[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-Developer-Y--cs-video-courses":3,"tool-Developer-Y--cs-video-courses":61},[4,18,26,36,44,53],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":17},4358,"openclaw","openclaw\u002Fopenclaw","OpenClaw 是一款专为个人打造的本地化 AI 助手，旨在让你在自己的设备上拥有完全可控的智能伙伴。它打破了传统 AI 助手局限于特定网页或应用的束缚，能够直接接入你日常使用的各类通讯渠道，包括微信、WhatsApp、Telegram、Discord、iMessage 等数十种平台。无论你在哪个聊天软件中发送消息，OpenClaw 都能即时响应，甚至支持在 macOS、iOS 和 Android 设备上进行语音交互，并提供实时的画布渲染功能供你操控。\n\n这款工具主要解决了用户对数据隐私、响应速度以及“始终在线”体验的需求。通过将 AI 部署在本地，用户无需依赖云端服务即可享受快速、私密的智能辅助，真正实现了“你的数据，你做主”。其独特的技术亮点在于强大的网关架构，将控制平面与核心助手分离，确保跨平台通信的流畅性与扩展性。\n\nOpenClaw 非常适合希望构建个性化工作流的技术爱好者、开发者，以及注重隐私保护且不愿被单一生态绑定的普通用户。只要具备基础的终端操作能力（支持 macOS、Linux 及 Windows WSL2），即可通过简单的命令行引导完成部署。如果你渴望拥有一个懂你",349277,3,"2026-04-06T06:32:30",[13,14,15,16],"Agent","开发框架","图像","数据工具","ready",{"id":19,"name":20,"github_repo":21,"description_zh":22,"stars":23,"difficulty_score":10,"last_commit_at":24,"category_tags":25,"status":17},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,"2026-04-05T11:01:52",[14,15,13],{"id":27,"name":28,"github_repo":29,"description_zh":30,"stars":31,"difficulty_score":32,"last_commit_at":33,"category_tags":34,"status":17},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",146793,2,"2026-04-08T23:32:35",[14,13,35],"语言模型",{"id":37,"name":38,"github_repo":39,"description_zh":40,"stars":41,"difficulty_score":32,"last_commit_at":42,"category_tags":43,"status":17},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",108111,"2026-04-08T11:23:26",[14,15,13],{"id":45,"name":46,"github_repo":47,"description_zh":48,"stars":49,"difficulty_score":32,"last_commit_at":50,"category_tags":51,"status":17},4721,"markitdown","microsoft\u002Fmarkitdown","MarkItDown 是一款由微软 AutoGen 团队打造的轻量级 Python 工具，专为将各类文件高效转换为 Markdown 格式而设计。它支持 PDF、Word、Excel、PPT、图片（含 OCR）、音频（含语音转录）、HTML 乃至 YouTube 链接等多种格式的解析，能够精准提取文档中的标题、列表、表格和链接等关键结构信息。\n\n在人工智能应用日益普及的今天，大语言模型（LLM）虽擅长处理文本，却难以直接读取复杂的二进制办公文档。MarkItDown 恰好解决了这一痛点，它将非结构化或半结构化的文件转化为模型“原生理解”且 Token 效率极高的 Markdown 格式，成为连接本地文件与 AI 分析 pipeline 的理想桥梁。此外，它还提供了 MCP（模型上下文协议）服务器，可无缝集成到 Claude Desktop 等 LLM 应用中。\n\n这款工具特别适合开发者、数据科学家及 AI 研究人员使用，尤其是那些需要构建文档检索增强生成（RAG）系统、进行批量文本分析或希望让 AI 助手直接“阅读”本地文件的用户。虽然生成的内容也具备一定可读性，但其核心优势在于为机器",93400,"2026-04-06T19:52:38",[52,14],"插件",{"id":54,"name":55,"github_repo":56,"description_zh":57,"stars":58,"difficulty_score":10,"last_commit_at":59,"category_tags":60,"status":17},4487,"LLMs-from-scratch","rasbt\u002FLLMs-from-scratch","LLMs-from-scratch 是一个基于 PyTorch 的开源教育项目，旨在引导用户从零开始一步步构建一个类似 ChatGPT 的大型语言模型（LLM）。它不仅是同名技术著作的官方代码库，更提供了一套完整的实践方案，涵盖模型开发、预训练及微调的全过程。\n\n该项目主要解决了大模型领域“黑盒化”的学习痛点。许多开发者虽能调用现成模型，却难以深入理解其内部架构与训练机制。通过亲手编写每一行核心代码，用户能够透彻掌握 Transformer 架构、注意力机制等关键原理，从而真正理解大模型是如何“思考”的。此外，项目还包含了加载大型预训练权重进行微调的代码，帮助用户将理论知识延伸至实际应用。\n\nLLMs-from-scratch 特别适合希望深入底层原理的 AI 开发者、研究人员以及计算机专业的学生。对于不满足于仅使用 API，而是渴望探究模型构建细节的技术人员而言，这是极佳的学习资源。其独特的技术亮点在于“循序渐进”的教学设计：将复杂的系统工程拆解为清晰的步骤，配合详细的图表与示例，让构建一个虽小但功能完备的大模型变得触手可及。无论你是想夯实理论基础，还是为未来研发更大规模的模型做准备",90106,"2026-04-06T11:19:32",[35,15,13,14],{"id":62,"github_repo":63,"name":64,"description_en":65,"description_zh":66,"ai_summary_zh":66,"readme_en":67,"readme_zh":68,"quickstart_zh":69,"use_case_zh":70,"hero_image_url":71,"owner_login":72,"owner_name":73,"owner_avatar_url":74,"owner_bio":73,"owner_company":73,"owner_location":73,"owner_email":73,"owner_twitter":73,"owner_website":73,"owner_url":75,"languages":73,"stars":76,"forks":77,"last_commit_at":78,"license":73,"difficulty_score":79,"env_os":80,"env_gpu":81,"env_ram":81,"env_deps":82,"category_tags":85,"github_topics":87,"view_count":106,"oss_zip_url":73,"oss_zip_packed_at":73,"status":17,"created_at":107,"updated_at":108,"faqs":109,"releases":110},5773,"Developer-Y\u002Fcs-video-courses","cs-video-courses","List of Computer Science courses with video lectures.","cs-video-courses 是一个精心整理的计算机科学视频课程清单，旨在为自学者提供系统化的学习路径。它汇集了全球知名高校（如加州大学伯克利分校、新南威尔士大学等）的完整课程录像，涵盖从编程基础、数据结构与算法，到操作系统、分布式系统、数据库等核心领域，并深入延伸至人工智能、机器学习、量子计算及区块链等前沿方向。\n\n面对网络上零散且质量参差不齐的教学资源，cs-video-courses 解决了学习者难以找到成体系、高难度大学级别课程的痛点。该项目严格筛选内容，仅收录真正的大学层级课程，排除了碎片化的简短教程或商业广告，确保用户能接触到严谨的学术内容。\n\n这份清单特别适合希望夯实计算机基础的开发者、需要补充特定领域知识的研究人员，以及渴望像在校生一样系统学习计算机科学的自学者。其独特的技术亮点在于分类极其详尽，不仅包含传统的软件工程与网络安全，还细分了生成式 AI、大语言模型、计算生物学等新兴学科，并直接链接至官方视频播放列表，让用户能一站式获取高质量的教育资源，免费享受世界顶尖大学的课堂体验。","\u003C!-- omit in toc -->\n# Computer Science courses with video lectures\n\n\u003C!-- omit in toc -->\n## Introduction\n\n- Please check [NOTES](https:\u002F\u002Fgithub.com\u002FDeveloper-Y\u002Fcs-video-courses\u002Fblob\u002Fmaster\u002FNOTES.md) for general information about this list.\n- Please refer [CONTRIBUTING.md](https:\u002F\u002Fgithub.com\u002FDeveloper-Y\u002Fcs-video-courses\u002Fblob\u002Fmaster\u002FCONTRIBUTING.md) for contribution guidelines.\n- Please feel free to raise any genuine issue you may have, however, it has been noticed that few people open empty issues to raise their GitHub contribution on their account. Such spammers will be blocked. \n- You are welcome to contribute, please create PR for actual college\u002FUniversity level courses. Please do not add links for small MOOCs, basic tutorials, or advertisements for some sites\u002Fchannels.\n\n------------------------------\n\nTable of Contents\n\n------------------------------\n- [Introduction to Computer Science](#introduction-to-computer-science)\n- [Data Structures and Algorithms](#data-structures-and-algorithms)\n- [Systems Programming](#systems-programming)\n  * [Operating Systems](#operating-systems)\n  * [Distributed Systems](#distributed-systems)\n  * [Real-Time Systems](#real-time-systems) \n- [Database Systems](#database-systems)\n- [Software Engineering](#software-engineering)\n  * [Object Oriented Design](#object-oriented-design)\n  * [Software Engineering](#software-engineering)\n  * [Software Architecture](#software-architecture)\n  * [Concurrency](#concurrency)\n  * [Mobile Application Development](#mobile-application-development)\n- [Artificial Intelligence](#artificial-intelligence)\n- [Machine Learning](#machine-learning)\n  * [Introduction to Machine Learning](#introduction-to-machine-learning)\n  * [Data Mining](#data-mining)\n  * [Probabilistic Graphical Modeling](#probabilistic-graphical-modeling)\n  * [Deep Learning](#deep-learning)\n  * [Reinforcement Learning](#reinforcement-learning)\n  * [Advanced Machine Learning](#advanced-machine-learning)\n  * [Natural Language Processing](#natural-language-processing)\n  * [Generative AI and LLMs](#generative-ai-and-llms)\n  * [Computer Vision](#computer-vision)\n  * [Time Series Analysis](#time-series-analysis)\n  * [Optimization](#optimization)\n  * [Unsupervised Learning](#unsupervised-learning)\n  * [Misc Machine Learning Topics](#misc-machine-learning-topics)\n- [Computer Networks](#computer-networks)\n- [Math for Computer Scientist](#math-for-computer-scientist)\n- [Web Programming and Internet Technologies](#web-programming-and-internet-technologies)\n- [Theoretical CS and Programming Languages](#theoretical-cs-and-programming-languages)\n- [Embedded Systems](#embedded-systems)\n- [Real time system evaluation](#real-time-system-evaluation)\n- [Computer Organization and Architecture](#computer-organization-and-architecture)\n- [Security](#security)\n- [Computer Graphics](#computer-graphics)\n- [Image Processing and Computer Vision](#image-processing-and-computer-vision)\n- [Computational Physics](#computational-physics)\n- [Computational Biology](#computational-biology)\n- [Quantum Computing](#quantum-computing)\n- [Robotics and Control](#robotics-and-control)\n- [Computational Finance](#computational-finance)\n- [Network Science](#network-science)\n- [Blockchain Development](#blockchain-development)\n- [Misc](#misc)\n\n\u003C!-- omit in toc -->\n## Courses\n\n------------------------------\n\n### Introduction to Computer Science\n- [COMP6991 - Rust Programming - UNSW (2022)](https:\u002F\u002Fcgi.cse.unsw.edu.au\u002F~cs6991\u002F22T2\u002F) | [Video Playlist](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGUxZeQTpJENZFOzGj-xUHOPuwpcCuIot)\n- [COMP1511 - Programming Fundamentals - UNSW (Complete Course: Lectures, Labs, Assignments, Exercises, Exams)](https:\u002F\u002Fcgi.cse.unsw.edu.au\u002F~cs1511\u002F25T2\u002F) | [Video Playlist](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlRElrOhPo9u_i-JpZUvGJCGI3j2CMWZs)\n- [CS 10 - The Beauty and Joy of Computing - Spring 2015 - Dan Garcia - UC Berkeley InfoCoBuild](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs10-spring2015-berkeley.html)\n- [6.0001 - Introduction to Computer Science and Programming in Python - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016\u002Fvideo_galleries\u002Flecture-videos\u002F)\n- [6.001 - Structure and Interpretation of Computer Programs, MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-001-structure-and-interpretation-of-computer-programs-spring-2005\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [Introduction to Computational Thinking - MIT](https:\u002F\u002Fcomputationalthinking.mit.edu\u002FFall22\u002F)\n- [CS 50 - Introduction to Computer Science, Harvard University](https:\u002F\u002Fonline-learning.harvard.edu\u002Fcourse\u002Fcs50-introduction-computer-science) ([cs50.tv](http:\u002F\u002Fcs50.tv\u002F2017\u002Ffall\u002F))\n- [CS50R - Introduction to Programming with R](https:\u002F\u002Fcs50.harvard.edu\u002Fr\u002F2024\u002F) ([Lecture Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhQjrBD2T382yfNp_-xzX244d-O9W6YmD))\n- [CS50: Introduction to Computer Science with Python - Harvard (David J. Malan)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V)\n- [CS 61A - Structure and Interpretation of Computer Programs [Python], UC Berkeley](https:\u002F\u002Fcs61a.org\u002F)\n- [CPSC 110 - Systematic Program Design [Racket], University of British Columbia](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC7dEjIUwSxSNcW4PqNRQW8w\u002Fplaylists?view=1&flow=grid&sort=da)\n- [CS50's Understanding Technology](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhQjrBD2T382p8amnvUp1rws1p7n7gJ2p)\n- [CSE 142 Computer Programming I (Java Programming), Spring 2016 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse142\u002F16sp\u002Fcalendar.shtml)\n- [CS 1301 Intro to computing - Gatech](https:\u002F\u002Fwww.cc.gatech.edu\u002Fclasses\u002FAY2016\u002Fcs1301c_fall\u002F)\n- [CS 106A - Programming Methodology, Stanford University](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS106A) ([Lecture Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL84A56BC7F4A1F852))\n- [CS 106B - Programming Abstractions, Stanford University](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS106B) ([Lecture Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnfg8b9vdpLn9exZweTJx44CII1bYczuk))\n- [CS 106L - Standard C++ Programming](https:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs106l\u002F)([Lecture Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCgD3ws8aVdolCexlz8f3U-RROA0s5jWA))\n- [CS 106X - Programming Abstractions in C++](http:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs106x\u002F) ([Lecture Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrivl8gTKLcpIJ-ktHCxMEgWOn8LawYhb))\n- [CS 107 - Programming Paradigms, Stanford University](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS107)\n- [CmSc 150 - Introduction to Programming with Arcade Games, Simpson College](http:\u002F\u002FProgramArcadeGames.com)\n- [IN2377 - Concepts of C++ programming (Winter 2023), TUM](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2023&term=W&slug=cpp&view=3) ([Winter 2022](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2022&term=W&slug=cpp&view=3)) ([Summer 2022](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2022&term=S&slug=ccppprog&view=3)) ([Summer 2021](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2021&term=S&slug=ccppprog&view=3))\n- [IN1503 - Advanced C++ Programming, TUM](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2023&term=W&slug=AdvProg&view=3)\n- [LINFO 1104 - Paradigms of computer programming, Peter Van Roy, Université catholique de Louvain, Belgium - EdX](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLw454N-VXALSIzIe_eL5U8L4S68v2X_ak)\n- [FP 101x - Introduction to Functional Programming, TU Delft](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fintroduction-to-functional-programming\u002F)\n- [Introduction to Problem Solving and Programming - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104074\u002F)\n- [Introduction to programming in C - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104128\u002F)\n- [Programming in C++ - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105151\u002F)\n- [Python Boot Camp Fall 2016 - Berkeley Institute for Data Science (BIDS)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKW2Azk23ZtSeBcvJi0JnL7PapedOvwz9)\n- [CS 101 - Introduction to Computer Science - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPmjFQ2w9j05WDX8Jtg5RXWW)\n- [6.00SC - Introduction to Computer Science and Programming (Spring 2011) - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-00sc-introduction-to-computer-science-and-programming-spring-2011\u002F)\n- [6.00 - Introduction to Computer Science and Programming (Fall 2008) - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-00-introduction-to-computer-science-and-programming-fall-2008\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [6.01SC - Introduction to Electrical Engineering and Computer Science I - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011\u002F)\n- [Modern C++ Course (2018) - Bonn University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGR50iIOtO36nK6aNPtVq98C)\n- [Modern C++ (Lecture & Tutorials, 2020, Vizzo & Stachniss) - University of Bonn](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGRM59sr3nSL8BmeMZR9GCIA)\n- [UW Madison CS 368 C++ for Java Programmers Fall 2020, by Michael Doescher](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXY5xcFHqg33srpQjC7q7jqITLxcErPCM)\n- [UW Madison CS 354 Machine Organization and Programming spring 2020, 2021, by Michael Doescher](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXY5xcFHqg32r5MZ-HfpA2Tr8Ke2lDYwI)\n- [Cornell CS 1110 Introduction to Computing using Python fall 2020, by Walker White](https:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs1110\u002F2020fa\u002Flessons\u002F) ([Lecture Videos](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FCS+1110+Fall+2020\u002F179890731))\n- [Cornell ECE 4960 Computational and Software Engineering spring 2017, by Edwin Kan](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcVqWUh-bHiFN2CY1KMTw0-L39iDXlemi)\n\n------------------------------\n\n### Data Structures and Algorithms\n\n- [ECS 36C - Data Structures and Algorithms (C++) - Spring 2020 - Joël Porquet-Lupine - UC Davis](https:\u002F\u002Flupteach.gitlab.io\u002Fcourses\u002Fucd-ecs36c\u002Fonline\u002F)\n- [Programming and Data Structures with Python, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https:\u002F\u002Fwww.cmi.ac.in\u002F~madhavan\u002Fcourses\u002Fpython2021sep\u002F)\n- [Graph Algorithms - Robert Sedgewick - Princeton University](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=0qF7tPSQdCg)\n- [EECS 477 - Introduction to Algorithms, Winter 2023, UMichigan](https:\u002F\u002Fsites.google.com\u002Fsite\u002Fthsaranurak\u002Fteaching\u002Fintro-algo)\n- [EECS 498 \u002F 598 - Advanced Graph Algorithms: Graph Algorithms via Graph Decomposition, Fall 2025, UMichigan](https:\u002F\u002Fsites.google.com\u002Fsite\u002Fthsaranurak\u002Fteaching\u002FGraphDecomp25)\n- [EECS 498 \u002F 598 - Advanced Graph Algorithms: Expanders and Fast Graph Algorithms, Fall 2021, UMichigan](https:\u002F\u002Fsites.google.com\u002Fsite\u002Fthsaranurak\u002Fteaching\u002FExpander)\n- [6.006 - Introduction to Algorithms, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-006-introduction-to-algorithms-spring-2020\u002Fvideo_galleries\u002Flecture-videos\u002F)\n- [MIT 6.006 Introduction to Algorithms, Spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY)\n- [Algorithms: Design and Analysis 1 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXFMmlk03Dt7Q0xr1PIAriY5623cKiH7V)\n- [Algorithms: Design and Analysis 2 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXFMmlk03Dt5EMI2s2WQBsLsZl7A5HEK6)\n- [COS 226 Algorithms, Youtube, Princeton - by Robert Sedgewick and Kevin Wayne](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=1QZDe28peZk&list=PLRdD1c6QbAqJn0606RlOR6T3yUqFWKwmX&index=1)\n- [CSE 331 Introduction to Algorithm Design and Analysis, SUNY University at Buffalo, NY - Fall 2017](http:\u002F\u002Fwww-student.cse.buffalo.edu\u002F~atri\u002Fcse331\u002Ffall17\u002Findex.html) ([Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZBCR-EGqNpoiHeO17FlLADJ38Kb3EiPU)) ([Homework Walkthroughs](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZBCR-EGqNpoVyQCIUDHiXnL-zdFD_ixk))\n- [CSE 373 - Analysis of Algorithms, Stony Brook - Prof Skiena](http:\u002F\u002Fwww.cs.sunysb.edu\u002F~algorith\u002Fvideo-lectures\u002F)\n- [COP 3530 Data Structures and Algorithms, Prof Sahni, UFL](http:\u002F\u002Fwww.cise.ufl.edu\u002F~sahni\u002Fcop3530\u002F) ([Videos](http:\u002F\u002Fwww.cise.ufl.edu\u002Facademics\u002Fcourses\u002Fpreview\u002Fcop3530sahni\u002F))\n- [CS225 - Data Structures - University of Illinois at Urbana-Champaign](https:\u002F\u002Fcs.illinois.edu\u002Fcourses\u002Fprofile\u002FCS225)([Video lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRdSp8jtJxBqG3KNQPKKB-0Z2hh9omoDo))\n- [CS2 - Data Structures and Algorithms Sim-Mautner - UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLsPlf0OhSLIqfpyxmomKcIcrht5K3IUOr)\n- [Data Structures - Pepperdine University](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdata-structures\u002Fid546468797)\n- [CS 161 - Design and Analysis of Algorithms, Prof. Tim Roughgarden, Stanford University](http:\u002F\u002Fopenclassroom.stanford.edu\u002FMainFolder\u002FCoursePage.php?course=IntroToAlgorithms)\n- [6.046J - Introduction to Algorithms - Fall 2005, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-046j-introduction-to-algorithms-sma-5503-fall-2005\u002F)\n- [Introduction to Algorithms (Spring 2020), MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-006-introduction-to-algorithms-spring-2020\u002F)\n- [6.046 - Design and Analysis of Algorithms, Spring 2015 - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-046j-design-and-analysis-of-algorithms-spring-2015\u002Flecture-videos\u002F)\n- [CS 473 - Algorithms - University of Illinois at Urbana-Champaign](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs473\u002Fsp2016\u002Flectures.html) ([Notes - Jeff Erickson](http:\u002F\u002Fjeffe.cs.illinois.edu\u002Fteaching\u002Falgorithms\u002F)) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0v718LJg-78SFq81e4kJh_rS8XbKZ7Kn))\n- [COMP300E - Programming Challenges, Prof Skiena, Hong Kong University of Science and Technology - 2009](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL07B3F10B48592010)\n- [16s-4102 - Algorithms, University of Virginia](http:\u002F\u002Fwww.cs.virginia.edu\u002F~shelat\u002F16s-4102\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCxXYk53cSZof2bR_Ax0uJYQ\u002Fvideos))\n- [CS 61B - Data Structures (Java) - UC Berkeley](https:\u002F\u002Ffa25.datastructur.es\u002F)([Discussion 2022](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=gG4--V_PpEk&list=PLjuu7kFWxFtZBm-5GifiVpqdAxeW7Hsax))\n- [CS 170 Algorithms - UCBerkeley](https:\u002F\u002Fcs170.org\u002F) [Fall 2019, Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKD4TU_QsvJI0G7QnrIS_7Wn) [Fall 2018, Youtube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fd5P-8IQwMY&list=PLkFD6_40KJIx8lWWbE-Uk069aZ1R-W-VU&index=2&t=0s) [Fall 2018,Bilibili](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002Fav43955743\u002F?p=1) [2013 Bilibili](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002Fav26670685\u002F)\n- [CS 159 Data-Driven Algorithm Design - Caltech](https:\u002F\u002Fsites.google.com\u002Fview\u002Fcs-159-spring-2020\u002Flectures?authuser=0) [Spring 2020, Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi4Dz6zBPypcI8I3oJUjFKk4)\n- [ECS 122A - Algorithm Design and Analysis, UC Davis](http:\u002F\u002Fweb.cs.ucdavis.edu\u002F~gusfield\u002Fcs122f10\u002Fvideolist.html)\n- [CSE 373 - Data Structures and Algorithms, Winter 2024 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse373\u002F24wi\u002F) ([Winter 2024, Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEcoVsAaONjd5n69K84sSmAuvTrTQT_Nl)) ([Spring 2023, Notes](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse373\u002F23sp\u002F)) ([Spring 2023, Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEcoVsAaONjfHSAbP1AsVjAxIOFue6uWh))\n- [CSEP 521 - Applied Algorithms, Winter 2013 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep521\u002F13wi\u002F) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep521\u002F13wi\u002Fvideo\u002F))\n- [Data Structures And Algorithms - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102064\u002F)\n- [Design and Analysis of Algorithms - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106101060\u002F)\n- [Programming, Data Structures and Algorithms - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106127\u002F)\n- [Design and Analysis of Algorithms - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106131\u002F)\n- [Fundamental Algorithms:Design and Analysis - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105157\u002F)\n- [Programming and Data Structure - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105085\u002F)\n- [Programming, Data structures and Algorithms - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106133\u002F)\n- [Programming, Data Structures and Algorithms in Python - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106145\u002F)\n- [Programming and Data structures (PDS) - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106130\u002F)\n- [COP 5536 Advanced Data Structures, Prof Sahni - UFL](http:\u002F\u002Fwww.cise.ufl.edu\u002F~sahni\u002Fcop5536\u002Findex.html) ([Videos](http:\u002F\u002Fwww.cise.ufl.edu\u002Facademics\u002Fcourses\u002Fpreview\u002Fcop5536sahni\u002F))\n- [CS 261 - A Second Course in Algorithms, Stanford University](http:\u002F\u002Ftheory.stanford.edu\u002F~tim\u002Fw16\u002Fw16.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEGCF-WLh2RJh2yDxlJJjnKswWdoO8gAc))\n- [CS 224 - Advanced Algorithms, Harvard University](http:\u002F\u002Fpeople.seas.harvard.edu\u002F~minilek\u002Fcs224\u002Ffall14\u002Findex.html) ([Lecture Videos](http:\u002F\u002Fpeople.seas.harvard.edu\u002F~minilek\u002Fcs224\u002Ffall14\u002Flec.html)) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf))\n- [CS 6150 - Advanced Algorithms (Fall 2016), University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCp8X9FHOglnLqFjyvqGLftx)\n- [CS 6150 - Advanced Algorithms (Fall 2017), University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCqS9Z419eky9m6gJP7zfhO9)\n- [ECS 222A - Graduate Level Algorithm Design and Analysis, UC Davis](http:\u002F\u002Fweb.cs.ucdavis.edu\u002F~gusfield\u002Fcs222f07\u002Fvideolist.html)\n- [6.851 - Advanced Data Structures, MIT](http:\u002F\u002Fcourses.csail.mit.edu\u002F6.851\u002Fspring14\u002Flectures\u002F) ([MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-851-advanced-data-structures-spring-2012\u002Flecture-videos\u002F))\n- [6.854 - Advanced Algorithms, MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) ([Prof. Karger lectures](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCtv9PiQVUDzsT4yl7524DCg\u002Fvideos))\n- [CS264 Beyond Worst-Case Analysis, Fall 2014 - Tim Roughgarden Lecture](http:\u002F\u002Ftheory.stanford.edu\u002F~tim\u002Ff14\u002Ff14.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEGCF-WLh2RL8jsZpaf2tLHa5LotFEt5b))\n- [CS364A Algorithmic Game Theory, Fall 2013 - Tim Roughgarden Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEGCF-WLh2RJBqmxvZ0_ie-mleCFhi2N4)\n- [CS364B Advanced Mechanism Design, Winter 2014 - Tim Roughgarden Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEGCF-WLh2RI77PL4gwLld_OU9Zh3TCX9)\n- [Algorithms - Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Falgorithms\u002Findex.php?view=cw)\n- [6.889 - Algorithms for Planar Graphs and Beyond (Fall 2011) MIT](http:\u002F\u002Fcourses.csail.mit.edu\u002F6.889\u002Ffall11\u002Flectures\u002F)\n- [6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-890-algorithmic-lower-bounds-fun-with-hardness-proofs-fall-2014\u002F)\n- [Computer Algorithms - 2 - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104019\u002F)\n- [Parallel Algorithm - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104120\u002F)\n- [Graph Theory - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108054\u002F)\n- [Data Structures - mycodeschool](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=92S4zgXN17o&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)\n- [Algorithmic Game Theory, Winter 2020\u002F21 - Uni Bonn](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyzcvvgje7aD_DjpmhFzQ9DVS8zzhrgp6)\n- [NETS 4120: Algorithmic Game Theory, Spring 2023 - UPenn](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlIlhe_rS4U1MfB0NzG4IWb7CM0xKkx4d)\n- [Introduction to Game Theory and Mechanism Design - IIT Kanpur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3eEm6KzZ3lF2TlVOnPyJHyGWJhUogn-D)\n- [15-850 Advanced Algorithms - CMU Spring 2023](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%2253c58248-7fd4-4f71-8774-af85013a570a%22&page=1)\n- [CS 270. Combinatorial Algorithms and Data Structures, Spring 2021](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~prasad\u002Fspring2021.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfkeJ2f4i0AfWApBP8X8YvQfN4WbRQTC3))\n- [CMU 15 850 Advanced Algorithms spring 2023, by Anupam Gupta](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%2253c58248-7fd4-4f71-8774-af85013a570a%22&page=1)\n- [UC Berkeley CS 294-165 Sketching Algorithms fall 2020, by Jelani Nelson](https:\u002F\u002Fwww.sketchingbigdata.org\u002Ffall20\u002Flec\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCdx1AVD-CAzNk5uXDu9wIA))\n- [UIUC CS 498 ABD \u002F CS 598 CSC Algorithms for Big Data fall 2020, by Chandra Chekuri](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_OA8_wY3nnSDLOSWr3PgYa)\n- [Algorithms for Data Science spring 2021, by Anil Maheshwari ](https:\u002F\u002Fpeople.scs.carleton.ca\u002F~maheshwa\u002Fcourses\u002FADS\u002FADS-S20.html)\n- [CMU 15 859 Algorithms for Big Data fall 2020, by David Woodruff](http:\u002F\u002Fwww.cs.cmu.edu\u002F~dwoodruf\u002Fteaching\u002F15859-fall20\u002Findex.html)\n- [CO 642 Graph Theory - University of Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2BdWtDKMS6mplieDd_vls0TBX9Fq2jht)\n- [COMS W4241 Numerical Algorithms spring 2006, by Henryk Wozniakowski - Columbia](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem98vm26lNUJ0TV0-EFrcUJb)\n- [Bonn Algorithms and Uncertainty summer 2021, by Thomas Kesselheim](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyzcvvgje7aDZRFMJZgaVgOW5t5KLvD1-)\n- [Harvard Information Theory 2022, by Gregory Falkovich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDEN2FPNHwVZKAFqfFl1b_NNAESTJwV9o)\n- [Math 510 - Linear Programming and Network Flows - Colorado State University](https:\u002F\u002Fwww.math.colostate.edu\u002F~adams\u002Fteaching\u002Fmath510fall2020\u002F)\n- [LINFO 2266 Advanced Algorithms for Optimization 2021, by Pierre Schaus - UCLouvain](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-wgYnJl5yMswlNkve_8oGU)\n- [MIT 6.5210 \u002F 6.854 \u002F 18.415 Advanced Algorithms Fall 2013, 2020, 2021, 2022, by David Karger](https:\u002F\u002F6.5210.csail.mit.edu\u002Fmaterials) ([Spring 2016, by Ankur Moitra](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c))\n- [CMU 10 801 Advanced Optimization and Randomized Algorithms spring 2014, by Suvrit Sra and Alex Smola](https:\u002F\u002Fwww.cs.cmu.edu\u002F~suvrit\u002Fteach\u002F)\n- [Purdue CS 381 Fundamental Algorithms, by Kent Quanrud](https:\u002F\u002Ffas22.s3.amazonaws.com\u002Ffas22-book.pdf) ([Spring 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gb6P9jG0-40AgZapdGGXPTD))\n- [Purdue CS 390 ATA Fundamental Algorithms Advanced, by Kent Quanrud](https:\u002F\u002Ffas25.s3.amazonaws.com\u002Ffas25.pdf) ([Spring 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gYOC4uogZcu54XKq57TVEs3))\n- [Purdue CS 580 Graduate Algorithms, by Kent Quanrud](https:\u002F\u002Ffas23.s3.amazonaws.com\u002Ffas23.pdf) ([Spring 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gYAwo5Tg4kP91ifXPF_FIQ1)) ([Spring 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gaGD6jZLeuLHTRW0ISFn6AU))\n- [Purdue CS 588 Randomized Algorithms, by Kent Quanrud](https:\u002F\u002Fras24.s3.amazonaws.com\u002Fras24.pdf) ([Fall 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gbjvT1yDQkwRU9UXahd0BP1)) ([Spring 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gZxc-FeLhbOFS99ZzlWl4He))\n- [UC Santa Cruz CSE 101 Intro to Data Structures and Algorithms fall 2022, by Seshadhri Comandur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fY1BCDxdiUSwkRHjnNI73G6) ([Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fZGffr1_MqCoaC5nUVtQIWz))\n- [UC Santa Cruz CSE 201 Analysis of Algorithms winter 2022, by Seshadhri Comandur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fYmOmrAAN-g1d4nFB2uz6tU)\n- [UC Santa Cruz CSE 202 Combinatorial Algorithms spring 2021, by Seshadhri Comandur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fbn9zAJfvJoQF1nc50KQR9g)\n- [UC Santa Cruz CSE 104, 204 Computational Complexity spring 2022, by Seshadhri Comandur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fYMPFnJeVZ0kt4KPwWcbF0o) ([Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fas529oXenovd3MyafNQbKl))\n- [UC Santa Cruz CSE 290A Randomized Algorithms spring 2020, by Seshadhri Comandur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0faRpH2oJcyW4CuM5Clt8a2n)\n- [University of Maryland CMSC351 Introduction to Algorithms, by Mohammad Hajiaghayi](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEJLQ9RubHk2zFuddXTD5_ac)\n- [University of Maryland CMSC858F Network Algorithms and Approximations, by Mohammad Hajiaghayi](https:\u002F\u002Fwww.cs.umd.edu\u002F~hajiagha\u002FNetDsgn11\u002FcourseNetworkDesign.html) ([YouTube playlists](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEIeJxOlTuXveAE5eY7WOYB9))\n- [University of Maryland CMSC858M Algorithmic Lower Bounds: Fun with Hardness Proofs, by Mohammad Hajiaghayi](https:\u002F\u002Fwww.cs.umd.edu\u002F~hajiagha\u002FALB19\u002FALB19.html) ([YouTube playlists](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEKwynDkSTacgJGivjoB2ksn))\n- [University of Maryland UMD DATA602 \u002F MSML602 Principles of Data Science spring 2024, by Mohammad Hajiaghayi](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEIzzVsO03ozPOCP7Yc-LNq_)\n- [Algorithms for Big-Data (Fall 2020) - Saket Saurabh](https:\u002F\u002Fsites.google.com\u002Fview\u002Fsakethome\u002Fteaching\u002Falgorithms-for-big-data-fall-2020)\n- [CS498ABD - Algorithms for Big Data - UIUC, Fall 2020](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs498abd\u002Ffa2020\u002Fschedule.html)\n- [Advanced Data Structures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN-ShipRKQ0h6jIphD381pHdQtj_APRM8)\n- [CS60025 Algorithmic Game Theory - IIT KGP - Winter 2020](http:\u002F\u002Fcse.iitkgp.ac.in\u002F~palash\u002FCourses\u002F2020AlgorithmicGameTheory\u002Fagt2020.html)\n- [CS60083 Parameterized Algorithms - IIT KGP](http:\u002F\u002Fcse.iitkgp.ac.in\u002F~palash\u002FCourses\u002F2020ParameterizedAlgo\u002FparamAlgo.html)\n- [Parameterized Complexity](https:\u002F\u002Fsites.google.com\u002Fview\u002Fsakethome\u002Fteaching\u002Fparameterized-complexity)\n- [Structural Graph Theory - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtDHG-2klXcEedB8L-jjvb17OIUZbF3gW)\n- [Information Theory - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F108\u002F108108168\u002F)\n\n\n\n\n------------------------------\n\n### Systems Programming\n- [COMP1521 - Computer Systems Fundamentals (2025) - UNSW (Full Course: Website + Lectures, Labs, Assignments, Exercises, Exams, Video Playlist)](https:\u002F\u002Fcgi.cse.unsw.edu.au\u002F~cs1521\u002F25T2\u002F) | [Watch Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUsPZdCcmwELH7BDprCzDSN40futwJGYb) \n- [15-213 Introduction to Computer Systems, Fall 2015  - CMU](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22b96d90ae-9871-4fae-91e2-b1627b43e25e%22&maxResults=150)\n- [Computer Systems: A programmer's Perspective](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyboo2CCDSWnhzzzzDQ3OBPrRiIjl-aIE)\n- [CS361 - COMPUTER SYSTEMS - UIC](https:\u002F\u002Fwww.cs.uic.edu\u002F~ckanich\u002Fcs361\u002Ff20\u002F)\n- [CS 3650 - Computer Systems - Fall 2020 - Nat Tuck - NEU](https:\u002F\u002Fweb.archive.org\u002Fweb\u002F20210423030302\u002Fhttps:\u002F\u002Fntuck-neu.site\u002F2020-09\u002Fcs3650\u002F) ([Lectures - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtg_A_3rzLAtBuwQp6mA3WveYw9Q7GzIZ))\n- [CS 4400 – Computer Systems   Fall 2016 - UoUtah](https:\u002F\u002Fwww.eng.utah.edu\u002F~cs4400\u002F)\n- [Systems - Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fsystems\u002Findex.php?view=cw)\n- [CS110: Principles of Computer Systems - Stanford](https:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Farchive\u002Fcs\u002Fcs110\u002Fcs110.1202\u002F)\n- #### **Operating Systems**\n  - [Gatech CS6200 Intro to OS](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTsf9UeqkReZbK7xqIYn_mXmsQZIb011T)\n  - [APS 105 - Computer Fundamentals - Winter 2025 - Jon Eyolfson - University of Toronto](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnm3ycdZKCg5Ex6DeuJhEWaG) ([Winter 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnma-0Z_0DZ3nkWKpZN7HGbw))\n  - [ECS 150 - Operating Systems and Systems Programming - Fall 2020 - Joël Porquet-Lupine - UC Davis](https:\u002F\u002Flupteach.gitlab.io\u002Fcourses\u002Fucd-ecs150\u002Fonline\u002F)\n  - [ECE 344 - Operating Systems - Fall 2024 - Jon Eyolfson - University of Toronto](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnntWWNJ64E7wC4KhsEwHWxB) ([Fall 2024 Section 2](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnlW3S8i4gSV9I_8qGX8xwtr)) ([Fall 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnngd9q965kViUzPqylDQ37M)) ([Fall 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnn-uwJeiOeWJctHC3MCORw9))\n  - [ECE 353 - Systems Software - Winter 2025 - Jon Eyolfson - University of Toronto](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnlUsOvAOhMs9yCHnH0Vs9w2) ([Winter 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnnfpqfSzQVbj4JWPAn1ByiF)) ([Winter 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnl0SZ2zsgyVjU9NDD_Rn-re))\n  - [ECE 454 - Computer Systems Programming - Fall 2024 - Jon Eyolfson - University of Toronto](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnlzwF1oYp2CJc1rFNldOisZ)\n  - [CS124 Operating Systems - California Institute of Technology, Fall 2018 - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3swII2vlVoVbav6FV98pidq6BsTN4u56)\n  - [CS 162 Operating Systems and Systems Programming, Spring 2015 - University of California, Berkeley](https:\u002F\u002Farchive.org\u002Fdetails\u002Fucberkeley-webcast-PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c?sort=titleSorter) ([Fall 2020 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF2K2xZjNEf97A_uBCwEl61sdxWVP7VWC))\n  - [CS 4414 - Operating Systems, University of Virginia (rust-class)](http:\u002F\u002Frust-class.org\u002Fpages\u002Fclasses.html)\n  - [CS 4414 Operating Systems, Fall 2018 - University of Virginia](https:\u002F\u002Fwww.cs.virginia.edu\u002F~cr4bd\u002F4414\u002FF2018\u002Fschedule.html)\n  - [CSE 421\u002F521 - Introduction to Operating Systems, SUNY University at Buffalo, NY - Spring 2016](https:\u002F\u002Fwww.ops-class.org\u002Fcourses\u002Fbuffalo\u002FCSE421_Spring2016\u002F) ([Lectures - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6LEE8y2Jp-kbEcVR2W3vfx0Pdca0BD3)) ([Recitations 2016](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6LEE8y2Jp_YJn8wu9aJTPOgeWqiaJDF)) ([Assignment walkthroughs](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6LEE8y2Jp9PC8fyzc2meL4XvrVSyP8O))\n  - [CS 377 - Operating Systems, Fall 16 - Umass OS](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacuG5pysFbDTmsCRGWsMW_PzIOpXnckw)\n  - [CS 577 - Operating Systems, Spring 20 - Umass OS](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacuG5pysFbB2_z9EkSfQIjq3yNzy8igs)\n  - [6.828 - Operating System Engineering [Fall 2014]](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfciLKR3SgqNJKKIKUliWoNBBH1VHL3AP)\n  - [6.S081 - Operating System Engineering [Fall 2020]](https:\u002F\u002Fpdos.csail.mit.edu\u002F6.828\u002F2020\u002Fschedule.html)\n  - [CSE 30341 - Operating Systems, Spr 2008](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAB7D5CA7E262B0E2)\n  - [CSEP 551 Operating Systems Autumn 2014 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep551\u002F14au\u002Fvideo\u002F)\n  - [Introduction to Operating Systems - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106144\u002F)\n  - [CS194 Advanced Operating Systems Structures and Implementation, Spring 2013 InfoCoBuild, UC Berkeley](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs194-spring2013-berkeley.html)\n  - [CSE 60641 - Graduate Operating Systems, Fall 08](https:\u002F\u002Fwww.youtube.com\u002Fview_play_list?p=22B10D854588E20C)\n  - [Advanced Programming in the UNIX Environment](https:\u002F\u002Fstevens.netmeister.org\u002F631\u002F)\n  - [Operating System - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBYcwlZ7GPCBzbowmiiF4BYR)\n- #### **Distributed Systems**\n  - [CS 677 - Distributed Operating Systems, Spring 24 - Umass OS](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacuG5pysFbBpWHfKUU9Dfdk8RmQ7B9EH)\n  - [CS 436 - Distributed Computer Systems - U Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLawkBQ15NDEkDJ5IyLIJUTZ1rRM9YQq6N)\n  - [6.824 - Distributed Systems, Spring 2015 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkcQbKbegkMqiWf7nF8apfMRL4P4sw8UL)\n  - [6.824 Distributed Systems - Spring 2020 - MIT](https:\u002F\u002Fpdos.csail.mit.edu\u002F6.824\u002Fschedule.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrw6a1wE39_tb2fErI4-WkMbsvGQk9_UB))\n  - [Distributed Systems Lecture Series](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)\n  - [Distributed Algorithms, https:\u002F\u002Fcanvas.instructure.com\u002Fcourses\u002F902299](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL700757A5D4B3F368)\n  - [CSEP 552 - PMP Distributed Systems, Spring 2013 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep552\u002F13sp\u002F) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep552\u002F13sp\u002Fvideo\u002F))\n  - [CSE 490H - Scalable Systems: Design, Implementation and Use of Large Scale Clusters, Autumn 2008 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse490h\u002F08au\u002Flectures.htm) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse490h\u002F08au\u002Fvideo.htm))\n  - [MOOC - Cloud Computing Concepts - UIUC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFd87qVsaLhOkTLvfp6MC94iFa_1c9wrU)\n  - [Distributed Systems (Prof. Pallab Dasgupta)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUJ7JmcrTifBROWODSG8wgyl20XgBuE-N)\n  - [EdX KTHx ID2203 Reliable Distributed Algorithms](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx3mQFFeHPjndmQ0iP9j6C58b90hqGa0X)\n  - [Distributed Data Management - Technische Universität Braunschweig, Germany](http:\u002F\u002Fwww.ifis.cs.tu-bs.de\u002Fteaching\u002Fss-15\u002Fddm)\n  - [Information Retrieval and Web Search Engines - Technische Universität Braunschweig, Germany](http:\u002F\u002Fwww.ifis.cs.tu-bs.de\u002Fteaching\u002Fws-1516\u002FIRWS)\n  - [Middleware and Distributed Systems (WS 2009\u002F10) - Dr. Martin von Löwis - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F729\u002F)\n  - [CSE 138 - Distributed Systems - UC Santa Cruz, Spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNPUF5QyWU8O0Wd8QDh9KaM1ggsxspJ31) ([2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNPUF5QyWU8PydLG2cIJrCvnn5I_exhYx))\n  - [CMU 15 440 \u002F 640 Distributed Systems Spring 2022, by Mahadev Satyanarayanan, Padmanabhan Pillai](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAp30J9kcVW9jPzFC7Otpol)\n  - [UNC Comp533 - Distributed Systems Spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLH5XTBxCO2hzgww9p5sew30lx3ngJsxcB)\n  - [Brown CSCI 1380 Distributed Computer Systems spring 2016, by Tom Doeppner & Rodrigo Fonseca](https:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs138\u002Fs16\u002Fsyllabus.html)\n  - [Distributed Systems lecture series - Martin Kleppmann](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)\n  - [Distributed Algorithms - Jukka Suomela](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2RY7P3JxZN8g9hFCasNqzuDhZbIbAj54)\n  - [Programming Parallel Computers - Jukka Suomela](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2RY7P3JxZN-Pz1nwvnoJ9uEHmOmv4jmi)\n  - [Gatech CS7210 Distributed Computing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTsf9UeqkReZwDtqm1WePRLlXCnh1hPQt)\n- #### **Real-Time Systems**\n  - [CPCS 663 - Real-Time Systems: Video Material - TAMU](http:\u002F\u002Ffaculty.cs.tamu.edu\u002Fbettati\u002FCourses\u002F663\u002FVideo\u002Fpresentation.html)\n  - [Real Time Systems - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105036\u002F)\n- [6.172 Performance Engineering of Software Systems - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-172-performance-engineering-of-software-systems-fall-2018\u002F)\n- [Performance Evaluation of Computer Systems - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106048\u002F)\n- [Storage Systems - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108058\u002F)\n- [MAP6264 - Queueing Theory - FAU](http:\u002F\u002Fwww.cse.fau.edu\u002F~bob\u002Fcourses\u002Fmap6264\u002F)([Video Lectures](https:\u002F\u002Fvimeo.com\u002Falbum\u002F171324\u002F))\n- [EE 380 Colloquium on Computer Systems - Stanford University](http:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fee380\u002F) ([Lecture videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu))\n\n------------------------------\n\n### Database Systems\n\n- [CMPSC 431W Database Management Systems, Fall 2015 - Penn State University](http:\u002F\u002Fwww.cse.psu.edu\u002F~wul2\u002Fcmpsc431w\u002F) [Lectures - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLstRzn3gXZMdXqAiVJ1NN2CoyXHqma7pQ)\n- [CS121 - Introduction to Relational Database Systems, Fall 2016 - Caltech](http:\u002F\u002Fusers.cms.caltech.edu\u002F~donnie\u002Fcs121\u002F)\n- [CS 5530 - Database Systems, Spring 2016 - University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrercQNP9tTsjjPdgRVYvC7)\n- [Distributed Data Management (WT 2018\u002F19) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1224\u002F)\n- [MOOC - Database Stanford Dbclass](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6hGtHedy2Z4EkgY76QOcueU8lAC4o6c3)\n- [CSEP 544, Database Management Systems, Au 2015 - University of Washington](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTPQEx-31JXjQYrUKvAjUTWgCYluHGs_L)\n- [Database Design - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106093\u002F)\n- [Fundamentals of Database Systems - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104135\u002F)\n- [Principles of Database Management, Bart Baesens](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdQddgMBv5zEhlpqdiUcf9aTNEtmESgyl)\n- [FIT9003 Database Systems Design - Monash University](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fpodcast\u002Ffit9003-database-systems-design\u002Fid306569364)\n- [15-445 - Introduction to Database Systems, CMU](https:\u002F\u002F15445.courses.cs.cmu.edu\u002Ffall2025\u002F) ([YouTube-2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjYutVzTeAds8xUt1rcmyT7x)), ([YouTube-2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXja3hgmuwhf89qboV1kOxMx7)),([YouTube-2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjbohkNBWQs_otTrBTrjyohi)), ([YouTube-2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjZaHA6QcxDfJ0SIWBzQFKEG)), ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjaKScG3l0nuOiDTTqpfnWFf)),([YouTube-2023](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjbj8BMuIrRcacnQh20hmY9g&si=R7F_J9zbXsG07PjR)),([YouTube-2024](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq&si=H-wfgjoLz6ifhZqS)),([YouTube-2025](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYMAgsGH-GtY5rJYZ6zjsd5&si=KKXgy16Zm20utGyH))\n- [15-721 - Advanced Database Systems, CMU](http:\u002F\u002F15721.courses.cs.cmu.edu\u002Fspring2024) ([YouTube-2024](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYa_zX-KeMJui7pcN1rIaIJ&si=J9cH2uZ0pFUu8q6f), [YouTube-2023](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYzlLMbX3cR0sxWnRM7CLFn&si=O78E7wsQlVhgwE_u), [YouTube-2022](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjasmrEd2_Yi1deeE360zv5O&si=DsDfVhDp6j0n981J))\n- [CS122 - Relational Database System Implementation, Winter 2014-2015 - Caltech](http:\u002F\u002Fusers.cms.caltech.edu\u002F~donnie\u002Fcs122\u002F)\n- [CS 186 - Database Systems, UC Berkeley, Spring 2015](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs186-spring2015-berkeley.html)\n- [CS 6530 - Graduate-level Database Systems, Fall 2016, University of Utah](https:\u002F\u002Fwww.cs.utah.edu\u002F~lifeifei\u002Fcs6530\u002F) ([Lectures - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCqwHUcieMrytP453Ep0y6eI))\n- [6.830\u002F6.814 - Database Systems Fall 2014](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfciLKR3SgqOxCy1TIXXyfTqKzX2enDjK)\n- [Informatics 1 - Data & Analysis 2014\u002F15- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Fda.htm)\n- [Database Management Systems, Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fdatabases\u002Findex.php?view=cw)\n- [D4M - Signal Processing on Databases](https:\u002F\u002Focw.mit.edu\u002Fresources\u002Fres-ll-005-d4m-signal-processing-on-databases-fall-2012\u002F)\n- [In-Memory Data Management (2013)Prof. Hasso Plattner - HPI](https:\u002F\u002Fopen.hpi.de\u002Fcourses\u002Fimdb2013\u002Fitems\u002F72j6pftms3dOSunM98JhfW)\n- [Distributed Data Management (WT 2019\u002F20) - Dr. Thorsten Papenbrock - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1285\u002F)\n- [CS122d - NoSQL Data Management (Spring 21) - Prof. Mike Carey - UC Irvine](https:\u002F\u002Fuci.yuja.com\u002FV\u002FPlayList?node=9933576&a=1583628376&autoplay=1)\n\n------------------------------\n\n### Software Engineering\n\n- #### **Object Oriented Design**\n  - [ECE 462 Object-Oriented Programming using C++ and Java - Purdue](https:\u002F\u002Fengineering.purdue.edu\u002FOOSD\u002FF2008\u002FF2008.html)\n  - [Object-oriented Program Design and Software Engineering - Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fjava\u002Findex.php?view=cw)\n  - [OOSE - Object-Oriented Software Engineering, Dr. Tim Lethbridge](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6iDJCG2nkhfNlig8NY5ePPfGvtQX6yLa)\n  - [Object Oriented Systems Analysis and Design (Systems Analysis and Design in a Changing World)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6XklZATqYx9dj72MKG6wLYjljeB2odra)\n  - [CS 251 - Intermediate Software Design (C++ version) - Vanderbilt University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ9NgFYEMxp4ZsvD10uXmClGnukcu3Uff)\n  - [OOSE - Software Dev Using UML and Java](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)\n  - [Object-Oriented Analysis and Design - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105153\u002F)\n  - [CS3 - Design in Computing - Richard Buckland UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0C5D85DBA20E685C)\n  - [Informatics 1 - Object-Oriented Programming 2014\u002F15- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Finf1op.htm)\n  - [Software Engineering with Objects and Components 2015\u002F16- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Fseoc.htm)\n- #### **Software Engineering**\n  - [Computer Science 169- Software Engineering - Spring 2015 - UCBerkeley](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLVEFwJhglgHJQEQ6RjMMjcclix94gp1k2)\n  - [Computer Science 169- Software Engineering - Fall 2019 - UCBerkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIxCKgzL0uysjsAtfY3JawLS)\n  - [CS 5150 -  Software Engineering, Fall 2014 - Cornell University](http:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs5150\u002F2014fa\u002Fmaterials.html)\n  - [Introduction to Service Design and Engineering - University of Trento, Italy](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLBdajHWwi0JCn87QuFT3e58mekU0-6WUT)\n  - [CS 164 Software Engineering - Harvard](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=3zdfCR6c8vw&list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS)\n  - [System Analysis and Design - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108102\u002F)\n  - [Software Engineering - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106101061\u002F)\n  - [Dependable Systems (SS 2014)- HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1005\u002F)\n  - [Automated Software Testing - ETH Zürich | Spring 2024](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-infk\u002F2024\u002Fspring\u002F263-2815-00L\u002F9c81df65-d04d-411a-bea4-cbd32eb249e5.html)\n  - [Software Testing - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105150\u002F)\n  - [Software Testing - Udacity, course-cs258 | 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g)\n  - [Software Debugging - Udacity, course-cs259 | 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A)\n  - [Software Engineering - Bauhaus-Uni Weimar](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=jouBM4AH0jw&list=PLjEglKdMOevU2STTGq79duxTXDFuO-k1H&index=2)\n  - [CMU 17-445 Software Engineering for AI-Enabled Systems summer 2020, by Christian Kaestner](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDS2JMJnJzdkQPdkhcuwcbJpjB84g9ffX)\n- #### **Software Architecture**\n  - [CS 411 - Software Architecture Design - Bilkent University](http:\u002F\u002Fvideo.bilkent.edu.tr\u002Fcourse_videos.php?courseid=10)\n  - [MOOC - Software Architecture & Design - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkMTetlG7xKWaI5ZAZFX8fL)\n  - [CS-310 Scalable Software Architectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWl7jvxH18r0u5VRZsOjhghNXc_Ec4dZz)\n- #### **Concurrency**\n  - [CS176 - Multiprocessor Synchronization - Brown University](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs176\u002Fcourse_information.shtml) ([Videos from 2012](http:\u002F\u002Fwww.brown.edu\u002Fcis\u002Fsta\u002Fdev\u002Fherlihy_csci1760_fa12\u002F#vid))\n  - [CS 282 (2014): Concurrent Java Network Programming in Android](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ9NgFYEMxp4KSJPUyaQCj7x--NQ6kvcX)\n  - [CSE P 506 – Concurrency, Spring 2011 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep506\u002F11sp\u002FHome.html) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep506\u002F11sp\u002FVideos.html))\n  - [CSEP 524 - Parallel Computation - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep524\u002F10sp\u002F) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep524\u002F10sp\u002Flectures\u002Fvideo.html))\n  - [Parallel Programming Concepts (WT 2013\u002F14) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F977\u002F)\n  - [Parallel Programming Concepts (WT 2012\u002F13) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F924\u002F)\n  - [UIUC ECE 408 \u002F CS 408 Applied Parallel Programming fall 2022, by Wen-mei Hwu, Sanjay Patel](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6RdenZrxrw-UKfRL5smPfFFpeqwN3Dsz) ([Spring 2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRRuQYjFhpmvu5ODQoY2l7D0ADgWEcYAX))\n  - [UIUC ECE 508 \u002F CS 508 Manycore Parallel Algorithms spring 2019, by Wen-mei Hwu](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRRuQYjFhpmspsME4LmLbuCG1VHbJmIcy)\n  - [UIUC CS 420 \u002F ECE 492 \u002F CSE 402 Introduction to Parallel Programming for Scientists and Engineers fall 2015, by Sanjay Kale](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9cAjfy_RPjAc6k-HPYpTa9)\n  - [Stanford CME 213 Introduction to Parallel Computing using MPI, openMP, and CUDA winter 2020, by Eric Darve](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAtMgFDMfGy2mysjPHN_d1cf9sR1muRkq)\n- #### **Mobile Application Development**\n  - [MOOC Programming Mobile Applications for Android Handheld Systems - University of Maryland](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkHsKoi6eZnwilGXUc95CqS7Vw4uLLDLG)\n  - [CS 193p - Developing Applications for iOS, Stanford University](https:\u002F\u002Fcs193p.sites.stanford.edu\u002F)\n  - [CS S-76 Building Mobile Applications - Harvard](http:\u002F\u002Fcs76.tv\u002F2013\u002Fsummer\u002F)\n  - [CS 251 (2015): Intermediate Software Design](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ9NgFYEMxp7lylj-XC8h1kjatOjbh9ne)\n  - [Android App Development for Beginners Playlist - thenewboston](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6gx4Cwl9DGBsvRxJJOzG4r4k_zLKrnxl)\n  - [Android Application Development Tutorials - thenewboston](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2F07DBCDCC01493A)\n  - [MOOC - Developing Android Apps - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPnMwH5-FNkErnnq_aSy706S)\n  - [MOOC - Advanced Android App Development - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPmETCT07vnDSiIaUBuyut0X)\n  - [CSSE490 Android Development Rose-Hulman Winter 2010-2011, Dave Fisher](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF3EEB647F6B52F03)\n  - [iOS Course, Dave Fisher](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL96C635E4DCD393A8)\n  - [Developing iPad Applications for Visualization and Insight - Carnegie Mellon University](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdeveloping-ipad-applications\u002Fid499050344)\n  - [Mobile Computing - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106147\u002F)\n  - [Mobile Information Systems - Bauhaus-Uni Weimar](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=8EmbrZJwMOI&list=PLjEglKdMOevWv4zPW0diw7iJFdT7s4sTP)\n\n------------------------------\n\n### Artificial Intelligence\n\n- [CS50 - Introduction to Artificial Intelligence with Python (and Machine Learning), Harvard OCW](https:\u002F\u002Fcs50.harvard.edu\u002Fai\u002F)\n- [10-202: Introduction to Modern AI - CMU](https:\u002F\u002Fmodernaicourse.org\u002F)\n- [CS 188 - Introduction to Artificial Intelligence, UC Berkeley - Spring 2025, by John Canny, Oliver Grillmeyer](https:\u002F\u002Finst.eecs.berkeley.edu\u002F~cs188\u002Fsp25\u002F) ([Spring 2024](https:\u002F\u002Finst.eecs.berkeley.edu\u002F~cs188\u002Fsp24\u002F)) ([Spring 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLp8QV47qJEg7WWVg_5eOECzVPpy23UjJz))\n- [6.034 Artificial Intelligence, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-034-artificial-intelligence-fall-2010\u002Flecture-videos\u002F)\n- [CS221: Artificial Intelligence: Principles and Techniques - Autumn 2019 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX)\n- [15-780 - Graduate Artificial Intelligence, Spring 14, CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~zkolter\u002Fcourse\u002F15-780-s14\u002Flectures.html)\n- [CSE 592 Applications of Artificial Intelligence, Winter 2003 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep573\u002F03wi\u002Flectures\u002Findex.htm)\n- [CS322 - Introduction to Artificial Intelligence, Winter 2012-13 - UBC](http:\u002F\u002Fwww.cs.ubc.ca\u002F~mack\u002FCS322\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDPnGbm0sUmpzvcGvktbz446SLdFbfZVU))\n- [CS 4804: Introduction to Artificial Intelligence, Fall 2016](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUenpfvlyoa1iiSbGy9BBewgiXjzxVgBd)\n- [CS 5804: Introduction to Artificial Intelligence, Spring 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUenpfvlyoa0PB6_kqJ9WU7m6i6z1RhfJ)\n- [Artificial Intelligence, Fall 2023 - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3595) ([Spring 2023](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3386)) ([Fall 2022](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3180)) ([Spring 2021](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2095)) ([Fall 2020](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1690)) ([Fall 2018](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F713)) ([Spring 2018](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F657))\n- [Artificial Intelligence - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105077\u002F)\n- [Artificial Intelligence - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106126\u002F)\n- [Artificial Intelligence(Prof.P.Dasgupta) - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105079\u002F)\n- [MOOC - Intro to Artificial Intelligence - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPlqMkzr4xyuD6cXTIgPuzgn)\n- [MOOC - Artificial Intelligence for Robotics - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkCSYXw6-a_aAoXVKLDwnHK)\n- [Graduate Course in Artificial Intelligence, Autumn 2012 - University of Washington](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbQ3Aya0VERDoDdbMogU9EASJGWris9qG)\n- [Agent-Based Systems 2015\u002F16- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Fabs.htm)\n- [Informatics 2D - Reasoning and Agents 2014\u002F15- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Finf2d.htm)\n- [Artificial Intelligence - Hochschule Ravensburg-Weingarten](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL39B5D3AFC249556A)\n- [Deductive Databases and Knowledge-Based Systems - Technische Universität Braunschweig, Germany](http:\u002F\u002Fwww.ifis.cs.tu-bs.de\u002Fteaching\u002Fws-1516\u002FKBS)\n- [Artificial Intelligence: Knowledge Representation and Reasoning - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106140\u002F)\n- [Semantic Web Technologies by Dr. Harald Sack - HPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAeihlKcWpzVzB51rr014TwD)\n- [Knowledge Engineering with Semantic Web Technologies by Dr. Harald Sack - HPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAcBXlhTti7kzetSsi1PpJGR)\n- [T81-558: Applications of Deep Neural Networks by Jeff Heaton, 2022, Washington University in St. Louis](https:\u002F\u002Fsites.wustl.edu\u002Fjeffheaton\u002Ft81-558\u002F)\n- [MSU programming for AI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ-krWGO-UEz84TseDMIlx2Set6xZp0YP)\n\n------------------------------\n\n### Machine Learning\n\n- #### **Introduction to Machine Learning**\n  - [Introduction to Machine Learning for Coders](https:\u002F\u002Fcourse18.fast.ai\u002Fml)\n  - [MOOC - Statistical Learning, Stanford University](http:\u002F\u002Fwww.dataschool.io\u002F15-hours-of-expert-machine-learning-videos\u002F)\n  - [Statistical Learning with Python - Stanford Online](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ)\n  - [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)\n  - [CS 155 - Machine Learning & Data Mining, 2023 - Caltech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLu5yXJ11s4r-nBlojSQC9seeUF1IxX-_z) ([Notes-2020](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2020_winter\u002F)) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi67hPzb9zJXH1cbeN7LKNiD)) ([Notes-2019](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2019_winter\u002F)) ([YouTube-2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi7r2trKGgwaedY17MADTay4)) ([Notes-2018](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2018_winter\u002F)) ([YouTube-2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi644ypoxzP1frkPYVHdjDJU)) ([Notes-2017](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2017_winter\u002F)) ([YouTube-2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC)) ([Notes-2016](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2016_winter\u002F)) ([YouTube-2016](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))\n  - [CS 156 - Learning from Data, Caltech](https:\u002F\u002Fwork.caltech.edu\u002Flectures.html)\n  - [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~ninamf\u002Fcourses\u002F601sp15\u002Flectures.shtml) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ))\n  - [10-601 Machine Learning | CMU | Fall 2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)\n  - [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~tom\u002F10701_sp11\u002Flectures.shtml) ([Fall 2014](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn)) ([Fall 2020 by Ziv Bar-Joseph, Eric Xing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLsWN0V-b507g7dbQTUvFkKZEqdHR5Fh4P))\n  - [10 - 301\u002F601 - Introduction to Machine Learning - Fall 2023 - CMU](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22d5bf275d-ff88-4bf6-a865-b065010f55c2%22)\n  - [6.036 - Machine Learning, Broderick - MIT Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV)\n  - [Mediterranean Machine Learning summer school 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1bV4Zd1UepYfyZXkv6Bz6ra) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1Y-Bret-wrcPypPCZ3Gg_3L)) ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1agtfVaDsDUaMHmToP84Fk6)) ([YouTube-2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked))\n  - [LxMLS Lisbon Machine Learning School 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQeh4eRfAwETbtJJLPKcDLrzw) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQeikRCf-wJ8NCK51JOMHGOCP)) ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQejdxQL7qI5aJkLcAQJ68Abp)) ([YouTube-2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQegzsLin54NbfePFAuTUEmUj)) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQehE6aAk774yWMag4NNBGr5k))\n  - [Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83)\n  - [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh) ([Spring 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy))\n  - [CMS 165 Foundations of Machine Learning - 2019 - Caltech](http:\u002F\u002Ftensorlab.cms.caltech.edu\u002Fusers\u002Fanima\u002Fcms165-2019.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLVNifWxslHCA5GUh0o92neMiWiQiGVFqp))\n  - [CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)\n  - [Microsoft Research - Machine Learning Course](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)\n  - [CS 446 - Machine Learning, Fall 2016, UIUC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O)\n  - [CS 582 - Machine Learning for Bioinformatics, Fall 2024, UIUC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBtxPX875Z8suCYGJkrPQ2Z)\n  - [CMPUT 267 Machine Learning - Fall 2024 - University of Alberta](https:\u002F\u002Fvladtkachuk4.github.io\u002Fmachinelearning1\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLv_4EzuTPftra9U1UyjzMZABTPY50TGO0))\n  - [ECE 364 - Programming Methods for Machine Learning, Spring 2025, UIUC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKD0WT5NEsD6AIqaeV4azJwN)\n  - [undergraduate machine learning at UBC 2012, Nando de Freitas](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6Wd9FR--Ecf_5nCbnSQMHqORpiChfJf)\n  - [CS 229 - Machine Learning - Stanford University](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS229) ([Autumn 2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU))\n  - [CS 189\u002F289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~jrs\u002F189\u002F)\n  - [CPSC 340: Machine Learning and Data Mining (2018) - UBC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWmXHcz_53Q02ZLeAxigki1JZFfCO6M-b)\n  - [CS391L Machine Learning, Spring 2025 - UT Austin](https:\u002F\u002Futcs-ml-course.github.io\u002Fmain\u002FLectures\u002F)\n  - [CS4780\u002F5780 Machine Learning, Fall 2013 - Cornell University](http:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs4780\u002F2013fa\u002F)\n  - [CS4780\u002F5780 Machine Learning, Fall 2018 - Cornell University](http:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs4780\u002F2018fa\u002Fpage18\u002Findex.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS))\n  - [CSE474\u002F574 Introduction to Machine Learning - SUNY University at Buffalo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEQDy5tl3xkMzk_zlo2DPzXteCquHA8bQ)\n  - [CS 5350\u002F6350 - Machine Learning, Spring 2024, University of Utah](https:\u002F\u002Fsvivek.com\u002Fteaching\u002Fmachine-learning\u002Fspring2024\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCr-ANNi5GZid3MvSkzm_wnM))\n  - [ECE 4252\u002F8803 Fundamentals of Machine Learning (FunML), Spring 2024 - Georgia Tech](https:\u002F\u002Falregib.ece.gatech.edu\u002Fgeorgia-tech-courses\u002Ffunml\u002F)\n  - [ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech](https:\u002F\u002Ffilebox.ece.vt.edu\u002F~s15ece5984\u002F)\n  - [CSx824\u002FECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUenpfvlyoa0rMoE5nXA8kdctBKE9eSob)\n  - [STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto](http:\u002F\u002Fwww.cs.toronto.edu\u002F~rsalakhu\u002FSTA4273_2015\u002Flectures.html)\n  - [CSC 2515 Introduction to Machine Learning, Amir-massoud Farahmand, Fall 2021, University of Toronto](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCveiXxL2xNZRg7PVp-JM4teSmaBETksy)\n  - [ECE 421 Introduction to Machine Learning, Amir Ashouri, Winter 2019, University of Toronto](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-Mfq5QS-s8iS9XqKuApPE1TSlnZblFHF)\n  - [EECS 4404E\u002F5327 Introduction to Machine Learning, Amir Ashouri, Fall 2019, York University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-Mfq5QS-s8horb94sQH4xcL85zDkpL9w)\n  - [CS 480\u002F680 Introduction to Machine Learning, Gautam Kamath, University of Waterloo](http:\u002F\u002Fwww.gautamkamath.com\u002Fcourses\u002FCS480-sp2021.html) ([Spring 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmd_zeMNzSvSzRRc4Q29qEcpxbhdwjMOx))\n  - [CS 480\u002F680 Introduction to Machine Learning, Kathryn Simone, University of Waterloo](https:\u002F\u002Fgithub.com\u002Fkpc-simone\u002Fcs480-f24) ([Fall 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLH84ETHrlsC8sbfb8WaOeXSx9ySH2Qoyc))\n  - [CS 485\u002F685 Machine Learning, Shai Ben-David, University of Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCR4_akQ1HYMUcDszPQ6jh8Q\u002Fvideos)\n  - [STAT 441\u002F841 Classification Winter 2017 , Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld_B5adG)\n  - [10-605 - Machine Learning with Large Datasets, Fall 2016 - CMU](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCIE4UdPoCJZMAZrTLuq-CPQ\u002Fvideos)\n  - [Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)\n  - [Pattern Analysis (2018) - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F655) ([Class 2017](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F544)) ([Class 2016](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F449)) ([Class 2015](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F355)) ([Class 2009](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2))\n  - [Pattern Recognition (2020-2021) - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1579) ([Class 2012-2013](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F173))\n  - [Beyond the Patterns (2020-2021) - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1868)\n  - [Python and machine learning - Stanford Crowd Course Initiative](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB)\n  - [MOOC - Machine Learning Part 1a - Udacity\u002FGeorgia Tech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo) ([Part 1b](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPlkESDcHD-0oqVx5sAIgz7O) [Part 2](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7) [Part 3](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp))\n  - [Pattern Recognition Class (2012)- Universität Heidelberg](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuRaSnb3n4kRDZVU6wxPzGdx1CN12fn0w)\n  - [Introduction to Machine Learning and Pattern Recognition - CBCSL OSU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcXJymqaE9PPGGtFsTNoDWKl-VNVX5d6b)\n  - [Introduction to Machine Learning - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105152\u002F)\n  - [Introduction to Machine Learning - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106139\u002F)\n  - [Pattern Recognition - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117108048\u002F)\n  - [Pattern Recognition and Application - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105101\u002F)\n  - [Pattern Recognition - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106046\u002F)\n  - [Machine Learning Summer School 2013 - Max Planck Institute for Intelligent Systems Tübingen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)\n  - [Machine Learning - Professor Kogan (Spring 2016) - Rutgers](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLauepKFT6DK_1_plY78bXMDj-bshv7UsQ)\n  - [CS273a: Introduction to Machine Learning](http:\u002F\u002Fsli.ics.uci.edu\u002FClasses\u002F2015W-273a) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkWzaBlA7utJMRi89i9FAKMopL0h0LBMk))\n  - [Machine Learning Crash Course 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyGKBDfnk-iD5dK8N7UBUFVVDBBtznenR)\n  - [COM4509\u002FCOM6509 Machine Learning and Adaptive Intelligence 2015-16](http:\u002F\u002Finverseprobability.com\u002Fmlai2015\u002F)\n  - [Introduction to Machine Learning - Spring 2018 - ETH Zurich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)\n  - [Machine Learning - Pedro Domingos- University of Washington](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FUWCSE\u002Fplaylists?view=50&sort=dd&shelf_id=16)\n  - [CSE 446\u002F546 - Machine Learning, Spring 2020 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse446\u002F20sp\u002Fschedule\u002F) ([Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrE1feouzSWr7LBFAeRZIb7CN9H6dB9Jt))\n  - [Machine Learning (COMP09012)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t)\n  - [Probabilistic Machine Learning 2020 - University of Tübingen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)\n  - [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)\n  - [COMS W4995 - Applied Machine Learning - Spring 2020 - Columbia University](https:\u002F\u002Fwww.cs.columbia.edu\u002F~amueller\u002Fcomsw4995s20\u002Fschedule\u002F)\n  - [Machine Learning for Engineers 2022](https:\u002F\u002Fapmonitor.com\u002Fpds) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Gh5rbBLh4JY&list=PLLBUgWXdTBDg1K1bu60lHypSzSP-WSBmx))\n  - [10-418 \u002F 10-618 (Fall 2019) Machine Learning for Structured Data](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4CxkUJbvNVihRKP4bXufvRLIWzeS-ieP)\n  - [ORIE 4741\u002F5741: Learning with Big Messy Data - Cornell](https:\u002F\u002Fpeople.orie.cornell.edu\u002Fmru8\u002Forie4741\u002Flectures.html)\n  - [Machine Learning in IoT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeZoXD_TLsLbW_ILvL9TlhBYdW8wJyON-)\n  - [Stanford CS229M: Machine Learning Theory - Fall 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh)\n  - [Intro to Machine Learning and Statistical Pattern Classification - Prof Sebastian Raschka](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3)\n  - [CMU's Multimodal Machine Learning course (11-777), Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-Fhd_vrvisNup9YQs_TdLW7DQz-lda0G)\n  - [EE104: Introduction to Machine Learning - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK)\n  - [CPSC 330: Applied Machine Learning (2020) - UBC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWmXHcz_53Q2BXsWviGgEqdlSHmfsjSzC)\n  - [Machine Learning 2013 - Nando de Freitas, UBC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6)\n  - [Machine Learning, 2014-2015, University of Oxford](https:\u002F\u002Fwww.cs.ox.ac.uk\u002Fpeople\u002Fnando.defreitas\u002Fmachinelearning\u002F)\n  - [10-702\u002F36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](https:\u002F\u002Fwww.stat.cmu.edu\u002F~ryantibs\u002Fstatml\u002F) ([Spring 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne_Y8r))\n  - [10-715 Advanced Introduction to Machine Learning - CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~bapoczos\u002FClasses\u002FML10715_2015Fall\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ))\n  - [CS 281B - Scalable Machine Learning, Alex Smola, UC Berkeley](http:\u002F\u002Falex.smola.org\u002Fteaching\u002Fberkeley2012\u002Fsyllabus.html)\n  - [100 Days of Machine Learning - CampusX (Hindi)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKnIA16_Rmvbr7zKYQuBfsVkjoLcJgxHH)\n  - [CampusX Data Science Mentorship Program 2022-23 (Hindi)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z)\n  - [Statistical Machine Learning - S2023 - Benyamin Ghojogh](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPrxGIUWsqP2g7cpk0nFFt0c4aRcREq2s)\n  - [MIT 6.5940 EfficientML.ai Lecture, Fall 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)\n  - [TinyML - Tiny Machine Learning at UPenn](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7rtKJAz_mPe6kAbiH6Ucq02Vpa95qvBJ)\n  - [ECE 4760 (Digital Systems Design Using Microcontrollers) at Cornell for the Fall, 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDqMkB5cbBA5oDg8VXM110GKc-CmvUqEZ) ([Spring 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDqMkB5cbBA6FEJuj94gl-9vw8xcHu9Gp))\n  - [EfficientML.ai Lecture, Fall 2023, MIT 6.5940](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)\n  - [SFU CMPT 727 Statistical Machine Learning, by Maxwell Libbrecht](https:\u002F\u002Fcoursys.sfu.ca\u002F2023sp-cmpt-727-g1\u002Fpages\u002F) ([Spring 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_5SuHtr8fsrK9NqWWSL4YL8urMAHLsvU)) ([Spring 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_5SuHtr8fsp95AhIKeTHbpcVdhlhB9h6))\n  - [UC Berkeley CS 189 \u002F 289A Introduction to Machine Learning fall 2023, by Jennifer Listgarten & Jitendra Malik](https:\u002F\u002Feecs189.org\u002F)\n  - [UC Berkeley CS 189 Introduction to Machine Learning (CDSS offering) spring 2022, by Marvin Zhang](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCuQm2FL98HTlRmlwMk2AuFEM9n1c06HE)\n  - [UC San Diego\u002FedX DSE 220X Machine Learning Fundamentals, by Sanjoy Dasgupta](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUPLKa8g2P75vrLVe6HKdgAwfuU89RfqB)\n  - [MIT 6.036 Introduction to Machine Learning spring 2019, by Leslie Kaelbling](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQEw29vp6f1Ae9dp8vkKB8H6sF1PHvP5N)\n  - [LMU Munich Introduction to Machine Learning](https:\u002F\u002Fslds-lmu.github.io\u002Fi2ml\u002F)\n  - [CMU 15 388 \u002F 15 688 Practical Data Science, by Zico Kolter](https:\u002F\u002Fwww.datasciencecourse.org\u002Flectures\u002F) ([Fall 2019](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22618ea253-ca45-4b14-9f1d-aab501543bd2%22)) ([Spring 2018](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22912b80a3-625d-405d-8905-a8620133666b%22))\n  - [UW Madison CS 320 Data Programming II spring 2021, by Tyler R. Caraza-Harter](https:\u002F\u002Ftyler.caraza-harter.com\u002Fcs320\u002Fs21\u002Fschedule.html)\n  - [UC San Diego COGS9 Introduction to Data Science fall 2020, by Jason Fleischer](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaaNbhBDEsoFarUB58v9s7pUVoyAahMeQ)\n  - [UCLA Stats 15 Introduction to Data Science fall 2022, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCEzYDpJha6hP6ne-50sT1o)\n  - [UCLA Stats 21 Python and Other Technologies for Data Science spring 2024, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAdsiprcbdk5HHPxS6PloWE) ([Spring 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKR7271tMEmgBPgu4LtjDhX3ywpTxda5g))\n  - [UCLA Stats C161\u002FC261 Introduction to Pattern Recognition and Machine Learning winter 2024, by Arash Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SxQ2vlXxlZVMKkt4gI1YYP8) ([Winter 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SwLCXGUyM3FNSRwG6GNgONr))\n  - [UCLA Stats 231C Theories of Machine Learning spring 2022, by Arash Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SxKyZLv_FotPDED5ET_rQmo)\n  - [Princeton COS 511 Theoretical Machine Learning spring 2026, by Elad Hazan](https:\u002F\u002Fsites.google.com\u002Fview\u002Fcos-511-spring-2026\u002Fhome)\n  - [MSU Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=kMf0qDtQ_PM&list=PLZ-krWGO-UEyPHsZfOjYH03_TyIN2pPhl&pp=iAQB)\n  - [Data Science for Dynamical Systems, by Oliver Wallscheid & Sebastian Peitz](https:\u002F\u002Fgithub.com\u002FDS-4-DS\u002FDS4DS_Course) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@DataScience4DynamicalSystems\u002Fplaylists))\n  - [Cambridge Statistical Learning in Practice 2021, by Alberto J. Coca](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLn1JSlh3WT_b7sMBktkAgV9-cP052JFhb)\n  - [Data 8: The Foundations of Data Science - UC Berkeley](http:\u002F\u002Fdata8.org\u002F) ([Spring 23](https:\u002F\u002Fwww.data8.org\u002Fsp23\u002F)) ([Fall 22](https:\u002F\u002Fwww.data8.org\u002Ffa22\u002F)) ([Spring 22](https:\u002F\u002Fwww.data8.org\u002Fsp22\u002F)) ([Summer 17](http:\u002F\u002Fdata8.org\u002Fsu17\u002F))\n  - [Data 144: Foundations of Data Science spring 2021 - Vassar College](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKB9hHuywn56TraSMv2pRumr) ([Course materials](https:\u002F\u002Fgithub.com\u002Fjwaterman\u002Fdata144-materials-sp21))\n  - [CSE519 - Data Science Fall 2016 - Skiena, SBU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOtl7M3yp-DVBdLYatrltDJr56AKZ1qXo)\n  - [CS 109 Data Science, Harvard University](http:\u002F\u002Fcs109.github.io\u002F2015\u002Fpages\u002Fvideos.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLb4G5axmLqiuneCqlJD2bYFkBwHuOzKus))\n  - [6.0002 Introduction to Computational Thinking and Data Science - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-0002-introduction-to-computational-thinking-and-data-science-fall-2016\u002Flecture-videos\u002F)\n  - [Data 100: Principles and Techniques of Data Science - UC Berkeley](https:\u002F\u002Fds100.org) ([Fall 25](https:\u002F\u002Fds100.org\u002Ffa25\u002Flectures\u002F01\u002F)) ([Fall 24](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBzDKR72ILypzPQZ_Cz6HcH)) ([Spring 24](https:\u002F\u002Fds100.org\u002Fsp24\u002F)) ([Summer 19](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR))\n  - [Data 102 - Spring 21- UC Berkeley](https:\u002F\u002Fdata102.org\u002Fsp21\u002F#lecture-week-14) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAEbY32OXjmkQbD0uRhge9Y))\n  - [Distributed Data Analytics (WT 2017\u002F18) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1179\u002F)\n  - [Data Profiling and Data Cleansing (WS 2014\u002F15) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1027\u002F)\n  - [CS 229r - Algorithms for Big Data, Harvard University](http:\u002F\u002Fpeople.seas.harvard.edu\u002F~minilek\u002Fcs229r\u002Ffall15\u002Flec.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2SOU6wwxB0v1kQTpqpuu5kEJo2i-iUyf))\n  - [Algorithms for Big Data - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106142\u002F)\n  - [Python Data Science with the TCLab](https:\u002F\u002Fgithub.com\u002FAPMonitor\u002Fdata_science) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=pAgW_bZVo88&list=PLLBUgWXdTBDg1Qgmwt4jKtVn9BWh5-zgy))\n  - [Foundations of Data Analysis (Fall 2020)- University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCqB1sx1eheVmLtp2EN7osYt)\n\n  \n- #### **Data Mining**\n  - [CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep546\u002F16sp\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr))\n  - [CS 5140\u002F6140 - Data Mining, Spring 2020, University of Utah by Prof. Jeff Phillips](https:\u002F\u002Fusers.cs.utah.edu\u002F~jeffp\u002Fteaching\u002Fcs5140-S20\u002Fcs5140.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrEf65zrd3J1UG3LT6TcDlt))\n  - [CS 5140\u002F6140 - Data Mining, Spring 2023, University of Utah by Prof. Ana Marasović](https:\u002F\u002Futah-data-mining-spring23.github.io\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrnLNqZPnTuG_s19TNDoad0))\n  - [CS 5955\u002F6955 - Data Mining, University of Utah](http:\u002F\u002Fwww.cs.utah.edu\u002F~jeffp\u002Fteaching\u002Fcs5955.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCcrlwW88yMcXujhGjSP2WBg\u002Fvideos))\n  - [Statistics 202 - Statistical Aspects of Data Mining, Summer 2007 - Google](http:\u002F\u002Fwww.stats202.com\u002Foriginal_index.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFE776F2C513A744E))\n  - [MOOC - Text Mining and Analytics by ChengXiang Zhai](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLssT5z_DsK8Xwnh_0bjN4KNT81bekvtt)\n  - [Information Retrieval SS 2014, iTunes - HPI](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Finformation-retrieval-ss-2014\u002Fid874200291)\n  - [MOOC - Data Mining with Weka](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD)\n  - [CS 290 DataMining Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLB4CCA346A5741C4C)\n  - [CS246 - Mining Massive Data Sets, Winter 2016, Stanford University](https:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs246\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC_Oao2FYkLAUlUVkBfze4jg\u002Fvideos))\n  - [Information Retrieval - Spring 2018 - ETH Zurich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn)\n  - [Information Retrieval - WS 2022\u002F23 - Universität Freiburg](https:\u002F\u002Fad-wiki.informatik.uni-freiburg.de\u002Fteaching\u002FInformationRetrievalWS2223)\n  - [CAP6673 - Data Mining and Machine Learning - FAU](http:\u002F\u002Fwww.cse.fau.edu\u002F~taghi\u002Fclasses\u002Fcap6673\u002F)([Video lectures](https:\u002F\u002Fvimeo.com\u002Falbum\u002F1505953))\n  - [CS 412 - Introduction to Data Mining - UIUC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDZi44-yuH2XH9UaHdaJkxs)\n  - [CS 512 - Data Mining Principles - UIUC](https:\u002F\u002Fgithub.com\u002Fspacemanidol\u002FCS512DM\u002Ftree\u002Fmain\u002Flectures) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKABUzEm9v1PuKLlb0AQ9tdH))\n  \n- #### **Probabilistic Graphical Modeling**\n  - [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut)\n  - [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](https:\u002F\u002Fwww.cs.cmu.edu\u002F~epxing\u002FClass\u002F10708-20\u002Flectures.html)\n  - [Probabilistic Graphical Models, Daphne Koller, Stanford University](http:\u002F\u002Fopenclassroom.stanford.edu\u002FMainFolder\u002FCoursePage.php?course=ProbabilisticGraphicalModels)\n  - [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)\n  \n- #### **Deep Learning**\n  - [Full Stack Deep Learning - Course 2022](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=-Iob-FW5jVM&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur)\n  - [Full Stack Deep Learning - Course 2021](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fGxWfEuUu0w&list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)\n  - [NYU Deep Learning Spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)\n  - [NYU Deep Learning Spring 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)\n  - [6.S191: Introduction to Deep Learning - MIT](http:\u002F\u002Fintrotodeeplearning.com\u002F)\n  - [15.773: Hands-On Deep Learning Spring 2024 - MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F15-773-hands-on-deep-learning-spring-2024\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [6.7960: Deep Learning Fall 2024 - MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-7960-deep-learning-fall-2024\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [Intro to Deep Learning and Generative Models Course - Prof Sebastian Raschka](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)\n  - [Deep Learning CMU](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC8hYZGEkI2dDO8scT8C5UQA\u002Fvideos)\n  - [CS231n Deep Learning for Computer Vision - Stanford University](https:\u002F\u002Fcs231n.stanford.edu\u002Fschedule.html) ([Spring 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16)) ([Winter 2016 Andrej Karpathy](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC))\n  - [Deep Learning: CS 182 Spring 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)\n  - [10-414\u002F714: Deep Learning Systems - CMU](https:\u002F\u002Fdlsyscourse.org\u002Flectures\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002F@deeplearningsystemscourse1116\u002Fvideos))\n  - [11-785: Introduction to Deep Learning - CMU](https:\u002F\u002Fdeeplearning.cs.cmu.edu\u002FS24\u002Findex.html) ([Lectures - YouTube-2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLp-0K3kfddPxUJzAW0KxNNjGiK_hISFas), [Recitations - YouTube-2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLp-0K3kfddPzNnco9QQAoTx_sVhZgHK-n))\n  - [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https:\u002F\u002Fcourse.fast.ai\u002F)\n  - [Part 2: Deep Learning from the Foundations - fast.ai](https:\u002F\u002Fcourse19.fast.ai\u002Fpart2)\n  - [Deep learning at Oxford 2015 - Nando de Freitas](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)\n  - [Self-Driving Cars — Andreas Geiger, 2021\u002F22](https:\u002F\u002Funi-tuebingen.de\u002Ffakultaeten\u002Fmathematisch-naturwissenschaftliche-fakultaet\u002Ffachbereiche\u002Finformatik\u002Flehrstuehle\u002Fautonomous-vision\u002Flectures\u002Fself-driving-cars\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=wAaSJUAKPuY&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr))\n  - [6.S094: Deep Learning for Self-Driving Cars - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)\n  - [CS294-129 Designing, Visualizing and Understanding Deep Neural Networks](https:\u002F\u002Fbcourses.berkeley.edu\u002Fcourses\u002F1453965\u002Fpages\u002Fcs294-129-designing-visualizing-and-understanding-deep-neural-networks) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIxopmdJF_CLNqG3QuDFHQUm))\n  - [CS230: Deep Learning - Autumn 2018 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)\n  - [CS230: Deep Learning - Autumn 2025 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X)\n  - [STAT-157 Deep Learning 2019 - UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)\n  - [Deep Learning, Stanford University](http:\u002F\u002Fopenclassroom.stanford.edu\u002FMainFolder\u002FCoursePage.php?course=DeepLearning)\n  - [MOOC - Neural Networks for Machine Learning, Geoffrey Hinton 2016 - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)\n  - [Stat 946 Deep Learning - University of Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)\n  - [EECS 298 Theory of Computational Neural Networks and Machine Learning (Fall 2020) - UC Irvine](https:\u002F\u002Fgrandcentral.eee.uci.edu\u002Fsyllabus\u002Fdownload\u002FF-2020\u002F17815) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBAh1HWXPOI3Rw59WdRlJXu))\n  - [ECE 1508 Applied Deep Learning - University of Toronto](https:\u002F\u002Fwww.bereyhi.com\u002Fdeep-learning) ([Fall 2025](https:\u002F\u002Fbereyhi-courses.github.io\u002Fdl-utoronto\u002F)) ([Winter 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcFgNUo9s_AgsMOnniTMIWmLpjj9vZ1Wm)) ([Fall 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcFgNUo9s_Ajz1l4rBDIApwdcEKgzoMko))\n  - [ECE 1508 Reinforcement Learning - Fall 2025 - University of Toronto](https:\u002F\u002Fbereyhi-courses.github.io\u002Frl-utoronto\u002Flectures\u002F)\n  - [Neural networks class - Université de Sherbrooke](http:\u002F\u002Finfo.usherbrooke.ca\u002Fhlarochelle\u002Fneural_networks\u002Fcontent.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))\n  - [DLCV - Deep Learning for Computer Vision - UPC Barcelona](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-5eMc3HQTBavDoZpFcX-bff5WgQqSLzR)\n  - [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)\n  - [Neural Networks and Applications - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105084\u002F)\n  - [UVA DEEP LEARNING COURSE](http:\u002F\u002Fuvadlc.github.io\u002F#lecture)\n  - [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)\n  - [Geometric Deep Learning - AMMI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)\n  - [Math for Deep Learning — Andreas Geiger](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm)\n  - [Applied Deep Learning 2025 - TU Wien](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE8H1o874cZbiwnNRJ6hCDJI) ([2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE8tSQuU3jN71fmmGFFCi7Dc)) ([2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE87JO3T_mvedVTlw0sjUzKh)) ([2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE_QaTwYxoTmmRJHtMXyIAU6)) ([2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE_wsWK3t6NEeYtwOorGfowm)) ([2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE8xNYTEyorbaWPN7nvbWyk1))\n  - [Neural Networks: Zero to Hero - Andrej Karpathy](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)\n  - [CIS 522 - Deep Learning - U Penn](https:\u002F\u002Fwww.youtube.com\u002F@cis522-deeplearning8\u002Fplaylists)\n  - [UVA DEEP LEARNING COURSE](http:\u002F\u002Fuvadlc.github.io\u002F#lecture)\n  - [Deep Learning (Fall 2020) - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1600) ([Spring 2020](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F925)) ([Fall 2019](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F849)) ([Spring 2019](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F758)) ([Fall 2018](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F701)) ([Spring 2018](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F662))\n  - [Deep Learning (Fall 2020) - Georgia Tech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7)\n  - [Mathematics of Deep Learning (2021) - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F878)\n  - [CS7015 - Deep Learning - Prof. Mitesh M. Khapra - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)\n  - [ETH Zürich | Deep Learning in Scientific Computing 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJkYEExhe7rYY5HjpIJbgo-tDZ3bIAqAm)\n  - [Deep Learning François Fleuret](https:\u002F\u002Ffleuret.org\u002Fdlc\u002F)\n  - [Applied Deep Learning Maziar Raissi](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)\n  - [UC Berkeley CS 182 \u002F 282a Deep Learning spring 2023, by Anant Sahai](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAaj_UAJcazYN4964xZ7Lt1)\n  - [CMSC 828W Foundations of Deep Learning (Fall 2020) - UMD](https:\u002F\u002Fwww.cs.umd.edu\u002Fclass\u002Ffall2020\u002Fcmsc828W\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf))\n  - [TUM IN2346 Introduction to Deep Learning Fall 2024, by Daniel Cremers](https:\u002F\u002Fcvg.cit.tum.de\u002Fteaching\u002Fws2024\u002Fi2dl) ([Summer 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ8Y4kIIbzy_pGm2QAwF625E6nmcRu2sU))\n  - [UT Austin - Advances in Deep Learning](https:\u002F\u002Fut.philkr.net\u002Fadvances_in_deeplearning\u002F)\n  - [HKU - Data 8014 Principles of Deep Representation Learning Fall 2025, by Yi Ma](https:\u002F\u002Fma-lab-berkeley.github.io\u002Fdeep-representation-learning-book\u002Fcommunity.html)\n  - [Local Explanations for Deep Learning Models (Fall 2023)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCoto690B1eTReTznuSC9qYX)\n  - [CS 6966\u002F5966 Interpretability of LLMs (Spring 2026) - University of Utah](https:\u002F\u002Futah-llm-interpretability.notion.site\u002Fs26)\n\n  \n- #### **Reinforcement Learning**\n  - [CS234: Reinforcement Learning - Spring 2024 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX) ([Winter 2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u))\n  - [CSE 542: Reinforcement Learning - Spring 2024 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse542\u002F24sp\u002Fschedule\u002F)\n  - [CSE 579: Reinforcement Learning - Autumn 2024 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse579\u002F24au\u002Fschedule\u002F)\n  - [CSC 2547: Introduction to Reinforcement Learning - Spring 2021 - University of Toronto](https:\u002F\u002Famfarahmand.github.io\u002FIntroRL\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq))\n  - [Introduction to reinforcement learning - UCL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)\n  - [Reinforcement Learning - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9) ([TA - Manav Mishra](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLpKrAXMumEsjAR1Ybb0qbTKGYd9RY0vxa), [TA - Prabhleen Kukreja](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTt_oMmEiDJhBPjy_aedcoeIY-IsaDBOn), [TA - Sandarbh Yadav ](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoo_WPzXEM1ShdfOxv-adi3JdhRX4rA7F), [TA - Avik Kar](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLz2x4RAIbeXkTJFEipkD_ds3z0qx8_5D7))\n  - [Special topics in ML (Reinforcement Learning) IIT madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBbDiVplM2I9q2XNso1Qfj62)\n  - [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)\n  - [CS 224R - Deep Reinforcement Learning- Stanford](https:\u002F\u002Fcs224r.stanford.edu\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPwxE0ONYRa_itZFdaKCylL))\n  - [CS 285 - Deep Reinforcement Learning- UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)\n  - [CS 294 112 - Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37)\n  - [NUS CS 6101 - Deep Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLllwxvcS7ca5wOmRLKm6ri-OaC0INYehv)\n  - [ECE 8851: Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_Nk3YvgORJs1tCLQnlnSRsOJArj_cP9u)\n  - [CS294-112, Deep Reinforcement Learning Sp17](http:\u002F\u002Frll.berkeley.edu\u002Fdeeprlcourse\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX))\n  - [UCL Course 2015 on Reinforcement Learning by David Silver from DeepMind](http:\u002F\u002Fwww0.cs.ucl.ac.uk\u002Fstaff\u002Fd.silver\u002Fweb\u002FTeaching.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2pWv7GOvuf0))\n  - [Deep RL Bootcamp - Berkeley Aug 2017](https:\u002F\u002Fsites.google.com\u002Fview\u002Fdeep-rl-bootcamp\u002Flectures)\n  - [Reinforcement Learning - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)\n  - [Reinforcement Learning Course at KTH (FDD3359 - 2022)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL21JFJEtbq0JLNo53UIkbIwkc2njCVUUR)\n  - [Reinforcement Learning Course at ASU, Spring 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj)\n  - [CS 4789\u002F5789: Introduction to Reinforcement Learning - Cornell](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQVNhPb8ajtCjWSKUvKU8cX5lueYP9s3X)\n  - [S20\u002FIE613 - Online (Machine) Learning\u002F Bandit Algorithms](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDREIwGwrHBdiBm1q0cVJLZn4Cn6Hig2s)\n  - [Reinforcement Learning - Fall 2021 chandar-lab](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)\n  - [CMU 10 703 Deep Reinforcement Learning & Control fall 2022, by Katerina Fragkiadaki](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22ee5794a2-cb54-4edc-836b-aefc01023243%22)\n  - [ECE524 Foundations of Reinforcement Learning at Princeton University, Spring 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLYXvCE1En13epbogBmgafC_Yyyk9oQogl)\n  - [REINFORCEMENT LEARNING AND OPTIMAL CONTROL - Dimitri P. Bertsekas, ASU](https:\u002F\u002Fweb.mit.edu\u002Fdimitrib\u002Fwww\u002FRLbook.html)\n  - [CMU 16 745 Optimal Control and Reinforcement Learning spring by Zac Manchester](https:\u002F\u002Fwww.youtube.com\u002F@roboticexplorationlab3724\u002Fplaylists)\n  - [CMU 16 899 Adaptive Control and Reinforcement Learning fall 2020, by  Changliu Liu](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZL5VXraKdz-0zByoPNzNTqSirR4veU8z)\n  - [Jadavpur University, 2025: Introduction to Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcNLn_ApooUzGJW60RcD2HRrL7sm0HG-w)\n  - [EE675 (2024) Introduction to Reinforcement Learning Course | IIT Kanpur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZAmMLcSnKRICBNyjraAhQdtdJFFgyRL5)\n  - [Reinforcement Learning Course by Frédéric Godin - Concordia University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFskzTP727yc5eXXm09Xst7bIk5fi7mD6)\n  - [CS 285: Deep RL, 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_iWQOsE6TfVYGEGiAOMaOzzv41Jfm_Ps)\n  - [Mathematical Foundations of Reinforcement Learning - WINDY Lab](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEhdbSEZZbDaFWPX4gehhwB9vJZJ1DNm8)\n  - [Reinforcement Learning (HMC CS 181V)—Spring, 2020 - Neil Rhodes](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2Yggtk_pK69evEzfwQHm9ASOCbXPlXPS)\n  - [Reinforcement Learning Course: Lectures (Summer 2023) by Paderborn University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4GzQQuIDBGv-IFxRSgydCR7OrOM_xKqN)\n  - [CS292F (Spring 2021) Statistical Foundation of Reinforcement Learning - UCSD](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FRLCourse-2021Spring\u002F)\n  - [Algorithmic Foundations of Interactive Learning - CMU](https:\u002F\u002Finteractive-learning-algos.github.io\u002F)\n  \n- #### **Advanced Machine Learning**\n  - [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https:\u002F\u002Fwww.cmi.ac.in\u002F~madhavan\u002Fcourses\u002Faml2021)\n  - [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)\n  - [CS 330 - Deep Multi-Task and Meta Learning - Fall 2019 - Stanford University](https:\u002F\u002Fcs330.stanford.edu\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5))\n  - [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI)\n  - [ES 661 (2023): Probabilistic Machine Learning - IIT Gandhinagar](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLftoLyLEwECBEJyfRBJoSBd0UaTjEcs3I)\n  - [Information Retrieval in High Dimensional Data](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaE1lKCe0jH3ePp9wCU1ygTquVOXY-UYv)\n  - [Trustworthy Machine Learning - Winter Semester 2023-2024, University of Tübingen](https:\u002F\u002Fscalabletrustworthyai.github.io\u002Fcourses\u002Ftml_winter_2324\u002F)\n  - [Trustworthy Machine Learning - Winter Semester 2024-2025, University of Tübingen](https:\u002F\u002Fscalabletrustworthyai.github.io\u002Fcourses\u002Ftml_winter_2425\u002F)\n  - [ETH Zürich Advanced Machine Learning fall 2019, by Joachim M. Buhmann](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-infk\u002F2019\u002Fautumn\u002F252-0535-00L.html)\n  - [CS 159 Advanced Topics in Machine Learning, Spring 2021 - Caltech](https:\u002F\u002F1five9.github.io\u002F)\n  - [CS 229br Advanced Topics in the theory of machine learning, Spring 2021 - Harvard](https:\u002F\u002Fboazbk.github.io\u002Fmltheoryseminar\u002Fcs229br.html)\n  \n  \n- #### **Natural Language Processing**\n  - [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs224n\u002F) ([Lectures -  Winter 2019](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures -  Winter 2021](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)) ([Lectures - Spring 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOaMFbaqxPDoLWjDaRAdP9D))\n  - [CS 224N - Natural Language Processing, Stanford University](https:\u002F\u002Fweb.stanford.edu\u002F~jurafsky\u002FNLPCourseraSlides.html) ([Lecture videos](https:\u002F\u002Facademictorrents.com\u002Fdetails\u002Fd2c8f8f1651740520b7dfab23438d89bc8c0c0ab))\n  - [Stanford XCS224U: Natural Language Understanding I Spring 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp)\n  - [CS388: Natural Language Processing - UT Austin](https:\u002F\u002Fwww.cs.utexas.edu\u002F~gdurrett\u002Fcourses\u002Fonline-course\u002Fmaterials.html)\n  - [CS 124 - From Languages to Information - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC_48v322owNVtORXuMeRmpA\u002Fplaylists?view=50&sort=dd&shelf_id=2)\n  - [CS 6340\u002F5340 - Natural Language Processing - University of Utah - Spring 2024](https:\u002F\u002Futah-intro-nlp.github.io\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43))\n  - [CSE 447\u002F517 - Natural Language Processing - University of Washington - Winter 2024](https:\u002F\u002Fsafe-fernleaf-26d.notion.site\u002FWinter-24-CSE-447-517-Natural-Language-Processing-4142333a001143d2be5ecff1a535c4ab)\n  - [Neural Networks: Zero to Hero - Andrej Karpathy](https:\u002F\u002Fkarpathy.ai\u002Fzero-to-hero.html)\n  - [fast.ai Code-First Intro to Natural Language Processing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9) ([Github](https:\u002F\u002Fgithub.com\u002Ffastai\u002Fcourse-nlp))\n  - [MOOC - Natural Language Processing - Coursera, University of Michigan](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR)\n  - [Natural Language Processing at UT Austin (Greg Durrett)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLofp2YXfp7Tbk88uH4jejfXPd2OpWuSLq)\n  - [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)\n  - [Deep Learning for Natural Language Processing, 2017 - Oxford University](https:\u002F\u002Fgithub.com\u002Foxford-cs-deepnlp-2017\u002Flectures)\n  - [Natural Language Processing - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106101007\u002F)\n  - [CMU Advanced NLP Fall 2024](https:\u002F\u002Fphontron.com\u002Fclass\u002Fanlp-fall2024\u002Fschedule\u002F) ([Lectures - Fall 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8D4BeyjwWczukWq9d8PNyZp)) ([Lectures - Fall 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8AYSXn_GKVgwXVluCT9chJ6))\n  - [CMU Neural Nets for NLP 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)\n  - [Natural Language Processing - Michael Collins - Columbia University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLA212ij5XG8OTDRl8IWFiJgHR9Ve2k9pv)\n  - [CMU CS11-711 - Advanced Natural Language Processing](https:\u002F\u002Fcmu-l3.github.io\u002Fanlp-spring2025\u002F) ([Lectures - Spring 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqC25OT8ZpD3WxQ0FwWMGPS_BcWdcKyZy))\n  - [CMU CS11-737 - Multilingual Natural Language Processing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)\n  - [UMass CS685: Advanced Natural Language Processing (Spring 2022)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWnsVgP6CzadI4-FT2Po4wsEK7MHCIQ-d)\n  - [Natural Language Processing (CMSC 470)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwrUPjGidcJ4UkSoi7_rmn-1kcedLqgdL)\n  - [Stanford CS25 - Transformers United 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)\n  - [Natural Language Processing (IN2361) - TUM](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2019&term=W&slug=nlp&view=3)\n  - [Natural Language Processing (Spring 2024) - University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43)\n  - [Multilingual NLP 2020 - CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)\n  - [Speech Technology - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBaI_g3_V-CFrgFIf-0Yksiv)\n  \n- #### **Generative AI and LLMs**\n  - [Stanford CS236: Deep Generative Models I 2023 I Stefano Ermon](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8)\n  - [CS 6785 - Deep Generative Models - Cornell Tech, Spring 2023)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2UML_KCiC0UPzjW9BjO-IW6dqliu9O4B)\n  - [ECE 498 \u002F 598 - Deep Generative Models - UIUC, Fall 2025)](https:\u002F\u002Frrc-uiuc.notion.site\u002Fgen-models-fa25)\n  - [Mathematical Foundations of Generative AI - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBa5xCmncgH7kPqLqMBq7xlu)\n  - [Deep Generative Models - IISC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLL1s8qiaGy0LwIajdxKZr_FRL7KZeQK9r)\n  - [A Course on Generative AI - Diffusion Models - Israel Institute of Technology](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0H3pMD88m8XPBlWoWGyal45MtnwKLSkQ)\n  - [MIT 6.S184 Flow Matching and Diffusion Models, 2025](https:\u002F\u002Fdiffusion.csail.mit.edu)\n  - [Course on Diffusion Models for Generative AI - UT Austin](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8lIiiIWuabLxhJreBRZwNW-d02dJwbMb)\n  - [CS 492(C) Diffusion and Flow Models - Fall 2025 - KAIST](https:\u002F\u002Fdiffusion.kaist.ac.kr\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyi5FHzX7hBzC698EjqgxQJG7pNPQyYyc))\n  - [Stanford CS336 Language Modeling from Scratch I 2025 - Stanford](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_)\n  - [Stanford CME295 Transformers & LLMs - Autumn 2025 - Stanford](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rObv1FMizXqumgVVdzX4_05)\n  - [Introduction to large language models - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBbaMNZoyW2Hizl8DG6ikkjo)\n  - [Build a Large Language Model (From Scratch) by Sebastian Raschka](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTKMiZHVd_2IIEsoJrWACkIxLRdfMlw11)\n  - [Reinforcement Learning of Large Language Models - UCLA](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLir0BWtR5vRp5dqaouyMU-oTSzaU5LK9r)\n  - [WING NUS CS6101 Large Language Models (T2310)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzIZxnJJT7ORSBnYrXJMYBVnYeLryJtl7)\n  - [CS 839: Foundation Models Fall 2025 - UW Madison](https:\u002F\u002Fpages.cs.wisc.edu\u002F~fredsala\u002Fcs839\u002Ffall2025\u002Fschedule.html) ([YouTube playlists](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOq_oVZZBJosRA5_S823YxCcKcoyVRto-))\n  - [CS 886: Recent Advances on Foundation Models Winter 2024 - University of Waterloo](https:\u002F\u002Fcs.uwaterloo.ca\u002F~wenhuche\u002Fteaching\u002Fcs886\u002F)\n  - [UC Berkeley CS 194\u002F294-196 Agentic AI Fall 2025](https:\u002F\u002Frdi.berkeley.edu\u002Fagentic-ai\u002Ff25) ([YouTube, 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3RtgoqGkm4UeqNeZLccW-OGc1fJ)) ([Notes, 2024](https:\u002F\u002Frdi.berkeley.edu\u002Fllm-agents\u002Ff24)) ([YouTube, 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc))\n  - [UC Berkeley CS 194\u002F294-267 Understanding Large Language Models Foundations and Safety spring 2024, by Dawn Song & Dan Hendrycks](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJ66BAXN6D8H_gRQJGjmbnS5qCWoxJNfe)\n  - [UC Berkeley CS 194\u002F294-280 Advanced Large Language Model Agents Spring 2025](https:\u002F\u002Frdi.berkeley.edu\u002Fadv-llm-agents\u002Fsp25) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3RtgorL3AW8REU9nGkzhvtn6Egn))\n  - [Introduction to Large Language Models (LLMs), IIT Delhi](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqGkIjcOyrGnjyBHl4GE2S9kX47X96FH-)\n  - [CMU 10799 S26: Diffusion & Flow Matching](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9aTsZCk17O6ebBauPy7Mn8cQqXgt0Xtb)\n  - [6.S183: A Practical Introduction to Diffusion Models - MIT](https:\u002F\u002Fwww.practical-diffusion.org\u002Flectures\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@MIT-6.S183), [2025 lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_1TbuIu65A_G908tHHvTnyQsueR17rMh))\n  - [The Principles of Diffusion Models - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZShSUHKLhdHAdAw5oM9vM1Yf)\n  - [Building LLMs from scratch - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZSgsLAr8YCgCwhPIJNNtexWu)\n  - [Build DeepSeek from Scratch - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZSiOpKKlHCyOq9lnp-dLvlms)\n  - [Reasoning LLMs from Scratch - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZSijcbUrRZHm6BrdinLuelPs)\n  - [KAIST CS492(C): Diffusion and Flow Models (Fall 2025)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyi5FHzX7hBzC698EjqgxQJG7pNPQyYyc) ([2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyi5FHzX7hBxtkKUZLRdiq5C01QimCno2))\n  - [Mathematics of Generative Modelling (Spring 2024) - IIIT Hyderabad](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSPVGYqSR1PSGhb3HVQM_PIW9rur3qVwQ) ([2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSPVGYqSR1PTDHtx2mN2_D9SEj25NJrMU))\n  - [NYCU Deep Generative Models 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLl6jkZVaP8zrR-UikQB-AXJyqpvGxMLGT)\n  - [COMPSCI 690L | Deep Generative Models | 2024 | Sajjad Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_lIXwwDFn7gSTFiTi_rPzSzzAojAuuxA)\n  - [ECE1508: Deep Generative Models - Summer 2025 - UofT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcFgNUo9s_AgUro3pIv1BoGOzNIVh4mpP)\n  \n- #### **Computer Vision**\n  - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)\n  - [CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzWRmD0Vi2KVsrCqA4VnztE4t71KnTnP5)\n  - [Machine Learning for Robotics and Computer Vision, WS 2013\u002F2014 - TU München](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fws2013\u002Fml_ws13) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl))\n  - [COGSCI 1 - Intro to Cognitive Science Summer 2022 - UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaMjLYzDGxvz1oT5gpFiY6rJZnlJ-1Xu-)\n  - [Informatics 1 - Cognitive Science 2015\u002F16- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Finf1cs.htm)\n  - [Informatics 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf2a\u002Fschedule.html)\n  - [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F105\u002F108105103\u002F)\n  - [Extreme Classification ](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH)\n  - [EECS 498\u002F598 - Deep Learning for Computer Vision - University of Michigan - Fall 2019](https:\u002F\u002Fweb.eecs.umich.edu\u002F~justincj\u002Fteaching\u002Feecs498\u002FFA2019\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r))\n  - [Computer Vision - FAU Spring 2021](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2306) ([Spring 2018](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F734))\n  - [CAP5415 Computer Vision - UCF Fall 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_InWyCQtwqQ7y6KnwhxNCgRf)\n  - [CAP6412 Advanced Computer Vision - UCF Spring 2024](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcourses\u002Fcap6412-spring-2024\u002Fschedule\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_IlSr0ua4v8WQezazAMXEJE4))\n  - [CU Boulder CSCI 5722 Computer Vision - CU Boulder Spring 2025](https:\u002F\u002Fwww.byhand.ai\u002Fp\u002Fcomputer-vision-lectures) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0cq-CiC5QhutrhhsLLiybg2OehFOftI9))\n  - [Advanced Deep Learning for Computer vision (ADL4CV) (IN2364) - TU Munich](https:\u002F\u002Fdvl.in.tum.de\u002Fteaching\u002Fadl4cv-ss20\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLog3nOPCjKBnjhuHMIXu4ISE4Z4f2jm39))\n  - [Advanced Deep Learning for Physics (ADL4P) - TU Munich](https:\u002F\u002Ftum-pbs.github.io\u002FADL4P\u002F)\n  - [Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375) - TU Munich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLog3nOPCjKBkamdw8F6Hw_4YbRiDRb2rb)\n  \n- #### **Time Series Analysis**\n  - [02417 Time Series Analysis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtiTxpFJ4k6TZ0g496fVcQpt_-XJRNkbi)\n  - [Applied Time Series Analysis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX)\n  \n- #### **Optimization**\n  - [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M-pmLzCoMu_ANU6atEFyyJl)\n  - [Rochester DSCC 435 Optimization for Machine Learning fall 2023, by Jiaming Liang](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuJY91x7h5orCtyh6mChurVQ2ZZef9qPF)\n  - [Princeton ELE539\u002FCOS512 Optimization for Machine Learning spring 2021, by Chi Jin](https:\u002F\u002Fsites.google.com\u002Fview\u002Fcjin\u002Fteaching\u002Fece539cos512-2021-ver)\n  - [UT Dallas CS 7301 Advanced Topics in Optimization for Machine Learning spring 2021, by Rishabh Iyer](https:\u002F\u002Fgithub.com\u002Frishabhk108\u002FAdvancedOptML) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGod0_zT9w92_evaYrf3-rE67AmgPJoUU))\n  - [Convex Analysis, Summer 2021 - TU Braunschweig](https:\u002F\u002Fwww.tu-braunschweig.de\u002Findex.php?eID=dumpFile&t=f&f=128341&token=3c40ee32c6c029df85f7e552522f4a87470e3401) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPomPKAI5ZlJBThiwc3bya7qngzw9-0QD))\n  - [EE364a: Convex Optimization I - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h)\n  - [EE364b: Convex Optimization II - Stanford University](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FEE364B) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGrZHfnLv54ksX-0TMKYPCZDx9NZyYh9c))\n  - [10-725 Convex Optimization, Spring 2015 - CMU](http:\u002F\u002Fwww.stat.cmu.edu\u002F~ryantibs\u002Fconvexopt-S15\u002F)\n  - [10-725 Convex Optimization: Fall 2016 - CMU](http:\u002F\u002Fwww.stat.cmu.edu\u002F~ryantibs\u002Fconvexopt\u002F)\n  - [10-725 Optimization Fall 2012 - CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~ggordon\u002F10725-F12\u002Fschedule.html)\n  - [10-801 Advanced Optimization and Randomized Methods - CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~suvrit\u002Fteach\u002Faopt.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d))\n  - [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http:\u002F\u002Fam207.github.io\u002F2016\u002Findex.html)\n  - [MIT 6.S098 Applied Convex Optimization IAP 2022, by Alexandre Amice, Benoit Legat](https:\u002F\u002Falexandreamice.github.io\u002Fteaching\u002Fconvex_optimization\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5SG6ajT9NZKxdvM1jQOLXmeKO7MfyLxR))\n  - [UVic Math 428 \u002F 529 Discrete Optimization fall 2025, by Jonathan A. Noel](https:\u002F\u002Fextremalcombinatorics.com\u002Foptimization\u002Fnotes\u002Fsec_optimizationIntro.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtxJg53s2o0MAC2sfZDuhKYAHgj_NrGVv))\n  - [University of Twente Discrete Optimization, by Marc Uetz](https:\u002F\u002Fmarcuetz.personalweb.utwente.nl\u002Fdo\u002F) ([Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBUY9e1MCruRr5-I24LNm4g))\n  - [UC Davis MAT 168 Optimization winter 2024, by Matthias Köppe](https:\u002F\u002Fvideo.ucdavis.edu\u002Fchannel\u002FMAT+168+Optimization+%28Matthias+K%C3%B6ppe%3B+Winter+2024%29\u002F329241352)\n  - [Purdue University CHE 597 Computational Optimization spring 2025, by Can Li](https:\u002F\u002Fcanli1.github.io\u002Fcourses)\n  - [UCSD CS292F Convex Optimization Spring 2020, by Yu-Xiang Wang](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FCS292F-2020Spring\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTN4aNO9NiB5VxYILKPBXoy9g1tUqmnBx))\n  - [UIUC ECE 490 Introduction to Optimization fall 2020, by Venugopal V. Veeravalli](https:\u002F\u002Fcourses.grainger.illinois.edu\u002Fece490\u002Ffa2020\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKC5wSXtE6s2qdSYutRH1AUU))\n  - [University of Wisconsin-Madison CS\u002FECE\u002FISyE 524 Introduction to Optimization spring 2017-18, by Laurent Lessard](https:\u002F\u002Flaurentlessard.com\u002Fteaching\u002F524-intro-to-optimization\u002F)\n  - [University of Wisconsin-Madison ISyE\u002FMath\u002FCS\u002FStat 525 Linear Optimization fall 2021, by Alberto Del Pia](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeO_PhASIA0Ot69TqANAnNxoykHGOQp2Y)\n  - [University of Wisconsin-Madison ISyE\u002FMath\u002FCS 728 Integer Optimization (second part of the course) spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeO_PhASIA0NlDNF9y-SsgVEYcvAMj2CY)\n  - [Columbia IEOR E4007 Optimization Models and Methods 2005, by Garud Iyengar](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCNQ2xHRwrLOxkEWv9OfGiF)\n  - [UC Berkeley EECS 127 \u002F 227A Optimization Models in Engineering](https:\u002F\u002Feecs127.github.io\u002F) ([Spring 2024 lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAgyZlPB5QU5Size4whyrf3))\n \n- #### **Unsupervised Learning**\n  - [CS294 Deep Unsupervised Learning Spring 2024](https:\u002F\u002Fsites.google.com\u002Fview\u002Fberkeley-cs294-158-sp24\u002Fhome)\n  - [Deep Unsupervised Learning -- Berkeley Spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)\n  - [CS294-158 Deep Unsupervised Learning SP19](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCf4SX8kAZM_oGcZjMREsU9w\u002Fvideos)\n  - [UC San Diego COGS 118A Supervised Machine Learning fall 2020, by Jason Fleischer](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaaNbhBDEsoF_ad5N2mlOsvB-RwSTYUjQ)\n  - [UC San Diego COGS 118B Unsupervised Machine Learning winter 2024, by Jason Fleischer](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaaNbhBDEsoEU9RRbwCqJWFAZH2LjNwBN)\n  - [UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKB133Vh7zxsxFoblyfS4P5Y)\n  - [Johns Hopkins Unsupervised Learning spring 2017, by Rene Vidal](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaBAmmD3yH4Nta9Y6g9hOV4dcnpTzeW4q)\n  - [Unsupervised Learning (STAT 841), Winter 2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK)\n  \n- #### **Misc Machine Learning Topics**\n  - [Quantum Machine Learning | 2021 Qiskit Global Summer School](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)\n  - [CS 6955 - Clustering, Spring 2015, University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)\n  - [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http:\u002F\u002Fblogs.ischool.berkeley.edu\u002Fi290-abdt-s12\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE8C1256A28C1487F))\n  - [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)\n  - [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)\n  - [Statistical Learning Theory, Spring 2019 - ETH Zürich](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-infk\u002F2019\u002Fspring\u002F252-0526-00L.html)\n  - [Course on the Statistical Learning Theory, University of São Paulo, ICMC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKWX1jIoUZaVpVhMfevAE7iYNcDHPEJI_)\n  - [Reinforcement Learning - UCL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo)\n  - [Regularization Methods for Machine Learning 2016](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F493251615310f9b6ae1f483126292378137074cd) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO))\n  - [Statistical Inference in Big Data - University of Toronto](http:\u002F\u002Ffields2015bigdata2inference.weebly.com\u002Fmaterials.html)\n  - [Reinforcement Learning - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106143\u002F)\n  - [Statistical Rethinking Winter 2015 - Richard McElreath](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)\n  - [Foundations of Machine Learning - Blmmoberg Edu](https:\u002F\u002Fbloomberg.github.io\u002Ffoml\u002F#home)\n  - [Introduction to reinforcement learning - UCL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)\n  - [Statistical Foundation of Reinforcement Learning - UCSD, by Yu-Xiang Wang, Spring 2021](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FRLCourse-2021Spring\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTN4aNO9NiB5X8HkOBTkIfZ8VFSLH1W8W))\n  - [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)\n  - [Big Data Systems (WT 2019\u002F20) - Prof. Dr. Tilmann Rabl - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1286\u002F)\n  - [Distributed Data Analytics (WT 2017\u002F18) - Dr. Thorsten Papenbrock - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1179\u002F)\n  - [Introduction to Data-Centric AI - MIT](https:\u002F\u002Fdcai.csail.mit.edu\u002F)\n  - [Parallel Computing and Scientific Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)\n  - [Machine Learning System Design - System Design Fight Club](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlvnxKilk3aKx0oFua-HTtFf-d_inQ8Qn)\n  - [UT Austin ECE 381V Bandits and Online Learning fall 2021, by Sanjay Shakkottai](https:\u002F\u002Fdocs.google.com\u002Fdocument\u002Fd\u002F1r6jXNd1DD9o8v4q4XqxShRXWYdhtLMjEXWDzuv0T6LU\u002Fedit)\n  - [UCSD MATH 273B Information Geometry and its Applications winter 2022, by Melvin Leok](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHZhjPByiV3L94AeJ9FcK1yrnRDOt3Vit)\n  - [Cornell ECE 5545 Machine Learning Hardware and Systems Spring 2022, by Mohamed Abdelfattah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)\n  - [High Dimensional Analysis: Random Matrices and Machine Learning by Roland Speicher](https:\u002F\u002Frolandspeicher.com\u002Flectures\u002Fcourse-on-high-dimensional-analysis-random-matrices-and-machine-learning-summer-term-2023\u002F)([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLY11JnnnTUCabY4nc0hKptrd5qEWtLoo2))\n  - [ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcByDTr7vRTYJ2s6DL-3bzjGwtQif33y3)\n  - [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https:\u002F\u002Fpeople.ece.uw.edu\u002Fbilmes\u002Fclasses\u002Fee512\u002Fee512_fall_2014\u002F)\n  - [University of Wisconsin-Madison CS\u002FECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley](https:\u002F\u002Fmediaspace.wisc.edu\u002Fchannel\u002FCS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning\u002F191748913)\n  - [University of Maryland CMSC828U Algorithms in Machine Learning: Guarantees and Analyses fall 2020, by Furong Huang](https:\u002F\u002Fwww.cs.umd.edu\u002Fclass\u002Ffall2020\u002Fcmsc828u\u002F\u002Fschedule\u002F) ([YouTube playlist](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLM0SC1uXFSPo5TO_UN7fia1luj73yuHEC))\n  - [Statistical Physics of Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL04QVxpjcnjgzMr9ehyZUSkwu0Wr0cF_N)\n  - [11-755 - Machine Learning for Signal Processing, CMU](https:\u002F\u002Fcmu-mlsp.github.io\u002Fmlspcourse\u002Fschedule\u002F) ([YouTube-2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWhigAi1mTpO3Rw-1D2b2AowYeIU5eRzD), [YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWhigAi1mTpPMV3hECmkEv3s8Lc8H_VUd))\n  - [Machine Learning for 3D Data, Fall 2023, KAIST](https:\u002F\u002Fmhsung.github.io\u002Fkaist-cs479-fall-2023\u002F)\n  - [Machine Learning for Physicists, Spring 2019, FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F778) ([Spring 2017](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F574))\n  - [CSCE 585 - Machine Learning Systems, University of South Carolina](https:\u002F\u002Fpooyanjamshidi.github.io\u002Fmls\u002Flectures\u002F) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtkQf9LiEmLFS56WTpRJ3PZwwCYyi2Cdu))\n  - [CS-E4740 - Federated Learning, Spring 2023, Aalto University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrbn2dGrLJK8c6hCQXBVFoYsPXG-g_75c)\n  - [Uncertainty Modeling in AI | National University of Singapore](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxg0CGqViygOb9Eyc8IXM27doxjp2SK0H)\n\n\n------------------------------\n\n\n### Computer Networks\n\n- [CS 144 Introduction to Computer Networking - Stanford University, Fall 2013](http:\u002F\u002Fwww.scs.stanford.edu\u002F10au-cs144\u002F) ([Lecture videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6RdenZrxrw9inR-IJv-erlOKRHjymxMN))\n- [Computer Networking: A Top-Down Approach](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm556dMNleHc1MWN5BX9B2XkwkNE2Djiu)\n- [Computer Communication Networks, Rensselaer Polytechnic Institute - Fall 2001](https:\u002F\u002Fwww.ecse.rpi.edu\u002FHomepages\u002Fkoushik\u002Fshivkuma-teaching\u002Fvideo_index.html) ([Videos](https:\u002F\u002Fwww.ecse.rpi.edu\u002FHomepages\u002Fkoushik\u002Fshivkuma-teaching\u002Fvideo_index.html#ccn_video)) ([Slides](https:\u002F\u002Fwww.ecse.rpi.edu\u002FHomepages\u002Fkoushik\u002Fshivkuma-teaching\u002Fvideo_index.html#ccn_foils))\n- [Audio\u002FVideo Recordings and Podcasts of Professor Raj Jain's Lectures - Washington University in St. Louis](http:\u002F\u002Fwww.cse.wustl.edu\u002F~jain\u002Fvideos.htm) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FProfRajJain\u002Fplaylists))\n- [Computer Networks, Tanenbaum, Wetherall Computer Networks 5e - Video Lectures](http:\u002F\u002Fmedia.pearsoncmg.com\u002Fph\u002Fstreaming\u002Fesm\u002Ftanenbaum5e_videonotes\u002Ftanenbaum_videoNotes.html)\n- [CSEP 561 - PMP Network Systems, Fall 2013 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F13au\u002F) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F13au\u002Fvideo\u002F))\n- [CSEP 561 – Network Systems, Autumn 2008 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F08au\u002F) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F08au\u002Flectures\u002F))\n- [ECE\u002FCS 438 - Communication Networks, Fall 2020 - UIUC](https:\u002F\u002Fcourses.physics.illinois.edu\u002Fcs438\u002Ffa2020\u002F)\n- [Computer Networks - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105081\u002F)\n- [Introduction to Data Communications 2013, Steven Gordon - Thammasat University, Thailand](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF8u4iC7hFTMVC_WD6SEpnkx)\n- [Introduction to Complex Networks - RIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE9AAD550EA21F3DC)\n- [Computer Networks and Internet Protocol - IIT Kharagpur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbRMhDVUMngf-peFloB7kyiA40EptH1up)\n- [Structural Analysis and Visualization of Networks](http:\u002F\u002Fwww.leonidzhukov.net\u002Fhse\u002F2015\u002Fnetworks\u002F)\n- [Columbia ELEN E4703 Wireless Communications spring 2006, by Angel Lozano](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAaY0VGGjQ2whITq23AOjaR)\n- [Columbia COMS W4119 Computer Networks fall 2004, by Vishal Misra](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCh6XgTHofe6zPK_LQ_nVW3)\n- [Columbia ELEN E4710 An Introduction to Network Engineering fall 2004, by Dan Rubenstein](https:\u002F\u002Fwww.cs.columbia.edu\u002F~danr\u002Fcourses\u002F4710\u002FFall04\u002F) ([Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKClQelPKe2f05aReRMncyR7))\n- [Data Communication - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105082\u002F)\n- [Error Correcting Codes - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117108044\u002F)\n- [Information Theory and Coding - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117101053\u002F)\n- [Complex Network : Theory and Application - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105154\u002F)\n- [Advanced 3G and 4G Wireless Mobile Communications - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117104099\u002F)\n- [Broadband Networks: Concepts and Technology - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117101050\u002F)\n- [Coding Theory - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106031\u002F)\n- [Digital Communication - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117101051\u002F)\n- [Digital Voice & Picture Communication - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105081\u002F)\n- [Wireless Ad Hoc and Sensor Networks - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105160\u002F)\n- [Internetworking with TCP\u002FIP by Prof. Dr. Christoph Meinel - HPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAfY5VrkObHTckZHwPsS1VCA)\n- [CS798: Mathematical Foundations of Computer Networking - University of Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFB088DB91845CA34)\n- [CS 168 Introduction to the Internet: Architecture and Protocols, Fall 2022 - UC Berkeley](https:\u002F\u002Ffa22.cs168.io\u002F) ([YouTube - Fall 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKD4RbcpiXKeyXrIImw-mGd-)) ([Spring 2025](https:\u002F\u002Fsp25.cs168.io\u002F))\n- [Advanced Topics in Communication Networks, Fall 2022 - ETH Zürich](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-itet\u002F2022\u002Fautumn\u002F227-0575-00L.html)\n- [CS\u002FECE 438 Communication Networks [F23] - UIUC](https:\u002F\u002Frrc-uiuc.notion.site\u002FCommunication-Networks-F23-d37ef65a3d1b4b7ba3d49d929c03d546)\n\n------------------------------\n\n### Math for Computer Scientist\n\n- [Maths courses all topics covered - Khan Academy](https:\u002F\u002Fwww.khanacademy.org\u002Fmath\u002F)\n- **Calculus**\n  - [18.01 Single Variable Calculus, Fall 2006 - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-01-single-variable-calculus-fall-2006\u002F)\n  - [18.02 Multivariable Calculus, Fall 2007 - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-02-multivariable-calculus-fall-2007\u002F)\n  - [18.03 Differential Equations, Spring 2010 - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-03-differential-equations-spring-2010\u002F)\n  - [Highlights of Calculus - Gilbert Strang, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fresources\u002Fres-18-005-highlights-of-calculus-spring-2010\u002F)\n  - [MAT123 Introduction to Calculus (Fall 2015) - Stony Brook](https:\u002F\u002Fwww.math.stonybrook.edu\u002F~scott\u002Fmat123.fall15\u002F)\n  - [Vector Calculus for Engineers - HKUST](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkZjai-2JcxnYmkg6fpzz4WFumGVl7MOa)\n- **Discrete Math**\n  - [6.042J - Mathematics for Computer Science, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-042j-mathematics-for-computer-science-fall-2010\u002Fvideo_galleries\u002Fvideo-lectures\u002F) \n  - [18.200 - Principles of Discrete Applied Mathematics, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-200-principles-of-discrete-applied-mathematics-spring-2024\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [UC Berkeley Computer Science 70, Discrete Mathematics and Probability Theory - Fall 2025](https:\u002F\u002Fwww.eecs70.org\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDV7TrbTokEDN0haWwiV_xp))\n  - [CSE 547 Discrete Mathematics, Prof Skiena, University of Stony Brook](http:\u002F\u002Fwww3.cs.stonybrook.edu\u002F~algorith\u002Fmath-video\u002F)\n  - [Discrete Structures (Summer 2011) - Rutgers, The State University of New Jersey](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdiscrete-structures-summer\u002Fid698728837)\n  - [Discrete Mathematics and Mathematical Reasoning 2015\u002F16 - University of Edinburgh](https:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Fdmmr\u002F)\n  - [Discrete Mathematical Structures - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106094\u002F)\n  - [Discrete Structures - Pepperdine University](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdiscrete-structures\u002Fid546468789)\n  - [CMU 21 228 Discrete Mathematics spring 2021, by Po-Shen Loh](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgTkKBA6LRqYuuQ-LboerRblBoD_q_eUM)\n  - [COMP2804: Discrete Structures II](https:\u002F\u002Fcglab.ca\u002F~morin\u002Fteaching\u002F2804\u002F)\n- **Probability & Statistics**\n  - [Statistics - CrashCourse](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr)\n  - [6.041 Probabilistic Systems Analysis and Applied Probability - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013\u002F)\n  - [Stanford CS109 Introduction to Probability for Computer Scientists I 2022 I Chris Piech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg)\n  - [MIT RES.6-012 Introduction to Probability, Spring 2018 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6)\n  - [Statistics 110 - Probability - Harvard University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)\n  - [STAT 2.1x: Descriptive Statistics | UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_Ig1a5kxu56TfFnGlRlH2YpOBWGiYsQD)\n  - [STAT 2.2x: Probability | UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_Ig1a5kxu57qPZnHm-ie-D7vs9g7U-Cl)\n  - [MOOC - Statistics: Making Sense of Data, Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002Fa0cbaf3e03e0893085b6fbdc97cb6220896dddf2)\n  - [MOOC - Statistics One - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLycnP7USbo1V3jlyjAzWUB201cLxPq4NP)\n  - [Probability and Random Processes - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105085\u002F)\n  - [MOOC - Statistical Inference - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgIPpm6tJZoSvrYM54BUqJJ4CWrYeGO40)\n  - [131B - Introduction to Probability and Statistics, UCI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqOZ6FD_RQ7k-j-86QUC2_0nEu0QOP-Wy)\n  - [STATS 250 - Introduction to Statistics and Data Analysis, UMichigan](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL432AB57AF9F43D4F)\n  - [Sets, Counting and Probability - Harvard](http:\u002F\u002Fmatterhorn.dce.harvard.edu\u002Fengage\u002Fui\u002Findex.html#\u002F1999\u002F01\u002F82347)\n  - [Opinionated Lessons in Statistics](http:\u002F\u002Fwww.opinionatedlessons.org\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUAHeOPjkJseXJKbuk9-hlOfZU9Wd6pS0))\n  - [Statistics - Brandon Foltz](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FBCFoltz\u002Fplaylists)\n  - [Statistical Rethinking: A Bayesian Course Using R and Stan](https:\u002F\u002Fgithub.com\u002Frmcelreath\u002Fstatrethinking_winter2019) ([Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus)) ([Book](http:\u002F\u002Fwww.stat.columbia.edu\u002F~gelman\u002Fbook\u002F))\n  - [02402 Introduction to Statistics E12 - Technical University of Denmark](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMn2aW3wpAtPC8tZHQy6nwWsFG7P6sPqw) ([F17](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgowegO9Se58_BnUNnaARajEE_bX-GJEz))\n  - [Engineering Probability (ECSE-2500) - RPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BU1dN2G6ncyiMbML7OXh_Jx)\n  - [Purdue ECE302 Introduction to Probability for Data Science](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4FSfq6xtSvyqsbgrYDeyV0WWXlXqwy2M)\n  - [Undergraduate Probability with Professor Roman Vershynin](https:\u002F\u002Fwww.math.uci.edu\u002F~rvershyn\u002Fteaching\u002Fugp\u002Fugp.html)\n  - [High-Dimensional Probability](https:\u002F\u002Fwww.math.uci.edu\u002F~rvershyn\u002Fteaching\u002Fhdp\u002Fhdp.html)\n  - [Mathematical Statistics - 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrPZH-fknPLak0tlUpUISBZR) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrOk5-wIki_oOxHJnNj0_437))\n  - [Bayesian Data Analysis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLBqnAso5Dy7O0IVoVn2b-WtetXQk5CDk6)\n  - [Bayesian Machine Learning and Information Processing](https:\u002F\u002Fbiaslab.github.io\u002Fteaching\u002Fbmlip\u002F) ([YouTube-2021\u002F22](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkDDgjnfkmCELsBXiCKCVIHKHSjl-rpkJ)) ([YouTube-2020\u002F21](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkDDgjnfkmCH4zq9_ul-KaTsk-1j1EVEo))\n  - [Markov Processes - Spring 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrP3rME2XvFvE4Q5vI3H_7_Z)\n  - [Measure Theoretic Probability](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrO6VtBSiQLsNlo9QBm30nxC)\n  - [Causal Inference Course - Brady Neal](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoazKTcS0RzZ1SUgeOgc6SWt51gfT80N0)\n  - [Causal Inference -- Online Lectures (M.Sc\u002FPhD Level)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyvUJLHD8IsJCB7ALqwjRG1BjL5JxE__H)\n  - [Machine Learning & Causal Inference: A Short Course](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-)\n  - [Causal Inference Jonas Peters](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzERW_Obpmv-_EXTV1zTmlv-Ab5Tfbp8X)\n  - [UIUC ECE 534 Random Processes fall 2020 - Ilan Shomorony](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-1IrJp1jTK_w1lh0qOwLx3)\n  - [ISyE 320 Simulation and Probabilistic Modeling spring 2022, by Qiaomin Xie - University of Wisconsin-Madison](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-7c512A5mwIn_J90z8Awgd)\n  - [Cambridge Principles of Statistics 2020, by Alberto J. Coca](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLn1JSlh3WT_YBwXFUfRAb1ZOXnPYDgVNa)\n  - [UC Berkeley STAT 150 Stochastic Processes spring 2021, by Brett Kolesnik](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_H6exlt8NMfBSc0137_wlo)\n  - [UIUC Math 564 Applied Stochastic Processes fall 2016, by Kay Kirkpatrick](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-5C_U0ml6O2kM1s1Yo-D9D)\n  - [CS\u002FECE 561 - Probability and Info Theory in Machine Learning](https:\u002F\u002Fmediaspace.wisc.edu\u002Fchannel\u002FCS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning\u002F191748913)\n  - [UCLA Stats 10 Introduction to Statistical Reasoning summer 2022, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCk7fc69zL_cOogOPQBzXhn)\n  - [UCLA Stats 101C Statistical Models and Data Mining summer 2022, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAYdlamMMGkNGJuKFVYvYER)\n  - [UCLA Stats 102A Introduction to Computational Statistics with R winter 2024, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCiE3kiMI7ofuQ3wmXQUcmx)\n  - [UCLA Stats 102B Computation and Optimization for Statistics spring 2024, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKD4XftRgjRlTITljOx792YN)\n  - [UCLA Stats 102C Introduction to Monte Carlo Methods fall 2023, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDv0fZ7RxMGPuaa1Yqx_bzh)\n  - [UCLA Stats 200B Theoretical Statistics winter 2024, by Arash Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SwfzKyD47bMBmwJnKeezZCW) ([Winter 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0Sw03Ffmuq8prIVSoTI3yVyR))\n  - [UCLA Stats 200C High-dimensional Statistics spring 2022, by Arash Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SzyrvojbW4UZQjVG1CnBFMd) ([Spring 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0Sy-nbvOCLgt6uIQsOnmG-iV))\n  - [UCLA Stats 203 Large Sample Theory fall 2021, by Jingyi Jessica Li](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1P5GG-9U8eJPL_MIsl1_8Zh) ([Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1NKukTVwMADi1D5dbufWJkz))\n  - [UCSD Math 280 Probability Theory and Stochastic Processes, by Todd Kemp](https:\u002F\u002Fmathweb.ucsd.edu\u002F~tkemp\u002FProbabilityTube\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@toddkemp-probability\u002Fplaylists))\n  - [METU EE 531 Probability and Stochastic Processes, by Elif Uysal](https:\u002F\u002Focw.metu.edu.tr\u002Fcourse\u002Fview.php?id=323)\n  - [6.262 Discrete Stochastic Processes - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-262-discrete-stochastic-processes-spring-2011\u002F)\n  - [18.650 Statistics for Applications - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-650-statistics-for-applications-fall-2016\u002Flecture-videos\u002F)\n  - [STAT240 - Robust Statistics - UC Berkeley](https:\u002F\u002Fwww.stat.berkeley.edu\u002F~jsteinhardt\u002Fstat240\u002Findex.html)\n- **Linear Algebra**\n  - [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https:\u002F\u002Fwillett.psd.uchicago.edu\u002Fteaching\u002Fmathematical-foundations-of-machine-learning-fall-2021\u002F)\n  - [18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-06sc-linear-algebra-fall-2011\u002F)\n  - [18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n  - [University of Wisconsin-Madison ECE\u002FCS\u002FME 532 Matrix Methods in Machine Learning fall 2017, by Laurent Lessard](https:\u002F\u002Flaurentlessard.com\u002Fteaching\u002F532-matrix-methods\u002F)\n  - [Linear Algebra (Princeton University)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGqzsq0erqU7w7ZrTZ-pWWk4-AOkiGEGp)\n  - [MOOC: Coding the Matrix: Linear Algebra through Computer Science Applications - Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F54cd86f3038dfd446b037891406ba4e0b1200d5a)\n  - [CS 053 - Coding the Matrix - Brown University](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs053\u002Fcurrent\u002Flectures.htm) ([Fall 14 videos](https:\u002F\u002Fcs.brown.edu\u002Fvideo\u002Fchannels\u002Fcoding-matrix-fall-2014\u002F))\n  - [Linear Algebra Review - CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~zkolter\u002Fcourse\u002Flinalg\u002Foutline.html)\n  - [A first course in Linear Algebra - N J Wildberger - UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL44B6B54CBF6A72DF)\n  - [INTRODUCTION TO MATRIX ALGEBRA](http:\u002F\u002Fma.mathforcollege.com\u002Fyoutube\u002Findex.html)\n  - [Computational Linear Algebra - fast.ai](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY) ([Github](https:\u002F\u002Fgithub.com\u002Ffastai\u002Fnumerical-linear-algebra))\n  - [ENGR108: Introduction to Applied Linear Algebra—Vectors, Matrices, and Least Squares - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9)\n  - [MIT 18.S096 Matrix Calculus For Machine Learning And Beyond](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE)\n  - [Cornell MATH 2940 Linear Algebra for Engineers spring 2009, by Andy Ruina](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FMATH%2B2940%2B-%2BLinear%2BAlgebra%2Bfor%2BEngineers%2BSpring%2B2009\u002F114208531)\n- [10-600 Math Background for ML - CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)\n- [MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018\u002Fvideo-lectures\u002F)\n- [Direct Methods for Sparse Linear Systems - Prof Tim Davis - UFL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5EvFKC69QIyRLFuxWRnH6hIw6e1-bBXB)\n- [36-705 - Intermediate Statistics - Larry Wasserman, CMU](http:\u002F\u002Fwww.stat.cmu.edu\u002F~larry\u002F=stat705\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcW8xNfZoh7eI7KSWneVWq-7wr8ffRtHF))\n- [Combinatorics - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108051\u002F)\n- [Advanced Engineering Mathematics - Notre Dame](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85Ae4pzlylMLzq_a-RHPx8ryA)\n- [Statistical Computing for Scientists and Engineers - Notre Dame](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85AeltIRcjDY7Z4q49NEAuMcA)\n- [Statistical Computing, Fall 2017 - Notre Dame](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85AcSgNGnT5TUHt85SrCljT3V)\n- [Statistics 243 Introduction to Statistical Computing, Fall 2015 - UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCJjCMep25BtbRwehuNTd-l) ([Notes-2015](https:\u002F\u002Fgithub.com\u002Fberkeley-stat243\u002Fstat243-fall-2015)) ([YouTube-2014](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDwAtmOYy_dY_tPuE_8Gc68)) ([Notes-2014](https:\u002F\u002Fgithub.com\u002Fberkeley-stat243\u002Fstat243-fall-2014)) ([YouTube-2013](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBj_b9jy_ZkQM3v4r9iLocO))\n- [Mathematics for Machine Learning, Lectures by Ulrike von Luxburg - Tübingen Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)\n- [Essential Mathematics for Machine Learning- July 2018 - IIT Roorkee - YouTube Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLy_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE)\n- [Numerics of Machine Learning (Winter 2022\u002F23) - Tübingen Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij2lwDdj7IkuHoP9vHlEcH0s)\n- [Nonlinear Dynamics and Chaos - Steven Strogatz, Cornell University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbN57C5Zdl6j_qJA-pARJnKsmROzPnO9V)\n- [Nonlinear Dynamics & Chaos - Virginia Tech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUeHTafWecAUqSh3Gy0NNr7H3OsXoC-aK)\n- [An introduction to Optimization on smooth manifolds (with book) - EPFL](https:\u002F\u002Fwww.nicolasboumal.net\u002Fbook\u002F)\n- [Math Modelling](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXsDp0z6VWFT5ZM86xh8i1AMFYxnrefLk)\n- [Large-Scale Convex Optimization: Algorithms & Analyses via Monotone Operators by Ernest Ryu and Wotao Yin](https:\u002F\u002Fwww.youtube.com\u002F@large-scaleconvexoptimizat2973\u002Fvideos)\n- [An Overview of Variational Analysis  2021 by Tyrrell Rockafellar](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIismQEEd55Fnzllb-HEYK6k8dMmz2ctj)\n- [UW AMATH 584 Applied Linear Algebra & Numerical Analysis by Nathan Kutz](https:\u002F\u002Ffaculty.washington.edu\u002Fkutz\u002Fam584\u002Fam584.html)\n- [UW AMATH 584 Applied Linear Algebra & Introductory Numerical Analysis fall 2005, by Loyce Adams](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-NKDk9uLzRaTOnHPpr4knp)\n- [Stanford CME 206 Introduction to Numerical Methods for Engineering spring 2005, by Charbel Farhat](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem97Nk-jJCqUiYZmwpCxMuYF)\n- [Stanford CME 200 Linear Algebra with Application to Engineering Computations autumn 2004, by Margot Gerritsen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-ZiiCDz7C6bVRjxJ5P35zk)\n- [Stanford CME 302 Numerical Linear Algebra autumn 2007, by Gene Golub](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-OlrG8LXfWQJ2kV_4mpAau)\n- [TUe Numerical Linear Algebra 2021, by Martijn Anthonissen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRb3xghOQGNKbUt8zIRpwrQ-SZ6aIZNvt)\n- [Numerical Linear Algebra fall 2018, by Jaegul Choo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLep-kTP3NkcMdmrw07VsKFt87FT584Cpd)\n- [MIT 6.S955 Applied Numerical Algorithms fall 2023, by Justin Solomon](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ3UicqQtfNv_Io_NT1b0Nzr9YDqpK3Lb)\n- [MIT 6.7350 Numerical Algorithms for Computing and Machine Learning fall 2025, by Justin Solomon](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ3UicqQtfNsivZX5TmUAoUkkBqFT8aOL)\n- [UC Berkeley Math 54 Linear Algebra & Differential Equations spring 2022, by Alexander Paulin](https:\u002F\u002Fmath.berkeley.edu\u002F~apaulin\u002F54%20(Spring%202022).html) ([Summer 2021, by Peter Koroteev](https:\u002F\u002Fmath.berkeley.edu\u002F~pkoroteev\u002Fmath54.html)) ([Summer 2020, by Luvreet Sangha](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLShth7hrtLHO2U1XkrI6ZgMyuPHDxRcob)) ([Spring 2018, by Alexander Paulin](https:\u002F\u002Fmath.berkeley.edu\u002F~apaulin\u002F54_001(Spring2018).html))\n- [UC Berkeley Math 55 Discrete Mathematics fall 2021, by Nikhil Srivastava](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaVBOvvdB5ctaLM6AmkUaODhd4JhyP_zC)\n- [UC Berkeley Math 56 Linear Algebra fall 2023, by Alexander Paulin](https:\u002F\u002Fmath.berkeley.edu\u002F~apaulin\u002F56%20(Fall%202023).html)\n- [Fundamental Mathematics for Robotics spring 2020, by Ken Tomiyama](https:\u002F\u002Fwww.youtube.com\u002F@citqualityeducation803\u002Fvideos)\n- [Short Course on Casual Inference, by Sanjay Shakkottai](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcip-Gs_jEK_l2pNG8V_0UDK9jyPtLyuq)\n- [UCLA STAT 100C Linear Models spring 2023, by Arash Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SzrzpEoojAa4anJdaKa49GM)\n- [MSU Math for Computing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ-krWGO-UEyLqtyA2pACX_tXXBTLWkI1)\n- [Mathematics of Data Science - ETH Zurich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLiud-28tsatIKUitdoH3EEUZL-9i516IL)\n- [Mathematical Data Science 1 - Spring 2021 - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2297) ([Spring 2020](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1234))\n- [Engineering Mathematics (UW ME564 and ME565) - Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNR2W2sPWsYxfrxcASrUt_9j)\n- [Beginning Scientific Computing - Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNRTVrHYDfjNyqzZ6Q6rsTyf)\n- [Jadavpur University: Foundation_Math_forML_Autumn23](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcNLn_ApooUyoctc147F-49oHnfvuj3Yt)\n- [FAU: Inverse Problems Autumn21](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2705)\n- [EdX 1st Course on SparseLand by Michael Elad - Theory](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0H3pMD88m8W39EbuArGLa9yXk8q6QGip)\n- [EdX 2nd Course on SparseLand by Michael Elad - Practice](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0H3pMD88m8X2DeBI-iidbbPCe9kEKxzJ)\n\n\n\n------------------------------\n\n### Web Programming and Internet Technologies\n- [CS50's Web Programming with Python and JavaScript](https:\u002F\u002Fwww.edx.org\u002Fcourse\u002Fcs50s-web-programming-with-python-and-javascript)\n- [Web Design Decal - HTML\u002FCSS\u002FJavaScript Course, University of California, Berkeley](http:\u002F\u002Fwdd.io\u002F)\n- [CS 75 Building Dynamic Websites - Harvard University](http:\u002F\u002Fcs75.tv\u002F2012\u002Fsummer\u002F)\n- [Internet Technology - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105084\u002F)\n- [Introduction to Modern Application Development - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106156\u002F)\n- [CSE 199 - How the Internet Works, Fall 2016 - University of Buffalo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLk97mPCd8nvbxGGfkYkBXrSEvpTc1xTF8)\n- [Open Sourced Elective: Database and Rails - Intro to Ruby on Rails, University of Texas](https:\u002F\u002Fwww.schneems.com\u002Fut-rails) ([Lectures - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7A85FD7803A8CB1F))\n- [CSE154 - Web Programming, Spring 2020 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse154\u002F20sp\u002F) ([Videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrE1feouzSWqcgK0Lvt3r_8AwN6UndaOD))\n- [CSEP545 - Transaction Processing for E-Commerce, Winter 2012 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep545\u002F12wi\u002F) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep545\u002F12wi\u002Fvideo\u002F))\n- [CT 310 Web Development - Colorado State University](https:\u002F\u002Fwww.cs.colostate.edu\u002F~ct310\u002Fyr2016sp\u002Fhome_progress.php)\n- [Internet Technologies and Applications 2012, Steven Gordon - Thammasat University, Thailand](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF9cfLMTE-42fiBsWvBsOEkS)\n- [CSCI 3110 Advanced Topics in Web Development, Fall 2011 - ETSU iTunes](https:\u002F\u002Fitunes.apple.com\u002FWebObjects\u002FMZStore.woa\u002Fwa\u002FviewPodcast?id=454017618)\n- [CSCI 5710 e-Commerce Implementation, Fall 2015 - ETSU iTunes](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fe-commerce-implementation\u002Fid1020427670)\n- [MOOC - Web Development - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPlLXUhUNt1wINWrrH9axjcI)\n- [Web Technologies Prof. Dr. Christoph Meinel - HPI](https:\u002F\u002Fopen.hpi.de\u002Fcourses\u002Fwebtech2015\u002Fitems\u002F4oqxq6euKfhXgHOMwFBxbn)\n\n------------------------------\n\n### Theoretical CS and Programming Languages\n\n- [MIT 18.404J Theory of Computation - Fall 2020 - Lecture Slides](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-404j-theory-of-computation-fall-2020\u002Fpages\u002Flecture-notes)\n- [MIT 18.404J Theory of Computation - Fall 2020 - Video Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY)\n- [MOOC - Compilers - Stanford University](https:\u002F\u002Farchive.org\u002Fdetails\u002Facademictorrents_e31e54905c7b2669c81fe164de2859be4697013a)\n- [CS 6120: Advanced Compilers: The Self-Guided Online Course - Cornell University](https:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs6120\u002F2020fa\u002Fself-guided\u002F)\n- [CS 164 Hack your language, UC Berkeley](https:\u002F\u002Fsites.google.com\u002Fa\u002Fbodik.org\u002Fcs164\u002Fhome) ([Lectures - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS))\n- [Theory of computation - Shai Simonson](http:\u002F\u002Fwww.aduni.org\u002Fcourses\u002Ftheory\u002Findex.php?view=cw)\n- [CS 173 Programming Languages, Brown University](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs173\u002F2012\u002FVideos\u002F) ([Book](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs173\u002F2012\u002Fbook\u002F))\n- [CS Theory Toolkit at CMU 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3ZYpFLwwrlv_EHH9wtH6pnX)\n- [CS 421 - Programming Languages and Compilers, UIUC](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs421\u002Ffa2014\u002F)\n- [CSC 253 - CPython internals: A ten-hour codewalk through the Python interpreter source code, University of Rochester](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzV58Zm8FuBL6OAv1Yu6AwXZrnsFbbR0S)\n- [CSE341 - Programming Languages, Dan Grossman, Spring 2013 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse341\u002F13sp\u002F)\n- [CSEP 501 - Compiler Construction, University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep501\u002F09au\u002Flectures\u002Fvideo.html) ([Lectures - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTPQEx-31JXhfAWGnGzwbfhB2zUB7Jd4C))\n- [CSEP 505 Programming Languages, Winter 2015 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep505\u002F15wi\u002Fvideo\u002F)\n- [DMFP - Discrete Mathematics and Functional Programming, Wheaton College](http:\u002F\u002Fcs.wheaton.edu\u002F~tvandrun\u002Fdmfp\u002F)\n- [CS 374 - Algorithms & Models of Computation (Fall 2014), UIUC](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs498374\u002Ffa2014\u002Flectures.html) ([Lecture videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0v718LJg-7_4Zwx3CE7kZ398mhlB2TqF473))\n- [6.045 Automata, Computability, and Complexity, MIT](https:\u002F\u002Fstellar.mit.edu\u002FS\u002Fcourse\u002F6\u002Fsp15\u002F6.045\u002Fmaterials.html) ([Lecture Videos](http:\u002F\u002Fstellar.mit.edu\u002FS\u002Fcourse\u002F6\u002Fsp15\u002F6.045\u002Fspecial\u002Fvideos\u002Findex.html))\n- [MOOC - Automata - Jeffrey Ullman - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL82C4B8475CAC3F95)\n- [CS581 Theory of Computation - Portland State University](http:\u002F\u002Fweb.cecs.pdx.edu\u002F~harry\u002Fvideos\u002F) ([Lectures - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbtzT1TYeoMjNOGEiaRmm_vMIwUAidnQz))\n- [Theory of Computation - Fall 2011 UC Davis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLslgisHe5tBM8UTCt1f66oMkpmjCblzkt)\n- [TDA555 Introduction to Functional Programming - Chalmers University of Technology](http:\u002F\u002Fwww.cse.chalmers.se\u002Fedu\u002Fcourse\u002FTDA555\u002Findex.html) ([Lectures - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIQ9jYeUxhgqEnjey91yRTITaXqZQy3Ta))\n- [Ryan O'Donnell Theoretical Computer Science Talks](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3bLpmu56cDd1PUTp-aJVaTo)\n- [Philip Wadler Haskell lecture recordings](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtRG9GLtNcHBv4cuh2w1cz5VsgY6adoc3)\n- [Functional Programming (2021) - University of Nottingham](http:\u002F\u002Fwww.cs.nott.ac.uk\u002F~pszgmh\u002Fpgp.html)\n- [Functional Programming - University of Edinburgh - 2016-17](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf1\u002Ffp\u002F)\n- [MOOC - Functional Programming Principles in Scala by Martin Odersky](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002Fafigfigueira\u002Fplaylists?sort=dd&view=50&shelf_id=9)\n- [CS294 - Program Synthesis for Everyone](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~bodik\u002Fcs294fa12)\n- [MOOC - Principles of Reactive Programming, Scala - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMhMDErmC1TdBMxd3KnRfYiBV2ELvLyxN)\n- [Category Theory for Programmers, 2014 - Bartosz Milewski](https:\u002F\u002Fbartoszmilewski.com\u002F2014\u002F10\u002F28\u002Fcategory-theory-for-programmers-the-preface\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbgaMIhjbmEnaH_LTkxLI7FMa2HsnawM_))\n- Oregon Programming Languages Summer School (Proof theory, type theory, category theory, verification)\n  - [2012 Lectures](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer12\u002Fcurriculum.html)\n  - [2013 Lectures](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer13\u002Fcurriculum.html)\n  - [2014 Lectures](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer14\u002Fcurriculum.html)\n  - [2015 Lectures](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer15\u002Fcurriculum.html)\n  - [2016 Lectures](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer16\u002Fcurriculum.php)\n  - [ Latest YT playlists](https:\u002F\u002Fwww.youtube.com\u002F@OPLSS\u002Fplaylists)\n- [Inf1 - Computation and Logic 2015 - University of Edinburgh](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf1\u002Fcl\u002F)\n- [INFORMATICS 1 - FUNCTIONAL PROGRAMMING - University of Edinburgh](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf1\u002Ffp\u002F) ([Videos](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Finf1fp.htm))\n- [Compiler Design - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108052\u002F)\n- [Compiler Design - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104123\u002F)\n- [Principles of Programming Languages - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102067\u002F)\n- [Principles of Compiler Design - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108113\u002F)\n- [Functional Programming in Haskell - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106137\u002F)\n- [Theory of Computation - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104148\u002F)\n- [Theory of Automata, Formal Languages and Computation - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106049\u002F)\n- [Theory of Computation - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104028\u002F)\n- [Logic for CS - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102013\u002F)\n- [Principles of Compiler Design - Swarthmore College](https:\u002F\u002Fwww.cs.swarthmore.edu\u002F~jpolitz\u002Fcs75\u002Fs16\u002Findex.html)\n- [Undergrad Complexity Theory at CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YL5vLXpzOyJiLtqLp6dCW2)\n- [Graduate Complexity Theory at CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3b8Gg1DdaJOzYNsaXYLAOKH)\n- [Great Ideas in Theoretical Computer Science at CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3aafQm568blS9blxtA_EWQv) \n  - [Another link](https:\u002F\u002Fwww.cs251.com\u002F)\n- [Analysis of Boolean Functions at CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YypJNaF6sRAf2zC1QzMuTA)\n- [Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015](http:\u002F\u002Fais.informatik.uni-freiburg.de\u002Fteaching\u002Fss15\u002Fbridging\u002F)\n- [Languages & Translators - UCLouvain LINFO2132](https:\u002F\u002Fnorswap.com\u002Fcompilers\u002F)\n- [Compiler Design by Sorav Bansal](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLf3ZkSCyj1tf3rPAkOKY5hUzDrDoekAc7)\n- [OCaml Programming: Correct + Efficient + Beautiful](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLre5AT9JnKShBOPeuiD9b-I4XROIJhkIU)\n- [Columbia IEOR E4004 Introduction to Operations Research: Deterministic Models summer 2005, by Jay Sethuraman](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCVGq8cQ9MCBEm5wVXGsDpw)\n- [Columbia IEOR E4106 Introduction to Operations Research: Stochastic Models spring 2005, by Ward Whitt](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDJMIOWQcnSSzKDFOG_dF4r)\n- [Columbia ELEN E6711 Stochastic Models in Information Systems fall 2005, by Yuliy Barsyhnikov](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9dvI-8vjxlPkM5onW9WoIp)\n- [Columbia ELEN E6717 Information Theory fall 2003, by Vittorio Castelli](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_IUZIFzlJi8vCTtS-Xi8eY)\n- [University of Washington EE514A\u002FEE515A - Information Theory I\u002FII fall 2013, by Jeff Bilmes](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFze15KrfxbGsPDYxeLyeYorlHSBsTPv0)\n- [CMU 15 150 Principles of Functional Programming summer 2023, by Brandon Wu](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLsydD1kw8jng2t2G8USQNLz0faYZetPnH)\n- [CMU 21 738 Extremal Combinatorics spring 2020, by Po-Shen Loh](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgTkKBA6LRqaGKITvQS1QuIBoEbOVwFTm)\n- [JHU Domain-Specific Languages (DSL) Class (Summer 2018)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLW-6wqFEcgTqHMXV_8jI43QLkCv8VgqLk)\n- [Spring 2019 - Probabilistically Checkable and Interactive Proof Systems (Alessandro Chiesa)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIyWWtxCPBHwGsrutjvwM5_U)\n- [Algebraic Coding Theory - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkvhuSoxwjI_UudECvFYArvG0cLbFlzSr)\n- [CS60094 Computational Number Theory](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLG63srgJBCAiOJ0hGikoiTq0CsUg_OGKu)\n\n------------------------------\n\n### Embedded Systems\n\n- [EE319K Embedded Systems - UT Austin](http:\u002F\u002Fusers.ece.utexas.edu\u002F~valvano\u002FVolume1\u002FE-Book\u002FVideoLinks.htm)\n- [EE445L Embedded Systems Design Lab, Fall 2015, UTexas](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyg2vmIzGxXGBxFu8nvX3KBadSdsNAvbA)\n- [CS149 Introduction to Embedded Systems - Spring 2011 - UCBerkeley](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLu0nzW8Es1x0RIvuWdw1Diez2Clk8xAX5)\n- [CSE\u002FECE 474 Introduction to Embedded Systems - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse474\u002F23sp\u002F) ([Lectures - YouTube-Spring 21](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyB1_dMg8sy8W2EMtSUymI3KpAhXBQOlT))\n- [ECE 4760 Designing with Microcontrollers Fall 2016, Cornell University](http:\u002F\u002Fpeople.ece.cornell.edu\u002Fland\u002Fcourses\u002Fece4760\u002F) ([Lectures - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKcjQ_UFkrd4I5WOIxHEYZ7iY04lj15Ez))\n- [ECE 5760 - Advanced Microcontroller Design and system-on-chip, Spring 2016 - Cornell University](http:\u002F\u002Fpeople.ece.cornell.edu\u002Fland\u002Fcourses\u002Fece5760\u002F)\n- [Internet of Things by Prof. Dr.-Ing. Dietmar P. F. Möller](https:\u002F\u002Fvideo.tu-clausthal.de\u002Fvorlesung\u002F408.html)\n- [18 642 - Embedded Software Engineering, Fall 2021 - CMU](https:\u002F\u002Fusers.ece.cmu.edu\u002F~koopman\u002Flectures\u002Findex.html#642)\n- [CSE 351 - The Hardware\u002FSoftware Interface, Spring 16 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse351\u002F16sp\u002Fvideos.html) ([Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002Ff1384286c8581bffba11e378fdb37608e649d82a))\n- [ECE 5030 - Electronic Bioinstrumentation, Spring 2014 - Cornell University](http:\u002F\u002Fpeople.ece.cornell.edu\u002Fland\u002Fcourses\u002Fece5030\u002F)\n- [ECE\u002FCS 5780\u002F6780 - Embedded Systems Design, Spring 14 - University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)\n- [EECS 373 - Introduction to Embedded System Design - University of Michigan](https:\u002F\u002Fwww.eecs.umich.edu\u002Fcourses\u002Feecs373\u002Flectures.html) ([Lectures - YouTube-Fall 24](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDe8F9fr1j_QULxa7xCozweLKYI4cXun4)) ([Lectures - YouTube-Fall 23](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDe8F9fr1j_R2ljCeIq2FOLHaeZ6tBV_o))\n- [Embedded Systems Class - Version 1 - 2011 - UNCC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE4462C1C306E2EB2)\n- [Embedded Systems using the Renesas RX63N Processor - Version 3 - UNCC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPIqCiMhcdO5gxLJWt_hY5CPMzqg75IU5)\n- [Software Engineering for Embedded Systems (WS 2011\u002F12) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F864\u002F)\n- [Embedded Software Testing - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106112\u002F)\n- [Embedded Systems - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108102045\u002F)\n- [Embedded Systems Design - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105159\u002F)\n- [ARM Based Development - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106111\u002F)\n- [Software Engineering for Self Adaptive Systems - iTunes - HPI University of Potsdam](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fsoftware-engineering-for-self\u002Fid993578475)\n- [EE260 Embedded Systems by Robert Paz](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnvE9iJk1wvib_pdUPdQGYZrkrmg9mf__)\n- [IoT Summer School](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHih6DnKQaoYQ5PIT3Tp-UrqUguDYWYQu)\n- [ECSE 421 - Embedded Systems - McGill](http:\u002F\u002Fwww.cim.mcgill.ca\u002F~jer\u002Fcourses\u002Fes\u002F)\n- [NOC:Advanced IOT Applications - IISc Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F108\u002F108108123\u002F)\n- [NOC:Design for internet of things - IISc Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F108\u002F108108098\u002F)\n\n------------------------------\n\n### Real time system evaluation\n\n- [Performance evaluation of Computer systems - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106\u002F106\u002F106106048\u002F)\n- [Real Time systems - IIT Karaghpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106\u002F105\u002F106105036\u002F)\n- [EE 380 Colloquium on Computer Systems - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu)\n- [System storages - IISc Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106\u002F108\u002F106108058\u002F)\n- [High Performance Computing - IISC Bangalore](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2F82ECDF8BB71B0C)\n- [2023 High Performance Computing Course Prof Dr - Ing Morris Riedel](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmJwSK7qduwUBwrFn3SY8vi4AYa2rVTWH) ([2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmJwSK7qduwWyqcSEB45HOyxq--z8njix))\n- [High Performance Computing | Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPk8NaXIiFQXWK6VPnrtMRXC)\n- [UCLA Stats 205 Hierarchical Linear Models spring 2024, by Jingyi Jessica Li](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1O2HbRr4gORnscbM9EszYbK)\n- [UF EML 6934 Optimal Control spring 2012, by Anil V. Rao](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBCJ9JyHfBi4ftc9FDCtaBc)\n- [Real-World Algorithms for IoT and Data Science - UIUC](https:\u002F\u002Frrc-uiuc.notion.site\u002FReal-World-Algorithms-for-IoT-and-Data-Science-74d8f612f74a4c1689760dafa31ef93d)\n\n------------------------------\n\n### Computer Organization and Architecture\n\n- **Computer Organization**\n  - [How Computers Work - Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fhcw\u002Findex.php?view=cw)\n  - [CS 61C - Machine Structures, UC Berkeley Spring 2015](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs61c-spring2015-berkeley.html) \n  - [6.004 - Computation Structures Spring 2013, MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)\n  - [CS\u002FECE 3810 Computer Organization, Fall 2015, , University of Utah](http:\u002F\u002Fwww.cs.utah.edu\u002F~rajeev\u002Fcs3810\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm7BxCUdWqZzjZ-jRe73KUfj2GsSS2FPy))\n  - [Digital Computer Organization - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105078\u002F)\n  - [Computer Organization - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106092\u002F)\n  - [CS-224 - Computer Organization, 2009-2010 Spring, Bilkent University](http:\u002F\u002Fvideo.bilkent.edu.tr\u002Fcourse_videos.php?courseid=16) ([YouTube playlist](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhwVAYxlh5dvB1MkZrcRZy6x_a2yORNAu))\n  - [INFORMATICS 2C - INTRODUCTION TO COMPUTER SYSTEMS (AUTUMN 2016) - University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Finf2c-cs.htm)\n- **Computer Architecture**\n  - [18-447 - Introduction to Computer Architecture, CMU](http:\u002F\u002Fwww.ece.cmu.edu\u002F~ece447\u002Fs15\u002Fdoku.php?id=schedule) ([Lectures - YouTube - Fall 15](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq))\n  - [CSEP 548 - Computer Architecture Autumn 2012 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep548\u002F12au\u002Fvideo\u002Findex.html)\n  - [CS\u002FECE 6810 Computer Architecture, Spring 2016, University of Utah](http:\u002F\u002Fwww.cs.utah.edu\u002F~rajeev\u002Fcs6810\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8EC1756A7B1764F6))\n  - [MOOC - Computer Architecture, David Wentzlaff - Princeton University\u002FCoursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F53bae6d22f3b6e692673f9335e0a0198c1618426)\n  - [Computer Architecture - ETH Zürich - Fall 2019](https:\u002F\u002Fsafari.ethz.ch\u002Farchitecture\u002Ffall2019\u002Fdoku.php?id=schedule)\n  - [Digital Circuits and Computer Architecture - ETH Zurich - Spring 2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi-IXWTT7xoNYpst5-zdZQ6y)\n  - [Computer Architecture - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102062\u002F)\n  - [Computer Architecture - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104122\u002F)\n  - [Computer Architecture - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106134\u002F)\n  - [High Performance Computer Architecture - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105033\u002F)\n  - [BE5B35APO - Computer Architectures, Spring 2025, CTU - FEE](https:\u002F\u002Fcw.fel.cvut.cz\u002Fb242\u002Fcourses\u002Fb35apo\u002Fen\u002Flectures\u002Fstart) ([RISC-V simulator - QtRvSim](https:\u002F\u002Fcomparch.edu.cvut.cz\u002F)), ([YouTube - Spring 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQL6z4JeTTQl3tUGV5kM5Wt9ziZrV-fpI)), ([YouTube - Spring 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQL6z4JeTTQnTrML7HgagbjdpCtvdyu0M))\n  - [BE4M35PAP - Advanced Computer Architectures, Winter 2025, CTU - FEE](https:\u002F\u002Fcw.fel.cvut.cz\u002Fb251\u002Fcourses\u002Fb4m35pap\u002Flectures\u002Fstart) ([VHSky.cz - Winter 2025](https:\u002F\u002Fvhsky.cz\u002Fw\u002Fp\u002F8jhsHuueWNpjXWVcJTBg88))\n  - [CS773: Computer Architecture for Performance and Security - IIT Bombay](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLw6vmiIQrilQ-KhbMAMeh9_eddYjHRjb6)\n  - [COL718 - Architecture of High Performance Computers - IIT Delhi](https:\u002F\u002Fwww.cse.iitd.ac.in\u002F~srsarangi\u002Fcourses\u002F2020\u002Fcol_718_2020\u002Findex.html)\n  - [CS 695: Virtualization and Cloud Computing - IIT Bombay -Spring 2021](https:\u002F\u002Fwww.cse.iitb.ac.in\u002F~cs695\u002F)\n- **Parallel Computer Architecture**\n  - [15-418 - Parallel Computer Architecture and Programming, CMU](http:\u002F\u002F15418.courses.cs.cmu.edu\u002Fspring2015\u002F) ([Lecture Videos](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22a5862643-2416-49ef-b46b-13465d1b6df0%22))\n  - [CS 267 Applications of Parallel Computers, Spring 18 - UC Berkeley](https:\u002F\u002Fsites.google.com\u002Flbl.gov\u002Fcs267-spr2018\u002F) ([YouTube-Spring 18](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIx1CL7aIN9BwFL_sttEzfQ7)) ([Notes-Spring 16](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~demmel\u002Fcs267_Spr16\u002F)) ([YouTube-Spring 16](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIzSfxr35ZT59-LZcibZmfp2))\n  - [MOOC - Heterogeneous Parallel Programming - Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F8903d0871c652b96c7b29db738cea76902d65888)\n  - [ECE 498AL - Programming Massively Parallel Processors](https:\u002F\u002Fnanohub.org\u002Fresources\u002F7225)\n  - [ECE 1756 - Reconfigurable Computing and FPGA Architecture - University of Toronto - Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUKkY-JJArvBOeaNPXBz5Pe3gXuBqdeSA) ([YouTube-Fall 2022](https:\u002F\u002Fwww.youtube.com\u002F@UofT-FPGA\u002Fstreams))\n  - [Parallel Computing - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102114\u002F)\n  - [Parallel Architectures 2012\u002F13- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2012\u002Fpa.htm)\n- **Digital Systems Design**\n  - [ELEC2141 Digital Circuit Design, UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLB52B8F4E464CEEF7)\n  - [Digital Systems Design - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105080\u002F)\n  - [Digital Design Course - 2015 - UNCC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPIqCiMhcdO7bBmieyG5u41x2Ogcn67Bs)\n- [CS1 - Higher Computing - Richard Buckland UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6B940F08B9773B9F)\n- [MOOC - From NAND to Tetris - Building a Modern Computer From First Principles](https:\u002F\u002Fwww.nand2tetris.org\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNMIACtpT9BfztU0P92qlw8Gd4vxvvfT1))\n- [System Validation, TU Delft](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fsystem-validation\u002F)\n- [High Performance Computing - IISC Bangalore](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108055\u002F)\n- [Introduction to ARM - Open SecurityTraining](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUFkSN0XLZ-n91t_AX5zO007Giz1INwPd)\n- [Intro x86 (32 bit) - Open SecurityTraining](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL038BE01D3BAEFDB0)\n- [Intermediate x86 (32 bit) - Open SecurityTraining](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8F8D45D6C1FFD177)\n- [EECS 151 \u002F 251A Introduction to Digital Design and Integrated Circuits - UC Berkeley - Fall 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDxxeCDskQsOOr5eBacGmJL)\n- [Design of Digital Circuits - ETH Zürich - Spring 2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi8J58xLKBNFQFHRO3GrXxA9)\n- [Onur Mutlu @ TU Wien 2019 - Memory Systems](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi_gntM55VoMlKlw7YrXOhbl)\n- [Memory Systems Course - Technion, Summer 2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi-IymxXpH_9vlZCOeA7Yfn9)\n- [UC Berkeley EECS16A Designing Information Devices and Systems I summer 2020, by Grace Kuo, Panos Zarkos, Urmita Sikder](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9_svw6nCsGOaDZaYSjpgcB)\n- [UC Berkeley EECS 16B Designing Information Devices and Systems II fall 2020, by Seth Sanders, Miki Lustig](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_QO6og7qXyvjMUHXNI7Hqs)\n- [EE 503 - Statistical Signal Processing and Modeling - Fall 2020 - METU](https:\u002F\u002Focw.metu.edu.tr\u002Fcourse\u002Fview.php?id=350) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhAAV-jkgAdx8wIshnGR6GZeJSXXC6cxl))\n- [ELEN E4810 - DIGITAL SIGNAL PROCESSING - Fall 2013 - Columbia](https:\u002F\u002Fwww.ee.columbia.edu\u002F~dpwe\u002Fe4810\u002Foutline.html)\n- [ELEN E4896 - MUSIC SIGNAL PROCESSING - Spring 2016 - Columbia](https:\u002F\u002Fwww.ee.columbia.edu\u002F~dpwe\u002Fe4896\u002Foutline.html)\n- [Columbia ELEN E6820 Speech and Audio Processing spring 2006, by Dan Ellis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem8IpOKncIUSEFsYWoJyS5ks)\n- [CMU 11 751 \u002F 18 781 Speech Recognition and Understanding fall 2023, by Shinji Watanabe](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfVqr2l0FG-tW8d5ZSz-_tCgQed_F1ndb) ([Fall 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfVqr2l0FG-u7chWKPQMDoT0o-I2ejxeK))\n- [CMU 11 492 Speech Processing fall 2021, by Alan W. Black](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9InUp3CZHL4g7IwzfKXe3c)\n\n------------------------------\n\n### Security\n\n- [Internet Security (WT 2018\u002F19) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1227\u002F)\n- [6.1600 Foundations of Computer Security - MIT Fall 2023](https:\u002F\u002F61600.csail.mit.edu\u002F2023\u002F)\n- [6.858 Computer Systems Security - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-858-computer-systems-security-fall-2014\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [CS 253 Web Security - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL1y1iaEtjSYiiSGVlL1cHsXN_kvJOOhu-)\n- [CS 161: Computer Security, UC Berkeley](https:\u002F\u002Ffa23.cs161.org\u002F) ([Videos - Fall 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfBkt1-_BHX_VxOWlmstguFxojSN742vz)) ([Videos - Fall 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfBkt1-_BHX8kQZhisgrCLAnuAd3-Ek5U)) ([Spring 2025](https:\u002F\u002Fsp25.cs161.org\u002F))\n- [6.875 - Cryptography - Fall 2021 - MIT](https:\u002F\u002Fmit6875.github.io\u002Ffall2021.html) ([Spring 2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6ogFv-ieghe8MOIcpD6UDtdK-UMHG8oH))\n- [CSEP590A - Practical Aspects of Modern Cryptography, Winter 2011 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep590a\u002F11wi\u002F) ([Videos](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep590a\u002F11wi\u002Fvideo\u002F))\n- [CS461\u002FECE422 - Computer Security - University of Illinois at Urbana-Champaign](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs461\u002Fsp2016\u002F) ([Videos](https:\u002F\u002Frecordings.engineering.illinois.edu:8443\u002Fess\u002Fportal\u002Fsection\u002F8a560718-345a-417a-b665-6bd375a71ee2))\n- [Introduction to Cryptography, Christof Paar - Ruhr University Bochum, Germany](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwJWuZfL_Ga2KJrTf9hOIgAQWkSpn9RNm)\n- [ECS235B Foundations of Computer and Information Security - UC Davis](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fcomputer-science-foundations\u002Fid389259109)\n- [CIS 4930\u002F CIS 5930 - Offensive Computer Security, Florida State University](http:\u002F\u002Fwww.cs.fsu.edu\u002F~redwood\u002FOffensiveComputerSecurity\u002Flectures.html)\n- [Introduction to Information Security I - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106129\u002F)\n- [Information Security - II - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106141\u002F)\n- [Introduction to Cryptology - IIT Roorkee](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106107155\u002F)\n- [Cryptography and Network Security - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105031\u002F)\n- [18-636 Browser Security, Stanford](https:\u002F\u002Fcourseware.stanford.edu\u002Fpg\u002Fcourses\u002F334553\u002F18636-spring-2013)\n- [Internet Security - Weaknesses and Targets (WT 2015\u002F16)](https:\u002F\u002Fwww.tele-task.de\u002Farchive\u002Fseries\u002Foverview\u002F1084\u002F) ([WT 2012\u002F13](https:\u002F\u002Fwww.tele-task.de\u002Farchive\u002Fseries\u002Foverview\u002F921\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLVWVhkyKd-7taP50fB9PeZ2W_EPTOLD8o)))\n- [IT Security, Steven Gordon - Thammasat University, Thailand](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF9-XSGfm-3uA9DfF7plasCF)\n- [Security and Cryptography, Steven Gordon - Thammasat University, Thailand](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF-z2sfMb3w0uQzd7PfaLFlU)\n- [MOOC - Cryptography - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL58C6Q25sEEHXvACYxiav_lC2DqSlC7Og)\n- [MOOC - Intro to Information Security - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkG-z00NybuIyDqT4sRh3ak)\n- [ICS 444 - Computer & Network Security](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLciCszvvRCTV09wIXJwiPmYF7thHiq4En)\n- [Privacy and Security in Online Social Networks - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106146\u002F)\n- [Malware Dynamic Analysis - Open SecurityTraining](http:\u002F\u002Fopensecuritytraining.info\u002FMalwareDynamicAnalysis.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUFkSN0XLZ-kqYbGpY4Gt_VATd4ytQg-Z))\n- [CSN09112 - Network Security and Cryptography - Bill Buchanan - Edinburgh Napier](https:\u002F\u002Fasecuritysite.com\u002Fcsn09112)\n- [CSN10107 - Security Testing and Network Forensics - Bill Buchanan - Edinburgh Napier](https:\u002F\u002Fasecuritysite.com\u002Fcsn10107)\n- [CSN11123 - Advanced Cloud and Network Forensics - Bill Buchanan - Edinburgh Napier](https:\u002F\u002Fasecuritysite.com\u002Fcsn11123)\n- [CSN11117 - e-Security - Bill Buchanan - Edinburgh Napier](https:\u002F\u002Fasecuritysite.com\u002Fcsn11117)\n- [CSN08704 - Telecommunications - Bill Buchanan - Edinburgh Napier](https:\u002F\u002Fasecuritysite.com\u002Fcsn08704)\n- [CSN11128 - Incident Response and Malware Analysis - Bill Buchanan - Edinburgh Napier](https:\u002F\u002Fasecuritysite.com\u002FCSN11128)\n- [Internet Security for Beginners by Dr. Christoph Meinel - HPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAdsi-IacgZJQF1MRw0Ee-HH)\n- [Offensive Security and Reverse Engineering, Chaplain University by Ali Hadi](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCS2zI95IiNybAAQ0HL88YzwRpLXje5y6)\n- [Computer Systems Security, Fall 2020, Vinod Ganapathy, IISc Bangalore](https:\u002F\u002Fwww.csa.iisc.ac.in\u002F~vg\u002Fteaching\u002FSecurityLectures\u002F)\n- [UC Berkeley CS 161 Computer Security, Summer 2021, by Nicholas Ngai and Peyrin Kao](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAPoe_0mUsXYaxZfsFyQyFE)\n- [UCSD CS291A Differential Privacy Fall 2021, by Yu-Xiang Wang](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FDPCourse-2021Fall\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTN4aNO9NiB7UiBbSFznHRSkdieBc0-sk))\n- [Zero Knowledge Proofs MOOC, UC Berkeley RDI Center on Decentralization & AI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3Rtgor_yJmQsGBZAg5XM4TSGpPs)\n- [Multimedia Security, Fall 2017, FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F786)\n\n------------------------------\n\n### Computer Graphics\n\n- [ECS 175 - Computer Graphics, Fall 2009 - UC Davis](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fcomputer-graphics-fall-2009\u002Fid457893733?mt=10)\n- [6.837 - Computer Graphics - Spring 2017 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkHIj5SCfn3_PCotoqTetMpJc_jkpkgLt)\n- [6.838 - Shape Analysis - Spring 2017- MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkHIj5SCfn3-FeWqD3xeOZWP2kQYY654o)\n- [Introduction to Computer Graphics - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102065\u002F)\n- [Computer Graphics - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106090\u002F)\n- [Computer Graphics 2012, Wolfgang Huerst, Utrecht University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDFA8FCF0017504DE)\n- [CS 5630\u002F6630 - Visualization, Fall 2016, University of Utah](http:\u002F\u002Fdataviscourse.net\u002F2016\u002Findex.html) ([Lectures - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0))\n- [Advanced Visualization UC Davis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLslgisHe5tBNnySlj9TlL-n-4jNEK-xgi)\n- [Computer Graphics Fall 2011, Barbara Hecker](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9C949E9F19381E61)\n- [Ray Tracing for Global Illumination, UCDavis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLslgisHe5tBPckSYyKoU3jEA4bqiFmNBJ)\n- [Rendering \u002F Ray Tracing Course, SS 2015 - TU Wien](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi)\nintroduction\u002Fid389259246))\n- [Computational Geometry - IIT Delhi](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102011\u002F)\n- [CS 468 - Differential Geometry for Computer Science - Stanford University](http:\u002F\u002Fgraphics.stanford.edu\u002Fcourses\u002Fcs468-13-spring\u002Fschedule.html) ([Lecture videos](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_deCdukpyu1rdH85XsEEREbpoqEauiJl))\n- [CMU 15-462\u002F662: Computer Graphics](http:\u002F\u002F15462.courses.cs.cmu.edu\u002Ffall2020\u002F)\n- [UC Berkeley CS184\u002F284A Computer Graphics and Imaging Spring 2022, by Ren Ng](https:\u002F\u002Fcs184.eecs.berkeley.edu\u002Fsp22) ([YouTube playlist](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKABEUa7EJzO8tgYRz120EpP))\n- [CS 15-458\u002F858: Discrete Differential Geometry - Carnegie Mellon University - Spring 2021](https:\u002F\u002Fbrickisland.net\u002FDDGSpring2021\u002F)\n- [IN2124: Basic Mathematical Tools for Imaging and Visualization - TUM - Winter 2021](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2021&term=W&slug=GMMfIuV&view=3)\n\n------------------------------\n\n### Image Processing and Computer Vision\n\n- [Digital Image Processing - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105079\u002F)\n- [CS 543 - Computer Vision – Spring 2017](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs543\u002Fsp2017\u002F) ([Recordings](https:\u002F\u002Fecho360.org\u002Fsection\u002F283b0471-3d9f-4efb-9c51-bc00e778735e\u002Fhome))\n- [CAP 5415 - Computer Vision - University of Central Florida](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcourses\u002Fcap5415-fall-2012\u002F)([Video Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9))\n- [EE637 - Digital Image Processing I - Purdue University](https:\u002F\u002Fengineering.purdue.edu\u002F~bouman\u002Fece637\u002F) ([Videos - Sp 2011](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FModelBasedImaging),[Videos - Sp 2007](https:\u002F\u002Fengineering.purdue.edu\u002F~bouman\u002Fece637\u002Flectures\u002Flectures07\u002F))\n- [Computer Vision I: Variational Methods - TU München](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fws2015\u002Fvmcv2015) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI))\n- [Computer Vision II: Multiple View Geometry (IN2228), SS 2016 - TU München](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fss2016\u002Fmvg2016) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4))\n- [EENG 512\u002FCSCI 512 - Computer Vision - Colorado School of Mines](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4B3F8D4A5CAD8DA3)\n- [Computer Vision for Visual Effects - RPI](https:\u002F\u002Fwww.ecse.rpi.edu\u002F~rjradke\u002Fcvfxcourse.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a))\n- [Introduction to Image Processing - RPI](https:\u002F\u002Fwww.ecse.rpi.edu\u002F~rjradke\u002Fimproccourse.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX))\n- [CAP 6412 - Advanced Computer Vision - University of Central Florida](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcap6412-spring-2013\u002F)([Video lectures](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcap6412-spring-2013\u002F)) ([Spring 2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_ImoNaeX5vFrxogGXTSmS993))\n- [Digital Signal Processing - RPI](https:\u002F\u002Fwww.ecse.rpi.edu\u002F~rjradke\u002Fdspcourse.html)\n- [UC Berkeley EE 123 Digital Signal Processing fall 2003, by Avideh Zakhor](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAVZtXnfoe689IBTJ2lNMmi)\n- [UC Berkeley EE 225B Digital Image Processing spring 2006, by Avideh Zakhor](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAa5Vt6T6Noo8I0VaopzXuH)\n- [Gatech ECE 2026 Introduction to Signal Processing spring 2025, by Aaron Lanterman](https:\u002F\u002Fdspfirst.gatech.edu\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOunECWxELQTS8q48sEeJhKZHsEp5uZOK))\n- [Gatech ECE 4270 Digital Signal Processing Fundamentals spring 2021, by David Anderson](https:\u002F\u002Fwww.dropbox.com\u002Fscl\u002Ffi\u002Fbc60530e82kaklgg0o6dm\u002FECE4270-LectureNotes.pdf?rlkey=srgklnkc5032o3g6in9fpk69i&e=2&dl=0) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@dspfundamentals\u002Fplaylists))\n- [Gatech ECE 6250 Advanced Digital Signal Processing summer 2020, by David Anderson](https:\u002F\u002Fwww.dropbox.com\u002Fscl\u002Ffi\u002F4vi01toq9p6ldckecgem4\u002FAdvDSP-OneNote2023.pdf?rlkey=k3q14dlcsqnsc270wox5oei8e&e=2&dl=0) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCVaVjGeO3uG1tYDyDTJLb5c_ugIQcgAi))\n- [Gatech ECE 6271 Adaptive Signal Processing winter 2023, by David Anderson](https:\u002F\u002Fwww.dropbox.com\u002Fscl\u002Ffi\u002Fu7u149sf3u3j1h650a2io\u002FAdaptiveFilters-OneNote2023.pdf?rlkey=y5o9dsb866ba4630cp14otc31&e=2&dl=0) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCVaVjGeO3uFc4uEy3oFddcEc_8FO_0Sx))\n- [Advanced Vision 2014 - University of Edinburgh](http:\u002F\u002Fhomepages.inf.ed.ac.uk\u002Frbf\u002FAVINVERTED\u002Fmain_av.htm)\n- [Photogrammetry Course - 2015\u002F16 - University of Bonn, Germany](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGRsi5vzy9PiQpNWHjq-bKN1)\n- [MOOC - Introduction to Computer Vision - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm)\n- [ECSE-4540 - Intro to Digital Image Processing - Spring 2015 - RPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)\n- [Machine Learning for Computer Vision - Winter 2017-2018 - UniHeidelberg](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)\n- [High-Level Vision - CBCSL OSU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcXJymqaE9POZaT6UFAUUvrQiVQLfzCLN)\n- [Advanced Computer Vision - CBCSL OSU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcXJymqaE9POnU3bVmCVMmtSXzCpcj28T)\n- [Introduction to Image Processing & Computer Vision - CBCSL OSU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcXJymqaE9PMexHWGgXJVINpr6ajy5vuz)\n- [Machine Learning for Computer Vision - TU Munich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl)\n- [Biometrics - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104119\u002F)\n- [Quantitative Big Imaging 2019 ETH Zurich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTWuXgjdOrnmXVVQG5DRkVeOIGOcTmCIw)\n- [Multiple View Geometry in Computer Vision](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyH-5mHPFffFvCCZcbdWXAb_cTy4ZG3Dj)\n- [Modern C++ Course For CV (2020) - University of Bonn](https:\u002F\u002Fwww.ipb.uni-bonn.de\u002Fteaching\u002Fcpp-2020\u002Flectures)\n- [Photogrammetry 1 Course – 2020 - University of Bonn](https:\u002F\u002Fwww.ipb.uni-bonn.de\u002Fphoto1-2020\u002F)\n- [Photogrammetry II Course 2020\u002F21 - University of Bonn](https:\u002F\u002Fwww.ipb.uni-bonn.de\u002Fphoto2-2020\u002F)\n- [3D Computer Vision - National University of Singapore](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)\n- [Diagnostic Medical Image Processing - Fall 2014 - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F736) ([Fall 2011](https:\u002F\u002Ffau.tv\u002Fcourse\u002Fid\u002F123)) ([Fall 2010](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F52)) ([Fall 2009](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F13))\n- [Interventional Medical Image Processing - Spring 2016 - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F465) ([Spring 2015](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F354)) ([Spring 2012](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F151)) ([Spring 2011](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F105)) ([Spring 2009](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3))\n- [Advances in Computer Vision - MIT](https:\u002F\u002Fwww.scenerepresentations.org\u002Fcourses\u002F2025\u002Fspring\u002Fadvances-in-cv\u002F)\n- [3D Computer Vision | National University of Singapore](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)\n------------------------------\n\n### Computational Physics\n\n- [Statistics and Machine Learning for Astronomy](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLo4wAAMJnA1wDQ2ZmTJCaBYdrXqBWUwT5)\n- [Astronomical data analysis using Python 2021 - NRC IUCAA](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3jLiVc5sr3P7Uov0VFsEfwPOEG1rF-FO)\n- [SPARC Workshop on Machine Learning in Solar Physics and Space Weather - CESSI IISER Kolkata](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtxxbMktGS8pjURPBXJTAkClnXVE_ZNni)\n- [Data-Driven Methods and Machine Learning in Atmospheric Sciences - IISC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnUDCXHuQXBaGrYSbDMWi2inp7GSe3__8)\n- [Computational Astrophysics - AstroTwinCoLo, 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw)\n- [Astroinformatics 2019 Conference - Caltech](https:\u002F\u002Fm.youtube.com\u002Fplaylist?list=PL8_xPU5epJdcv2L4MzpzNd6gPyq6glmjc)\n- [Space Science with Python - Astroniz](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNvIBWkEdZ2iCc8G9dvx6MQvBruJG-TE8)\n- [Computational Physics Course in Python, Rutgers 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXmUYdQdC9IGv61Y1lhGBH0NsDQRdwcJE)\n- [Landau Computational Physics Course](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnWQ_pnPVzmJnp794rQXIcwJIjwy7Nb2U)\n- [Statistical Methods and Machine Learning in High Energy Physics](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL04QVxpjcnjjKDki5FHlKQ8839TGHvj8y)\n- [Physics Informed Machine Learning by Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBa)\n- [Physics-informed machine learning meets engineering seminar series](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuD_SqLtxSdW5aasHsFTNw_MrZrtu5tZ3)\n- [Physics Informed Machine Learning Workshop](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWL3MaEZQ5I2LYm5BAdLYso5wGe9WMNby)\n- [Jake VanderPlas: Machine learning in Astronomy python tutorial](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzWVyeIO6Cmt1cWrzwF2yqW-9j5TgyQaD)\n------------------------------\n\n### Computational Biology\n\n- [ECS 124 - Foundations of Algorithms for Bioinformatics - Dan Gusfield, UC Davis](http:\u002F\u002Fweb.cs.ucdavis.edu\u002F~gusfield\u002Fcs124videos\u002Fvideolist.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_w_qWAQZtAbh8bHfzXYpdnVKCGCDmmoL))\n- [CSE549 - Computational Biology - Steven Skiena - 2010 SBU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLA48145CC64FE7990)\n- [7.32 Systems Biology, Fall 2014 - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fphysics\u002F8-591j-systems-biology-fall-2014\u002F)\n- [6.802J\u002F 6.874J Foundations of Computational and Systems Biology - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F7-91j-foundations-of-computational-and-systems-biology-spring-2014\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [6.S897 Machine Learning For Healthcare](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-s897-machine-learning-for-healthcare-spring-2019\u002Fvideo_galleries\u002Flecture-videos\u002F)\n- [6.047\u002F6.878 Machine Learning for Genomics Fall 2020 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca6dEYlNoZJwBaz__CdsaoKJ)\n- [6.874 MIT Deep Learning in Life Sciences - Spring 2021 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX)\n- [6.047\u002F6.878 Public Lectures on Computational Biology: Genomes, Networks, Evolution - MIT](http:\u002F\u002Fcompbio.mit.edu\u002Flectures.html)\n- [Bio 84 - Your Genes and Your Health, Stanford University](https:\u002F\u002Fcmgm.stanford.edu\u002Fbio84\u002F)\n- [BioMedical Informatics 231 Computational Molecular Biology, Stanford University](https:\u002F\u002Fcmgm.stanford.edu\u002Fbiochem218\u002F)\n- [BioMedical Informatics 258 Genomics, Bioinformatics & Medicine, Stanford University](http:\u002F\u002Fbiochem158.stanford.edu\u002F)\n- [03-251: Introduction to Computational Molecular Biology - Carnegie Mellon University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUKmtlUTHfBPoI70nVz3C-82N4nznc3Iz)\n- [03-712: Biological Modeling and Simulation - Carnegie Mellon University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUKmtlUTHfBOgpZFmTvsTwkUh2K1RAse-)\n- [MOOC - Bioinformatics Algorithms: An Active Learning Approach - UC San Diego\u002FCoursera](http:\u002F\u002Fbioinformaticsalgorithms.com\u002Fvideos.htm)\n- [Neural Networks and Biological Modeling - Lecturer: Prof. Wulfram Gerstner - EPFL](http:\u002F\u002Fwww.klewel.com\u002Fconferences\u002Fepfl-neural-networks\u002F)\n- [Video Lectures of Wulfram Gerstner: Computational Neuroscience - EPFL](http:\u002F\u002Flcn.epfl.ch\u002F~gerstner\u002FVideoLecturesGerstner.html)\n- [An Introduction To Systems Biology](http:\u002F\u002Fwww.weizmann.ac.il\u002Fmcb\u002FUriAlon\u002Fintroduction-systems-biology-design-principles-biological-circuits)\n- [Introduction to Bioinformatics, METUOpenCourseWare](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuiPz6iU5SQ-PAjlyz4b3EIIQ6dpZ2DE_)\n- [MOOC - Algorithms for DNA Sequencing, Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2mpR0RYFQsBiCWVJSvVAO3OJ2t7DzoHA)\n- [Frontiers of Biomedical Engineering with W. Mark Saltzman - Yale](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL27E877E8206F196B)\n- [NOC:Computational Systems Biology - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F102\u002F106\u002F102106068\u002F)\n- [NOC:BioInformatics:Algorithms and Applications - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F102\u002F106\u002F102106065\u002F)\n- [MLCB24: Machine Learning in Computational Biology, Fall 2024 - Manolis Kellis - MIT](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=1zZSPeKGRzw&list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc&index=1)\n- [Data Science and AI for Neuroscience Summer School - Caltech Neuroscience](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlPxFwLgTtnfDtq_AO3dd62s33RHtU4bp)\n- [Theoretical and Computational Neuroscience Summer School - 2024 - CNeuro](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrAPN1qtMsr9XM_2MqXx2brXBpNit3whQ)\n- [Neuroscience 299: Computing with High-Dimensional Vectors - Fall 2021 - UC Berkeley](https:\u002F\u002Fredwood.berkeley.edu\u002Fcourses\u002Fcomputing-with-high-dimensional-vectors\u002F)\n- [BIO410\u002F510 Bioinformatics - California State University, Monterey Bay](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL17NIL2mko8mOPN9W0e4LOjJ2Dkome7ZH)\n- [BIO412: Comparative Genomics - California State University, Monterey Bay](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL17NIL2mko8nJ1RvfIwtaFnukoWICqS5B)\n- [CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0X39D1PSBWPfCPbHb8GC7hoev8SG4Aye)\n- [UCLA Stats M254 Statistical Methods in Computational Biology spring 2024, by Jingyi Jessica Li](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1PieIIeSFc7asuKWRYm6nGy)\n- [Cell and Molecular Biology for Engineers  ETH Zurich](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-itet\u002F2011\u002Fautumn\u002F227-0945-00L\u002F8e6b12f7-d8cc-4f78-83b1-352876a266d0.html)\n- [Statistical Models in Computational Biology](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-bsse\u002F2018\u002Fspring\u002F636-0702-00L\u002F21c63925-cd10-4d56-bac1-b412ed6fe385.html)\n- [ETH Zürich Statistical Models in Computational Biology spring 2018, by Niko Beerenwinkel](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-bsse\u002F2018\u002Fspring\u002F636-0702-00L\u002F21c63925-cd10-4d56-bac1-b412ed6fe385.html)\n- [UC Berkeley CS 198-96 Introduction to Neurotechnology fall 2020](https:\u002F\u002Fgithub.com\u002Fneurotech-berkeley\u002Fneurotech-course)\n- [MLCB24 - Machine Learning in Computational Biology Fall 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc) ([Fall 2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca6GBQwDTo4bIEDV8F4RcAgt)) ([Fall 2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca6U5uQOCHjP9Op3gpa177fK))\n- [Introduction to Neural Computation - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fbrain-and-cognitive-sciences\u002F9-40-introduction-to-neural-computation-spring-2018\u002F)\n- [Data Science for Biologists - Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNQz4BMoGSsN8cbt8pHlokhV)\n- [Big Data and Biological Networks IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBapdXdBZInSjonWNAUL6Ycm)\n\n\n------------------------------\n\n### Quantum Computing\n\n- [15-859BB: Quantum Computation and Quantum Information 2018 - CMU](https:\u002F\u002Fwww.cs.cmu.edu\u002F~odonnell\u002Fquantum18\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz))\n- [Quantum Computation and Information at CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz)\n- [Ph\u002FCS 219A Quantum Computation - Prof Preskill - Caltech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0ojjrEqIyPy-1RRD8cTD_lF1hflo89Iu)\n- [Quantum Mechanics and Quantum Computation - Umesh Vazirani](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL74Rel4IAsETUwZS_Se_P-fSEyEVQwni7)\n- [Introduction to quantum computing course 2022 - NYU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLo0Vs5tDeRLRIPcJ83SN91M-asGuaa1AD)\n- [Phys 1470 - Foundations of Quantum Computing and Quantum Information - U of Pittsburgh](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9KDUYiMK3D5etNeur9HocwcAcfcDtArw)\n- [Introduction to Quantum Computing From a Layperson to a Programmer in 30 Steps (EE225 SJSU)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnK6MrIqGXsJfcBdppW3CKJ858zR8P4eP)\n- [Quantum Computing Hardware and Architecture (EE274 SJSU)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnK6MrIqGXsL1KShnocSdwNSiKnBodpie)\n- [Quantum Physics for Non-Physicists 2021 - ETH Zurich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmE1-ewBrbkiOFq_vMXAww4GDMxDAB3pI) ([2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmE1-ewBrbkiKoYQU4FawveQfhWU_4MkX))\n- [Introduction to Quantum Computing and Quantum Hardware - Qiskit](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOFEBzvs-VvrXTMy5Y2IqmSaUjfnhvBHR)\n- [Understanding Quantum Information and Computation - Qiskit](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOFEBzvs-VvqKKMXX4vbi4EB1uaErFMSO)\n- [Lectures in Quantum Computation and Quantum Information (IIT Madras)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqLyTdPNhQZwfLoL4QMeI6scnyH1c__tE)\n- [Quantum Information and Computing by Prof. D.K. Ghosh](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLq-Gm0yRYwThGmlypvSFQ-kT2rPaXKAZ5)\n- [Quantum Computing by Prof. Debabrata Goswami](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLq-Gm0yRYwTj7Fs6jyzYa83HErSrpXgPQ)\n- [The Building Blocks of a Quantum Computer: Part 1 - TU Delft](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fbuilding-blocks-quantum-computer-part-1\u002F)\n- [The Building Blocks of a Quantum Computer: Part 2 - TU Delft](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fbuilding-blocks-quantum-computer-part-2\u002F)\n- [Quantum Cryptography - TU Delft](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fquantum-cryptography\u002F)\n- [Introduction to Quantum Information](https:\u002F\u002Fzhenyucai.com\u002Fpost\u002Fintro_to_qi\u002F)\n- [Quantum Computing for Everyone -- Part 1](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfOgkuiMs5qApXtgIMREPicgbYIGjbf8e) ([Part 2](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfOgkuiMs5qB-0J07mphWZ19j9Gll33ZU))\n- [Quantum Computer Systems – UChicago](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfOgkuiMs5qCa8BUrFMumyvPqeoOL-iu8)\n- [Quantum computing for the determined - Michael Nielsen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL1826E60FD05B44E4)\n- [Quantum Computing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxP0p--aBHmIe--9rczWe4AZmw03e2bz0)\n- [Advanced Topics in Quantum Info Th.](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmE1-ewBrbkicLl3pp14OmxRWSfdNYfmh)\n- [Theory of Quantum Communication - University of Waterloo - Fall 2020](https:\u002F\u002Fwww.math.uwaterloo.ca\u002F~wcleung\u002Fco781-f2020.html)\n- [Intro to Quantum Computing - Nathan Wiebe](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCYpyuTbBhQ2FvTmVLL6b3zA\u002Fvideos)\n- [COMS 4281 - Introduction to Quantum Computing -Columbia University](http:\u002F\u002Fwww.henryyuen.net\u002Fclasses\u002Fspring2021\u002F)\n- [Introduction to Quantum Information Science](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkespgaZN4gmu0nWNmfMflVRqw0VPkCGH) ([Online book](https:\u002F\u002Fqubit.guide\u002Fusing-the-e-book), [PDF](https:\u002F\u002Fqubit.guide\u002Fqubit_guide.pdf))\n- [A practical introduction to Quantum Computing: from Qubits to Quantum Machine Learning: CERN](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLu0nzW8Es1x3gEeqUm_32QbhmGHHUXSVo)\n- [PSI 2018\u002F2019 - Quantum Information Review (Gottesman)](https:\u002F\u002Fpirsa.org\u002FC19010)\n------------------------------\n\n### Robotics and Control\n\n- [ROB 101: Computational Linear Algebra - University of Michigan](https:\u002F\u002Fgithub.com\u002Fmichiganrobotics\u002Frob101\u002Ftree\u002Fmain\u002FFall%202021) ([Youtube - Fall 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDJ5d_dE4FeOviv0gRe4UYsB))\n- [ROB 102: Introduction to AI and Programming - University of Michigan](https:\u002F\u002Frobotics102.github.io\u002F)\n- [Robotics 201: Calculus for the Modern Engineer - University of Michigan](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDJMIi5bGorh40u_iOoDfC22)\n- [ROB 311: How to Build Robots and Make Them Move - University of Michigan](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDIWDJDjiBKjFe7ETD_rssB9)\n- [ROB 320: Robot Operating Systems - University of Michigan](https:\u002F\u002Fautorob.org\u002F)\n- [ROB 501: Mathematics for Robotics - University of Michigan](https:\u002F\u002Fgithub.com\u002Fmichiganrobotics\u002Frob501) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDIzO99aE7yAtdOHSVHMXfYH))\n- [ROB 530 MOBILE ROBOTICS at U of Michigan - WINTER 2022 -- Instructor: Maani Ghaffari](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdMorpQLjeXmbFaVku4JdjmQByHHqTd1F)\n- [Autorob Winter 2022 - University of Michigan](https:\u002F\u002Fm.youtube.com\u002Fplaylist?list=PLf_SmXJixhnWMMU6_xYW7iS08-7h9kENY)\n- [DeepRob Winter 2023 - University of Michigan](https:\u002F\u002Fm.youtube.com\u002Fplaylist?list=PLf_SmXJixhnXoMs0Qvxe500BrjfbIOwSg)\n- [CS 223A - Introduction to Robotics, Stanford University](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS223A)\n- [6.832 Underactuated Robotics - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-832-underactuated-robotics-spring-2009\u002F)\n- [CS287 Advanced Robotics at UC Berkeley Fall 2019 -- Instructor: Pieter Abbeel](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwRJQ4m4UJjNBPJdt8WamRAt4XKc639wF)\n- [CS 287 - Advanced Robotics, Fall 2011, UC Berkeley](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~pabbeel\u002Fcs287-fa11\u002F) ([Videos](http:\u002F\u002Frll.berkeley.edu\u002Fcs287\u002Flecture_videos\u002F))\n- [CMU 16-715 Robot Dynamics 2022 - CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6ItAfZIxJYNKdaR_BobleLY)\n- [CMU 16-745 Optimal Control 2024 - CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6Jv4f7E7RnzW4rijTUTPI4u) ([Lecture notebooks](https:\u002F\u002Fgithub.com\u002FOptimal-Control-16-745\u002Flecture-notebooks)) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6KugDT9sw5zhAmqKnGeoLRa)) ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6Iaf59ICcU9-DzztGZvK_52))\n- [CMU 16-745 Optimal Control Recitations 2024 - CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLR-CEg9er7kFfMQU9c3P8J77H3yKb4pTK) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLR-CEg9er7kH11A7Sg1rATCf5Noa7wauu))\n- [CE 356 Elements of Hydraulic Engineering Spring 2025 - UT Austin](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHovUGJUgy1Dtpt8QBt1sxK_SAPasG3g2)\n- [CE 397 Control Theory for Smart Infrastructure Spring 2023 - UT Austin](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHovUGJUgy1DvJoaJuBWdF_maE1-YzOfm)\n- [CS235 - Applied Robot Design for Non-Robot-Designers - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FStanfordCS235\u002Fvideos)\n- [Lecture: Visual Navigation for Flying Robots](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fss2012\u002Fvisnav2012) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EKeki5ps2WHqJqyQvxls4ha))\n- [CS 205A: Mathematical Methods for Robotics, Vision, and Graphics (Fall 2013)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ3UicqQtfNvQ_VzflHYKhAqZiTxOkSwi)\n- [Optimization and Learning for Robot Control - University of Trento, Italy](https:\u002F\u002Fandreadelprete.github.io\u002Fcourses\u002Folrc\u002F) ([YouTube-2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4nPbSX5VFGjA3ZSbdtcVEeUSIzYeF0Xw))\n- [Robotics 1, Prof. De Luca, Università di Roma](http:\u002F\u002Fwww.dis.uniroma1.it\u002F~deluca\u002Frob1_en\u002Fmaterial_rob1_en_2014-15.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAQopGWlIcyaqDBW1zSKx7lHfVcOmWSWt))\n- [Robotics 2, Prof. De Luca, Università di Roma](http:\u002F\u002Fwww.diag.uniroma1.it\u002F~deluca\u002Frob2_en\u002Fmaterial_rob2_en.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAQopGWlIcya6LnIF83QlJTqvpYmJXnDm))\n- [Robot Mechanics and Control, SNU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkjy3Accn-E7mlbuSF4aajcMMckG4wLvW)\n- [Introduction to Robotics Course - UNCC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4847E1D1C121292F)\n- [SLAM Lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLpUPoM7Rgzi_7YWn14Va2FODh7LzADBSm)\n- [CSE 478 – Autonomous Robotics – Winter 2025 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse478\u002F25wi\u002Fschedule\u002F) ([Winter 2024](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse478\u002F24wi\u002Fschedule\u002F))\n- [CSE 571 – AI-Robotics – Spring 2023 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse571\u002F23sp\u002F)\n- [EE 259 – Principles of Sensing for Autonomy – Spring 2023 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOhE007XQu707Dy52qXiZGV)\n- [ME 597 – Autonomous Mobile Robotics – Fall 2014](http:\u002F\u002Fwavelab.uwaterloo.ca\u002Findex6ea9.html?page_id=267)\n- [ME 780 – Perception For Autonomous Driving – Spring 2017](http:\u002F\u002Fwavelab.uwaterloo.ca\u002Findexaef8.html?page_id=481)\n- [ME780 – Nonlinear State Estimation for Robotics and Computer Vision – Spring 2017](http:\u002F\u002Fwavelab.uwaterloo.ca\u002Findexe9a5.html?page_id=533)\n- [METR 4202\u002F7202 -- Robotics & Automation - University of Queensland](http:\u002F\u002Frobotics.itee.uq.edu.au\u002F~metr4202\u002Flectures.html)\n- [UIUC CS-588 Autonomous Vehicle System Engineering Outline](http:\u002F\u002Fluthuli.cs.uiuc.edu\u002F~daf\u002Fcourses\u002FMAAV-21\u002F588-2021-records.html)\n- [Robotics - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F112101099\u002F)\n- [Introduction to Machine Vision](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL1pxneANaikCO1-Z0XTaljLR3SE8tgRXY)\n- [6.834J Cognitive Robotics - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Faeronautics-and-astronautics\u002F16-412j-cognitive-robotics-spring-2016\u002F)\n- [Hello (Real) World with ROS – Robot Operating System - TU Delft](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fhello-real-world-ros-robot-operating-system\u002F)\n- [Programming for Robotics (ROS) - ETH Zurich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE-BQwvVGf8HOvwXPgtDfWoxd4Cc6ghiP)\n- [Mechatronic System Design - TU Delft](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fmechatronic-system-design\u002F)\n- [CS 206 Evolutionary Robotics Course Spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAuiGdPEdw0inlKisMbjDypCbvcb_GBN9)\n- [Foundations of Robotics - UTEC 2018-I](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoWGuY2dW-Acmc8V5NYSAXBxADMm1rE4p)\n- [Robotics and Control: Theory and Practice IIT Roorkee](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLy_2iUCG87AjAXKbNMiKJZ2T9vvGpMB0)\n- [Mechatronics](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtuwVtW88fOeTFS_szBWif0Mcc0lfNWaz)\n- [ME142 - Mechatronics Spring 2020 - UC Merced](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-euleXgwWUNQ80DGq6qopHBmHcQyEyNQ)\n- [Mobile Sensing and Robotics - Bonn University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQJXx-x0t23RmRbjp_yMb4v)\n- [MSR2 - Sensors and State Estimation Course (2020) - Bonn University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQh_J16IMwDlji18SWQ2PZ6)\n- [SLAM Course (2013) - Bonn University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQrZ4O5QzbIHgl3b1JHimN_)\n- [ENGR486 Robot Modeling and Control (2014W)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJzZfbLAMTelwaLxFXteeblbY2ytU2AxX)\n- [Robotics by Prof. D K Pratihar - IIT Kharagpur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbRMhDVUMngcdUbBySzyzcPiFTYWr4rV_)\n- [Introduction to Mobile Robotics - SS 2019 - Universität Freiburg](http:\u002F\u002Fais.informatik.uni-freiburg.de\u002Fteaching\u002Fss19\u002Frobotics\u002F)\n- [Robot Mapping - WS 2018\u002F19 - Universität Freiburg](http:\u002F\u002Fais.informatik.uni-freiburg.de\u002Fteaching\u002Fws18\u002Fmapping\u002F)\n- [Mechanism and Robot Kinematics - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F112\u002F105\u002F112105236\u002F)\n- [Self-Driving Cars - Cyrill Stachniss - Winter 2020\u002F21 - University of Bonn)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD)\n- [Aerial Robotics - University of Pennsylvania (UPenn)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLblGgzWkqSqM7IWsgjDetdzZDS1NbkTnd)\n- [Modern Robotics - Northwestern University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx)\n- [MIT 6.4210\u002F6.4212 - Robotic Manipulation - MIT](https:\u002F\u002Fmanipulation.csail.mit.edu\u002FFall2022\u002Findex.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkx8KyIQkMfUSDs2hvTWzaq-cxGl8Ha69))\n- [Industrial Robotics and Automation - IIT (ISM) Dhanbad](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXDsvE7qtfNdt9oYEhJ_LMXDUGu6bH-L6)\n- [MEE5114 Advanced Control for Robotics from Southern University of Science and Technology](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLYkCanigA7S4x-ExlnFsQN9WrNZREWEZd)\n- [Self-Driving Cars — Andreas Geiger](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)\n- [Signal Processing: An Introduction by Nathan Kutz](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6Vi_EcJpt8E96_JTKoOKY3HYWVGjf6b4)\n- [UC Santa Barbara ME 269 Network Systems, Dynamics and Control fall 2021, by Francesco Bullo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7bpQ3f3TaeMsueY06FCmbNIEOOY-Ri2_)\n- [Cornell MAE 4710\u002F5710 Applied Dynamics spring 2020, by Andy Ruina](https:\u002F\u002Fcornell.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%229b14904e-5cd8-4ada-b0ff-ab4901537d09%22) ([Part 2](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FMAE%2B4710_5710%2B%2BApplied%2BDynamis_%2BSpring%2B2020\u002F248138383))\n- [Cornell MAE 4730\u002F5730 Intermediate Dynamics fall 2020, by Andy Ruina](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FMAE%2B4730_5730%2BIntermediate%2BDynamics%2BFall%2B2020%2B%2BRuina\u002F247509122)\n- [CMU 16 299 Introduction to Feedback Control Systems spring 2022, by Chris Atkeson](http:\u002F\u002Fwww.cs.cmu.edu\u002F~cga\u002Fcontrols-intro-22\u002F)\n- [University of Wisconsin-Madison ECE 332 Feedback Control Systems fall 2021, by Steven Fredette](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKB7-l9W1KHtBFUMvbskh5iR)\n- [MAE 509 Linear Matrix Inequality Methods in Optimal and Robust Control, by Matthew M. Peet](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5ebyVGQORm6n158o-I_liUZ7Q5Od43li)\n- [UIUC CS 588 Autonomous Vehicle System Engineering fall 2021, by David Forsyth](http:\u002F\u002Fluthuli.cs.uiuc.edu\u002F~daf\u002Fcourses\u002FMAAV-21\u002F588-2021-records.html)\n- [UCCS ECE4590\u002FECE5590 Model Predictive Control, by M. Scott Trimboli](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5590\u002Findex.html)\n- [EPFL ME 425 Model Predictive Control fall 2020, by Colin Jones](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHmHXT53cpnkpbwLqlKae0iKexM8SXKDM)\n- [Robots That Learn - UC Berkeley CS 294-277](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPaC96j0xdLcYLTSoSk9PO1Yg-1udJd-S)\n- [Data-Driven Dynamical Systems with Machine Learning - Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNR6DzT17-MM1GHLkuYVjhyt)\n- [Data-Driven Control with Machine Learning - Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNQkv98vuPjO2X2qJO_UPeWR)\n- [Wheeled Mobile Robots](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M9CXsZljkH_lCxRSiaXF566)\n- [Introduction to Mobile Robots and Robot Operating System (ROS), HSE 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2PmRem6srUn6jc7Q6ahjL8x2qJg150mZ)\n- [Surgical Robotics Lectures - Carleton University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLY6RHB0yqJVasji1rwZAGYirD8zW1ipj-)\n- [Introduction to Mechatronic and Robotics - IIT Bombay](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_uaeekrhGzJMZTb5etIdXasVO9-WVPVH)\n- [Robotics Fall 2020 - UIC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLc7bpbeTIk741sSBpPzj5hl_L8Wlrn1u8)\n- [Introduction to Robotics @ Princeton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF8B1bJgOQK67xkgYz_Xtx0ShjcqfdXwE)\n- [Evolutionary robotics course. Spring 2025](https:\u002F\u002Fwww.youtube.com\u002F@joshbongard3314\u002Fplaylists)\n- [Robotics: Basics and Selected Advanced - IISC Bangalore](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgMDNELGJ1CZT9pdEEkDylXFPLdcqxn0t)\n- [Nonlinear Control Design Jan 2024 - IIT Bombay](https:\u002F\u002Fgithub.com\u002FDeveloper-Y\u002Fcs-video-courses?tab=readme-ov-file)\n- [Intelligent Control of Robotic Systems - IIT Roorkee](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLy_2iUCG87AoVXK4Wi5EHZnguHtpDPw8)\n- [Mobile Robot Systems Course - Amanda Prorok, University of Cambridge](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaTKfS3-bDpDyOwrxLcQRGxY9XJw33ANo)\n- [Robot Academy - Peter Corke](https:\u002F\u002Frobotacademy.net.au\u002F)\n- [ENAE 788M: Hands On Autonomous Aerial Robotics - University of Maryland](https:\u002F\u002Fprg.cs.umd.edu\u002Fenae788m)\n\n\n------------------------------\n\n### Computational Finance\n\n- [COMP510 - Computational Finance - Steven Skiena - 2007 HKUST](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9E205B8FAAD530E1)\n- [Computational Finance Course - Prof Grzelak](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6zzGYGhbWrPaI-op1UfNl0uDglxdkaOB)\n- [Financial Engineering Course: Interest Rates and xVA - Prof Grzelak](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6zzGYGhbWrMpjEKDtnrHWyIj-oVLKCYD)\n- [MOOC - Mathematical Methods for Quantitative Finance, University of Washington\u002FCoursera)](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002Fdfc1ddde962101f00ef9764b91181bd6bb5c9e93)\n- [18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [18.642 Topics in Mathematics with Applications in Finance, Fall 2024 MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-642-topics-in-mathematics-with-applications-in-finance-fall-2024\u002Fpages\u002Fweek-1\u002F)\n- [Computational Finance - Universität Leipzig](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4i4aZbplv9J5jan6mDbDHtjfm7ghMWfj)\n- [Machine Learning for Trading | Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPnIRwl6rad_mYwEk4Gmj7Mx)\n- [ACT 460 \u002F STA 2502 – Stochastic Methods for Actuarial Science - University of Toronto](http:\u002F\u002Fwww.utstat.utoronto.ca\u002Fsjaimung\u002Fcourses\u002Fsta2502\u002Fmain.htm)\n- [MMF1928H \u002F STA 2503F –\nPricing Theory I \u002F Applied Probability for Mathematical Finance - University of Toronto](http:\u002F\u002Fwww.utstat.toronto.edu\u002Fsjaimung\u002Fcourses\u002Fmmf1928\u002Fcontent2013.htm)\n- [STA 4505H – High Frequency & Algorithmic trading - University of Toronto](http:\u002F\u002Fwww.utstat.utoronto.ca\u002Fsjaimung\u002Fcourses\u002Fsta4505\u002Fmain-2014.htm)\n- [Mathematical Finance - IIT Guwahati](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F111103126\u002F)\n- [Quantitative Finance - IIT Kanpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F110104066)\n- [Financial Derivatives & Risk Management - IIT Roorkee](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F110107128)\n- [Financial Mathematics - IIT Roorkee](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F112107260\u002F)\n- [Harvard Economics 2355 Deep Learning for Economics spring 2023, by Melissa Dell](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGTgQIsun7ueGTRzDlBWqgX6xBlMce-QC)\n- [UW ECON 484 Econometrics and Data Science spring 2020, by Gregory Duncan](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrE1feouzSWobe0NxC_v3cw_OyZL5i-IV)\n- [MATH69122 Stochastic Control for Finance](https:\u002F\u002Fappliedprobability.blog\u002Fcategory\u002Fmath69122-stochastic-control-for-finance\u002Fpage\u002F2\u002F)\n- [UC Davis MAT 133 Mathematical Finance Spring 2024, by Matthias Köppe](https:\u002F\u002Fvideo.ucdavis.edu\u002Fchannel\u002FMAT+133+%28Spring+2024%29\u002F340365092) ([Spring 2021](https:\u002F\u002Fvideo.ucdavis.edu\u002Fchannel\u002Fchannelid\u002F231002963))\n\n------------------------------\n\n### Network Science\n\n- [Network Science, 2021 - HSE](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLriUvS7IljvkGesFRuYjqRz4lKgodJgh2)\n- [Network Science TU Graz](https:\u002F\u002Fcourses.isds.tugraz.at\u002Fdhelic\u002Fnetsci\u002Findex.html)\n- [MATH\u002FCOMP 479 Network Science Macalester College](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlWULwPzrppXKYVyRxFt0YsgIDXiBDPNR)\n- [ACM Winter School on Network Science _Dec 2023, Ahmedabad University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPeEbErKGwN2qqFieu1z7KZ1SXxrmyCKx)\n- [Network Science 2021\u002F2022 (ENS Lyon)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6e66HEqjx1a1XHy4IIQHwPSRLU0bRoK1)\n\n------------------------------\n\n### Blockchain Development\n\n- **Blockchain and Cryptocurrencies**\n  - [Blockchain, Solidity, and Full Stack Web3 Development with JavaScript](https:\u002F\u002Fyoutu.be\u002FgyMwXuJrbJQ) \n  - [Blockchain Fundamentals Decal 2018 - Berkeley DeCal](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSONl1AVlZNU0QTGpbgEQXKHcmgYz-ddT)\n  - [Blockchain for Developers Decal - Spring 2018 - Berkeley DeCal](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSONl1AVlZNUzp71_H1kb87PvIh8kIZU9)\n  - [Cryptocurrency Engineering and Design - Spring 2018 - MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmas-s62-cryptocurrency-engineering-and-design-spring-2018\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [15.S12 Blockchain and Money, Fall 2018 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn)\n  - [Blockchain - Foundations and Use Cases](https:\u002F\u002Fwww.coursera.org\u002Flearn\u002Fblockchain-foundations-and-use-cases\u002Fhome\u002Fwelcome)\n- **Become Blockchain Developer**\n  - [Solidity for Beginners - Dapp University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgUq-aMMYeKf8nPqHrNqa3Iu) \n  - [Master Solidity - Dapp University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgVnWHv2_mkvJjn5HBOkde3g)\n  - [IPFS Inter Planetary File System  Dapp University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgWggD3tKfgwsIPXuIhorXZk)\n  - [Solidity, Blockchain, and Smart Contract Course – Beginner to Expert Python Tutorial - FreeCodingCamp](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=M576WGiDBdQ)\n  - [Web 3.0 - Build Realtime Decentralized applications](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgVV6ah1fo2IvlHk1kTCy6un)\n\n------------------------------\n\n### Misc\n\n- **HCI**\n  - [CS147 - Introduction to Human-Computer Interaction Design - Stanford](https:\u002F\u002Fhci.stanford.edu\u002Fcourses\u002Fcs147\u002F2015\u002Fau\u002Fcalendar.php)\n  - [CSEP 510 - Human Computer Interaction](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep510\u002F04wi\u002F)\n  - [Programming for Designers - COMP1400-T2 (2010) - UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9444191613E018CC)\n  - [08-763 Intro to HCI for Technology Executives - Fall 2015 - CMU](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%228bb9f417-9f60-4e00-84f6-4ef8e7425ae1%22&maxResults=150)\n  - [05-600 HCI Pro Seminar - Fall 2015 - CMU](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22d885fd87-1ba1-47a3-9bd2-c4bde55f9749%22&maxResults=150)\n- **Game Development**\n \t- [CS50's Introduction to Game Development](https:\u002F\u002Fwww.edx.org\u002Fcourse\u002Fcs50s-introduction-to-game-development)\n\t- [MIT CMS.611J Creating Video Games, Fall 2014](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fcomparative-media-studies-writing\u002Fcms-611j-creating-video-games-fall-2014\u002Flecture-videos\u002F)\n  - [MOOC - Beginning Game Programming with C# - Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F0a7ba7e62821e488a0061751fdb81f4298733bea)\n  - [Gatech ECE4795 GPU Programming for Video Games, Summer 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOunECWxELQQwayE8e3WjKPJsTGKknJ8w)\n- **Geospatial**\n  - [Introduction to Spatial Data Science, Autumn 2016, University of Chicago](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzREt6r1Nenkr2vtYgbP4hs44HO_s_qEO)\n  - [Spatial Regression Analysis, Spring 2017, University of Chicago](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzREt6r1Nenkk7x197-CKPFZ0BuAOCRGT)\n  - [Spatial Data Science, Autumn 2017, University of Chicago](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzREt6r1Nenlu-MBaxCRL2KZNk62n7o1g)\n  - [Introduction to Geographic Information Systems - IIT Roorkee](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F105107155\u002F)\n- [MOOC - Matlab - Coursera](https:\u002F\u002Fyoutu.be\u002F6iN56l7dEMY)\n- [Computing for Computer Scientists - University of Michigan](https:\u002F\u002Fc4cs.github.io)\n- [Linux System Administration Decal, Spring 2025, UC Berkeley](https:\u002F\u002Fdecal.ocf.berkeley.edu\u002F)\n- [Linux Implementation\u002FAdministration Practicum - Redhat by Tulio Llosa](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Flinux-implementation-administration\u002Fid430673915)\n- [Innovative Computing - Harvard University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE3E96113F544495A)\n- [Linux Programming & Scripting - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106113\u002F)\n- [Model Checking - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106136\u002F)\n- [Virtual Reality - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106138\u002F)\n- [Dependable Systems (SS 2014) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1005\u002F)\n- [Business Process Compliance (WT 2013\u002F14) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F979\u002F)\n- [Design Thinking for Digital Engineering (SS 2018) - Dr. Julia von Thienen - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1206\u002F)\n- [CS224w – Social Network Analysis – Autumn 2017 - Stanford University](http:\u002F\u002Fsnap.stanford.edu\u002Fclass\u002Fcs224w-videos-2017\u002F)\n- [The Missing Semester of Your CS Education](https:\u002F\u002Fmissing.csail.mit.edu\u002F)\n- [University of Crete, Computer Science video lectures (mostly Greek language lectures, very few 100% English-speaking courses). Very popular CS destination for European Erasmus students](https:\u002F\u002Fopencourses.uoc.gr\u002Fcourses\u002Fcourse\u002Findex.php?categoryid=28)\n- [Stanford EE274 I Data Compression: Theory and Applications I 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPj4uhbgUAaEKwNNak8xgkz)\n- [Probabilistic Methods - University of Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2BdWtDKMS6nRF72s3TOGyBqXwMVHYiLU)\n- [Free Probability Theory and Ramanujan Graphs - Spring 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-FpbJb6Ix_Npx7GSSxnD2BLrLtwkdwt4)\n- [Asymptotics and perturbation methods - Prof. Steven Strogatz](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5EH0ZJ7V0jV7kMYvPcZ7F9oaf_YAlfbI)\n- [ETH Zürich AI in the Sciences and Engineering](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJkYEExhe7rYFkBIB2U5pf_RWzYnFLj7r)\n- [Introduction to GIS Programming (Fall 2024) - Open Geospatial Solutions](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAxJ4-o7ZoPfb18kNe2luWX9xKg1233i9)\n- [Gatech Guitar Amplification and Effects, by Aaron Lanterman](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOunECWxELQS7JV_KeeTJJpgGjOftoaAH)\n- [Gatech ECE3084 Signals and Systems summer 2020, by Aaron Lanterman](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOunECWxELQRYwsuj4BL4Hu1nvj9dxRQ6)\n- [Gatech ECE4450 Analog Circuits for Music Synthesis spring 2021, by Aaron Lanterman](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOunECWxELQS5bMdWo9VhmZtsCjhjYNcV)\n- [UC Berkeley EE 120 Signals and Systems spring 2019, by Murat Arcak](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCFASN_5cR04KUST-G97bb-)\n- [Stanford EE 102 spring 1999, Introduction to Signals and Systems, by Stephen Boyd](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLpGHT1n4-mAvjbBio7D_qpIN4bZqOOOST)\n- [Stanford EE 376a winter 2011, Information Theory, by Thomas Cover](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002Fclassxteam\u002Fplaylists)\n- [MIT RES.6.007 Signals and Systems, 1987 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL41692B571DD0AF9B)\n- [MIT 9.19 Computational Psycholinguistics, 2023 - MIT](https:\u002F\u002Frlevy.github.io\u002F9.19-syllabus\u002Fsyllabus.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlp18pgkl6U_Dfv59jF-NlAW6dwqYKZim))\n- [MIT 21M.383 Computational Music Theory and Analysis, Spring 2023 - MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F21m-383-computational-music-theory-and-analysis-spring-2023\u002Fpages\u002Fabout-the-course-and-music21\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R))\n- [UCCS ECE4510\u002FECE5510 Feedback Control Systems, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE4510\u002Findex.html)\n- [UCCS ECE4520\u002FECE5520 Multivariable Control Systems I, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5520\u002Findex.html)\n- [UCCS ECE4530\u002FECE5530 Multivariable Control Systems II, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5530\u002Findex.html)\n- [UCCS ECE4540\u002FECE5540 Digital Control Systems, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5540\u002Findex.html)\n- [UCCS ECE4550\u002FECE5550 Applied Kalman Filtering, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5550\u002Findex.html)\n- [UCCS ECE4560\u002FECE5560 System Identification, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5560\u002Findex.html)\n- [UCCS ECE4570\u002FECE5570 Optimization for Systems and Control, by M. Scott Trimboli](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5570-NEW\u002Findex.html)\n- [UCCS ECE4580\u002FECE5580 Multivariable Control in the Frequency Domain, by M. Scott Trimboli](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5580\u002Findex.html)\n- [UCCS ECE4710\u002FECE5710 Modeling, Simulation, and Identification of Battery Dynamics, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5710\u002Findex.html)\n- [UCCS ECE4720\u002FECE5720 Battery Management and Control, by Gregory Plett](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5720\u002Findex.html)\n- [Purdue ME 597 Distributed Energy Resources Spring 2024, by Kevin J. Kircher](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcZDMdEnS08l_z5LVDQrEcyFrBsHlKVXd)\n- [Stanford AA228V\u002FCS238V Validation of Safety Critical Systems Winter 2025, by Sydney Michelle Katz](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOq1LMLI8U7djzDb8--xpaC)\n\n","\u003C!-- omit in toc -->\n# 包含视频讲座的计算机科学课程\n\n\u003C!-- omit in toc -->\n## 简介\n\n- 请查看[NOTES](https:\u002F\u002Fgithub.com\u002FDeveloper-Y\u002Fcs-video-courses\u002Fblob\u002Fmaster\u002FNOTES.md)，了解本列表的一般信息。\n- 请参阅[CONTRIBUTING.md](https:\u002F\u002Fgithub.com\u002FDeveloper-Y\u002Fcs-video-courses\u002Fblob\u002Fmaster\u002FCONTRIBUTING.md)，获取贡献指南。\n- 如有任何真实的问题，请随时提出；然而，我们注意到有些人会开空Issue来增加自己的GitHub贡献量。此类垃圾行为者将被封禁。\n- 欢迎大家贡献内容，请针对真正的学院或大学级别课程提交PR。请勿添加小型MOOC、基础教程或某些网站\u002F频道的广告链接。\n\n------------------------------\n\n目录\n\n------------------------------\n- [计算机科学导论](#introduction-to-computer-science)\n- [数据结构与算法](#data-structures-and-algorithms)\n- [系统编程](#systems-programming)\n  * [操作系统](#operating-systems)\n  * [分布式系统](#distributed-systems)\n  * [实时系统](#real-time-systems) \n- [数据库系统](#database-systems)\n- [软件工程](#software-engineering)\n  * [面向对象设计](#object-oriented-design)\n  * [软件工程](#software-engineering)\n  * [软件架构](#software-architecture)\n  * [并发编程](#concurrency)\n  * [移动应用开发](#mobile-application-development)\n- [人工智能](#artificial-intelligence)\n- [机器学习](#machine-learning)\n  * [机器学习导论](#introduction-to-machine-learning)\n  * [数据挖掘](#data-mining)\n  * [概率图模型](#probabilistic-graphical-modeling)\n  * [深度学习](#deep-learning)\n  * [强化学习](#reinforcement-learning)\n  * [高级机器学习](#advanced-machine-learning)\n  * [自然语言处理](#natural-language-processing)\n  * [生成式AI与大语言模型](#generative-ai-and-llms)\n  * [计算机视觉](#computer-vision)\n  * [时间序列分析](#time-series-analysis)\n  * [优化](#optimization)\n  * [无监督学习](#unsupervised-learning)\n  * [其他机器学习主题](#misc-machine-learning-topics)\n- [计算机网络](#computer-networks)\n- [计算机科学家的数学](#math-for-computer-scientist)\n- [Web编程与互联网技术](#web-programming-and-internet-technologies)\n- [理论计算机科学与编程语言](#theoretical-cs-and-programming-languages)\n- [嵌入式系统](#embedded-systems)\n- [实时系统评估](#real-time-system-evaluation)\n- [计算机组成与体系结构](#computer-organization-and-architecture)\n- [安全](#security)\n- [计算机图形学](#computer-graphics)\n- [图像处理与计算机视觉](#image-processing-and-computer-vision)\n- [计算物理](#computational-physics)\n- [计算生物学](#computational-biology)\n- [量子计算](#quantum-computing)\n- [机器人与控制](#robotics-and-control)\n- [计算金融](#computational-finance)\n- [网络科学](#network-science)\n- [区块链开发](#blockchain-development)\n- [杂项](#misc)\n\n\u003C!-- omit in toc -->\n## 课程\n\n------------------------------\n\n### 计算机科学导论\n- [COMP6991 - Rust编程 - 新南威尔士大学（2022年）](https:\u002F\u002Fcgi.cse.unsw.edu.au\u002F~cs6991\u002F22T2\u002F) | [视频播放列表](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGUxZeQTpJENZFOzGj-xUHOPuwpcCuIot)\n- [COMP1511 - 编程基础 - 新南威尔士大学（完整课程：讲座、实验、作业、练习、考试）](https:\u002F\u002Fcgi.cse.unsw.edu.au\u002F~cs1511\u002F25T2\u002F) | [视频播放列表](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlRElrOhPo9u_i-JpZUvGJCGI3j2CMWZs)\n- [CS 10 - 计算机之美与乐趣 - 2015年春季 - 丹·加西亚 - 加州大学伯克利分校 InfoCoBuild](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs10-spring2015-berkeley.html)\n- [6.0001 - Python中的计算机科学与程序设计导论 - MIT开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016\u002Fvideo_galleries\u002Flecture-videos\u002F)\n- [6.001 - 计算机程序的结构与解释，MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-001-structure-and-interpretation-of-computer-programs-spring-2005\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [计算思维导论 - MIT](https:\u002F\u002Fcomputationalthinking.mit.edu\u002FFall22\u002F)\n- [CS 50 - 哈佛大学计算机科学导论](https:\u002F\u002Fonline-learning.harvard.edu\u002Fcourse\u002Fcs50-introduction-computer-science) ([cs50.tv](http:\u002F\u002Fcs50.tv\u002F2017\u002Ffall\u002F))\n- [CS50R - R语言编程导论](https:\u002F\u002Fcs50.harvard.edu\u002Fr\u002F2024\u002F) ([讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhQjrBD2T382yfNp_-xzX244d-O9W6YmD))\n- [CS50：Python中的计算机科学导论 - 哈佛大学（大卫·J·马兰）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V)\n- [CS 61A - 计算机程序的结构与解释 [Python]，加州大学伯克利分校](https:\u002F\u002Fcs61a.org\u002F)\n- [CPSC 110 - 系统化程序设计 [Racket]，不列颠哥伦比亚大学](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC7dEjIUwSxSNcW4PqNRQW8w\u002Fplaylists?view=1&flow=grid&sort=da)\n- [CS50的技术理解](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhQjrBD2T382p8amnvUp1rws1p7n7gJ2p)\n- [CSE 142 计算机编程I（Java编程），2016年春季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse142\u002F16sp\u002Fcalendar.shtml)\n- [CS 1301 计算机导论 - 佐治亚理工学院](https:\u002F\u002Fwww.cc.gatech.edu\u002Fclasses\u002FAY2016\u002Fcs1301c_fall\u002F)\n- [CS 106A - 编程方法学，斯坦福大学](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS106A) ([讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL84A56BC7F4A1F852))\n- [CS 106B - 编程抽象，斯坦福大学](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS106B) ([讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnfg8b9vdpLn9exZweTJx44CII1bYczuk))\n- [CS 106L - 标准C++编程](https:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs106l\u002F)（[讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCgD3ws8aVdolCexlz8f3U-RROA0s5jWA)）\n- [CS 106X - C++中的编程抽象](http:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs106x\u002F)（[讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrivl8gTKLcpIJ-ktHCxMEgWOn8LawYhb)）\n- [CS 107 - 编程范式，斯坦福大学](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS107)\n- [CmSc 150 - 使用街机游戏进行编程入门，辛普森学院](http:\u002F\u002FProgramArcadeGames.com)\n- [IN2377 - C++编程概念（2023年冬季），慕尼黑工业大学](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2023&term=W&slug=cpp&view=3)（[2022年冬季](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2022&term=W&slug=cpp&view=3)）（[2022年夏季](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2022&term=S&slug=ccppprog&view=3)）（[2021年夏季](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2021&term=S&slug=ccppprog&view=3)）\n- [IN1503 - 慕尼黑工业大学高级C++编程](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2023&term=W&slug=AdvProg&view=3)\n- [LINFO 1104 - 计算机编程范式，彼得·范·罗伊，比利时鲁汶天主教大学 - EdX](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLw454N-VXALSIzIe_eL5U8L4S68v2X_ak)\n- [FP 101x - 函数式编程导论，代尔夫特理工大学](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fintroduction-to-functional-programming\u002F)\n- [问题解决与编程导论 - 坎普尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104074\u002F)\n- [C语言编程导论 - 坎普尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104128\u002F)\n- [C++编程 - 卡拉格布尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105151\u002F)\n- [2016年秋季Python训练营 - 伯克利数据科学研究所（BIDS）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKW2Azk23ZtSeBcvJi0JnL7PapedOvwz9)\n- [CS 101 - 计算机科学导论 - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPmjFQ2w9j05WDX8Jtg5RXWW)\n- [6.00SC - 计算机科学与编程导论（2011年春季） - MIT开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-00sc-introduction-to-computer-science-and-programming-spring-2011\u002F)\n- [6.00 - 计算机科学与编程导论（2008年秋季） - MIT开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-00-introduction-to-computer-science-and-programming-fall-2008\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [6.01SC - 电气工程与计算机科学导论I - MIT开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011\u002F)\n- [现代C++课程（2018年） - 波恩大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGR50iIOtO36nK6aNPtVq98C)\n- [现代C++（讲座与教程，2020年，维佐和施塔赫尼斯） - 波恩大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGRM59sr3nSL8BmeMZR9GCIA)\n- [威斯康星大学麦迪逊分校 CS 368 C++面向Java程序员，2020年秋季，迈克尔·多舍尔](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXY5xcFHqg33srpQjC7q7jqITLxcErPCM)\n- [威斯康星大学麦迪逊分校 CS 354 机器组织与编程，2020年、2021年，迈克尔·多舍尔](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXY5xcFHqg32r5MZ-HfpA2Tr8Ke2lDYwI)\n- [康奈尔大学 CS 1110 使用Python的计算机导论，2020年秋季，沃克·怀特](https:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs1110\u002F2020fa\u002Flessons\u002F)（[讲座视频](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FCS+1110+Fall+2020\u002F179890731)）\n- [康奈尔大学 ECE 4960 计算与软件工程，2017年春季，埃德温·坎](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcVqWUh-bHiFN2CY1KMTw0-L39iDXlemi)\n\n------------------------------\n\n### 数据结构与算法\n\n- [ECS 36C - 数据结构与算法（C++）- 2020年春季 - Joël Porquet-Lupine - 加州大学戴维斯分校](https:\u002F\u002Flupteach.gitlab.io\u002Fcourses\u002Fucd-ecs36c\u002Fonline\u002F)\n- [Python编程与数据结构，2021-2022学年第一学期 - Madhavan Mukund教授，CMI](https:\u002F\u002Fwww.cmi.ac.in\u002F~madhavan\u002Fcourses\u002Fpython2021sep\u002F)\n- [图算法 - Robert Sedgewick - 普林斯顿大学](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=0qF7tPSQdCg)\n- [EECS 477 - 算法导论，2023年冬季，密歇根大学](https:\u002F\u002Fsites.google.com\u002Fsite\u002Fthsaranurak\u002Fteaching\u002Fintro-algo)\n- [EECS 498 \u002F 598 - 高级图算法：基于图分解的图算法，2025年秋季，密歇根大学](https:\u002F\u002Fsites.google.com\u002Fsite\u002Fthsaranurak\u002Fteaching\u002FGraphDecomp25)\n- [EECS 498 \u002F 598 - 高级图算法：扩张子图与快速图算法，2021年秋季，密歇根大学](https:\u002F\u002Fsites.google.com\u002Fsite\u002Fthsaranurak\u002Fteaching\u002FExpander)\n- [6.006 - 算法导论，MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-006-introduction-to-algorithms-spring-2020\u002Fvideo_galleries\u002Flecture-videos\u002F)\n- [MIT 6.006 算法导论，2020年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY)\n- [算法：设计与分析1 - 斯坦福大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXFMmlk03Dt7Q0xr1PIAriY5623cKiH7V)\n- [算法：设计与分析2 - 斯坦福大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXFMmlk03Dt5EMI2s2WQBsLsZl7A5HEK6)\n- [COS 226 算法，YouTube，普林斯顿大学 - Robert Sedgewick和Kevin Wayne](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=1QZDe28peZk&list=PLRdD1c6QbAqJn0606RlOR6T3yUqFWKwmX&index=1)\n- [CSE 331 算法设计与分析导论，纽约州立大学布法罗分校，2017年秋季](http:\u002F\u002Fwww-student.cse.buffalo.edu\u002F~atri\u002Fcse331\u002Ffall17\u002Findex.html) ([讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZBCR-EGqNpoiHeO17FlLADJ38Kb3EiPU)) ([作业讲解](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZBCR-EGqNpoVyQCIUDHiXnL-zdFD_ixk))\n- [CSE 373 - 算法分析，石溪分校 - Skiena教授](http:\u002F\u002Fwww.cs.sunysb.edu\u002F~algorith\u002Fvideo-lectures\u002F)\n- [COP 3530 数据结构与算法，Sahni教授，佛罗里达大学](http:\u002F\u002Fwww.cise.ufl.edu\u002F~sahni\u002Fcop3530\u002F) ([视频](http:\u002F\u002Fwww.cise.ufl.edu\u002Facademics\u002Fcourses\u002Fpreview\u002Fcop3530sahni\u002F))\n- [CS225 - 数据结构 - 伊利诺伊大学厄巴纳-香槟分校](https:\u002F\u002Fcs.illinois.edu\u002Fcourses\u002Fprofile\u002FCS225)([视频讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRdSp8jtJxBqG3KNQPKKB-0Z2hh9omoDo))\n- [CS2 - 数据结构与算法，Sim-Mautner - 新南威尔士大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLsPlf0OhSLIqfpyxmomKcIcrht5K3IUOr)\n- [数据结构 - 佩珀代因大学](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdata-structures\u002Fid546468797)\n- [CS 161 - 算法设计与分析，Tim Roughgarden教授，斯坦福大学](http:\u002F\u002Fopenclassroom.stanford.edu\u002FMainFolder\u002FCoursePage.php?course=IntroToAlgorithms)\n- [6.046J - 算法导论 - 2005年秋季，MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-046j-introduction-to-algorithms-sma-5503-fall-2005\u002F)\n- [算法导论（2020年春季），MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-006-introduction-to-algorithms-spring-2020\u002F)\n- [6.046 - 算法设计与分析，2015年春季 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-046j-design-and-analysis-of-algorithms-spring-2015\u002Flecture-videos\u002F)\n- [CS 473 - 算法 - 伊利诺伊大学厄巴纳-香槟分校](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs473\u002Fsp2016\u002Flectures.html) ([笔记 - Jeff Erickson](http:\u002F\u002Fjeffe.cs.illinois.edu\u002Fteaching\u002Falgorithms\u002F)) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0v718LJg-78SFq81e4kJh_rS8XbKZ7Kn))\n- [COMP300E - 编程挑战，Skiena教授，香港科技大学 - 2009年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL07B3F10B48592010)\n- [16s-4102 - 算法，弗吉尼亚大学](http:\u002F\u002Fwww.cs.virginia.edu\u002F~shelat\u002F16s-4102\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCxXYk53cSZof2bR_Ax0uJYQ\u002Fvideos))\n- [CS 61B - 数据结构（Java）- 加州大学伯克利分校](https:\u002F\u002Ffa25.datastructur.es\u002F)([2022年讨论](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=gG4--V_PpEk&list=PLjuu7kFWxFtZBm-5GifiVpqdAxeW7Hsax))\n- [CS 170 算法 - UCBerkeley](https:\u002F\u002Fcs170.org\u002F) [2019年秋季，YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKD4TU_QsvJI0G7QnrIS_7Wn) [2018年秋季，YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fd5P-8IQwMY&list=PLkFD6_40KJIx8lWWbE-Uk069aZ1R-W-VU&index=2&t=0s) [2018年，哔哩哔哩](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002Fav43955743\u002F?p=1) [2013年，哔哩哔哩](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002Fav26670685\u002F)\n- [CS 159 数据驱动的算法设计 - 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2 - 坎普尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104019\u002F)\n- [并行算法 - 坎普尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104120\u002F)\n- [图论 - 印度科学研究所班加罗尔](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108054\u002F)\n- [数据结构 - mycodeschool](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=92S4zgXN17o&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)\n- [算法博弈论，2020\u002F21年冬季 - 波恩大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyzcvvgje7aD_DjpmhFzQ9DVS8zzhrgp6)\n- [NETS 4120：算法博弈论，2023年春季 - 宾夕法尼亚大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlIlhe_rS4U1MfB0NzG4IWb7CM0xKkx4d)\n- [博弈论与机制设计导论 - 坎普尔印度理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3eEm6KzZ3lF2TlVOnPyJHyGWJhUogn-D)\n- [15-850 高级算法 - 卡内基梅隆大学，2023年春季](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%2253c58248-7fd4-4f71-8774-af85013a570a%22&page=1)\n- [CS 270. 组合算法与数据结构，2021年春季](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~prasad\u002Fspring2021.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfkeJ2f4i0AfWApBP8X8YvQfN4WbRQTC3))\n- [卡内基梅隆大学15 850 高级算法，2023年春季，由Anupam Gupta主持](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%2253c58248-7fd4-4f71-8774-af85013a570a%22&page=1)\n- [加州大学伯克利分校CS 294-165 大数据草图算法，2020年秋季，由Jelani Nelson主持](https:\u002F\u002Fwww.sketchingbigdata.org\u002Ffall20\u002Flec\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCdx1AVD-CAzNk5uXDu9wIA))\n- [UIUC CS 498 ABD \u002F CS 598 CSC 大数据算法，2020年秋季，由Chandra Chekuri主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_OA8_wY3nnSDLOSWr3PgYa)\n- [2021年春季的数据科学算法，由Anil Maheshwari主持](https:\u002F\u002Fpeople.scs.carleton.ca\u002F~maheshwa\u002Fcourses\u002FADS\u002FADS-S20.html)\n- [卡内基梅隆大学15 859 大数据算法，2020年秋季，由David Woodruff主持](http:\u002F\u002Fwww.cs.cmu.edu\u002F~dwoodruf\u002Fteaching\u002F15859-fall20\u002Findex.html)\n- [CO 642 图论 - 滑铁卢大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2BdWtDKMS6mplieDd_vls0TBX9Fq2jht)\n- [COMS W4241 数值算法，2006年春季，由Henryk Wozniakowski主持 - 哥伦比亚大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem98vm26lNUJ0TV0-EFrcUJb)\n- [波恩算法与不确定性，2021年夏季，由Thomas Kesselheim主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyzcvvgje7aDZRFMJZgaVgOW5t5KLvD1-)\n- [哈佛信息论，2022年，由Gregory Falkovich主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDEN2FPNHwVZKAFqfFl1b_NNAESTJwV9o)\n- [数学510 - 线性规划和网络流 - 科罗拉多州立大学](https:\u002F\u002Fwww.math.colostate.edu\u002F~adams\u002Fteaching\u002Fmath510fall2020\u002F)\n- [LINFO 2266 高级优化算法，2021年，由Pierre Schaus主持 - 鲁汶天主教大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-wgYnJl5yMswlNkve_8oGU)\n- [MIT 6.5210 \u002F 6.854 \u002F 18.415 高级算法，2013、2020、2021、2022年，由David Karger主持](https:\u002F\u002F6.5210.csail.mit.edu\u002Fmaterials) ([2016年春季，由Ankur Moitra主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c))\n- [卡内基梅隆大学10 801 高级优化和随机化算法，2014年春季，由Suvrit Sra和Alex Smola主持](https:\u002F\u002Fwww.cs.cmu.edu\u002F~suvrit\u002Fteach\u002F)\n- [普渡大学CS 381 基础算法，由Kent Quanrud主持](https:\u002F\u002Ffas22.s3.amazonaws.com\u002Ffas22-book.pdf) ([2022年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gb6P9jG0-40AgZapdGGXPTD))\n- [普渡大学CS 390 ATA 高级基础算法，由Kent Quanrud主持](https:\u002F\u002Ffas25.s3.amazonaws.com\u002Ffas25.pdf) ([2025年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gYOC4uogZcu54XKq57TVEs3))\n- [普渡大学CS 580 研究生算法，由Kent Quanrud主持](https:\u002F\u002Ffas23.s3.amazonaws.com\u002Ffas23.pdf) ([2023年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gYAwo5Tg4kP91ifXPF_FIQ1)) ([2024年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gaGD6jZLeuLHTRW0ISFn6AU))\n- [普渡大学CS 588 随机化算法，由Kent Quanrud主持](https:\u002F\u002Fras24.s3.amazonaws.com\u002Fras24.pdf) ([2022年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gbjvT1yDQkwRU9UXahd0BP1)) ([2024年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0YFU3y0Z_gZxc-FeLhbOFS99ZzlWl4He))\n- [圣克鲁斯加州大学CSE 101 数据结构与算法导论，2022年秋季，由Seshadhri Comandur主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fY1BCDxdiUSwkRHjnNI73G6) ([2020年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fZGffr1_MqCoaC5nUVtQIWz))\n- [圣克鲁斯加州大学CSE 201 算法分析，2022年冬季，由Seshadhri Comandur主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fYmOmrAAN-g1d4nFB2uz6tU)\n- [圣克鲁斯加州大学CSE 202 组合算法，2021年春季，由Seshadhri Comandur主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fbn9zAJfvJoQF1nc50KQR9g)\n- [圣克鲁斯加州大学CSE 104、204 计算复杂性，2022年春季，由Seshadhri Comandur主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fYMPFnJeVZ0kt4KPwWcbF0o) ([2020年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0fas529oXenovd3MyafNQbKl))\n- [圣克鲁斯加州大学CSE 290A 随机化算法，2020年春季，由Seshadhri Comandur主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOQjlWvnI0faRpH2oJcyW4CuM5Clt8a2n)\n- [马里兰大学CMSC351 算法导论，由Mohammad Hajiaghayi主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEJLQ9RubHk2zFuddXTD5_ac)\n- [马里兰大学CMSC858F 网络算法与近似，由Mohammad Hajiaghayi主持](https:\u002F\u002Fwww.cs.umd.edu\u002F~hajiagha\u002FNetDsgn11\u002FcourseNetworkDesign.html) ([YouTube播放列表](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEIeJxOlTuXveAE5eY7WOYB9))\n- [马里兰大学CMSC858M 算法下界：硬性证明的乐趣，由Mohammad Hajiaghayi主持](https:\u002F\u002Fwww.cs.umd.edu\u002F~hajiagha\u002FALB19\u002FALB19.html) ([YouTube播放列表](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEKwynDkSTacgJGivjoB2ksn))\n- [马里兰大学UMD DATA602 \u002F MSML602 数据科学原理，2024年春季，由Mohammad Hajiaghayi主持](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx7SjCaKZzEIzzVsO03ozPOCP7Yc-LNq_)\n- [大数据算法（2020年秋季）- Saket Saurabh](https:\u002F\u002Fsites.google.com\u002Fview\u002Fsakethome\u002Fteaching\u002Falgorithms-for-big-data-fall-2020)\n- [CS498ABD - 大数据算法 - UIUC，2020年秋季](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs498abd\u002Ffa2020\u002Fschedule.html)\n- [高级数据结构](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN-ShipRKQ0h6jIphD381pHdQtj_APRM8)\n- [CS60025 算法博弈论 - IIT KGP - 2020年冬季](http:\u002F\u002Fcse.iitkgp.ac.in\u002F~palash\u002FCourses\u002F2020AlgorithmicGameTheory\u002Fagt2020.html)\n- [CS60083 参数化算法 - IIT KGP](http:\u002F\u002Fcse.iitkgp.ac.in\u002F~palash\u002FCourses\u002F2020ParameterizedAlgo\u002FparamAlgo.html)\n- [参数化复杂度](https:\u002F\u002Fsites.google.com\u002Fview\u002Fsakethome\u002Fteaching\u002Fparameterized-complexity)\n- [结构图论 - 马德拉斯印度理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtDHG-2klXcEedB8L-jjvb17OIUZbF3gW)\n- [信息论 - 印度科学研究所班加罗尔](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F108\u002F108108168\u002F)\n\n------------------------------\n\n### 系统编程\n- [COMP1521 - 计算机系统基础（2025）- UNSW（完整课程：官网 + 讲座、实验、作业、练习、考试、视频播放列表）](https:\u002F\u002Fcgi.cse.unsw.edu.au\u002F~cs1521\u002F25T2\u002F) | [观看讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUsPZdCcmwELH7BDprCzDSN40futwJGYb) \n- [15-213 计算机系统导论，2015年秋季 - CMU](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22b96d90ae-9871-4fae-91e2-b1627b43e25e%22&maxResults=150)\n- [计算机系统：程序员视角](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyboo2CCDSWnhzzzzDQ3OBPrRiIjl-aIE)\n- [CS361 - 计算机系统 - UIC](https:\u002F\u002Fwww.cs.uic.edu\u002F~ckanich\u002Fcs361\u002Ff20\u002F)\n- [CS 3650 - 计算机系统 - 2020年秋季 - Nat Tuck - NEU](https:\u002F\u002Fweb.archive.org\u002Fweb\u002F20210423030302\u002Fhttps:\u002F\u002Fntuck-neu.site\u002F2020-09\u002Fcs3650\u002F) ([讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtg_A_3rzLAtBuwQp6mA3WveYw9Q7GzIZ))\n- [CS 4400 – 计算机系统 2016年秋季 - UoUtah](https:\u002F\u002Fwww.eng.utah.edu\u002F~cs4400\u002F)\n- [系统 - Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fsystems\u002Findex.php?view=cw)\n- [CS110: 计算机系统原理 - 斯坦福大学](https:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Farchive\u002Fcs\u002Fcs110\u002Fcs110.1202\u002F)\n- #### **操作系统**\n  - [Gatech CS6200 操作系统导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTsf9UeqkReZbK7xqIYn_mXmsQZIb011T)\n  - [APS 105 - 计算机基础 - 2025年冬季 - Jon Eyolfson - 多伦多大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnm3ycdZKCg5Ex6DeuJhEWaG) ([2024年冬季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnma-0Z_0DZ3nkWKpZN7HGbw))\n  - [ECS 150 - 操作系统与系统编程 - 2020年秋季 - Joël Porquet-Lupine - UC Davis](https:\u002F\u002Flupteach.gitlab.io\u002Fcourses\u002Fucd-ecs150\u002Fonline\u002F)\n  - [ECE 344 - 操作系统 - 2024年秋季 - Jon Eyolfson - 多伦多大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnntWWNJ64E7wC4KhsEwHWxB) ([2024年秋季第2组](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnlW3S8i4gSV9I_8qGX8xwtr)) ([2023年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnngd9q965kViUzPqylDQ37M)) ([2022年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnn-uwJeiOeWJctHC3MCORw9))\n  - [ECE 353 - 系统软件 - 2025年冬季 - Jon Eyolfson - 多伦多大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnlUsOvAOhMs9yCHnH0Vs9w2) ([2024年冬季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnnfpqfSzQVbj4JWPAn1ByiF)) ([2023年冬季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnl0SZ2zsgyVjU9NDD_Rn-re))\n  - [ECE 454 - 计算机系统编程 - 2024年秋季 - Jon Eyolfson - 多伦多大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLunILarQwxnlzwF1oYp2CJc1rFNldOisZ)\n  - [CS124 操作系统 - 加州理工学院，2018年秋季 - Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3swII2vlVoVbav6FV98pidq6BsTN4u56)\n  - [CS 162 操作系统与系统编程，2015年春季 - 加州大学伯克利分校](https:\u002F\u002Farchive.org\u002Fdetails\u002Fucberkeley-webcast-PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c?sort=titleSorter) ([2020年秋季 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF2K2xZjNEf97A_uBCwEl61sdxWVP7VWC))\n  - [CS 4414 - 操作系统，弗吉尼亚大学（rust-class）](http:\u002F\u002Frust-class.org\u002Fpages\u002Fclasses.html)\n  - [CS 4414 操作系统，2018年秋季 - 弗吉尼亚大学](https:\u002F\u002Fwww.cs.virginia.edu\u002F~cr4bd\u002F4414\u002FF2018\u002Fschedule.html)\n  - [CSE 421\u002F521 - 操作系统导论，纽约州立大学布法罗分校，2016年春季](https:\u002F\u002Fwww.ops-class.org\u002Fcourses\u002Fbuffalo\u002FCSE421_Spring2016\u002F) ([讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6LEE8y2Jp-kbEcVR2W3vfx0Pdca0BD3)) ([2016年的辅导课](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6LEE8y2Jp_YJn8wu9aJTPOgeWqiaJDF)) ([作业讲解](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6LEE8y2Jp9PC8fyzc2meL4XvrVSyP8O))\n  - [CS 377 - 操作系统，2016年秋季 - Umass OS](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacuG5pysFbDTmsCRGWsMW_PzIOpXnckw)\n  - [CS 577 - 操作系统，2020年春季 - Umass OS](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacuG5pysFbB2_z9EkSfQIjq3yNzy8igs)\n  - [6.828 - 操作系统工程 [2014年秋季]](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfciLKR3SgqNJKKIKUliWoNBBH1VHL3AP)\n  - [6.S081 - 操作系统工程 [2020年秋季]](https:\u002F\u002Fpdos.csail.mit.edu\u002F6.828\u002F2020\u002Fschedule.html)\n  - [CSE 30341 - 操作系统，2008年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAB7D5CA7E262B0E2)\n  - [CSEP 551 操作系统，2014年秋季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep551\u002F14au\u002Fvideo\u002F)\n  - [操作系统导论 - 印度理工学院马德拉斯分院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106144\u002F)\n  - [CS194 高级操作系统结构与实现，2013年春季 InfoCoBuild，加州大学伯克利分校](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs194-spring2013-berkeley.html)\n  - [CSE 60641 - 研究生操作系统，2008年秋季](https:\u002F\u002Fwww.youtube.com\u002Fview_play_list?p=22B10D854588E20C)\n  - [UNIX环境下的高级编程](https:\u002F\u002Fstevens.netmeister.org\u002F631\u002F)\n  - [操作系统 - 印度理工学院马德拉斯分院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBYcwlZ7GPCBzbowmiiF4BYR)\n- #### **分布式系统**\n  - [CS 677 - 分布式操作系统，2024年春季 - Umass OS](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacuG5pysFbBpWHfKUU9Dfdk8RmQ7B9EH)\n  - [CS 436 - 分布式计算机系统 - U Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLawkBQ15NDEkDJ5IyLIJUTZ1rRM9YQq6N)\n  - [6.824 - 分布式系统，2015年春季 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkcQbKbegkMqiWf7nF8apfMRL4P4sw8UL)\n  - [6.824 分布式系统 - 2020年春季 - MIT](https:\u002F\u002Fpdos.csail.mit.edu\u002F6.824\u002Fschedule.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrw6a1wE39_tb2fErI4-WkMbsvGQk9_UB))\n  - [分布式系统系列讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)\n  - [分布式算法，https:\u002F\u002Fcanvas.instructure.com\u002Fcourses\u002F902299](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL700757A5D4B3F368)\n  - [CSEP 552 - PMP 分布式系统，2013年春季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep552\u002F13sp\u002F) ([视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep552\u002F13sp\u002Fvideo\u002F))\n  - [CSE 490H - 可扩展系统：大型集群的设计、实现和使用，2008年秋季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse490h\u002F08au\u002Flectures.htm) ([视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse490h\u002F08au\u002Fvideo.htm))\n  - [MOOC - 云计算概念 - UIUC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFd87qVsaLhOkTLvfp6MC94iFa_1c9wrU)\n  - [分布式系统（Prof. Pallab Dasgupta）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUJ7JmcrTifBROWODSG8wgyl20XgBuE-N)\n  - [EdX KTHx ID2203 可靠的分布式算法](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLx3mQFFeHPjndmQ0iP9j6C58b90hqGa0X)\n  - [分布式数据管理 - 德国布伦瑞克工业大学](http:\u002F\u002Fwww.ifis.cs.tu-bs.de\u002Fteaching\u002Fss-15\u002Fddm)\n  - [信息检索与网络搜索引擎 - 德国布伦瑞克工业大学](http:\u002F\u002Fwww.ifis.cs.tu-bs.de\u002Fteaching\u002Fws-1516\u002FIRWS)\n  - [中间件与分布式系统（2009\u002F10学年） - Dr. Martin von Löwis - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F729\u002F)\n  - [CSE 138 - 分布式系统 - UC Santa Cruz，2020年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNPUF5QyWU8O0Wd8QDh9KaM1ggsxspJ31) ([2021年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNPUF5QyWU8PydLG2cIJrCvnn5I_exhYx))\n  - [CMU 15 440 \u002F 640 分布式系统，2022年春季，由 Mahadev Satyanarayanan 和 Padmanabhan Pillai 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAp30J9kcVW9jPzFC7Otpol)\n  - [UNC Comp533 - 分布式系统，2020年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLH5XTBxCO2hzgww9p5sew30lx3ngJsxcB)\n  - [Brown CSCI 1380 分布式计算机系统，2016年春季，由 Tom Doeppner 和 Rodrigo Fonseca 主持](https:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs138\u002Fs16\u002Fsyllabus.html)\n  - [分布式系统系列讲座 - Martin Kleppmann](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)\n  - [分布式算法 - Jukka Suomela](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2RY7P3JxZN8g9hFCasNqzuDhZbIbAj54)\n  - [并行计算机编程 - Jukka Suomela](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2RY7P3JxZN-Pz1nwvnoJ9uEHmOmv4jmi)\n  - [Gatech CS7210 分布式计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTsf9UeqkReZwDtqm1WePRLlXCnh1hPQt)\n- #### **实时系统**\n  - [CPCS 663 - 实时系统：视频资料 - TAMU](http:\u002F\u002Ffaculty.cs.tamu.edu\u002Fbettati\u002FCourses\u002F663\u002FVideo\u002Fpresentation.html)\n  - [实时系统 - 印度理工学院卡拉格布尔分院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105036\u002F)\n- [6.172 软件系统的性能工程 - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-172-performance-engineering-of-software-systems-fall-2018\u002F)\n- [计算机系统的性能评估 - 印度理工学院马德拉斯分院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106048\u002F)\n- [存储系统 - 印度科学研究所班加罗尔分院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108058\u002F)\n- [MAP6264 - 排队论 - FAU](http:\u002F\u002Fwww.cse.fau.edu\u002F~bob\u002Fcourses\u002Fmap6264\u002F)（[视频讲座](https:\u002F\u002Fvimeo.com\u002Falbum\u002F171324\u002F））\n- [EE 380 计算机系统研讨会 - 斯坦福大学](http:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fee380\u002F)（[讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu)）\n\n------------------------------\n\n\n\n### 数据库系统\n\n- [CMPSC 431W 数据库管理系统，2015年秋季 - 宾夕法尼亚州立大学](http:\u002F\u002Fwww.cse.psu.edu\u002F~wul2\u002Fcmpsc431w\u002F) [讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLstRzn3gXZMdXqAiVJ1NN2CoyXHqma7pQ)\n- [CS121 - 关系数据库系统导论，2016年秋季 - 加州理工学院](http:\u002F\u002Fusers.cms.caltech.edu\u002F~donnie\u002Fcs121\u002F)\n- [CS 5530 - 数据库系统，2016年春季 - 犹他大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrercQNP9tTsjjPdgRVYvC7)\n- [分布式数据管理（WT 2018\u002F19）- 波茨坦大学HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1224\u002F)\n- [慕课 - 斯坦福大学数据库课程Dbclass](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6hGtHedy2Z4EkgY76QOcueU8lAC4o6c3)\n- [CSEP 544，数据库管理系统，2015年秋季 - 华盛顿大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTPQEx-31JXjQYrUKvAjUTWgCYluHGs_L)\n- [数据库设计 - 马德拉斯印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106093\u002F)\n- [数据库系统基础 - 坎普尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104135\u002F)\n- [数据库管理原理，Bart Baesens](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdQddgMBv5zEhlpqdiUcf9aTNEtmESgyl)\n- [FIT9003 数据库系统设计 - 莫纳什大学](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fpodcast\u002Ffit9003-database-systems-design\u002Fid306569364)\n- [15-445 - 数据库系统导论，卡内基梅隆大学](https:\u002F\u002F15445.courses.cs.cmu.edu\u002Ffall2025\u002F) ([YouTube-2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjYutVzTeAds8xUt1rcmyT7x)), ([YouTube-2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXja3hgmuwhf89qboV1kOxMx7)),([YouTube-2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjbohkNBWQs_otTrBTrjyohi)), ([YouTube-2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjZaHA6QcxDfJ0SIWBzQFKEG)), ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSE8ODhjZXjaKScG3l0nuOiDTTqpfnWFf)),([YouTube-2023](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjbj8BMuIrRcacnQh20hmY9g&si=R7F_J9zbXsG07PjR)),([YouTube-2024](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq&si=H-wfgjoLz6ifhZqS)),([YouTube-2025](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYMAgsGH-GtY5rJYZ6zjsd5&si=KKXgy16Zm20utGyH))\n- [15-721 - 高级数据库系统，卡内基梅隆大学](http:\u002F\u002F15721.courses.cs.cmu.edu\u002Fspring2024) ([YouTube-2024](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYa_zX-KeMJui7pcN1rIaIJ&si=J9cH2uZ0pFUu8q6f), [YouTube-2023](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjYzlLMbX3cR0sxWnRM7CLFn&si=O78E7wsQlVhgwE_u), [YouTube-2022](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLSE8ODhjZXjasmrEd2_Yi1deeE360zv5O&si=DsDfVhDp6j0n981J))\n- [CS122 - 关系数据库系统实现，2014-2015年冬季 - 加州理工学院](http:\u002F\u002Fusers.cms.caltech.edu\u002F~donnie\u002Fcs122\u002F)\n- [CS 186 - 数据库系统，加州大学伯克利分校，2015年春季](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs186-spring2015-berkeley.html)\n- [CS 6530 - 研究生级别的数据库系统，2016年秋季，犹他大学](https:\u002F\u002Fwww.cs.utah.edu\u002F~lifeifei\u002Fcs6530\u002F) ([讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCqwHUcieMrytP453Ep0y6eI))\n- [6.830\u002F6.814 - 数据库系统，2014年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfciLKR3SgqOxCy1TIXXyfTqKzX2enDjK)\n- [信息学1 - 数据与分析，2014\u002F15 - 爱丁堡大学](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Fda.htm)\n- [数据库管理系统，Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fdatabases\u002Findex.php?view=cw)\n- [D4M - 数据库上的信号处理](https:\u002F\u002Focw.mit.edu\u002Fresources\u002Fres-ll-005-d4m-signal-processing-on-databases-fall-2012\u002F)\n- [内存中数据管理（2013）Prof. Hasso Plattner - HPI](https:\u002F\u002Fopen.hpi.de\u002Fcourses\u002Fimdb2013\u002Fitems\u002F72j6pftms3dOSunM98JhfW)\n- [分布式数据管理（WT 2019\u002F20）- Dr. Thorsten Papenbrock - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1285\u002F)\n- [CS122d - NoSQL 数据管理（2021年春季）- Prof. Mike Carey - UC Irvine](https:\u002F\u002Fuci.yuja.com\u002FV\u002FPlayList?node=9933576&a=1583628376&autoplay=1)\n\n------------------------------\n\n### 软件工程\n\n- #### **面向对象设计**\n  - [ECE 462 使用 C++ 和 Java 的面向对象编程 - 普渡大学](https:\u002F\u002Fengineering.purdue.edu\u002FOOSD\u002FF2008\u002FF2008.html)\n  - [面向对象程序设计与软件工程 - Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fjava\u002Findex.php?view=cw)\n  - [OOSE - 面向对象软件工程，Tim Lethbridge 博士](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6iDJCG2nkhfNlig8NY5ePPfGvtQX6yLa)\n  - [面向对象系统分析与设计（变化世界中的系统分析与设计）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6XklZATqYx9dj72MKG6wLYjljeB2odra)\n  - [CS 251 - 中级软件设计（C++ 版）- 范德堡大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ9NgFYEMxp4ZsvD10uXmClGnukcu3Uff)\n  - [OOSE - 使用 UML 和 Java 进行软件开发](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJ9pm_Rc9HesnkwKlal_buSIHA-jTZMpO)\n  - [面向对象分析与设计 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105153\u002F)\n  - [CS3 - 计算机中的设计 - Richard Buckland UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0C5D85DBA20E685C)\n  - [信息学 1 - 面向对象编程 2014\u002F15 - 爱丁堡大学](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Finf1op.htm)\n  - [面向对象和组件的软件工程 2015\u002F16 - 爱丁堡大学](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Fseoc.htm)\n- #### **软件工程**\n  - [计算机科学 169 - 软件工程 - 2015 年春季 - 加州大学伯克利分校](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLVEFwJhglgHJQEQ6RjMMjcclix94gp1k2)\n  - [计算机科学 169 - 软件工程 - 2019 年秋季 - 加州大学伯克利分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIxCKgzL0uysjsAtfY3JawLS)\n  - [CS 5150 - 软件工程，2014 年秋季 - 康奈尔大学](http:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs5150\u002F2014fa\u002Fmaterials.html)\n  - [服务设计与工程导论 - 意大利特伦托大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLBdajHWwi0JCn87QuFT3e58mekU0-6WUT)\n  - [CS 164 软件工程 - 哈佛大学](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=3zdfCR6c8vw&list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS)\n  - [系统分析与设计 - 印度科学研究所班加罗尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108102\u002F)\n  - [软件工程 - 印度理工学院孟买分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106101061\u002F)\n  - [可信赖系统（SS 2014）- 波茨坦大学 HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1005\u002F)\n  - [自动化软件测试 - 苏黎世联邦理工学院 | 2024 年春季](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-infk\u002F2024\u002Fspring\u002F263-2815-00L\u002F9c81df65-d04d-411a-bea4-cbd32eb249e5.html)\n  - [软件测试 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105150\u002F)\n  - [软件测试 - Udacity，课程 cs258 | 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkWVHeC_8aSIbSxE_NXI76g)\n  - [软件调试 - Udacity，课程 cs259 | 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A)\n  - [软件工程 - 魏玛包豪斯大学](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=jouBM4AH0jw&list=PLjEglKdMOevU2STTGq79duxTXDFuO-k1H&index=2)\n  - [CMU 17-445 面向人工智能系统的软件工程，2020 年夏季，Christian Kaestner 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDS2JMJnJzdkQPdkhcuwcbJpjB84g9ffX)\n- #### **软件架构**\n  - [CS 411 - 软件架构设计 - 比尔肯特大学](http:\u002F\u002Fvideo.bilkent.edu.tr\u002Fcourse_videos.php?courseid=10)\n  - [慕课 - 软件架构与设计 - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkMTetlG7xKWaI5ZAZFX8fL)\n  - [CS-310 可扩展软件架构](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWl7jvxH18r0u5VRZsOjhghNXc_Ec4dZz)\n- #### **并发**\n  - [CS176 - 多处理器同步 - 布朗大学](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs176\u002Fcourse_information.shtml)（[2012 年视频](http:\u002F\u002Fwww.brown.edu\u002Fcis\u002Fsta\u002Fdev\u002Fherlihy_csci1760_fa12\u002F#vid)）\n  - [CS 282（2014）：Android 上的并发 Java 网络编程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ9NgFYEMxp4KSJPUyaQCj7x--NQ6kvcX)\n  - [CSE P 506 – 并发，2011 年春季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep506\u002F11sp\u002FHome.html)（[视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep506\u002F11sp\u002FVideos.html)）\n  - [CSEP 524 - 并行计算 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep524\u002F10sp\u002F)（[视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep524\u002F10sp\u002Flectures\u002Fvideo.html)）\n  - [并行编程概念（WT 2013\u002F14）- 波茨坦大学 HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F977\u002F)\n  - [并行编程概念（WT 2012\u002F13）- 波茨坦大学 HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F924\u002F)\n  - [UIUC ECE 408 \u002F CS 408 应用并行编程，2022 年秋季，由 Wen-mei Hwu 和 Sanjay Patel 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6RdenZrxrw-UKfRL5smPfFFpeqwN3Dsz)（[2018 年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRRuQYjFhpmvu5ODQoY2l7D0ADgWEcYAX)）\n  - [UIUC ECE 508 \u002F CS 508 多核并行算法，2019 年春季，由 Wen-mei Hwu 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRRuQYjFhpmspsME4LmLbuCG1VHbJmIcy)\n  - [UIUC CS 420 \u002F ECE 492 \u002F CSE 402 并行编程导论，2015 年秋季，由 Sanjay Kale 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9cAjfy_RPjAc6k-HPYpTa9)\n  - [斯坦福 CME 213 并行计算导论，使用 MPI、openMP 和 CUDA，2020 年冬季，由 Eric Darve 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAtMgFDMfGy2mysjPHN_d1cf9sR1muRkq)\n- #### **移动应用开发**\n  - [慕课：为 Android 手持设备编程移动应用 - 马里兰大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkHsKoi6eZnwilGXUc95CqS7Vw4uLLDLG)\n  - [CS 193p - 开发 iOS 应用，斯坦福大学](https:\u002F\u002Fcs193p.sites.stanford.edu\u002F)\n  - [CS S-76 构建移动应用 - 哈佛大学](http:\u002F\u002Fcs76.tv\u002F2013\u002Fsummer\u002F)\n  - [CS 251（2015）：中级软件设计](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ9NgFYEMxp7lylj-XC8h1kjatOjbh9ne)\n  - [Android 应用开发入门播放列表 - thenewboston](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6gx4Cwl9DGBsvRxJJOzG4r4k_zLKrnxl)\n  - [thenewboston 的 Android 应用开发教程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2F07DBCDCC01493A)\n  - [慕课 - 开发 Android 应用 - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPnMwH5-FNkErnnq_aSy706S)\n  - [慕课 - 高级 Android 应用开发 - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPmETCT07vnDSiIaUBuyut0X)\n  - [CSSE490 Android 开发，罗斯-赫尔曼学院 2010-2011 冬季，Dave Fisher 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF3EEB647F6B52F03)\n  - [iOS 课程，Dave Fisher](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL96C635E4DCD393A8)\n  - [卡内基梅隆大学开发用于可视化和洞察力的 iPad 应用](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdeveloping-ipad-applications\u002Fid499050344)\n  - [移动计算 - 印度理工学院马德拉斯分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106147\u002F)\n  - [移动信息系统 - 魏玛包豪斯大学](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=8EmbrZJwMOI&list=PLjEglKdMOevWv4zPW0diw7iJFdT7s4sTP)\n\n------------------------------\n\n\n\n### 人工智能\n\n- [CS50 - 使用Python（及机器学习）入门人工智能，哈佛开放课程](https:\u002F\u002Fcs50.harvard.edu\u002Fai\u002F)\n- [10-202：现代人工智能导论 - 卡内基梅隆大学](https:\u002F\u002Fmodernaicourse.org\u002F)\n- [UC伯克利CS 188 - 人工智能导论，2025年春季，由John Canny、Oliver Grillmeyer主讲](https:\u002F\u002Finst.eecs.berkeley.edu\u002F~cs188\u002Fsp25\u002F)（[2024年春季](https:\u002F\u002Finst.eecs.berkeley.edu\u002F~cs188\u002Fsp24\u002F)）（[2023年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLp8QV47qJEg7WWVg_5eOECzVPpy23UjJz)）\n- [MIT OCW 6.034 人工智能](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-034-artificial-intelligence-fall-2010\u002Flecture-videos\u002F)\n- [斯坦福大学2019年秋季CS221：人工智能：原理与技术](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX)\n- [卡内基梅隆大学15-780研究生人工智能课程，2014年春季](http:\u002F\u002Fwww.cs.cmu.edu\u002F~zkolter\u002Fcourse\u002F15-780-s14\u002Flectures.html)\n- [华盛顿大学2003年冬季CSE 592人工智能应用课程](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep573\u002F03wi\u002Flectures\u002Findex.htm)\n- [UBC 2012–13年冬季CS322：人工智能导论](http:\u002F\u002Fwww.cs.ubc.ca\u002F~mack\u002FCS322\u002F)（[YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDPnGbm0sUmpzvcGvktbz446SLdFbfZVU)）\n- [2016年秋季CS 4804：人工智能导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUenpfvlyoa1iiSbGy9BBewgiXjzxVgBd)\n- [2015年春季CS 5804：人工智能导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUenpfvlyoa0PB6_kqJ9WU7m6i6z1RhfJ)\n- [FAU 2023年秋季人工智能课程](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3595)（[2023年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3386)）（[2022年秋季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3180)）（[2021年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2095)）（[2020年秋季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1690)）（[2018年秋季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F713)）（[2018年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F657)）\n- [印度理工学院卡拉格布尔分校人工智能课程](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105077\u002F)\n- [印度理工学院马德拉斯分校人工智能课程](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106126\u002F)\n- [印度理工学院卡拉格布尔分校人工智能课程（Prof.P.Dasgupta主讲)](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105079\u002F)\n- [Udacity MOOC - 人工智能导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPlqMkzr4xyuD6cXTIgPuzgn)\n- [Udacity MOOC - 用于机器人的人工智能](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkCSYXw6-a_aAoXVKLDwnHK)\n- [华盛顿大学2012年秋季研究生人工智能课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbQ3Aya0VERDoDdbMogU9EASJGWris9qG)\n- [爱丁堡大学2015\u002F16年基于主体的系统课程](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Fabs.htm)\n- [爱丁堡大学2014\u002F15年信息学2D：推理与主体课程](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Finf2d.htm)\n- [拉文斯堡-魏因加滕应用科学大学人工智能课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL39B5D3AFC249556A)\n- [德国布伦瑞克工业大学演绎数据库与知识系统课程](http:\u002F\u002Fwww.ifis.cs.tu-bs.de\u002Fteaching\u002Fws-1516\u002FKBS)\n- [印度理工学院马德拉斯分校人工智能：知识表示与推理课程](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106140\u002F)\n- [HPI哈拉尔德·萨克博士的语义网技术课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAeihlKcWpzVzB51rr014TwD)\n- [HPI哈拉尔德·萨克博士的语义网技术知识工程课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAcBXlhTti7kzetSsi1PpJGR)\n- [圣路易斯华盛顿大学杰夫·希顿2022年T81-558：深度神经网络的应用课程](https:\u002F\u002Fsites.wustl.edu\u002Fjeffheaton\u002Ft81-558\u002F)\n- [密歇根州立大学AI编程课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ-krWGO-UEz84TseDMIlx2Set6xZp0YP)\n\n------------------------------\n\n### 机器学习\n\n- #### **Introduction to Machine Learning**\n  - [Introduction to Machine Learning for Coders](https:\u002F\u002Fcourse18.fast.ai\u002Fml)\n  - [MOOC - Statistical Learning, Stanford University](http:\u002F\u002Fwww.dataschool.io\u002F15-hours-of-expert-machine-learning-videos\u002F)\n  - [Statistical Learning with Python - Stanford Online](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ)\n  - [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)\n  - [CS 155 - Machine Learning & Data Mining, 2023 - Caltech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLu5yXJ11s4r-nBlojSQC9seeUF1IxX-_z) ([Notes-2020](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2020_winter\u002F)) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi67hPzb9zJXH1cbeN7LKNiD)) ([Notes-2019](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2019_winter\u002F)) ([YouTube-2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi7r2trKGgwaedY17MADTay4)) ([Notes-2018](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2018_winter\u002F)) ([YouTube-2018](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi644ypoxzP1frkPYVHdjDJU)) ([Notes-2017](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2017_winter\u002F)) ([YouTube-2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC)) ([Notes-2016](http:\u002F\u002Fwww.yisongyue.com\u002Fcourses\u002Fcs155\u002F2016_winter\u002F)) ([YouTube-2016](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))\n  - [CS 156 - Learning from Data, Caltech](https:\u002F\u002Fwork.caltech.edu\u002Flectures.html)\n  - [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~ninamf\u002Fcourses\u002F601sp15\u002Flectures.shtml) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ))\n  - [10-601 Machine Learning | CMU | Fall 2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)\n  - [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~tom\u002F10701_sp11\u002Flectures.shtml) ([Fall 2014](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn)) ([Fall 2020 by Ziv Bar-Joseph, Eric Xing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLsWN0V-b507g7dbQTUvFkKZEqdHR5Fh4P))\n  - [10 - 301\u002F601 - Introduction to Machine Learning - Fall 2023 - CMU](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22d5bf275d-ff88-4bf6-a865-b065010f55c2%22)\n  - [6.036 - Machine Learning, Broderick - MIT Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV)\n  - [Mediterranean Machine Learning summer school 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1bV4Zd1UepYfyZXkv6Bz6ra) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1Y-Bret-wrcPypPCZ3Gg_3L)) ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1agtfVaDsDUaMHmToP84Fk6)) ([YouTube-2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked))\n  - [LxMLS Lisbon Machine Learning School 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQeh4eRfAwETbtJJLPKcDLrzw) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQeikRCf-wJ8NCK51JOMHGOCP)) ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQejdxQL7qI5aJkLcAQJ68Abp)) ([YouTube-2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQegzsLin54NbfePFAuTUEmUj)) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQl_xdhSmQehE6aAk774yWMag4NNBGr5k))\n  - [Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83)\n  - [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh) ([Spring 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNyWOpJg_Yh4NSqI4Z4vOYy))\n  - [CMS 165 Foundations of Machine Learning - 2019 - Caltech](http:\u002F\u002Ftensorlab.cms.caltech.edu\u002Fusers\u002Fanima\u002Fcms165-2019.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLVNifWxslHCA5GUh0o92neMiWiQiGVFqp))\n  - [CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)\n  - [Microsoft Research - Machine Learning Course](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)\n  - [CS 446 - 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[UW Madison CS 320 Data Programming II spring 2021, by Tyler R. Caraza-Harter](https:\u002F\u002Ftyler.caraza-harter.com\u002Fcs320\u002Fs21\u002Fschedule.html)\n  - [UC San Diego COGS9 Introduction to Data Science fall 2020, by Jason Fleischer](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaaNbhBDEsoFarUB58v9s7pUVoyAahMeQ)\n  - [UCLA Stats 15 Introduction to Data Science fall 2022, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCEzYDpJha6hP6ne-50sT1o)\n  - [UCLA Stats 21 Python and Other Technologies for Data Science spring 2024, by Miles Chen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAdsiprcbdk5HHPxS6PloWE) ([Spring 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKR7271tMEmgBPgu4LtjDhX3ywpTxda5g))\n  - [UCLA Stats C161\u002FC261 Introduction to Pattern Recognition and Machine Learning winter 2024, by Arash Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SxQ2vlXxlZVMKkt4gI1YYP8) ([Winter 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SwLCXGUyM3FNSRwG6GNgONr))\n  - [UCLA Stats 231C Theories of Machine Learning spring 2022, by Arash Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SxKyZLv_FotPDED5ET_rQmo)\n  - [Princeton COS 511 Theoretical Machine Learning spring 2026, by Elad Hazan](https:\u002F\u002Fsites.google.com\u002Fview\u002Fcos-511-spring-2026\u002Fhome)\n  - [MSU Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=kMf0qDtQ_PM&list=PLZ-krWGO-UEyPHsZfOjYH03_TyIN2pPhl&pp=iAQB)\n  - [Data Science for Dynamical Systems, by Oliver Wallscheid & Sebastian Peitz](https:\u002F\u002Fgithub.com\u002FDS-4-DS\u002FDS4DS_Course) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@DataScience4DynamicalSystems\u002Fplaylists))\n  - [Cambridge Statistical Learning in Practice 2021, by Alberto J. Coca](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLn1JSlh3WT_b7sMBktkAgV9-cP052JFhb)\n  - [Data 8: The Foundations of Data Science - UC Berkeley](http:\u002F\u002Fdata8.org\u002F) ([Spring 23](https:\u002F\u002Fwww.data8.org\u002Fsp23\u002F)) ([Fall 22](https:\u002F\u002Fwww.data8.org\u002Ffa22\u002F)) ([Spring 22](https:\u002F\u002Fwww.data8.org\u002Fsp22\u002F)) ([Summer 17](http:\u002F\u002Fdata8.org\u002Fsu17\u002F))\n  - [Data 144: Foundations of Data Science spring 2021 - Vassar College](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKB9hHuywn56TraSMv2pRumr) ([Course materials](https:\u002F\u002Fgithub.com\u002Fjwaterman\u002Fdata144-materials-sp21))\n  - [CSE519 - Data Science Fall 2016 - Skiena, SBU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOtl7M3yp-DVBdLYatrltDJr56AKZ1qXo)\n  - [CS 109 Data Science, Harvard University](http:\u002F\u002Fcs109.github.io\u002F2015\u002Fpages\u002Fvideos.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLb4G5axmLqiuneCqlJD2bYFkBwHuOzKus))\n  - [6.0002 Introduction to Computational Thinking and Data Science - MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-0002-introduction-to-computational-thinking-and-data-science-fall-2016\u002Flecture-videos\u002F)\n  - [Data 100: Principles and Techniques of Data Science - UC Berkeley](https:\u002F\u002Fds100.org) ([Fall 25](https:\u002F\u002Fds100.org\u002Ffa25\u002Flectures\u002F01\u002F)) ([Fall 24](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBzDKR72ILypzPQZ_Cz6HcH)) ([Spring 24](https:\u002F\u002Fds100.org\u002Fsp24\u002F)) ([Summer 19](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR))\n  - [Data 102 - Spring 21- UC Berkeley](https:\u002F\u002Fdata102.org\u002Fsp21\u002F#lecture-week-14) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAEbY32OXjmkQbD0uRhge9Y))\n  - [Distributed Data Analytics (WT 2017\u002F18) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1179\u002F)\n  - [Data Profiling and Data Cleansing (WS 2014\u002F15) - HPI University of Potsdam](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1027\u002F)\n  - [CS 229r - Algorithms for Big Data, Harvard University](http:\u002F\u002Fpeople.seas.harvard.edu\u002F~minilek\u002Fcs229r\u002Ffall15\u002Flec.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2SOU6wwxB0v1kQTpqpuu5kEJo2i-iUyf))\n  - [Algorithms for Big Data - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106142\u002F)\n  - [Python Data Science with the TCLab](https:\u002F\u002Fgithub.com\u002FAPMonitor\u002Fdata_science) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=pAgW_bZVo88&list=PLLBUgWXdTBDg1Qgmwt4jKtVn9BWh5-zgy))\n  - [Foundations of Data Analysis (Fall 2020)- University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCqB1sx1eheVmLtp2EN7osYt)\n\n- #### **数据挖掘**\n  - [CSEP 546, 数据挖掘 - Pedro Domingos, 2016年春季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep546\u002F16sp\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr))\n  - [CS 5140\u002F6140 - 数据挖掘，2020年春季，犹他大学，Jeff Phillips教授](https:\u002F\u002Fusers.cs.utah.edu\u002F~jeffp\u002Fteaching\u002Fcs5140-S20\u002Fcs5140.html) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrEf65zrd3J1UG3LT6TcDlt))\n  - [CS 5140\u002F6140 - 数据挖掘，2023年春季，犹他大学，Ana Marasović教授](https:\u002F\u002Futah-data-mining-spring23.github.io\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrnLNqZPnTuG_s19TNDoad0))\n  - [CS 5955\u002F6955 - 数据挖掘，犹他大学](http:\u002F\u002Fwww.cs.utah.edu\u002F~jeffp\u002Fteaching\u002Fcs5955.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCcrlwW88yMcXujhGjSP2WBg\u002Fvideos))\n  - [统计学202 - 数据挖掘的统计学方面，2007年夏季 - Google](http:\u002F\u002Fwww.stats202.com\u002Foriginal_index.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFE776F2C513A744E))\n  - [慕课 - ChengXiang Zhai主讲的文本挖掘与分析](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLssT5z_DsK8Xwnh_0bjN4KNT81bekvtt)\n  - [信息检索SS 2014，iTunes - HPI](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Finformation-retrieval-ss-2014\u002Fid874200291)\n  - [慕课 - 使用Weka进行数据挖掘](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD)\n  - [CS 290 数据挖掘讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLB4CCA346A5741C4C)\n  - [CS246 - 大规模数据集挖掘，2016年冬季，斯坦福大学](https:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs246\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC_Oao2FYkLAUlUVkBfze4jg\u002Fvideos))\n  - [信息检索 - 2018年春季 - 苏黎世联邦理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn)\n  - [信息检索 - 2022\u002F23冬季学期 - 弗赖堡大学](https:\u002F\u002Fad-wiki.informatik.uni-freiburg.de\u002Fteaching\u002FInformationRetrievalWS2223)\n  - [CAP6673 - 数据挖掘与机器学习 - FAU](http:\u002F\u002Fwww.cse.fau.edu\u002F~taghi\u002Fclasses\u002Fcap6673\u002F)([视频讲座](https:\u002F\u002Fvimeo.com\u002Falbum\u002F1505953))\n  - [CS 412 - 数据挖掘导论 - UIUC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDZi44-yuH2XH9UaHdaJkxs)\n  - [CS 512 - 数据挖掘原理 - UIUC](https:\u002F\u002Fgithub.com\u002Fspacemanidol\u002FCS512DM\u002Ftree\u002Fmain\u002Flectures) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKABUzEm9v1PuKLlb0AQ9tdH))\n  \n- #### **概率图模型**\n  - [CS 6190 - 概率建模，2016年春季，犹他大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut)\n  - [10-708 - 概率图模型，卡内基梅隆大学](https:\u002F\u002Fwww.cs.cmu.edu\u002F~epxing\u002FClass\u002F10708-20\u002Flectures.html)\n  - [概率图模型，Daphne Koller，斯坦福大学](http:\u002F\u002Fopenclassroom.stanford.edu\u002FMainFolder\u002FCoursePage.php?course=ProbabilisticGraphicalModels)\n  - [概率图模型，2018年春季 - 圣母大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)\n  \n- #### **深度学习**\n  - [全栈深度学习 - 2022年课程](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=-Iob-FW5jVM&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur)\n  - [全栈深度学习 - 2021年课程](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=fGxWfEuUu0w&list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)\n  - [NYU深度学习2020年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)\n  - [NYU深度学习2021年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)\n  - [6.S191：深度学习导论 - MIT](http:\u002F\u002Fintrotodeeplearning.com\u002F)\n  - [15.773：动手实践深度学习2024年春季 - MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F15-773-hands-on-deep-learning-spring-2024\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [6.7960：深度学习2024年秋季 - MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-7960-deep-learning-fall-2024\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [深度学习与生成模型入门课程 - Sebastian Raschka教授](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)\n  - [CMU深度学习](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC8hYZGEkI2dDO8scT8C5UQA\u002Fvideos)\n  - [CS231n 计算机视觉中的深度学习 - 斯坦福大学](https:\u002F\u002Fcs231n.stanford.edu\u002Fschedule.html) ([2025年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16)) ([2016年冬季，Andrej Karpathy主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC))\n  - [深度学习：CS 182 2021年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)\n  - [10-414\u002F714：深度学习系统 - CMU](https:\u002F\u002Fdlsyscourse.org\u002Flectures\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002F@deeplearningsystemscourse1116\u002Fvideos))\n  - [11-785：深度学习导论 - CMU](https:\u002F\u002Fdeeplearning.cs.cmu.edu\u002FS24\u002Findex.html) ([讲座 - YouTube-2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLp-0K3kfddPxUJzAW0KxNNjGiK_hISFas), [习题课 - YouTube-2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLp-0K3kfddPzNnco9QQAoTx_sVhZgHK-n))\n  - [第一部分：面向编码者的实用深度学习，v3 - fast.ai](https:\u002F\u002Fcourse.fast.ai\u002F)\n  - [第二部分：从基础开始的深度学习 - fast.ai](https:\u002F\u002Fcourse19.fast.ai\u002Fpart2)\n  - [牛津大学2015年深度学习 - Nando de Freitas](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)\n  - [自动驾驶汽车 — Andreas Geiger，2021\u002F22年](https:\u002F\u002Funi-tuebingen.de\u002Ffakultaeten\u002Fmathematisch-naturwissenschaftliche-fakultaet\u002Ffachbereiche\u002Finformatik\u002Flehrstuehle\u002Fautonomous-vision\u002Flectures\u002Fself-driving-cars\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=wAaSJUAKPuY&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr))\n  - [6.S094：用于自动驾驶的深度学习 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)\n  - [CS294-129 设计、可视化和理解深度神经网络](https:\u002F\u002Fbcourses.berkeley.edu\u002Fcourses\u002F1453965\u002Fpages\u002Fcs294-129-designing-visualizing-and-understanding-deep-neural-networks) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIxopmdJF_CLNqG3QuDFHQUm))\n  - [CS230：深度学习 - 2018年秋季 - 斯坦福大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOABXSygHTsbvUz4G_YQhOb)\n  - [CS230：深度学习 - 2025年秋季 - 斯坦福大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X)\n  - [STAT-157 深度学习2019年 - UC伯克利](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)\n  - [深度学习，斯坦福大学](http:\u002F\u002Fopenclassroom.stanford.edu\u002FMainFolder\u002FCoursePage.php?course=DeepLearning)\n  - [慕课 - Geoffrey Hinton 2016年主讲的机器学习中的神经网络 - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)\n  - [Waterloo大学的Stat 946深度学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)\n  - [EECS 298 计算神经网络与机器学习理论（2020年秋季） - UC Irvine](https:\u002F\u002Fgrandcentral.eee.uci.edu\u002Fsyllabus\u002Fdownload\u002FF-2020\u002F17815) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBAh1HWXPOI3Rw59WdRlJXu))\n  - [多伦多大学的ECE 1508 应用深度学习](https:\u002F\u002Fwww.bereyhi.com\u002Fdeep-learning) ([2025年秋季](https:\u002F\u002Fbereyhi-courses.github.io\u002Fdl-utoronto\u002F)) ([2025年冬季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcFgNUo9s_AgsMOnniTMIWmLpjj9vZ1Wm)) ([2024年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcFgNUo9s_Ajz1l4rBDIApwdcEKgzoMko))\n  - [多伦多大学的ECE 1508 强化学习 - 2025年秋季](https:\u002F\u002Fbereyhi-courses.github.io\u002Frl-utoronto\u002Flectures\u002F)\n  - [舍布鲁克大学的神经网络课程](http:\u002F\u002Finfo.usherbrooke.ca\u002Fhlarochelle\u002Fneural_networks\u002Fcontent.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))\n  - [DLCV - 计算机视觉中的深度学习 - UPC巴塞罗那](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-5eMc3HQTBavDoZpFcX-bff5WgQqSLzR)\n  - [DLAI - 人工智能中的深度学习 @ UPC巴塞罗那](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)\n  - [印度理工学院卡拉格布尔分校的神经网络及其应用](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105084\u002F)\n  - [UVA深度学习课程](http:\u002F\u002Fuvadlc.github.io\u002F#lecture)\n  - [深度学习 - 2020-21年冬季 - 图宾根机器学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)\n  - [几何深度学习 - AMMI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)\n  - [深度学习中的数学 — Andreas Geiger](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm)\n  - [维也纳工业大学2025年应用深度学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE8H1o874cZbiwnNRJ6hCDJI) ([2024年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE8tSQuU3jN71fmmGFFCi7Dc)) ([2023年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE87JO3T_mvedVTlw0sjUzKh)) ([2022年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE_QaTwYxoTmmRJHtMXyIAU6)) ([2021年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE_wsWK3t6NEeYtwOorGfowm)) ([2020年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNsFwZQ_pkE8xNYTEyorbaWPN7nvbWyk1))\n  - [神经网络：从零到英雄 - Andrej Karpathy](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)\n  - [CIS 522 - 大学深度学习 - 宾夕法尼亚大学](https:\u002F\u002Fwww.youtube.com\u002F@cis522-deeplearning8\u002Fplaylists)\n  - [UVA深度学习课程](http:\u002F\u002Fuvadlc.github.io\u002F#lecture)\n  - [深度学习（2020年秋季） - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1600) ([2020年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F925)) ([2019年秋季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F849)) ([2019年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F758)) ([2018年秋季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F701)) ([2018年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F662))\n  - [深度学习（2020年秋季） - 佐治亚理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7)\n  - [FAU的深度学习数学（2021年）](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F878)\n  - [CS7015 - 大学深度学习 - Mitesh M. Khapra教授 - 印度理工学院马德拉斯](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)\n  - [苏黎世联邦理工学院 | 2023年科学计算中的深度学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJkYEExhe7rYY5HjpIJbgo-tDZ3bIAqAm)\n  - [François Fleuret的深度学习](https:\u002F\u002Ffleuret.org\u002Fdlc\u002F)\n  - [Maziar Raissi的应用深度学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)\n  - [UC伯克利CS 182 \u002F 282a深度学习2023年春季，由Anant Sahai主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAaj_UAJcazYN4964xZ7Lt1)\n  - [UMD的CMSC 828W深度学习基础（2020年秋季）](https:\u002F\u002Fwww.cs.umd.edu\u002Fclass\u002Ffall2020\u002Fcmsc828W\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf))\n  - [TUM IN2346 深度学习导论2024年秋季，由Daniel Cremers主讲](https:\u002F\u002Fcvg.cit.tum.de\u002Fteaching\u002Fws2024\u002Fi2dl) ([2023年夏季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ8Y4kIIbzy_pGm2QAwF625E6nmcRu2sU))\n  - [UT奥斯汀 - 深度学习的最新进展](https:\u002F\u002Fut.philkr.net\u002Fadvances_in_deeplearning\u002F)\n  - [香港大学 - Data 8014 深度表示学习原理2025年秋季，由Yi Ma编写](https:\u002F\u002Fma-lab-berkeley.github.io\u002Fdeep-representation-learning-book\u002Fcommunity.html)\n  - [深度学习模型的局部解释（2023年秋季）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCoto690B1eTReTznuSC9qYX)\n  - [CS 6966\u002F5966 LLM可解释性（2026年春季） - 犹他大学](https:\u002F\u002Futah-llm-interpretability.notion.site\u002Fs26)\n\n- #### **Reinforcement Learning**\n  - [CS234: Reinforcement Learning - Spring 2024 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX) ([Winter 2019](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u))\n  - [CSE 542: Reinforcement Learning - Spring 2024 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse542\u002F24sp\u002Fschedule\u002F)\n  - [CSE 579: Reinforcement Learning - Autumn 2024 - University of Washington](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse579\u002F24au\u002Fschedule\u002F)\n  - [CSC 2547: Introduction to Reinforcement Learning - Spring 2021 - University of Toronto](https:\u002F\u002Famfarahmand.github.io\u002FIntroRL\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq))\n  - [Introduction to reinforcement learning - UCL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)\n  - [Reinforcement Learning - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9) ([TA - Manav Mishra](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLpKrAXMumEsjAR1Ybb0qbTKGYd9RY0vxa), [TA - Prabhleen Kukreja](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTt_oMmEiDJhBPjy_aedcoeIY-IsaDBOn), [TA - Sandarbh Yadav ](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoo_WPzXEM1ShdfOxv-adi3JdhRX4rA7F), [TA - Avik Kar](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLz2x4RAIbeXkTJFEipkD_ds3z0qx8_5D7))\n  - [Special topics in ML (Reinforcement Learning) IIT madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBbDiVplM2I9q2XNso1Qfj62)\n  - [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)\n  - [CS 224R - Deep Reinforcement Learning- Stanford](https:\u002F\u002Fcs224r.stanford.edu\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPwxE0ONYRa_itZFdaKCylL))\n  - [CS 285 - Deep Reinforcement Learning- UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)\n  - [CS 294 112 - Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37)\n  - [NUS CS 6101 - Deep Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLllwxvcS7ca5wOmRLKm6ri-OaC0INYehv)\n  - [ECE 8851: Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_Nk3YvgORJs1tCLQnlnSRsOJArj_cP9u)\n  - [CS294-112, Deep Reinforcement Learning Sp17](http:\u002F\u002Frll.berkeley.edu\u002Fdeeprlcourse\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX))\n  - [UCL Course 2015 on Reinforcement Learning by David Silver from DeepMind](http:\u002F\u002Fwww0.cs.ucl.ac.uk\u002Fstaff\u002Fd.silver\u002Fweb\u002FTeaching.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2pWv7GOvuf0))\n  - [Deep RL Bootcamp - Berkeley Aug 2017](https:\u002F\u002Fsites.google.com\u002Fview\u002Fdeep-rl-bootcamp\u002Flectures)\n  - [Reinforcement Learning - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)\n  - [Reinforcement Learning Course at KTH (FDD3359 - 2022)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL21JFJEtbq0JLNo53UIkbIwkc2njCVUUR)\n  - [Reinforcement Learning Course at ASU, Spring 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj)\n  - [CS 4789\u002F5789: Introduction to Reinforcement Learning - Cornell](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQVNhPb8ajtCjWSKUvKU8cX5lueYP9s3X)\n  - [S20\u002FIE613 - Online (Machine) Learning\u002F Bandit Algorithms](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDREIwGwrHBdiBm1q0cVJLZn4Cn6Hig2s)\n  - [Reinforcement Learning - Fall 2021 chandar-lab](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)\n  - [CMU 10 703 Deep Reinforcement Learning & Control fall 2022, by Katerina Fragkiadaki](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22ee5794a2-cb54-4edc-836b-aefc01023243%22)\n  - [ECE524 Foundations of Reinforcement Learning at Princeton University, Spring 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLYXvCE1En13epbogBmgafC_Yyyk9oQogl)\n  - [REINFORCEMENT LEARNING AND OPTIMAL CONTROL - Dimitri P. Bertsekas, ASU](https:\u002F\u002Fweb.mit.edu\u002Fdimitrib\u002Fwww\u002FRLbook.html)\n  - [CMU 16 745 Optimal Control and Reinforcement Learning spring by Zac Manchester](https:\u002F\u002Fwww.youtube.com\u002F@roboticexplorationlab3724\u002Fplaylists)\n  - [CMU 16 899 Adaptive Control and Reinforcement Learning fall 2020, by  Changliu Liu](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZL5VXraKdz-0zByoPNzNTqSirR4veU8z)\n  - [Jadavpur University, 2025: Introduction to Reinforcement Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcNLn_ApooUzGJW60RcD2HRrL7sm0HG-w)\n  - [EE675 (2024) Introduction to Reinforcement Learning Course | IIT Kanpur](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZAmMLcSnKRICBNyjraAhQdtdJFFgyRL5)\n  - [Reinforcement Learning Course by Frédéric Godin - Concordia University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFskzTP727yc5eXXm09Xst7bIk5fi7mD6)\n  - [CS 285: Deep RL, 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_iWQOsE6TfVYGEGiAOMaOzzv41Jfm_Ps)\n  - [Mathematical Foundations of Reinforcement Learning - WINDY Lab](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLEhdbSEZZbDaFWPX4gehhwB9vJZJ1DNm8)\n  - [Reinforcement Learning (HMC CS 181V)—Spring, 2020 - Neil Rhodes](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2Yggtk_pK69evEzfwQHm9ASOCbXPlXPS)\n  - [Reinforcement Learning Course: Lectures (Summer 2023) by Paderborn University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4GzQQuIDBGv-IFxRSgydCR7OrOM_xKqN)\n  - [CS292F (Spring 2021) Statistical Foundation of Reinforcement Learning - UCSD](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FRLCourse-2021Spring\u002F)\n  - [Algorithmic Foundations of Interactive Learning - CMU](https:\u002F\u002Finteractive-learning-algos.github.io\u002F)\n  \n- #### **Advanced Machine Learning**\n  - [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https:\u002F\u002Fwww.cmi.ac.in\u002F~madhavan\u002Fcourses\u002Faml2021)\n  - [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)\n  - [CS 330 - Deep Multi-Task and Meta Learning - Fall 2019 - Stanford University](https:\u002F\u002Fcs330.stanford.edu\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5))\n  - [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI)\n  - [ES 661 (2023): Probabilistic Machine Learning - IIT Gandhinagar](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLftoLyLEwECBEJyfRBJoSBd0UaTjEcs3I)\n  - [Information Retrieval in High Dimensional Data](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaE1lKCe0jH3ePp9wCU1ygTquVOXY-UYv)\n  - [Trustworthy Machine Learning - Winter Semester 2023-2024, University of Tübingen](https:\u002F\u002Fscalabletrustworthyai.github.io\u002Fcourses\u002Ftml_winter_2324\u002F)\n  - [Trustworthy Machine Learning - Winter Semester 2024-2025, University of Tübingen](https:\u002F\u002Fscalabletrustworthyai.github.io\u002Fcourses\u002Ftml_winter_2425\u002F)\n  - [ETH Zürich Advanced Machine Learning fall 2019, by Joachim M. Buhmann](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-infk\u002F2019\u002Fautumn\u002F252-0535-00L.html)\n  - [CS 159 Advanced Topics in Machine Learning, Spring 2021 - Caltech](https:\u002F\u002F1five9.github.io\u002F)\n  - [CS 229br Advanced Topics in the theory of machine learning, Spring 2021 - Harvard](https:\u002F\u002Fboazbk.github.io\u002Fmltheoryseminar\u002Fcs229br.html)\n  \n  \n- #### **Natural Language Processing**\n  - [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http:\u002F\u002Fweb.stanford.edu\u002Fclass\u002Fcs224n\u002F) ([Lectures -  Winter 2019](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures -  Winter 2021](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)) ([Lectures - Spring 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOaMFbaqxPDoLWjDaRAdP9D))\n  - [CS 224N - Natural Language Processing, Stanford University](https:\u002F\u002Fweb.stanford.edu\u002F~jurafsky\u002FNLPCourseraSlides.html) ([Lecture videos](https:\u002F\u002Facademictorrents.com\u002Fdetails\u002Fd2c8f8f1651740520b7dfab23438d89bc8c0c0ab))\n  - [Stanford XCS224U: Natural Language Understanding I Spring 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp)\n  - [CS388: Natural Language Processing - UT Austin](https:\u002F\u002Fwww.cs.utexas.edu\u002F~gdurrett\u002Fcourses\u002Fonline-course\u002Fmaterials.html)\n  - [CS 124 - From Languages to Information - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUC_48v322owNVtORXuMeRmpA\u002Fplaylists?view=50&sort=dd&shelf_id=2)\n  - [CS 6340\u002F5340 - Natural Language Processing - University of Utah - Spring 2024](https:\u002F\u002Futah-intro-nlp.github.io\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43))\n  - [CSE 447\u002F517 - Natural Language Processing - University of Washington - Winter 2024](https:\u002F\u002Fsafe-fernleaf-26d.notion.site\u002FWinter-24-CSE-447-517-Natural-Language-Processing-4142333a001143d2be5ecff1a535c4ab)\n  - [Neural Networks: Zero to Hero - Andrej Karpathy](https:\u002F\u002Fkarpathy.ai\u002Fzero-to-hero.html)\n  - [fast.ai Code-First Intro to Natural Language Processing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9) ([Github](https:\u002F\u002Fgithub.com\u002Ffastai\u002Fcourse-nlp))\n  - [MOOC - Natural Language Processing - Coursera, University of Michigan](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLssT5z_DsK8BdawOVCCaTCO99Ya58ryR)\n  - [Natural Language Processing at UT Austin (Greg Durrett)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLofp2YXfp7Tbk88uH4jejfXPd2OpWuSLq)\n  - [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)\n  - [Deep Learning for Natural Language Processing, 2017 - Oxford University](https:\u002F\u002Fgithub.com\u002Foxford-cs-deepnlp-2017\u002Flectures)\n  - [Natural Language Processing - IIT Bombay](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106101007\u002F)\n  - [CMU Advanced NLP Fall 2024](https:\u002F\u002Fphontron.com\u002Fclass\u002Fanlp-fall2024\u002Fschedule\u002F) ([Lectures - Fall 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8D4BeyjwWczukWq9d8PNyZp)) ([Lectures - Fall 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8AYSXn_GKVgwXVluCT9chJ6))\n  - [CMU Neural Nets for NLP 2021](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)\n  - [Natural Language Processing - Michael Collins - Columbia University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLA212ij5XG8OTDRl8IWFiJgHR9Ve2k9pv)\n  - [CMU CS11-711 - Advanced Natural Language Processing](https:\u002F\u002Fcmu-l3.github.io\u002Fanlp-spring2025\u002F) ([Lectures - Spring 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqC25OT8ZpD3WxQ0FwWMGPS_BcWdcKyZy))\n  - [CMU CS11-737 - Multilingual Natural Language Processing](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)\n  - [UMass CS685: Advanced Natural Language Processing (Spring 2022)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWnsVgP6CzadI4-FT2Po4wsEK7MHCIQ-d)\n  - [Natural Language Processing (CMSC 470)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwrUPjGidcJ4UkSoi7_rmn-1kcedLqgdL)\n  - [Stanford CS25 - Transformers United 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)\n  - [Natural Language Processing (IN2361) - TUM](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2019&term=W&slug=nlp&view=3)\n  - [Natural Language Processing (Spring 2024) - University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43)\n  - [Multilingual NLP 2020 - CMU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)\n  - [Speech Technology - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBaI_g3_V-CFrgFIf-0Yksiv)\n  \n- #### **Generative AI and LLMs**\n  - [Stanford CS236: Deep Generative Models I 2023 I Stefano Ermon](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8)\n  - [CS 6785 - Deep Generative Models - Cornell Tech, Spring 2023)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2UML_KCiC0UPzjW9BjO-IW6dqliu9O4B)\n  - [ECE 498 \u002F 598 - Deep Generative Models - UIUC, Fall 2025)](https:\u002F\u002Frrc-uiuc.notion.site\u002Fgen-models-fa25)\n  - [Mathematical Foundations of Generative AI - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBa5xCmncgH7kPqLqMBq7xlu)\n  - [Deep Generative Models - IISC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLL1s8qiaGy0LwIajdxKZr_FRL7KZeQK9r)\n  - [A Course on Generative AI - Diffusion Models - Israel Institute of Technology](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0H3pMD88m8XPBlWoWGyal45MtnwKLSkQ)\n  - [MIT 6.S184 Flow Matching and Diffusion Models, 2025](https:\u002F\u002Fdiffusion.csail.mit.edu)\n  - [Course on Diffusion Models for Generative AI - UT Austin](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8lIiiIWuabLxhJreBRZwNW-d02dJwbMb)\n  - [CS 492(C) Diffusion and Flow Models - Fall 2025 - KAIST](https:\u002F\u002Fdiffusion.kaist.ac.kr\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyi5FHzX7hBzC698EjqgxQJG7pNPQyYyc))\n  - [Stanford CS336 Language Modeling from Scratch I 2025 - Stanford](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_)\n  - [Stanford CME295 Transformers & LLMs - Autumn 2025 - Stanford](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rObv1FMizXqumgVVdzX4_05)\n  - [Introduction to large language models - IIT Madras](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBbaMNZoyW2Hizl8DG6ikkjo)\n  - [Build a Large Language Model (From Scratch) by Sebastian Raschka](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTKMiZHVd_2IIEsoJrWACkIxLRdfMlw11)\n  - [Reinforcement Learning of Large Language Models - UCLA](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLir0BWtR5vRp5dqaouyMU-oTSzaU5LK9r)\n  - [WING NUS CS6101 Large Language Models (T2310)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzIZxnJJT7ORSBnYrXJMYBVnYeLryJtl7)\n  - [CS 839: Foundation Models Fall 2025 - UW Madison](https:\u002F\u002Fpages.cs.wisc.edu\u002F~fredsala\u002Fcs839\u002Ffall2025\u002Fschedule.html) ([YouTube playlists](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOq_oVZZBJosRA5_S823YxCcKcoyVRto-))\n  - [CS 886: Recent Advances on Foundation Models Winter 2024 - University of Waterloo](https:\u002F\u002Fcs.uwaterloo.ca\u002F~wenhuche\u002Fteaching\u002Fcs886\u002F)\n  - [UC Berkeley CS 194\u002F294-196 Agentic AI Fall 2025](https:\u002F\u002Frdi.berkeley.edu\u002Fagentic-ai\u002Ff25) ([YouTube, 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3RtgoqGkm4UeqNeZLccW-OGc1fJ)) ([Notes, 2024](https:\u002F\u002Frdi.berkeley.edu\u002Fllm-agents\u002Ff24)) ([YouTube, 2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc))\n  - [UC Berkeley CS 194\u002F294-267 Understanding Large Language Models Foundations and Safety spring 2024, by Dawn Song & Dan Hendrycks](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJ66BAXN6D8H_gRQJGjmbnS5qCWoxJNfe)\n  - [UC Berkeley CS 194\u002F294-280 Advanced Large Language Model Agents Spring 2025](https:\u002F\u002Frdi.berkeley.edu\u002Fadv-llm-agents\u002Fsp25) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3RtgorL3AW8REU9nGkzhvtn6Egn))\n  - [Introduction to Large Language Models (LLMs), IIT Delhi](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqGkIjcOyrGnjyBHl4GE2S9kX47X96FH-)\n  - [CMU 10799 S26: Diffusion & Flow Matching](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9aTsZCk17O6ebBauPy7Mn8cQqXgt0Xtb)\n  - [6.S183: A Practical Introduction to Diffusion Models - MIT](https:\u002F\u002Fwww.practical-diffusion.org\u002Flectures\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@MIT-6.S183), [2025 lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_1TbuIu65A_G908tHHvTnyQsueR17rMh))\n  - [The Principles of Diffusion Models - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZShSUHKLhdHAdAw5oM9vM1Yf)\n  - [Building LLMs from scratch - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZSgsLAr8YCgCwhPIJNNtexWu)\n  - [Build DeepSeek from Scratch - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZSiOpKKlHCyOq9lnp-dLvlms)\n  - [Reasoning LLMs from Scratch - Vizuara](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPTV0NXA_ZSijcbUrRZHm6BrdinLuelPs)\n  - [KAIST CS492(C): Diffusion and Flow Models (Fall 2025)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyi5FHzX7hBzC698EjqgxQJG7pNPQyYyc) ([2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyi5FHzX7hBxtkKUZLRdiq5C01QimCno2))\n  - [Mathematics of Generative Modelling (Spring 2024) - IIIT Hyderabad](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSPVGYqSR1PSGhb3HVQM_PIW9rur3qVwQ) ([2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSPVGYqSR1PTDHtx2mN2_D9SEj25NJrMU))\n  - [NYCU Deep Generative Models 2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLl6jkZVaP8zrR-UikQB-AXJyqpvGxMLGT)\n  - [COMPSCI 690L | Deep Generative Models | 2024 | Sajjad Amini](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_lIXwwDFn7gSTFiTi_rPzSzzAojAuuxA)\n  - [ECE1508: Deep Generative Models - Summer 2025 - UofT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcFgNUo9s_AgUro3pIv1BoGOzNIVh4mpP)\n  \n- #### **Computer Vision**\n  - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)\n  - [CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzWRmD0Vi2KVsrCqA4VnztE4t71KnTnP5)\n  - [Machine Learning for Robotics and Computer Vision, WS 2013\u002F2014 - TU München](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fws2013\u002Fml_ws13) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl))\n  - [COGSCI 1 - Intro to Cognitive Science Summer 2022 - UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaMjLYzDGxvz1oT5gpFiY6rJZnlJ-1Xu-)\n  - [Informatics 1 - Cognitive Science 2015\u002F16- University of Edinburgh](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Finf1cs.htm)\n  - [Informatics 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf2a\u002Fschedule.html)\n  - [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F105\u002F108105103\u002F)\n  - [Extreme Classification ](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH)\n  - [EECS 498\u002F598 - Deep Learning for Computer Vision - University of Michigan - Fall 2019](https:\u002F\u002Fweb.eecs.umich.edu\u002F~justincj\u002Fteaching\u002Feecs498\u002FFA2019\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r))\n  - [Computer Vision - FAU Spring 2021](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2306) ([Spring 2018](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F734))\n  - [CAP5415 Computer Vision - UCF Fall 2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_InWyCQtwqQ7y6KnwhxNCgRf)\n  - [CAP6412 Advanced Computer Vision - UCF Spring 2024](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcourses\u002Fcap6412-spring-2024\u002Fschedule\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_IlSr0ua4v8WQezazAMXEJE4))\n  - [CU Boulder CSCI 5722 Computer Vision - CU Boulder Spring 2025](https:\u002F\u002Fwww.byhand.ai\u002Fp\u002Fcomputer-vision-lectures) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0cq-CiC5QhutrhhsLLiybg2OehFOftI9))\n  - [Advanced Deep Learning for Computer vision (ADL4CV) (IN2364) - TU Munich](https:\u002F\u002Fdvl.in.tum.de\u002Fteaching\u002Fadl4cv-ss20\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLog3nOPCjKBnjhuHMIXu4ISE4Z4f2jm39))\n  - [Advanced Deep Learning for Physics (ADL4P) - TU Munich](https:\u002F\u002Ftum-pbs.github.io\u002FADL4P\u002F)\n  - [Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375) - TU Munich](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLog3nOPCjKBkamdw8F6Hw_4YbRiDRb2rb)\n  \n- #### **Time Series Analysis**\n  - [02417 Time Series Analysis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtiTxpFJ4k6TZ0g496fVcQpt_-XJRNkbi)\n  - [Applied Time Series Analysis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLl0FT6O_WWDBm-4W-eoK34omYmEMseQDX)\n  \n- #### **Optimization**\n  - [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M-pmLzCoMu_ANU6atEFyyJl)\n  - [Rochester DSCC 435 Optimization for Machine Learning fall 2023, by Jiaming Liang](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuJY91x7h5orCtyh6mChurVQ2ZZef9qPF)\n  - [Princeton ELE539\u002FCOS512 Optimization for Machine Learning spring 2021, by Chi Jin](https:\u002F\u002Fsites.google.com\u002Fview\u002Fcjin\u002Fteaching\u002Fece539cos512-2021-ver)\n  - [UT Dallas CS 7301 Advanced Topics in Optimization for Machine Learning spring 2021, by Rishabh Iyer](https:\u002F\u002Fgithub.com\u002Frishabhk108\u002FAdvancedOptML) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGod0_zT9w92_evaYrf3-rE67AmgPJoUU))\n  - [Convex Analysis, Summer 2021 - TU Braunschweig](https:\u002F\u002Fwww.tu-braunschweig.de\u002Findex.php?eID=dumpFile&t=f&f=128341&token=3c40ee32c6c029df85f7e552522f4a87470e3401) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPomPKAI5ZlJBThiwc3bya7qngzw9-0QD))\n  - [EE364a: Convex Optimization I - Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h)\n  - [EE364b: Convex Optimization II - Stanford University](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FEE364B) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGrZHfnLv54ksX-0TMKYPCZDx9NZyYh9c))\n  - [10-725 Convex Optimization, Spring 2015 - CMU](http:\u002F\u002Fwww.stat.cmu.edu\u002F~ryantibs\u002Fconvexopt-S15\u002F)\n  - [10-725 Convex Optimization: Fall 2016 - CMU](http:\u002F\u002Fwww.stat.cmu.edu\u002F~ryantibs\u002Fconvexopt\u002F)\n  - [10-725 Optimization Fall 2012 - CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~ggordon\u002F10725-F12\u002Fschedule.html)\n  - [10-801 Advanced Optimization and Randomized Methods - CMU](http:\u002F\u002Fwww.cs.cmu.edu\u002F~suvrit\u002Fteach\u002Faopt.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d))\n  - [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http:\u002F\u002Fam207.github.io\u002F2016\u002Findex.html)\n  - [MIT 6.S098 Applied Convex Optimization IAP 2022, by Alexandre Amice, Benoit Legat](https:\u002F\u002Falexandreamice.github.io\u002Fteaching\u002Fconvex_optimization\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5SG6ajT9NZKxdvM1jQOLXmeKO7MfyLxR))\n  - [UVic Math 428 \u002F 529 Discrete Optimization fall 2025, by Jonathan A. Noel](https:\u002F\u002Fextremalcombinatorics.com\u002Foptimization\u002Fnotes\u002Fsec_optimizationIntro.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtxJg53s2o0MAC2sfZDuhKYAHgj_NrGVv))\n  - [University of Twente Discrete Optimization, by Marc Uetz](https:\u002F\u002Fmarcuetz.personalweb.utwente.nl\u002Fdo\u002F) ([Fall 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBUY9e1MCruRr5-I24LNm4g))\n  - [UC Davis MAT 168 Optimization winter 2024, by Matthias Köppe](https:\u002F\u002Fvideo.ucdavis.edu\u002Fchannel\u002FMAT+168+Optimization+%28Matthias+K%C3%B6ppe%3B+Winter+2024%29\u002F329241352)\n  - [Purdue University CHE 597 Computational Optimization spring 2025, by Can Li](https:\u002F\u002Fcanli1.github.io\u002Fcourses)\n  - [UCSD CS292F Convex Optimization Spring 2020, by Yu-Xiang Wang](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FCS292F-2020Spring\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTN4aNO9NiB5VxYILKPBXoy9g1tUqmnBx))\n  - [UIUC ECE 490 Introduction to Optimization fall 2020, by Venugopal V. Veeravalli](https:\u002F\u002Fcourses.grainger.illinois.edu\u002Fece490\u002Ffa2020\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKC5wSXtE6s2qdSYutRH1AUU))\n  - [University of Wisconsin-Madison CS\u002FECE\u002FISyE 524 Introduction to Optimization spring 2017-18, by Laurent Lessard](https:\u002F\u002Flaurentlessard.com\u002Fteaching\u002F524-intro-to-optimization\u002F)\n  - [University of Wisconsin-Madison ISyE\u002FMath\u002FCS\u002FStat 525 Linear Optimization fall 2021, by Alberto Del Pia](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeO_PhASIA0Ot69TqANAnNxoykHGOQp2Y)\n  - [University of Wisconsin-Madison ISyE\u002FMath\u002FCS 728 Integer Optimization (second part of the course) spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLeO_PhASIA0NlDNF9y-SsgVEYcvAMj2CY)\n  - [Columbia IEOR E4007 Optimization Models and Methods 2005, by Garud Iyengar](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCNQ2xHRwrLOxkEWv9OfGiF)\n  - [UC Berkeley EECS 127 \u002F 227A Optimization Models in Engineering](https:\u002F\u002Feecs127.github.io\u002F) ([Spring 2024 lectures](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAgyZlPB5QU5Size4whyrf3))\n \n- #### **Unsupervised Learning**\n  - [CS294 Deep Unsupervised Learning Spring 2024](https:\u002F\u002Fsites.google.com\u002Fview\u002Fberkeley-cs294-158-sp24\u002Fhome)\n  - [Deep Unsupervised Learning -- Berkeley Spring 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)\n  - [CS294-158 Deep Unsupervised Learning SP19](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCf4SX8kAZM_oGcZjMREsU9w\u002Fvideos)\n  - [UC San Diego COGS 118A Supervised Machine Learning fall 2020, by Jason Fleischer](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaaNbhBDEsoF_ad5N2mlOsvB-RwSTYUjQ)\n  - [UC San Diego COGS 118B Unsupervised Machine Learning winter 2024, by Jason Fleischer](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaaNbhBDEsoEU9RRbwCqJWFAZH2LjNwBN)\n  - [UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKB133Vh7zxsxFoblyfS4P5Y)\n  - [Johns Hopkins Unsupervised Learning spring 2017, by Rene Vidal](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaBAmmD3yH4Nta9Y6g9hOV4dcnpTzeW4q)\n  - [Unsupervised Learning (STAT 841), Winter 2017](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK)\n  \n- #### **Misc Machine Learning Topics**\n  - [Quantum Machine Learning | 2021 Qiskit Global Summer School](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)\n  - [CS 6955 - Clustering, Spring 2015, University of Utah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)\n  - [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http:\u002F\u002Fblogs.ischool.berkeley.edu\u002Fi290-abdt-s12\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE8C1256A28C1487F))\n  - [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)\n  - [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)\n  - [Statistical Learning Theory, Spring 2019 - ETH Zürich](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-infk\u002F2019\u002Fspring\u002F252-0526-00L.html)\n  - [Course on the Statistical Learning Theory, University of São Paulo, ICMC](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKWX1jIoUZaVpVhMfevAE7iYNcDHPEJI_)\n  - [Reinforcement Learning - UCL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo)\n  - [Regularization Methods for Machine Learning 2016](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F493251615310f9b6ae1f483126292378137074cd) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO))\n  - [Statistical Inference in Big Data - University of Toronto](http:\u002F\u002Ffields2015bigdata2inference.weebly.com\u002Fmaterials.html)\n  - [Reinforcement Learning - IIT Madras](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106143\u002F)\n  - [Statistical Rethinking Winter 2015 - Richard McElreath](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)\n  - [Foundations of Machine Learning - Blmmoberg Edu](https:\u002F\u002Fbloomberg.github.io\u002Ffoml\u002F#home)\n  - [Introduction to reinforcement learning - UCL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)\n  - [Statistical Foundation of Reinforcement Learning - UCSD, by Yu-Xiang Wang, Spring 2021](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FRLCourse-2021Spring\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTN4aNO9NiB5X8HkOBTkIfZ8VFSLH1W8W))\n  - [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)\n  - [Big Data Systems (WT 2019\u002F20) - Prof. Dr. Tilmann Rabl - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1286\u002F)\n  - [Distributed Data Analytics (WT 2017\u002F18) - Dr. Thorsten Papenbrock - HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1179\u002F)\n  - [Introduction to Data-Centric AI - MIT](https:\u002F\u002Fdcai.csail.mit.edu\u002F)\n  - [Parallel Computing and Scientific Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)\n  - [Machine Learning System Design - System Design Fight Club](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlvnxKilk3aKx0oFua-HTtFf-d_inQ8Qn)\n  - [UT Austin ECE 381V Bandits and Online Learning fall 2021, by Sanjay Shakkottai](https:\u002F\u002Fdocs.google.com\u002Fdocument\u002Fd\u002F1r6jXNd1DD9o8v4q4XqxShRXWYdhtLMjEXWDzuv0T6LU\u002Fedit)\n  - [UCSD MATH 273B Information Geometry and its Applications winter 2022, by Melvin Leok](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHZhjPByiV3L94AeJ9FcK1yrnRDOt3Vit)\n  - [Cornell ECE 5545 Machine Learning Hardware and Systems Spring 2022, by Mohamed Abdelfattah](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)\n  - [High Dimensional Analysis: Random Matrices and Machine Learning by Roland Speicher](https:\u002F\u002Frolandspeicher.com\u002Flectures\u002Fcourse-on-high-dimensional-analysis-random-matrices-and-machine-learning-summer-term-2023\u002F)([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLY11JnnnTUCabY4nc0hKptrd5qEWtLoo2))\n  - [ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcByDTr7vRTYJ2s6DL-3bzjGwtQif33y3)\n  - [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https:\u002F\u002Fpeople.ece.uw.edu\u002Fbilmes\u002Fclasses\u002Fee512\u002Fee512_fall_2014\u002F)\n  - [University of Wisconsin-Madison CS\u002FECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley](https:\u002F\u002Fmediaspace.wisc.edu\u002Fchannel\u002FCS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning\u002F191748913)\n  - [University of Maryland CMSC828U Algorithms in Machine Learning: Guarantees and Analyses fall 2020, by Furong Huang](https:\u002F\u002Fwww.cs.umd.edu\u002Fclass\u002Ffall2020\u002Fcmsc828u\u002F\u002Fschedule\u002F) ([YouTube playlist](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLM0SC1uXFSPo5TO_UN7fia1luj73yuHEC))\n  - [Statistical Physics of Machine Learning](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL04QVxpjcnjgzMr9ehyZUSkwu0Wr0cF_N)\n  - [11-755 - Machine Learning for Signal Processing, CMU](https:\u002F\u002Fcmu-mlsp.github.io\u002Fmlspcourse\u002Fschedule\u002F) ([YouTube-2024](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWhigAi1mTpO3Rw-1D2b2AowYeIU5eRzD), [YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWhigAi1mTpPMV3hECmkEv3s8Lc8H_VUd))\n  - [Machine Learning for 3D Data, Fall 2023, KAIST](https:\u002F\u002Fmhsung.github.io\u002Fkaist-cs479-fall-2023\u002F)\n  - [Machine Learning for Physicists, Spring 2019, FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F778) ([Spring 2017](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F574))\n  - [CSCE 585 - Machine Learning Systems, University of South Carolina](https:\u002F\u002Fpooyanjamshidi.github.io\u002Fmls\u002Flectures\u002F) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtkQf9LiEmLFS56WTpRJ3PZwwCYyi2Cdu))\n  - [CS-E4740 - Federated Learning, Spring 2023, Aalto University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrbn2dGrLJK8c6hCQXBVFoYsPXG-g_75c)\n  - [Uncertainty Modeling in AI | National University of Singapore](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxg0CGqViygOb9Eyc8IXM27doxjp2SK0H)\n\n------------------------------\n\n\n\n\n### 计算机网络\n\n- [CS 144 计算机网络导论 - 斯坦福大学，2013年秋季](http:\u002F\u002Fwww.scs.stanford.edu\u002F10au-cs144\u002F) ([讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6RdenZrxrw9inR-IJv-erlOKRHjymxMN))\n- [计算机网络：自顶向下方法](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm556dMNleHc1MWN5BX9B2XkwkNE2Djiu)\n- [计算机通信网络，伦斯勒理工学院 - 2001年秋季](https:\u002F\u002Fwww.ecse.rpi.edu\u002FHomepages\u002Fkoushik\u002Fshivkuma-teaching\u002Fvideo_index.html) ([视频](https:\u002F\u002Fwww.ecse.rpi.edu\u002FHomepages\u002Fkoushik\u002Fshivkuma-teaching\u002Fvideo_index.html#ccn_video)) ([幻灯片](https:\u002F\u002Fwww.ecse.rpi.edu\u002FHomepages\u002Fkoushik\u002Fshivkuma-teaching\u002Fvideo_index.html#ccn_foils))\n- [华盛顿大学圣路易斯分校 Raj Jain 教授讲座的音视频记录和播客](http:\u002F\u002Fwww.cse.wustl.edu\u002F~jain\u002Fvideos.htm) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FProfRajJain\u002Fplaylists))\n- [计算机网络，Tanenbaum, Wetherall 计算机网络第5版 - 视频讲座](http:\u002F\u002Fmedia.pearsoncmg.com\u002Fph\u002Fstreaming\u002Fesm\u002Ftanenbaum5e_videonotes\u002Ftanenbaum_videoNotes.html)\n- [CSEP 561 - PMP 网络系统，2013年秋季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F13au\u002F) ([视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F13au\u002Fvideo\u002F))\n- [CSEP 561 – 网络系统，2008年秋季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F08au\u002F) ([视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep561\u002F08au\u002Flectures\u002F))\n- [ECE\u002FCS 438 - 通信网络，2020年秋季 - UIUC](https:\u002F\u002Fcourses.physics.illinois.edu\u002Fcs438\u002Ffa2020\u002F)\n- [计算机网络 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105081\u002F)\n- [数据通信导论 2013，Steven Gordon - 泰国法政大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF8u4iC7hFTMVC_WD6SEpnkx)\n- [复杂网络导论 - RIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE9AAD550EA21F3DC)\n- [计算机网络与互联网协议 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbRMhDVUMngf-peFloB7kyiA40EptH1up)\n- [网络的结构分析与可视化](http:\u002F\u002Fwww.leonidzhukov.net\u002Fhse\u002F2015\u002Fnetworks\u002F)\n- [哥伦比亚大学 ELEN E4703 无线通信，2006年春季，由 Angel Lozano 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAaY0VGGjQ2whITq23AOjaR)\n- [哥伦比亚大学 COMS W4119 计算机网络，2004年秋季，由 Vishal Misra 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCh6XgTHofe6zPK_LQ_nVW3)\n- [哥伦比亚大学 ELEN E4710 网络工程导论，2004年秋季，由 Dan Rubenstein 主讲](https:\u002F\u002Fwww.cs.columbia.edu\u002F~danr\u002Fcourses\u002F4710\u002FFall04\u002F) ([视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKClQelPKe2f05aReRMncyR7))\n- [数据通信 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105082\u002F)\n- [纠错码 - 印度科学研究所班加罗尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117108044\u002F)\n- [信息论与编码 - 印度理工学院孟买分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117101053\u002F)\n- [复杂网络：理论与应用 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105154\u002F)\n- [高级3G和4G无线移动通信 - 印度理工学院坎普尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117104099\u002F)\n- [宽带网络：概念和技术 - 印度理工学院孟买分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117101050\u002F)\n- [编码理论 - 印度理工学院马德拉斯分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106031\u002F)\n- [数字通信 - 印度理工学院孟买分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117101051\u002F)\n- [数字语音与图像通信 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105081\u002F)\n- [无线自组织网络与传感器网络 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105160\u002F)\n- [TCP\u002FIP 网际互连，Christoph Meinel 教授主讲 - HPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAfY5VrkObHTckZHwPsS1VCA)\n- [CS798：计算机网络的数学基础 - 滑铁卢大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFB088DB91845CA34)\n- [CS 168 互联网导论：体系结构与协议，2022年秋季 - 加州大学伯克利分校](https:\u002F\u002Ffa22.cs168.io\u002F) ([2022年秋季 YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKD4RbcpiXKeyXrIImw-mGd-)) ([2025年春季](https:\u002F\u002Fsp25.cs168.io\u002F))\n- [通信网络高级专题，2022年秋季 - 苏黎世联邦理工学院](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-itet\u002F2022\u002Fautumn\u002F227-0575-00L.html)\n- [CS\u002FECE 438 通信网络 [F23] - UIUC](https:\u002F\u002Frrc-uiuc.notion.site\u002FCommunication-Networks-F23-d37ef65a3d1b4b7ba3d49d929c03d546)\n\n------------------------------\n\n### 计算机科学家的数学\n\n- [数学课程涵盖所有主题 - 可汗学院](https:\u002F\u002Fwww.khanacademy.org\u002Fmath\u002F)\n- **微积分**\n  - [18.01 单变量微积分，2006年秋季 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-01-single-variable-calculus-fall-2006\u002F)\n  - [18.02 多变量微积分，2007年秋季 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-02-multivariable-calculus-fall-2007\u002F)\n  - [18.03 微分方程，2010年春季 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-03-differential-equations-spring-2010\u002F)\n  - [微积分要点 - 吉尔伯特·斯特兰格，MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fresources\u002Fres-18-005-highlights-of-calculus-spring-2010\u002F)\n  - [MAT123 微积分导论（2015年秋季） - 石溪大学](https:\u002F\u002Fwww.math.stonybrook.edu\u002F~scott\u002Fmat123.fall15\u002F)\n  - [工程师用向量微积分 - 香港科技大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkZjai-2JcxnYmkg6fpzz4WFumGVl7MOa)\n- **离散数学**\n  - [6.042J - 计算机科学中的数学，MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-042j-mathematics-for-computer-science-fall-2010\u002Fvideo_galleries\u002Fvideo-lectures\u002F) \n  - [18.200 - 离散应用数学原理，MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-200-principles-of-discrete-applied-mathematics-spring-2024\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [加州大学伯克利分校计算机科学70，离散数学与概率论 - 2025年秋季](https:\u002F\u002Fwww.eecs70.org\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDV7TrbTokEDN0haWwiV_xp))\n  - [CSE 547 离散数学，斯金纳教授，石溪大学](http:\u002F\u002Fwww3.cs.stonybrook.edu\u002F~algorith\u002Fmath-video\u002F)\n  - [离散结构（2011年夏季） - 罗格斯大学，新泽西州立大学](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdiscrete-structures-summer\u002Fid698728837)\n  - [离散数学与数学推理 2015\u002F16 - 爱丁堡大学](https:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Fdmmr\u002F)\n  - [离散数学结构 - 印度理工学院马德拉斯](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106094\u002F)\n  - [离散结构 - 佩珀代因大学](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fcourse\u002Fdiscrete-structures\u002Fid546468789)\n  - [卡内基梅隆大学21 228 离散数学 2021年春季，由Po-Shen Loh主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgTkKBA6LRqYuuQ-LboerRblBoD_q_eUM)\n  - [COMP2804：离散结构II](https:\u002F\u002Fcglab.ca\u002F~morin\u002Fteaching\u002F2804\u002F)\n- **概率与统计**\n  - [统计学 - CrashCourse](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr)\n  - [6.041 概率系统分析与应用概率 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013\u002F)\n  - [斯坦福CS109 计算机科学家的概率导论 I 2022 I Chris Piech](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg)\n  - [MIT RES.6-012 概率导论，2018年春季 - MIT](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6)\n  - [哈佛大学统计学110 - 概率](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)\n  - [UC Berkeley STAT 2.1x：描述性统计 | UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_Ig1a5kxu56TfFnGlRlH2YpOBWGiYsQD)\n  - [STAT 2.2x：概率 | UC Berkeley](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_Ig1a5kxu57qPZnHm-ie-D7vs9g7U-Cl)\n  - [慕课 - 统计学：理解数据，Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002Fa0cbaf3e03e0893085b6fbdc97cb6220896dddf2)\n  - [慕课 - 统计学一 - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLycnP7USbo1V3jlyjAzWUB201cLxPq4NP)\n  - [概率与随机过程 - 印度理工学院卡拉格布尔](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105085\u002F)\n  - [慕课 - 统计推断 - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgIPpm6tJZoSvrYM54BUqJJ4CWrYeGO40)\n  - [131B - 概率与统计导论，UCI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqOZ6FD_RQ7k-j-86QUC2_0nEu0QOP-Wy)\n  - [STATS 250 - 统计学与数据分析导论，密歇根大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL432AB57AF9F43D4F)\n  - [集合、计数与概率 - 哈佛大学](http:\u002F\u002Fmatterhorn.dce.harvard.edu\u002Fengage\u002Fui\u002Findex.html#\u002F1999\u002F01\u002F82347)\n  - [有观点的统计学课程](http:\u002F\u002Fwww.opinionatedlessons.org\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUAHeOPjkJseXJKbuk9-hlOfZU9Wd6pS0))\n  - [统计学 - 布兰登·福尔茨](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FBCFoltz\u002Fplaylists)\n  - [统计再思考：使用R和Stan的贝叶斯课程](https:\u002F\u002Fgithub.com\u002Frmcelreath\u002Fstatrethinking_winter2019) ([讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus)) ([书籍](http:\u002F\u002Fwww.stat.columbia.edu\u002F~gelman\u002Fbook\u002F))\n  - [02402 概率导论 E12 - 丹麦技术大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMn2aW3wpAtPC8tZHQy6nwWsFG7P6sPqw) ([F17](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgowegO9Se58_BnUNnaARajEE_bX-GJEz))\n  - [工程概率（ECSE-2500） - RPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BU1dN2G6ncyiMbML7OXh_Jx)\n  - [普渡大学ECE302 数据科学概率导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4FSfq6xtSvyqsbgrYDeyV0WWXlXqwy2M)\n  - [本科生概率课程，罗曼·维尔希宁教授](https:\u002F\u002Fwww.math.uci.edu\u002F~rvershyn\u002Fteaching\u002Fugp\u002Fugp.html)\n  - [高维概率](https:\u002F\u002Fwww.math.uci.edu\u002F~rvershyn\u002Fteaching\u002Fhdp\u002Fhdp.html)\n  - [数学统计 - 2024年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrPZH-fknPLak0tlUpUISBZR) ([YouTube-2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrOk5-wIki_oOxHJnNj0_437))\n  - [贝叶斯数据分析](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLBqnAso5Dy7O0IVoVn2b-WtetXQk5CDk6)\n  - [贝叶斯机器学习与信息处理](https:\u002F\u002Fbiaslab.github.io\u002Fteaching\u002Fbmlip\u002F) ([YouTube-2021\u002F22](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkDDgjnfkmCELsBXiCKCVIHKHSjl-rpkJ)) ([YouTube-2020\u002F21](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkDDgjnfkmCH4zq9_ul-KaTsk-1j1EVEo))\n  - [马尔可夫过程 - 2023年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrP3rME2XvFvE4Q5vI3H_7_Z)\n  - [测度论概率](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLyj1Zd4UWrO6VtBSiQLsNlo9QBm30nxC)\n  - [因果推断课程 - 布雷迪·尼尔](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoazKTcS0RzZ1SUgeOgc6SWt51gfT80N0)\n  - [因果推断 -- 在线讲座（硕士\u002F博士级别)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyvUJLHD8IsJCB7ALqwjRG1BjL5JxE__H)\n  - [机器学习与因果推断：短期课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-)\n  - [因果推断乔纳斯·彼得斯](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzERW_Obpmv-_EXTV1zTmlv-Ab5Tfbp8X)\n  - [UIUC ECE 534 随机过程 2020年秋季 - 伊兰·肖莫罗尼](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-1IrJp1jTK_w1lh0qOwLx3)\n  - [ISyE 320 模拟与概率建模 2022年春季，谢巧敏主讲 - 威斯康星大学麦迪逊分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-7c512A5mwIn_J90z8Awgd)\n  - [剑桥统计学原理 2020年，阿尔贝托·J·科卡主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLn1JSlh3WT_YBwXFUfRAb1ZOXnPYDgVNa)\n  - [UC Berkeley STAT 150 随机过程 2021年春季，布雷特·科列斯尼克主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_H6exlt8NMfBSc0137_wlo)\n  - [UIUC Math 564 应用随机过程 2016年秋季，凯·柯克帕特里克主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-5C_U0ml6O2kM1s1Yo-D9D)\n  - [CS\u002FECE 561 - 机器学习中的概率与信息理论](https:\u002F\u002Fmediaspace.wisc.edu\u002Fchannel\u002FCS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning\u002F191748913)\n  - [UCLA Stats 10 统计推理导论 2022年夏季，迈尔斯·陈主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCk7fc69zL_cOogOPQBzXhn)\n  - [UCLA Stats 101C 统计模型与数据挖掘 2022年夏季，迈尔斯·陈主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAYdlamMMGkNGJuKFVYvYER)\n  - [UCLA Stats 102A 计算统计入门 2024年冬季，迈尔斯·陈主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCiE3kiMI7ofuQ3wmXQUcmx)\n  - [UCLA Stats 102B 统计计算与优化 2024年春季，迈尔斯·陈主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKD4XftRgjRlTITljOx792YN)\n  - [UCLA Stats 102C 蒙特卡洛方法导论 2023年秋季，迈尔斯·陈主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDv0fZ7RxMGPuaa1Yqx_bzh)\n  - [UCLA Stats 200B 理论统计 2024年冬季，阿拉什·阿米尼主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SwfzKyD47bMBmwJnKeezZCW) ([2023年冬季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0Sw03Ffmuq8prIVSoTI3yVyR))\n  - [UCLA Stats 200C 高维统计 2022年春季，阿拉什·阿米尼主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SzyrvojbW4UZQjVG1CnBFMd) ([2021年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0Sy-nbvOCLgt6uIQsOnmG-iV))\n  - [UCLA Stats 203 大样本理论 2021年秋季，景怡·杰西卡·李主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1P5GG-9U8eJPL_MIsl1_8Zh) ([2020年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1NKukTVwMADi1D5dbufWJkz))\n  - [UCSD Math 280 概率论和随机过程，托德·肯普主讲](https:\u002F\u002Fmathweb.ucsd.edu\u002F~tkemp\u002FProbabilityTube\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@toddkemp-probability\u002Fplaylists))\n  - [中东技术大学 EE 531 概率和随机过程，埃利夫·乌萨尔主讲](https:\u002F\u002Focw.metu.edu.tr\u002Fcourse\u002Fview.php?id=323)\n  - [6.262 离散随机过程 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-262-discrete-stochastic-processes-spring-2011\u002F)\n  - [18.650 应用统计 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-650-statistics-for-applications-fall-2016\u002Flecture-videos\u002F)\n  - [UC Berkeley STAT240 - 稳健统计](https:\u002F\u002Fwww.stat.berkeley.edu\u002F~jsteinhardt\u002Fstat240\u002Findex.html)\n- **线性代数**\n  - [机器学习的数学基础（2021年秋季） - 芝加哥大学 - 丽贝卡·威莱特](https:\u002F\u002Fwillett.psd.uchicago.edu\u002Fteaching\u002Fmathematical-foundations-of-machine-learning-fall-2021\u002F)\n  - [18.06 - 线性代数，吉尔伯特·斯特兰格教授，MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-06sc-linear-algebra-fall-2011\u002F)\n  - [18.065 数据分析、信号处理和机器学习中的矩阵方法 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n  - [威斯康星大学麦迪逊分校 ECE\u002FCS\u002FME 532 机器学习中的矩阵方法 2017年秋季，由洛朗特·莱萨尔主讲](https:\u002F\u002Flaurentlessard.com\u002Fteaching\u002F532-matrix-methods\u002F)\n  - [普林斯顿大学线性代数](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGqzsq0erqU7w7ZrTZ-pWWk4-AOkiGEGp)\n  - [慕课：通过计算机科学应用学习线性代数 - Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F54cd86f3038dfd446b037891406ba4e0b1200d5a)\n  - [布朗大学 CS 053 - 编码矩阵](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs053\u002Fcurrent\u002Flectures.htm) ([14年秋季视频](https:\u002F\u002Fcs.brown.edu\u002Fvideo\u002Fchannels\u002Fcoding-matrix-fall-2014\u002F))\n  - [卡内基梅隆大学线性代数回顾](http:\u002F\u002Fwww.cs.cmu.edu\u002F~zkolter\u002Fcourse\u002Flinalg\u002Foutline.html)\n  - [线性代数第一课 - N J Wildberger - UNSW](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL44B6B54CBF6A72DF)\n  - [矩阵代数导论](http:\u002F\u002Fma.mathforcollege.com\u002Fyoutube\u002Findex.html)\n  - [计算线性代数 - fast.ai](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY) ([Github](https:\u002F\u002Fgithub.com\u002Ffastai\u002Fnumerical-linear-algebra))\n  - [斯坦福大学 ENGR108：应用线性代数导论—向量、矩阵和最小二乘法](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9)\n  - [MIT 18.S096 矩阵微积分用于机器学习及其他领域](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE)\n  - [康奈尔大学 MATH 2940 工程师用线性代数 2009年春季，安迪·鲁伊纳主讲](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FMATH%2B2940%2B-%2BLinear%2BAlgebra%2Bfor%2BEngineers%2BSpring%2B2009\u002F114208531)\n- [10-600 ML数学背景 - 卡内基梅隆大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)\n- [MIT 18.065 数据分析、信号处理和机器学习中的矩阵方法](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmathematics\u002F18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018\u002Fvideo-lectures\u002F)\n- [稀疏线性系统的直接方法 - 蒂姆·戴维斯教授 - UFL](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5EvFKC69QIyRLFuxWRnH6hIw6e1-bBXB)\n- [36-705 - 中级统计 - 拉里·瓦瑟曼，卡内基梅隆大学](http:\u002F\u002Fwww.stat.cmu.edu\u002F~larry\u002F=stat705\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcW8xNfZoh7eI7KSWneVWq-7wr8ffRtHF))\n- [组合数学 - 印度科学研究所班加罗尔](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108051\u002F)\n- [圣母大学高等工程数学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85Ae4pzlylMLzq_a-RHPx8ryA)\n- [圣母大学科学家与工程师的统计计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85AeltIRcjDY7Z4q49NEAuMcA)\n- [圣母大学2017年秋季统计计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd-PuDzW85AcSgNGnT5TUHt85SrCljT3V)\n- [UC Berkeley 243统计计算导论，2015年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCJjCMep25BtbRwehuNTd-l) ([2015年的笔记](https:\u002F\u002Fgithub.com\u002Fberkeley-stat243\u002Fstat243-fall-2015)) ([2014年的YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDwAtmOYy_dY_tPuE_8Gc68)) ([2014年的笔记](https:\u002F\u002Fgithub.com\u002Fberkeley-stat243\u002Fstat243-fall-2014)) ([2013年的YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBj_b9jy_ZkQM3v4r9iLocO))\n- [图宾根机器学习团队乌尔丽克·冯·卢克斯堡主讲的机器学习数学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)\n- [2018年7月IIT鲁尔基的机器学习必备数学 - YouTube讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLy_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE)\n- [图宾根机器学习团队2022\u002F23年冬季的机器学习数值计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij2lwDdj7IkuHoP9vHlEcH0s)\n- [非线性动力学与混沌 - 斯蒂文·斯特罗加茨，康奈尔大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbN57C5Zdl6j_qJA-pARJnKsmROzPnO9V)\n- [弗吉尼亚理工大学的非线性动力学与混沌](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUeHTafWecAUqSh3Gy0NNr7H3OsXoC-aK)\n- [光滑流形上的优化导论（附书） - EPFL](https:\u002F\u002Fwww.nicolasboumal.net\u002Fbook\u002F)\n- [数学建模](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXsDp0z6VWFT5ZM86xh8i1AMFYxnrefLk)\n- [大规模凸优化：通过单调算子的算法与分析 - 厄内斯特·瑞和沃涛·殷](https:\u002F\u002Fwww.youtube.com\u002F@large-scaleconvexoptimizat2973\u002Fvideos)\n- [泰瑞尔·洛克菲勒2021年关于变分分析的概述](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIismQEEd55Fnzllb-HEYK6k8dMmz2ctj)\n- [华盛顿大学AMATH 584 应用线性代数与数值分析，内森·库茨主讲](https:\u002F\u002Ffaculty.washington.edu\u002Fkutz\u002Fam584\u002Fam584.html)\n- [华盛顿大学AMATH 584 应用线性代数与数值分析入门，2005年秋季，由洛伊斯·亚当斯主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-NKDk9uLzRaTOnHPpr4knp)\n- [斯坦福CME 206 工程数值方法导论，2005年春季，查贝尔·法哈特主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem97Nk-jJCqUiYZmwpCxMuYF)\n- [斯坦福CME 200 线性代数及其在工程计算中的应用，2004年秋季，玛戈特·格里岑主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-ZiiCDz7C6bVRjxJ5P35zk)\n- [斯坦福CME 302 数值线性代数，2007年秋季，由吉恩·戈卢布主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem-OlrG8LXfWQJ2kV_4mpAau)\n- [特温特大学2021年数值线性代数，由马尔廷·安东尼斯主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLRb3xghOQGNKbUt8zIRpwrQ-SZ6aIZNvt)\n- [2018年秋季数值线性代数，由贾格尔·秋主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLep-kTP3NkcMdmrw07VsKFt87FT584Cpd)\n- [MIT 6.S955 应用数值算法，2023年秋季，由贾斯汀·所罗门主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ3UicqQtfNv_Io_NT1b0Nzr9YDqpK3Lb)\n- [MIT 6.7350 数值算法用于计算和机器学习，2025年秋季，由贾斯汀·所罗门主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ3UicqQtfNsivZX5TmUAoUkkBqFT8aOL)\n- [UC Berkeley Math 54 线性代数与微分方程，2022年春季，由亚历山大·保利尼主讲](https:\u002F\u002Fmath.berkeley.edu\u002F~apaulin\u002F54%20(Spring%202022).html) ([2021年夏季，由彼得·科罗捷夫主讲](https:\u002F\u002Fmath.berkeley.edu\u002F~pkoroteev\u002Fmath54.html)) ([2020年夏季，由卢夫里特·桑加主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLShth7hrtLHO2U1XkrI6ZgMyuPHDxRcob)) ([2018年春季，由亚历山大·保利尼主讲](https:\u002F\u002Fmath.berkeley.edu\u002F~apaulin\u002F54_001(Spring2018).html))\n- [UC Berkeley Math 55 离散数学，2021年秋季，由尼基尔·斯里瓦斯塔瓦主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaVBOvvdB5ctaLM6AmkUaODhd4JhyP_zC)\n- [UC Berkeley Math 56 线性代数，2023年秋季，由亚历山大·保利尼主讲](https:\u002F\u002Fmath.berkeley.edu\u002F~apaulin\u002F56%20(Fall%202023).html)\n- [2020年春季机器人学基础数学，由肯·富山主讲](https:\u002F\u002Fwww.youtube.com\u002F@citqualityeducation803\u002Fvideos)\n- [桑杰·沙科泰的简短因果推断课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcip-Gs_jEK_l2pNG8V_0UDK9jyPtLyuq)\n- [UCLA STAT 100C 线性模型，2023年春季，由阿拉什·阿米尼主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLN_qg0-2-0SzrzpEoojAa4anJdaKa49GM)\n- [密歇根州立大学计算数学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ-krWGO-UEyLqtyA2pACX_tXXBTLWkI1)\n- [苏黎世联邦理工学院的数据科学数学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLiud-28tsatIKUitdoH3EEUZL-9i516IL)\n- [FAU数据科学数学1 - 2021年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2297) ([2020年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F1234))\n- [工程数学（UW ME564和ME565） - 史蒂夫·布鲁顿](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNR2W2sPWsYxfrxcASrUt_9j)\n- [科学计算入门 - 史蒂夫·布鲁顿](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNRTVrHYDfjNyqzZ6Q6rsTyf)\n- [贾达夫普尔大学：ML基础数学_秋季23](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcNLn_ApooUyoctc147F-49oHnfvuj3Yt)\n- [FAU：逆问题_秋季21](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F2705)\n- [EdX第一门关于SparseLand的课程，由迈克尔·埃拉德主讲 - 理论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0H3pMD88m8W39EbuArGLa9yXk8q6QGip)\n- [EdX第二门关于SparseLand的课程，由迈克尔·埃拉德主讲 - 实践](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0H3pMD88m8X2DeBI-iidbbPCe9kEKxzJ)\n\n------------------------------\n\n\n\n### 网页编程与互联网技术\n- [CS50的Python和JavaScript网页编程](https:\u002F\u002Fwww.edx.org\u002Fcourse\u002Fcs50s-web-programming-with-python-and-javascript)\n- [加州大学伯克利分校网页设计课程 - HTML\u002FCSS\u002FJavaScript](http:\u002F\u002Fwdd.io\u002F)\n- [哈佛大学CS 75动态网站构建](http:\u002F\u002Fcs75.tv\u002F2012\u002Fsummer\u002F)\n- [印度理工学院卡拉格布尔分校互联网技术课程](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105084\u002F)\n- [印度理工学院马德拉斯分校现代应用开发导论](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106156\u002F)\n- [纽约州立大学布法罗分校CSE 199互联网工作原理，2016年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLk97mPCd8nvbxGGfkYkBXrSEvpTc1xTF8)\n- [德克萨斯大学开源选修课：数据库与Rails - Ruby on Rails入门](https:\u002F\u002Fwww.schneems.com\u002Fut-rails)（[讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7A85FD7803A8CB1F)）\n- [华盛顿大学CSE154网页编程，2020年春季](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse154\u002F20sp\u002F)（[视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrE1feouzSWqcgK0Lvt3r_8AwN6UndaOD)）\n- [华盛顿大学CSEP545电子商务事务处理，2012年冬季](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep545\u002F12wi\u002F)（[视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep545\u002F12wi\u002Fvideo\u002F)）\n- [科罗拉多州立大学CT 310网页开发](https:\u002F\u002Fwww.cs.colostate.edu\u002F~ct310\u002Fyr2016sp\u002Fhome_progress.php)\n- [2012年泰国朱拉隆功大学史蒂文·戈登的互联网技术与应用](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF9cfLMTE-42fiBsWvBsOEkS)\n- [东田纳西州立大学CSCI 3110高级网页开发专题，2011年秋季 iTunes](https:\u002F\u002Fitunes.apple.com\u002FWebObjects\u002FMZStore.woa\u002Fwa\u002FviewPodcast?id=454017618)\n- [东田纳西州立大学CSCI 5710电子商务实施，2015年秋季 iTunes](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fe-commerce-implementation\u002Fid1020427670)\n- [Udacity MOOC - 网页开发](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPlLXUhUNt1wINWrrH9axjcI)\n- [HPI克里斯托夫·迈内尔教授的Web技术课程](https:\u002F\u002Fopen.hpi.de\u002Fcourses\u002Fwebtech2015\u002Fitems\u002F4oqxq6euKfhXgHOMwFBxbn)\n\n------------------------------\n\n### 理论计算机科学与编程语言\n\n- [麻省理工学院 18.404J 计算理论 - 2020年秋季 - 讲义](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-404j-theory-of-computation-fall-2020\u002Fpages\u002Flecture-notes)\n- [麻省理工学院 18.404J 计算理论 - 2020年秋季 - 视频讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY)\n- [慕课 - 编译器 - 斯坦福大学](https:\u002F\u002Farchive.org\u002Fdetails\u002Facademictorrents_e31e54905c7b2669c81fe164de2859be4697013a)\n- [康奈尔大学 CS 6120：高级编译器——自学在线课程](https:\u002F\u002Fwww.cs.cornell.edu\u002Fcourses\u002Fcs6120\u002F2020fa\u002Fself-guided\u002F)\n- [加州大学伯克利分校 CS 164：黑客你的语言](https:\u002F\u002Fsites.google.com\u002Fa\u002Fbodik.org\u002Fcs164\u002Fhome)（[讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS)）\n- [计算理论 - Shai Simonson](http:\u002F\u002Fwww.aduni.org\u002Fcourses\u002Ftheory\u002Findex.php?view=cw)\n- [布朗大学 CS 173：编程语言](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs173\u002F2012\u002FVideos\u002F)（[书籍](http:\u002F\u002Fcs.brown.edu\u002Fcourses\u002Fcs173\u002F2012\u002Fbook\u002F)）\n- [卡内基梅隆大学 CS 理论工具包 2020](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3ZYpFLwwrlv_EHH9wtH6pnX)\n- [伊利诺伊大学厄巴纳-香槟分校 CS 421：编程语言与编译器](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs421\u002Ffa2014\u002F)\n- [罗切斯特大学 CSC 253：CPython 内部机制——Python 解释器源代码的十小时代码讲解](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzV58Zm8FuBL6OAv1Yu6AwXZrnsFbbR0S)\n- [华盛顿大学 CSE341：编程语言，Dan Grossman，2013年春季](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse341\u002F13sp\u002F)\n- [华盛顿大学 CSEP 501：编译器构造](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep501\u002F09au\u002Flectures\u002Fvideo.html)（[讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTPQEx-31JXhfAWGnGzwbfhB2zUB7Jd4C)）\n- [华盛顿大学 CSEP 505：编程语言，2015年冬季](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep505\u002F15wi\u002Fvideo\u002F)\n- [惠顿学院 DMFP：离散数学与函数式编程](http:\u002F\u002Fcs.wheaton.edu\u002F~tvandrun\u002Fdmfp\u002F)\n- [伊利诺伊大学厄巴纳-香槟分校 CS 374：算法与计算模型（2014年秋季）](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs498374\u002Ffa2014\u002Flectures.html)（[讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0v718LJg-7_4Zwx3CE7kZ398mhlB2TqF473)）\n- [麻省理工学院 6.045 自动机、可计算性与复杂性](https:\u002F\u002Fstellar.mit.edu\u002FS\u002Fcourse\u002F6\u002Fsp15\u002F6.045\u002Fmaterials.html)（[讲座视频](http:\u002F\u002Fstellar.mit.edu\u002FS\u002Fcourse\u002F6\u002Fsp15\u002F6.045\u002Fspecial\u002Fvideos\u002Findex.html)）\n- [慕课 - 自动机 - Jeffrey Ullman - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL82C4B8475CAC3F95)\n- [波特兰州立大学 CS581：计算理论](http:\u002F\u002Fweb.cecs.pdx.edu\u002F~harry\u002Fvideos\u002F)（[讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbtzT1TYeoMjNOGEiaRmm_vMIwUAidnQz)）\n- [加州大学戴维斯分校 2011年秋季计算理论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLslgisHe5tBM8UTCt1f66oMkpmjCblzkt)\n- [查尔姆斯理工大学 TDA555：函数式编程导论](http:\u002F\u002Fwww.cse.chalmers.se\u002Fedu\u002Fcourse\u002FTDA555\u002Findex.html)（[讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIQ9jYeUxhgqEnjey91yRTITaXqZQy3Ta)）\n- [Ryan O'Donnell 理论计算机科学演讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3bLpmu56cDd1PUTp-aJVaTo)\n- [Philip Wadler Haskell 讲座录音](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtRG9GLtNcHBv4cuh2w1cz5VsgY6adoc3)\n- [诺丁汉大学 函数式编程（2021）](http:\u002F\u002Fwww.cs.nott.ac.uk\u002F~pszgmh\u002Fpgp.html)\n- [爱丁堡大学 函数式编程 - 2016-17](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf1\u002Ffp\u002F)\n- [慕课 - Martin Odersky 的 Scala 函数式编程原理](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002Fafigfigueira\u002Fplaylists?sort=dd&view=50&shelf_id=9)\n- [伯克利大学 CS294：面向所有人的程序合成](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~bodik\u002Fcs294fa12)\n- [慕课 - 反应式编程原理，Scala - Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMhMDErmC1TdBMxd3KnRfYiBV2ELvLyxN)\n- [程序员的范畴论，2014 - Bartosz Milewski](https:\u002F\u002Fbartoszmilewski.com\u002F2014\u002F10\u002F28\u002Fcategory-theory-for-programmers-the-preface\u002F)（[YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbgaMIhjbmEnaH_LTkxLI7FMa2HsnawM_)）\n- 俄勒冈编程语言夏季学校（证明论、类型论、范畴论、验证）\n  - [2012年讲座](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer12\u002Fcurriculum.html)\n  - [2013年讲座](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer13\u002Fcurriculum.html)\n  - [2014年讲座](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer14\u002Fcurriculum.html)\n  - [2015年讲座](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer15\u002Fcurriculum.html)\n  - [2016年讲座](https:\u002F\u002Fwww.cs.uoregon.edu\u002Fresearch\u002Fsummerschool\u002Fsummer16\u002Fcurriculum.php)\n  - [最新 YT 播放列表](https:\u002F\u002Fwww.youtube.com\u002F@OPLSS\u002Fplaylists)\n- [爱丁堡大学 Inf1：计算与逻辑 2015](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf1\u002Fcl\u002F)\n- [爱丁堡大学 INFORMATICS 1：FUNCTIONAL PROGRAMMING](http:\u002F\u002Fwww.inf.ed.ac.uk\u002Fteaching\u002Fcourses\u002Finf1\u002Ffp\u002F)（[视频](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2015\u002Finf1fp.htm)）\n- [印度科学研究所 班加罗尔 编译器设计](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108052\u002F)\n- [印度理工学院 卡普尔 编译器设计](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104123\u002F)\n- [印度理工学院 德里 编程语言原理](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102067\u002F)\n- [印度科学研究所 班加罗尔 编译器设计原理](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108113\u002F)\n- [印度理工学院 马德拉斯 Haskell 中的函数式编程](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106137\u002F)\n- [印度理工学院 卡普尔 计算理论](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104148\u002F)\n- [印度理工学院 马德拉斯 自动机、形式语言与计算理论](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106049\u002F)\n- [印度理工学院 卡普尔 计算理论](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104028\u002F)\n- [印度理工学院 德里 CS 逻辑](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102013\u002F)\n- [斯沃斯莫尔学院 编译器设计原理](https:\u002F\u002Fwww.cs.swarthmore.edu\u002F~jpolitz\u002Fcs75\u002Fs16\u002Findex.html)\n- [卡内基梅隆大学 本科生复杂性理论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YL5vLXpzOyJiLtqLp6dCW2)\n- [卡内基梅隆大学 研究生复杂性理论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3b8Gg1DdaJOzYNsaXYLAOKH)\n- [卡内基梅隆大学 理论计算机科学中的伟大思想](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3aafQm568blS9blxtA_EWQv) \n  - [另一个链接](https:\u002F\u002Fwww.cs251.com\u002F)\n- [卡内基梅隆大学 布尔函数分析](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YypJNaF6sRAf2zC1QzMuTA)\n- [理论计算机科学（衔接课程）（教程）- 2015年夏季](http:\u002F\u002Fais.informatik.uni-freiburg.de\u002Fteaching\u002Fss15\u002Fbridging\u002F)\n- [鲁汶天主教大学 LINFO2132：语言与翻译](https:\u002F\u002Fnorswap.com\u002Fcompilers\u002F)\n- [Sorav Bansal 的编译器设计](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLf3ZkSCyj1tf3rPAkOKY5hUzDrDoekAc7)\n- [OCaml 编程：正确 + 高效 + 美观](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLre5AT9JnKShBOPeuiD9b-I4XROIJhkIU)\n- [哥伦比亚大学 IEOR E4004 运筹学导论：确定性模型，2005年夏季，由 Jay Sethuraman 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKCVGq8cQ9MCBEm5wVXGsDpw)\n- [哥伦比亚大学 IEOR E4106 运筹学导论：随机模型，2005年春季，由 Ward Whitt 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDJMIOWQcnSSzKDFOG_dF4r)\n- [哥伦比亚大学 ELEN E6711 信息系统中的随机模型，2005年秋季，由 Yuliy Barsyhnikov 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9dvI-8vjxlPkM5onW9WoIp)\n- [哥伦比亚大学 ELEN E6717 信息论，2003年秋季，由 Vittorio Castelli 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_IUZIFzlJi8vCTtS-Xi8eY)\n- [华盛顿大学 EE514A\u002FEE515A - 信息论 I\u002FII，2013年秋季，由 Jeff Bilmes 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLFze15KrfxbGsPDYxeLyeYorlHSBsTPv0)\n- [卡内基梅隆大学 15 150 函数式编程原理，2023年夏季，由 Brandon Wu 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLsydD1kw8jng2t2G8USQNLz0faYZetPnH)\n- [卡内基梅隆大学 21 738 极值组合学，2020年春季，由 Po-Shen Loh 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgTkKBA6LRqaGKITvQS1QuIBoEbOVwFTm)\n- [约翰霍普金斯大学 特定领域语言（DSL）课程（2018年夏季）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLW-6wqFEcgTqHMXV_8jI43QLkCv8VgqLk)\n- [2019年春季 - 概率可检查与交互式证明系统（Alessandro Chiesa）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIyWWtxCPBHwGsrutjvwM5_U)\n- [斯坦福大学 代数编码理论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkvhuSoxwjI_UudECvFYArvG0cLbFlzSr)\n- [哥伦比亚大学 CS60094 计算数论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLG63srgJBCAiOJ0hGikoiTq0CsUg_OGKu)\n\n------------------------------\n\n\n\n### 嵌入式系统\n\n- [EE319K 嵌入式系统 - 德克萨斯大学奥斯汀分校](http:\u002F\u002Fusers.ece.utexas.edu\u002F~valvano\u002FVolume1\u002FE-Book\u002FVideoLinks.htm)\n- [EE445L 嵌入式系统设计实验室，2015年秋季，德克萨斯大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyg2vmIzGxXGBxFu8nvX3KBadSdsNAvbA)\n- [CS149 嵌入式系统导论 - 2011年春季 - 加州大学伯克利分校](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLu0nzW8Es1x0RIvuWdw1Diez2Clk8xAX5)\n- [CSE\u002FECE 474 嵌入式系统导论 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse474\u002F23sp\u002F) ([讲座 - YouTube-2021年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyB1_dMg8sy8W2EMtSUymI3KpAhXBQOlT))\n- [ECE 4760 微控制器设计，2016年秋季，康奈尔大学](http:\u002F\u002Fpeople.ece.cornell.edu\u002Fland\u002Fcourses\u002Fece4760\u002F) ([讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLKcjQ_UFkrd4I5WOIxHEYZ7iY04lj15Ez))\n- [ECE 5760 - 高级微控制器设计与片上系统，2016年春季 - 康奈尔大学](http:\u002F\u002Fpeople.ece.cornell.edu\u002Fland\u002Fcourses\u002Fece5760\u002F)\n- [物联网，由迪特马·P·F·莫勒教授主讲](https:\u002F\u002Fvideo.tu-clausthal.de\u002Fvorlesung\u002F408.html)\n- [18 642 - 嵌入式软件工程，2021年秋季 - 卡内基梅隆大学](https:\u002F\u002Fusers.ece.cmu.edu\u002F~koopman\u002Flectures\u002Findex.html#642)\n- [CSE 351 - 硬件\u002F软件接口，2016年春季 - 华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse351\u002F16sp\u002Fvideos.html) ([Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002Ff1384286c8581bffba11e378fdb37608e649d82a))\n- [ECE 5030 - 电子生物仪器，2014年春季 - 康奈尔大学](http:\u002F\u002Fpeople.ece.cornell.edu\u002Fland\u002Fcourses\u002Fece5030\u002F)\n- [ECE\u002FCS 5780\u002F6780 - 嵌入式系统设计，2014年春季 - 犹他大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)\n- [EECS 373 - 嵌入式系统设计导论 - 密歇根大学](https:\u002F\u002Fwww.eecs.umich.edu\u002Fcourses\u002Feecs373\u002Flectures.html) ([讲座 - YouTube-2024年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDe8F9fr1j_QULxa7xCozweLKYI4cXun4)) ([讲座 - YouTube-2023年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDe8F9fr1j_R2ljCeIq2FOLHaeZ6tBV_o))\n- [嵌入式系统课程 - 第一版 - 2011年 - 北卡罗来纳大学夏洛特分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE4462C1C306E2EB2)\n- [基于瑞萨RX63N处理器的嵌入式系统 - 第三版 - 北卡罗来纳大学夏洛特分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPIqCiMhcdO5gxLJWt_hY5CPMzqg75IU5)\n- [嵌入式系统的软件工程（2011\u002F12冬季） - 波茨坦HPI大学](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F864\u002F)\n- [嵌入式软件测试 - 马德拉斯印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106112\u002F)\n- [嵌入式系统 - 德里印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108102045\u002F)\n- [嵌入式系统设计 - 卡拉格布尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105159\u002F)\n- [基于ARM的开发 - 马德拉斯印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106111\u002F)\n- [自适应系统的软件工程 - iTunes - 波茨坦HPI大学](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fsoftware-engineering-for-self\u002Fid993578475)\n- [EE260 嵌入式系统，由罗伯特·帕兹主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnvE9iJk1wvib_pdUPdQGYZrkrmg9mf__)\n- [物联网暑期学校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHih6DnKQaoYQ5PIT3Tp-UrqUguDYWYQu)\n- [ECSE 421 - 嵌入式系统 - 麦吉尔大学](http:\u002F\u002Fwww.cim.mcgill.ca\u002F~jer\u002Fcourses\u002Fes\u002F)\n- [NOC：高级物联网应用 - 班加罗尔印度科学研究所](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F108\u002F108108123\u002F)\n- [NOC：物联网设计 - 班加罗尔印度科学研究所](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F108\u002F108\u002F108108098\u002F)\n\n------------------------------\n\n### 实时系统评估\n\n- [计算机系统的性能评估 - 马德拉斯印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106\u002F106\u002F106106048\u002F)\n- [实时系统 - 卡拉格布尔印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106\u002F105\u002F106105036\u002F)\n- [EE 380 计算机系统研讨会 - 斯坦福大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu)\n- [系统存储 - 班加罗尔印度科学研究所](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106\u002F108\u002F106108058\u002F)\n- [高性能计算 - 班加罗尔印度科学研究所](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2F82ECDF8BB71B0C)\n- [2023年高性能计算课程，莫里斯·里德尔教授](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmJwSK7qduwUBwrFn3SY8vi4AYa2rVTWH) ([2022年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmJwSK7qduwWyqcSEB45HOyxq--z8njix))\n- [高性能计算 | Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPk8NaXIiFQXWK6VPnrtMRXC)\n- [UCLA 统计学205 层次线性模型，2024年春季，由李静怡主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1O2HbRr4gORnscbM9EszYbK)\n- [佛罗里达大学EML 6934 最优控制，2012年春季，由阿尼尔·V·拉奥主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKBCJ9JyHfBi4ftc9FDCtaBc)\n- [物联网与数据科学的实际算法 - 伊利诺伊大学厄巴纳-香槟分校](https:\u002F\u002Frrc-uiuc.notion.site\u002FReal-World-Algorithms-for-IoT-and-Data-Science-74d8f612f74a4c1689760dafa31ef93d)\n\n------------------------------\n\n### 计算机组织与体系结构\n\n- **计算机组成原理**\n  - [计算机是如何工作的 - Aduni](http:\u002F\u002Faduni.org\u002Fcourses\u002Fhcw\u002Findex.php?view=cw)\n  - [CS 61C - 计算机系统结构，加州大学伯克利分校2015年春季](http:\u002F\u002Fwww.infocobuild.com\u002Feducation\u002Faudio-video-courses\u002Fcomputer-science\u002Fcs61c-spring2015-berkeley.html) \n  - [6.004 - 计算结构，2013年春季，麻省理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)\n  - [CS\u002FECE 3810 计算机组成原理，2015年秋季，犹他大学](http:\u002F\u002Fwww.cs.utah.edu\u002F~rajeev\u002Fcs3810\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm7BxCUdWqZzjZ-jRe73KUfj2GsSS2FPy))\n  - [数字计算机组织 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105078\u002F)\n  - [计算机组织 - 印度理工学院马德拉斯分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106092\u002F)\n  - [CS-224 - 计算机组成原理，2009-2010年春季，比尔肯特大学](http:\u002F\u002Fvideo.bilkent.edu.tr\u002Fcourse_videos.php?courseid=16) ([YouTube播放列表](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhwVAYxlh5dvB1MkZrcRZy6x_a2yORNAu))\n  - [INFORMATICS 2C - 计算机系统导论（2016年秋季）- 爱丁堡大学](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2014\u002Finf2c-cs.htm)\n- **计算机体系结构**\n  - [18-447 - 计算机体系结构导论，卡内基梅隆大学](http:\u002F\u002Fwww.ece.cmu.edu\u002F~ece447\u002Fs15\u002Fdoku.php?id=schedule) ([讲座 - YouTube - 2015年秋季](https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq))\n  - [CSEP 548 - 计算机体系结构，2012年秋季，华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep548\u002F12au\u002Fvideo\u002Findex.html)\n  - [CS\u002FECE 6810 计算机体系结构，2016年春季，犹他大学](http:\u002F\u002Fwww.cs.utah.edu\u002F~rajeev\u002Fcs6810\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8EC1756A7B1764F6))\n  - [MOOC - 计算机体系结构，David Wentzlaff - 普林斯顿大学\u002FCoursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F53bae6d22f3b6e692673f9335e0a0198c1618426)\n  - [计算机体系结构 - 苏黎世联邦理工学院 - 2019年秋季](https:\u002F\u002Fsafari.ethz.ch\u002Farchitecture\u002Ffall2019\u002Fdoku.php?id=schedule)\n  - [数字电路与计算机体系结构 - 苏黎世联邦理工学院 - 2017年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi-IXWTT7xoNYpst5-zdZQ6y)\n  - [计算机体系结构 - 印度理工学院德里分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102062\u002F)\n  - [计算机体系结构 - 印度理工学院坎普尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104122\u002F)\n  - [计算机体系结构 - 印度理工学院马德拉斯分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106134\u002F)\n  - [高性能计算机体系结构 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105033\u002F)\n  - [BE5B35APO - 计算机体系结构，2025年春季，捷克理工大学 - FEE](https:\u002F\u002Fcw.fel.cvut.cz\u002Fb242\u002Fcourses\u002Fb35apo\u002Fen\u002Flectures\u002Fstart) ([RISC-V模拟器 - QtRvSim](https:\u002F\u002Fcomparch.edu.cvut.cz\u002F)), ([YouTube - 2025年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQL6z4JeTTQl3tUGV5kM5Wt9ziZrV-fpI)), ([YouTube - 2022年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQL6z4JeTTQnTrML7HgagbjdpCtvdyu0M))\n  - [BE4M35PAP - 高级计算机体系结构，2025年冬季，捷克理工大学 - FEE](https:\u002F\u002Fcw.fel.cvut.cz\u002Fb251\u002Fcourses\u002Fb4m35pap\u002Flectures\u002Fstart) ([VHSky.cz - 2025年冬季](https:\u002F\u002Fvhsky.cz\u002Fw\u002Fp\u002F8jhsHuueWNpjXWVcJTBg88))\n  - [CS773：面向性能与安全的计算机体系结构 - 印度理工学院孟买分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLw6vmiIQrilQ-KhbMAMeh9_eddYjHRjb6)\n  - [COL718 - 高性能计算机体系结构 - 印度理工学院德里分校](https:\u002F\u002Fwww.cse.iitd.ac.in\u002F~srsarangi\u002Fcourses\u002F2020\u002Fcol_718_2020\u002Findex.html)\n  - [CS 695：虚拟化与云计算 - 印度理工学院孟买分校 - 2021年春季](https:\u002F\u002Fwww.cse.iitb.ac.in\u002F~cs695\u002F)\n- **并行计算机体系结构**\n  - [15-418 - 并行计算机体系结构与编程，卡内基梅隆大学](http:\u002F\u002F15418.courses.cs.cmu.edu\u002Fspring2015\u002F) ([讲座视频](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22a5862643-2416-49ef-b46b-13465d1b6df0%22))\n  - [CS 267 并行计算机的应用，2018年春季 - 加州大学伯克利分校](https:\u002F\u002Fsites.google.com\u002Flbl.gov\u002Fcs267-spr2018\u002F) ([YouTube - 2018年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIx1CL7aIN9BwFL_sttEzfQ7)) ([笔记 - 2016年春季](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~demmel\u002Fcs267_Spr16\u002F)) ([YouTube - 2016年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkFD6_40KJIzSfxr35ZT59-LZcibZmfp2))\n  - [MOOC - 异构并行编程 - Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F8903d0871c652b96c7b29db738cea76902d65888)\n  - [ECE 498AL - 大规模并行处理器编程](https:\u002F\u002Fnanohub.org\u002Fresources\u002F7225)\n  - [ECE 1756 - 可重构计算与FPGA体系结构 - 多伦多大学 - 2020年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUKkY-JJArvBOeaNPXBz5Pe3gXuBqdeSA) ([YouTube - 2022年秋季](https:\u002F\u002Fwww.youtube.com\u002F@UofT-FPGA\u002Fstreams))\n  - [并行计算 - 印度理工学院德里分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102114\u002F)\n  - [并行体系结构2012\u002F13 - 爱丁堡大学](http:\u002F\u002Fgroups.inf.ed.ac.uk\u002Fvision\u002FVIDEO\u002F2012\u002Fpa.htm)\n- **数字系统设计**\n  - [ELEC2141 数字电路设计，新南威尔士大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLB52B8F4E464CEEF7)\n  - [数字系统设计 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105080\u002F)\n  - [数字设计课程 - 2015年 - 北卡罗来纳大学夏洛特分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPIqCiMhcdO7bBmieyG5u41x2Ogcn67Bs)\n- [CS1 - 高级计算 - Richard Buckland 新南威尔士大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6B940F08B9773B9F)\n- [MOOC - 从NAND到Tetris - 从第一性原理构建现代计算机](https:\u002F\u002Fwww.nand2tetris.org\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNMIACtpT9BfztU0P92qlw8Gd4vxvvfT1))\n- [系统验证，代尔夫特理工大学](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fsystem-validation\u002F)\n- [高性能计算 - 印度科学研究所班加罗尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106108055\u002F)\n- [ARM入门 - Open SecurityTraining](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUFkSN0XLZ-n91t_AX5zO007Giz1INwPd)\n- [x86（32位）简介 - Open SecurityTraining](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL038BE01D3BAEFDB0)\n- [x86（32位）进阶 - Open SecurityTraining](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL8F8D45D6C1FFD177)\n- [EECS 151 \u002F 251A 数字设计与集成电路导论 - 加州大学伯克利分校 - 2025年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKDxxeCDskQsOOr5eBacGmJL)\n- [数字电路设计 - 苏黎世联邦理工学院 - 2019年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi8J58xLKBNFQFHRO3GrXxA9)\n- [Onur Mutlu @ 维也纳工业大学2019年 - 内存系统](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi_gntM55VoMlKlw7YrXOhbl)\n- [内存系统课程 - 特克尼翁理工学院，2018年夏季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5Q2soXY2Zi-IymxXpH_9vlZCOeA7Yfn9)\n- [加州大学伯克利分校 EECS16A 信息设备与系统设计I，2020年夏季，由Grace Kuo、Panos Zarkos、Urmita Sikder主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9_svw6nCsGOaDZaYSjpgcB)\n- [加州大学伯克利分校 EECS 16B 信息设备与系统设计II，2020年秋季，由Seth Sanders、Miki Lustig主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem_QO6og7qXyvjMUHXNI7Hqs)\n- [EE 503 - 统计信号处理与建模 - 2020年秋季 - 中东技术大学](https:\u002F\u002Focw.metu.edu.tr\u002Fcourse\u002Fview.php?id=350) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLhAAV-jkgAdx8wIshnGR6GZeJSXXC6cxl))\n- [ELEN E4810 - 数字信号处理 - 2013年秋季，哥伦比亚大学](https:\u002F\u002Fwww.ee.columbia.edu\u002F~dpwe\u002Fe4810\u002Foutline.html)\n- [ELEN E4896 - 音乐信号处理 - 2016年春季，哥伦比亚大学](https:\u002F\u002Fwww.ee.columbia.edu\u002F~dpwe\u002Fe4896\u002Foutline.html)\n- [哥伦比亚大学 ELEN E6820 语音与音频处理，2006年春季，由 Dan Ellis 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem8IpOKncIUSEFsYWoJyS5ks)\n- [CMU 11 751 \u002F 18 781 语音识别与理解，2023年秋季，由 Shinji Watanabe 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfVqr2l0FG-tW8d5ZSz-_tCgQed_F1ndb) ([2022年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfVqr2l0FG-u7chWKPQMDoT0o-I2ejxeK))\n- [CMU 11 492 语音处理，2021年秋季，由 Alan W. Black 主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL682UO4IMem9InUp3CZHL4g7IwzfKXe3c)\n\n------------------------------\n\n\n\n### 安全\n\n- [互联网安全（WT 2018\u002F19）——波茨坦大学 HPI](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1227\u002F)\n- [6.1600 计算机安全基础——麻省理工学院 2023 年秋季](https:\u002F\u002F61600.csail.mit.edu\u002F2023\u002F)\n- [6.858 计算机系统安全——麻省理工学院开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-858-computer-systems-security-fall-2014\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [CS 253 Web 安全——斯坦福大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL1y1iaEtjSYiiSGVlL1cHsXN_kvJOOhu-)\n- [CS 161：计算机安全，加州大学伯克利分校](https:\u002F\u002Ffa23.cs161.org\u002F)（[2023 年秋季视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfBkt1-_BHX_VxOWlmstguFxojSN742vz)）（[2025 年春季视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfBkt1-_BHX8kQZhisgrCLAnuAd3-Ek5U)）（[2025 年春季](https:\u002F\u002Fsp25.cs161.org\u002F)）\n- [6.875 ——密码学 ——2021 年秋季 ——麻省理工学院](https:\u002F\u002Fmit6875.github.io\u002Ffall2021.html)（[2018 年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6ogFv-ieghe8MOIcpD6UDtdK-UMHG8oH)）\n- [CSEP590A ——现代密码学的实践方面，2011 年冬季 ——华盛顿大学](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep590a\u002F11wi\u002F)（[视频](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep590a\u002F11wi\u002Fvideo\u002F)）\n- [CS461\u002FECE422 ——计算机安全 ——伊利诺伊大学厄巴纳-香槟分校](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs461\u002Fsp2016\u002F)（[视频](https:\u002F\u002Frecordings.engineering.illinois.edu:8443\u002Fess\u002Fportal\u002Fsection\u002F8a560718-345a-417a-b665-6bd375a71ee2)）\n- [密码学导论，Christof Paar ——德国鲁尔大学博鸿分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwJWuZfL_Ga2KJrTf9hOIgAQWkSpn9RNm)\n- [ECS235B 计算机与信息安全基础 ——加州大学戴维斯分校](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fcomputer-science-foundations\u002Fid389259109)\n- [CIS 4930\u002FCIS 5930 ——进攻性计算机安全，佛罗里达州立大学](http:\u002F\u002Fwww.cs.fsu.edu\u002F~redwood\u002FOffensiveComputerSecurity\u002Flectures.html)\n- [信息安全导论 I ——印度理工学院马德拉斯分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106129\u002F)\n- [信息安全 ——II ——印度理工学院马德拉斯分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106141\u002F)\n- [密码学导论 ——印度理工学院鲁尔基分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106107155\u002F)\n- [密码学与网络安全 ——印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106105031\u002F)\n- [18-636 浏览器安全，斯坦福大学](https:\u002F\u002Fcourseware.stanford.edu\u002Fpg\u002Fcourses\u002F334553\u002F18636-spring-2013)\n- [互联网安全——弱点与目标（WT 2015\u002F16）](https:\u002F\u002Fwww.tele-task.de\u002Farchive\u002Fseries\u002Foverview\u002F1084\u002F)（[WT 2012\u002F13](https:\u002F\u002Fwww.tele-task.de\u002Farchive\u002Fseries\u002Foverview\u002F921\u002F)（[YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLVWVhkyKd-7taP50fB9PeZ2W_EPTOLD8o)））\n- [IT 安全，Steven Gordon ——泰国塔玛沙大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF9-XSGfm-3uA9DfF7plasCF)\n- [安全与密码学，Steven Gordon ——泰国塔玛沙大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLvifRcqOOwF-z2sfMb3w0uQzd7PfaLFlU)\n- [慕课 ——密码学 ——Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL58C6Q25sEEHXvACYxiav_lC2DqSlC7Og)\n- [慕课 ——信息安全导论 ——Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPkG-z00NybuIyDqT4sRh3ak)\n- [ICS 444 ——计算机与网络安全](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLciCszvvRCTV09wIXJwiPmYF7thHiq4En)\n- [在线社交网络中的隐私与安全 ——印度理工学院马德拉斯分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106146\u002F)\n- [恶意软件动态分析 ——Open SecurityTraining](http:\u002F\u002Fopensecuritytraining.info\u002FMalwareDynamicAnalysis.html)（[YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUFkSN0XLZ-kqYbGpY4Gt_VATd4ytQg-Z)）\n- [CSN09112 ——网络安全与密码学 ——Bill Buchanan ——爱丁堡龙比亚大学](https:\u002F\u002Fasecuritysite.com\u002Fcsn09112)\n- [CSN10107 ——安全测试与网络取证 ——Bill Buchanan ——爱丁堡龙比亚大学](https:\u002F\u002Fasecuritysite.com\u002Fcsn10107)\n- [CSN11123 ——高级云与网络取证 ——Bill Buchanan ——爱丁堡龙比亚大学](https:\u002F\u002Fasecuritysite.com\u002Fcsn11123)\n- [CSN11117 ——电子安全 ——Bill Buchanan ——爱丁堡龙比亚大学](https:\u002F\u002Fasecuritysite.com\u002Fcsn11117)\n- [CSN08704 ——电信 ——Bill Buchanan ——爱丁堡龙比亚大学](https:\u002F\u002Fasecuritysite.com\u002Fcsn08704)\n- [CSN11128 ——事件响应与恶意软件分析 ——Bill Buchanan ——爱丁堡龙比亚大学](https:\u002F\u002Fasecuritysite.com\u002FCSN11128)\n- [面向初学者的互联网安全，Christoph Meinel 博士 ——HPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoOmvuyo5UAdsi-IacgZJQF1MRw0Ee-HH)\n- [进攻性安全与逆向工程，Chaplain 大学，Ali Hadi](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCS2zI95IiNybAAQ0HL88YzwRpLXje5y6)\n- [计算机系统安全，2020 年秋季，Vinod Ganapathy，印度科学研究所班加罗尔分院](https:\u002F\u002Fwww.csa.iisc.ac.in\u002F~vg\u002Fteaching\u002FSecurityLectures\u002F)\n- [加州大学伯克利分校 CS 161 计算机安全，2021 年夏季，Nicholas Ngai 和 Peyrin Kao](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAPoe_0mUsXYaxZfsFyQyFE)\n- [加州大学圣地亚哥分校 CS291A 差分隐私，2021 年秋季，Yu-Xiang Wang](https:\u002F\u002Fcseweb.ucsd.edu\u002F~yuxiangw\u002Fclasses\u002FDPCourse-2021Fall\u002F)（[YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTN4aNO9NiB7UiBbSFznHRSkdieBc0-sk)）\n- [零知识证明慕课，加州大学伯克利分校去中心化与人工智能研究中心](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS01nW3Rtgor_yJmQsGBZAg5XM4TSGpPs)\n- [多媒体安全，2017 年秋季，FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F786)\n\n------------------------------\n\n### 计算机图形学\n\n- [ECS 175 - 计算机图形学，2009年秋季 - 加州大学戴维斯分校](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Fcomputer-graphics-fall-2009\u002Fid457893733?mt=10)\n- [6.837 - 计算机图形学 - 2017年春季 - 麻省理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkHIj5SCfn3_PCotoqTetMpJc_jkpkgLt)\n- [6.838 - 形状分析 - 2017年春季 - 麻省理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkHIj5SCfn3-FeWqD3xeOZWP2kQYY654o)\n- [计算机图形学导论 - 德里印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102065\u002F)\n- [计算机图形学 - 马德拉斯印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106090\u002F)\n- [2012年计算机图形学，沃尔夫冈·许尔斯，乌特勒支大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLDFA8FCF0017504DE)\n- [CS 5630\u002F6630 - 可视化，2016年秋季，犹他大学](http:\u002F\u002Fdataviscourse.net\u002F2016\u002Findex.html)（[讲座 - YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0)）\n- [加州大学戴维斯分校高级可视化课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLslgisHe5tBNnySlj9TlL-n-4jNEK-xgi)\n- [2011年秋季计算机图形学，芭芭拉·赫克尔](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9C949E9F19381E61)\n- [用于全局光照的光线追踪，UCDavis](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLslgisHe5tBPckSYyKoU3jEA4bqiFmNBJ)\n- [渲染\u002F光线追踪课程，2015年夏季学期 - 维也纳工业大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi)\n介绍\u002Fid389259246))\n- [计算几何 - 德里印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106102011\u002F)\n- [CS 468 - 计算机科学中的微分几何 - 斯坦福大学](http:\u002F\u002Fgraphics.stanford.edu\u002Fcourses\u002Fcs468-13-spring\u002Fschedule.html)（[讲座视频](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_deCdukpyu1rdH85XsEEREbpoqEauiJl)）\n- [卡内基梅隆大学15-462\u002F662：计算机图形学](http:\u002F\u002F15462.courses.cs.cmu.edu\u002Ffall2020\u002F)\n- [加州大学伯克利分校CS184\u002F284A 计算机图形与成像，2022年春季，任 Ng 主讲](https:\u002F\u002Fcs184.eecs.berkeley.edu\u002Fsp22)（[YouTube播放列表](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKABEUa7EJzO8tgYRz120EpP)）\n- [CS 15-458\u002F858：离散微分几何 - 卡内基梅隆大学 - 2021年春季](https:\u002F\u002Fbrickisland.net\u002FDDGSpring2021\u002F)\n- [IN2124：成像与可视化的基本数学工具 - 慕尼黑工业大学 - 2021年冬季](https:\u002F\u002Flive.rbg.tum.de\u002F?year=2021&term=W&slug=GMMfIuV&view=3)\n\n------------------------------\n\n### 图像处理与计算机视觉\n\n- [数字图像处理 - 印度理工学院卡拉格布尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117105079\u002F)\n- [CS 543 - 计算机视觉 – 2017年春季](https:\u002F\u002Fcourses.engr.illinois.edu\u002Fcs543\u002Fsp2017\u002F) ([录像](https:\u002F\u002Fecho360.org\u002Fsection\u002F283b0471-3d9f-4efb-9c51-bc00e778735e\u002Fhome))\n- [CAP 5415 - 计算机视觉 - 中佛罗里达大学](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcourses\u002Fcap5415-fall-2012\u002F)([视频讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9))\n- [EE637 - 数字图像处理I - 普渡大学](https:\u002F\u002Fengineering.purdue.edu\u002F~bouman\u002Fece637\u002F) ([视频 - 2011年春季](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FModelBasedImaging),[视频 - 2007年春季](https:\u002F\u002Fengineering.purdue.edu\u002F~bouman\u002Fece637\u002Flectures\u002Flectures07\u002F))\n- [计算机视觉I：变分方法 - 慕尼黑工业大学](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fws2015\u002Fvmcv2015) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI))\n- [计算机视觉II：多视图几何 (IN2228)，2016年夏季 - 慕尼黑工业大学](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fss2016\u002Fmvg2016) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4))\n- [EENG 512\u002FCSCI 512 - 计算机视觉 - 科罗拉多矿业学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4B3F8D4A5CAD8DA3)\n- [用于视觉特效的计算机视觉 - RPI](https:\u002F\u002Fwww.ecse.rpi.edu\u002F~rjradke\u002Fcvfxcourse.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a))\n- [图像处理导论 - RPI](https:\u002F\u002Fwww.ecse.rpi.edu\u002F~rjradke\u002Fimproccourse.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX))\n- [CAP 6412 - 高级计算机视觉 - 中佛罗里达大学](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcap6412-spring-2013\u002F)([视频讲座](https:\u002F\u002Fwww.crcv.ucf.edu\u002Fcap6412-spring-2013\u002F)) ([2018年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLd3hlSJsX_ImoNaeX5vFrxogGXTSmS993))\n- [数字信号处理 - RPI](https:\u002F\u002Fwww.ecse.rpi.edu\u002F~rjradke\u002Fdspcourse.html)\n- [加州大学伯克利分校 EE 123 数字信号处理 2003年秋季，由Avideh Zakhor主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAVZtXnfoe689IBTJ2lNMmi)\n- [加州大学伯克利分校 EE 225B 数字图像处理 2006年春季，由Avideh Zakhor主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKAa5Vt6T6Noo8I0VaopzXuH)\n- [佐治亚理工学院 ECE 2026 信号处理导论 2025年春季，由Aaron Lanterman主讲](https:\u002F\u002Fdspfirst.gatech.edu\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOunECWxELQTS8q48sEeJhKZHsEp5uZOK))\n- [佐治亚理工学院 ECE 4270 数字信号处理基础 2021年春季，由David Anderson主讲](https:\u002F\u002Fwww.dropbox.com\u002Fscl\u002Ffi\u002Fbc60530e82kaklgg0o6dm\u002FECE4270-LectureNotes.pdf?rlkey=srgklnkc5032o3g6in9fpk69i&e=2&dl=0) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002F@dspfundamentals\u002Fplaylists))\n- [佐治亚理工学院 ECE 6250 高级数字信号处理 2020年夏季，由David Anderson主讲](https:\u002F\u002Fwww.dropbox.com\u002Fscl\u002Ffi\u002F4vi01toq9p6ldckecgem4\u002FAdvDSP-OneNote2023.pdf?rlkey=k3q14dlcsqnsc270wox5oei8e&e=2&dl=0) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCVaVjGeO3uG1tYDyDTJLb5c_ugIQcgAi))\n- [佐治亚理工学院 ECE 6271 自适应信号处理 2023年冬季，由David Anderson主讲](https:\u002F\u002Fwww.dropbox.com\u002Fscl\u002Ffi\u002Fu7u149sf3u3j1h650a2io\u002FAdaptiveFilters-OneNote2023.pdf?rlkey=y5o9dsb866ba4630cp14otc31&e=2&dl=0) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLCVaVjGeO3uFc4uEy3oFddcEc_8FO_0Sx))\n- [高级视觉2014 - 爱丁堡大学](http:\u002F\u002Fhomepages.inf.ed.ac.uk\u002Frbf\u002FAVINVERTED\u002Fmain_av.htm)\n- [摄影测量课程 - 2015\u002F16 - 德国波恩大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGRsi5vzy9PiQpNWHjq-bKN1)\n- [MOOC - 计算机视觉导论 - Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm)\n- [ECSE-4540 - 数字图像处理导论 - 2015年春季 - RPI](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)\n- [面向计算机视觉的机器学习 - 2017-2018年冬季 - 海德堡大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)\n- [高层视觉 - CBCSL OSU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcXJymqaE9POZaT6UFAUUvrQiVQLfzCLN)\n- [高级计算机视觉 - CBCSL OSU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcXJymqaE9POnU3bVmCVMmtSXzCpcj28T)\n- [图像处理与计算机视觉导论 - CBCSL OSU](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcXJymqaE9PMexHWGgXJVINpr6ajy5vuz)\n- [面向计算机视觉的机器学习 - 慕尼黑工业大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl)\n- [生物特征识别 - 印度理工学院坎普尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106104119\u002F)\n- [定量大影像2019 苏黎世联邦理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTWuXgjdOrnmXVVQG5DRkVeOIGOcTmCIw)\n- [计算机视觉中的多视图几何](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyH-5mHPFffFvCCZcbdWXAb_cTy4ZG3Dj)\n- [面向计算机视觉的现代C++课程 (2020) - 波恩大学](https:\u002F\u002Fwww.ipb.uni-bonn.de\u002Fteaching\u002Fcpp-2020\u002Flectures)\n- [摄影测量1课程 – 2020 - 波恩大学](https:\u002F\u002Fwww.ipb.uni-bonn.de\u002Fphoto1-2020\u002F)\n- [摄影测量II课程 2020\u002F21 - 波恩大学](https:\u002F\u002Fwww.ipb.uni-bonn.de\u002Fphoto2-2020\u002F)\n- [3D计算机视觉 - 新加坡国立大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)\n- [诊断医学图像处理 - 2014年秋季 - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F736) ([2011年秋季](https:\u002F\u002Ffau.tv\u002Fcourse\u002Fid\u002F123)) ([2010年秋季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F52)) ([2009年秋季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F13))\n- [介入医学图像处理 - 2016年春季 - FAU](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F465) ([2015年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F354)) ([2012年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F151)) ([2011年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F105)) ([2009年春季](https:\u002F\u002Fwww.fau.tv\u002Fcourse\u002Fid\u002F3))\n- [计算机视觉进展 - MIT](https:\u002F\u002Fwww.scenerepresentations.org\u002Fcourses\u002F2025\u002Fspring\u002Fadvances-in-cv\u002F)\n- [3D计算机视觉 | 新加坡国立大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)\n------------------------------\n\n### 计算物理\n\n- [天文学中的统计与机器学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLo4wAAMJnA1wDQ2ZmTJCaBYdrXqBWUwT5)\n- [2021年使用Python进行天文数据分析 - NRC IUCAA](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL3jLiVc5sr3P7Uov0VFsEfwPOEG1rF-FO)\n- [SPARC太阳物理与空间天气中的机器学习研讨会 - CESSI 加尔各答印度科学教育与研究学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtxxbMktGS8pjURPBXJTAkClnXVE_ZNni)\n- [大气科学中的数据驱动方法与机器学习 - 印度科学研究所](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnUDCXHuQXBaGrYSbDMWi2inp7GSe3__8)\n- [计算天体物理学 - AstroTwinCoLo, 2015](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw)\n- [2019年天体信息学会议 - 加州理工学院](https:\u002F\u002Fm.youtube.com\u002Fplaylist?list=PL8_xPU5epJdcv2L4MzpzNd6gPyq6glmjc)\n- [用Python进行空间科学研究 - Astroniz](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLNvIBWkEdZ2iCc8G9dvx6MQvBruJG-TE8)\n- [2021年罗格斯大学Python计算物理课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXmUYdQdC9IGv61Y1lhGBH0NsDQRdwcJE)\n- [朗道计算物理课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnWQ_pnPVzmJnp794rQXIcwJIjwy7Nb2U)\n- [高能物理中的统计方法与机器学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL04QVxpjcnjjKDki5FHlKQ8839TGHvj8y)\n- [史蒂夫·布鲁顿的物理信息机器学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBa)\n- [物理信息机器学习与工程结合系列研讨会](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuD_SqLtxSdW5aasHsFTNw_MrZrtu5tZ3)\n- [物理信息机器学习研讨会](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWL3MaEZQ5I2LYm5BAdLYso5wGe9WMNby)\n- [杰克·范德普拉斯：天文学中的机器学习Python教程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzWVyeIO6Cmt1cWrzwF2yqW-9j5TgyQaD)\n------------------------------\n\n### 计算生物学\n\n- [ECS 124 - 生物信息学算法基础 - 丹·加斯菲尔德，加州大学戴维斯分校](http:\u002F\u002Fweb.cs.ucdavis.edu\u002F~gusfield\u002Fcs124videos\u002Fvideolist.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_w_qWAQZtAbh8bHfzXYpdnVKCGCDmmoL))\n- [CSE549 - 计算生物学 - 史蒂文·斯基纳 - 2010年纽约州立大学石溪分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLA48145CC64FE7990)\n- [7.32 系统生物学，2014年秋季 - 麻省理工学院开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fphysics\u002F8-591j-systems-biology-fall-2014\u002F)\n- [6.802J\u002F 6.874J 计算与系统生物学基础 - 麻省理工学院开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F7-91j-foundations-of-computational-and-systems-biology-spring-2014\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [6.S897 医疗健康领域的机器学习](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-s897-machine-learning-for-healthcare-spring-2019\u002Fvideo_galleries\u002Flecture-videos\u002F)\n- [6.047\u002F6.878 基因组学中的机器学习，2020年秋季 - 麻省理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca6dEYlNoZJwBaz__CdsaoKJ)\n- [6.874 麻省理工学院生命科学中的深度学习，2021年春季 - 麻省理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX)\n- [6.047\u002F6.878 麻省理工学院计算生物学公开讲座：基因组、网络、进化](http:\u002F\u002Fcompbio.mit.edu\u002Flectures.html)\n- [Bio 84 - 您的基因与健康，斯坦福大学](https:\u002F\u002Fcmgm.stanford.edu\u002Fbio84\u002F)\n- [生物医学信息学231 计算分子生物学，斯坦福大学](https:\u002F\u002Fcmgm.stanford.edu\u002Fbiochem218\u002F)\n- [生物医学信息学258 基因组学、生物信息学与医学，斯坦福大学](http:\u002F\u002Fbiochem158.stanford.edu\u002F)\n- [03-251：计算分子生物学导论 - 卡内基梅隆大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUKmtlUTHfBPoI70nVz3C-82N4nznc3Iz)\n- [03-712：生物建模与仿真 - 卡内基梅隆大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUKmtlUTHfBOgpZFmTvsTwkUh2K1RAse-)\n- [慕课 - 生物信息学算法：主动学习方法 - 加州大学圣地亚哥分校\u002FCoursera](http:\u002F\u002Fbioinformaticsalgorithms.com\u002Fvideos.htm)\n- [神经网络与生物建模 - 讲师：武尔夫拉姆·格斯特纳教授 - 洛桑联邦理工学院](http:\u002F\u002Fwww.klewel.com\u002Fconferences\u002Fepfl-neural-networks\u002F)\n- [武尔夫拉姆·格斯特纳的视频讲座：计算神经科学 - 洛桑联邦理工学院](http:\u002F\u002Flcn.epfl.ch\u002F~gerstner\u002FVideoLecturesGerstner.html)\n- [系统生物学导论](http:\u002F\u002Fwww.weizmann.ac.il\u002Fmcb\u002FUriAlon\u002Fintroduction-systems-biology-design-principles-biological-circuits)\n- [生物信息学导论，中东技术大学开放课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLuiPz6iU5SQ-PAjlyz4b3EIIQ6dpZ2DE_)\n- [慕课 - DNA测序算法，Coursera](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2mpR0RYFQsBiCWVJSvVAO3OJ2t7DzoHA)\n- [与W·马克·索尔兹曼一起探索生物医学工程前沿 - 耶鲁大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL27E877E8206F196B)\n- [NOC：计算系统生物学 - 马德拉斯印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F102\u002F106\u002F102106068\u002F)\n- [NOC：生物信息学：算法与应用 - 马德拉斯印度理工学院](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F102\u002F106\u002F102106065\u002F)\n- [MLCB24：2024年秋季计算生物学中的机器学习 - 马诺利斯·凯利斯 - 麻省理工学院](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=1zZSPeKGRzw&list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc&index=1)\n- [数据科学与人工智能在神经科学中的暑期学校 - 加州理工学院神经科学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlPxFwLgTtnfDtq_AO3dd62s33RHtU4bp)\n- [理论与计算神经科学暑期学校 - 2024年 - CNeuro](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrAPN1qtMsr9XM_2MqXx2brXBpNit3whQ)\n- [神经科学299：高维向量计算 - 2021年秋季 - 加州大学伯克利分校](https:\u002F\u002Fredwood.berkeley.edu\u002Fcourses\u002Fcomputing-with-high-dimensional-vectors\u002F)\n- [BIO410\u002F510 生物信息学 - 加利福尼亚州立大学蒙特雷湾分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL17NIL2mko8mOPN9W0e4LOjJ2Dkome7ZH)\n- [BIO412：比较基因组学 - 加利福尼亚州立大学蒙特雷湾分校](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL17NIL2mko8nJ1RvfIwtaFnukoWICqS5B)\n- [CENG 465 - 生物信息学导论（2020-2021年春季）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0X39D1PSBWPfCPbHb8GC7hoev8SG4Aye)\n- [UCLA 统计学M254 计算生物学中的统计方法，2024年春季，由李静怡主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAYxx7zX5F1PieIIeSFc7asuKWRYm6nGy)\n- [苏黎世联邦理工学院面向工程师的细胞与分子生物学](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-itet\u002F2011\u002Fautumn\u002F227-0945-00L\u002F8e6b12f7-d8cc-4f78-83b1-352876a266d0.html)\n- [计算生物学中的统计模型](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-bsse\u002F2018\u002Fspring\u002F636-0702-00L\u002F21c63925-cd10-4d56-bac1-b412ed6fe385.html)\n- [苏黎世联邦理工学院2018年春季计算生物学中的统计模型，由尼科·贝伦温克尔主讲](https:\u002F\u002Fvideo.ethz.ch\u002Flectures\u002Fd-bsse\u002F2018\u002Fspring\u002F636-0702-00L\u002F21c63925-cd10-4d56-bac1-b412ed6fe385.html)\n- [加州大学伯克利分校CS 198-96 神经技术导论，2020年秋季](https:\u002F\u002Fgithub.com\u002Fneurotech-berkeley\u002Fneurotech-course)\n- [MLCB24 - 2024年秋季计算生物学中的机器学习](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc) ([2018年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca6GBQwDTo4bIEDV8F4RcAgt)) ([2019年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLypiXJdtIca6U5uQOCHjP9Op3gpa177fK))\n- [神经计算导论 - 麻省理工学院开放课程](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fbrain-and-cognitive-sciences\u002F9-40-introduction-to-neural-computation-spring-2018\u002F)\n- [面向生物学家的数据科学 - 史蒂夫·布鲁顿](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNQz4BMoGSsN8cbt8pHlokhV)\n- [马德拉斯印度理工学院的大数据与生物网络](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZ2ps__7DhBapdXdBZInSjonWNAUL6Ycm)\n\n\n------------------------------\n\n### 量子计算\n\n- [15-859BB: 量子计算与量子信息 2018 - CMU](https:\u002F\u002Fwww.cs.cmu.edu\u002F~odonnell\u002Fquantum18\u002F) ([Youtube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz))\n- [CMU的量子计算与量子信息](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz)\n- [Ph\u002FCS 219A 量子计算 - Preskill教授 - 加州理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL0ojjrEqIyPy-1RRD8cTD_lF1hflo89Iu)\n- [量子力学与量子计算 - Umesh Vazirani](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL74Rel4IAsETUwZS_Se_P-fSEyEVQwni7)\n- [2022年纽约大学量子计算入门课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLo0Vs5tDeRLRIPcJ83SN91M-asGuaa1AD)\n- [匹兹堡大学Phys 1470 - 量子计算与量子信息基础](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9KDUYiMK3D5etNeur9HocwcAcfcDtArw)\n- [从门外汉到程序员：30步掌握量子计算入门（SJSU EE225）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnK6MrIqGXsJfcBdppW3CKJ858zR8P4eP)\n- [量子计算硬件与架构（SJSU EE274）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLnK6MrIqGXsL1KShnocSdwNSiKnBodpie)\n- [2021年苏黎世联邦理工学院非物理专业人员量子物理课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmE1-ewBrbkiOFq_vMXAww4GDMxDAB3pI) ([2020年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmE1-ewBrbkiKoYQU4FawveQfhWU_4MkX))\n- [Qiskit量子计算与量子硬件入门](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOFEBzvs-VvrXTMy5Y2IqmSaUjfnhvBHR)\n- [Qiskit量子信息与计算理解](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOFEBzvs-VvqKKMXX4vbi4EB1uaErFMSO)\n- [印度理工学院马德拉斯分校量子计算与量子信息讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLqLyTdPNhQZwfLoL4QMeI6scnyH1c__tE)\n- [D.K. Ghosh教授的量子信息与计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLq-Gm0yRYwThGmlypvSFQ-kT2rPaXKAZ5)\n- [Debabrata Goswami教授的量子计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLq-Gm0yRYwTj7Fs6jyzYa83HErSrpXgPQ)\n- [量子计算机的构建模块：第一部分 - 代尔夫特理工大学](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fbuilding-blocks-quantum-computer-part-1\u002F)\n- [量子计算机的构建模块：第二部分 - 代尔夫特理工大学](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fbuilding-blocks-quantum-computer-part-2\u002F)\n- [量子密码学 - 代尔夫特理工大学](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fquantum-cryptography\u002F)\n- [量子信息导论](https:\u002F\u002Fzhenyucai.com\u002Fpost\u002Fintro_to_qi\u002F)\n- [人人皆可懂的量子计算 -- 第一部分](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfOgkuiMs5qApXtgIMREPicgbYIGjbf8e) ([第二部分](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfOgkuiMs5qB-0J07mphWZ19j9Gll33ZU))\n- [芝加哥大学量子计算机系统](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLfOgkuiMs5qCa8BUrFMumyvPqeoOL-iu8)\n- [为有决心者准备的量子计算 - Michael Nielsen](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL1826E60FD05B44E4)\n- [量子计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLxP0p--aBHmIe--9rczWe4AZmw03e2bz0)\n- [量子信息理论高级专题](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLmE1-ewBrbkicLl3pp14OmxRWSfdNYfmh)\n- [滑铁卢大学2020年秋季量子通信理论](https:\u002F\u002Fwww.math.uwaterloo.ca\u002F~wcleung\u002Fco781-f2020.html)\n- [Nathan Wiebe的量子计算入门](https:\u002F\u002Fwww.youtube.com\u002Fchannel\u002FUCYpyuTbBhQ2FvTmVLL6b3zA\u002Fvideos)\n- [哥伦比亚大学COMS 4281 - 量子计算入门](http:\u002F\u002Fwww.henryyuen.net\u002Fclasses\u002Fspring2021\u002F)\n- [量子信息科学入门](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkespgaZN4gmu0nWNmfMflVRqw0VPkCGH) ([在线书籍](https:\u002F\u002Fqubit.guide\u002Fusing-the-e-book), [PDF](https:\u002F\u002Fqubit.guide\u002Fqubit_guide.pdf))\n- [实用量子计算入门：从量子比特到量子机器学习：CERN](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLu0nzW8Es1x3gEeqUm_32QbhmGHHUXSVo)\n- [PSI 2018\u002F2019 - Gottesman的量子信息回顾](https:\u002F\u002Fpirsa.org\u002FC19010)\n------------------------------\n\n### 机器人与控制\n\n- [ROB 101：计算线性代数 - 密歇根大学](https:\u002F\u002Fgithub.com\u002Fmichiganrobotics\u002Frob101\u002Ftree\u002Fmain\u002FFall%202021) ([YouTube - 2021年秋季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDJ5d_dE4FeOviv0gRe4UYsB))\n- [ROB 102：人工智能与编程导论 - 密歇根大学](https:\u002F\u002Frobotics102.github.io\u002F)\n- [机器人学201：现代工程师的微积分 - 密歇根大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDIWDJDjiBKjFe7ETD_rssB9)\n- [ROB 311：如何构建机器人并使其运动 - 密歇根大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDIWDJDjiBKjFe7ETD_rssB9)\n- [ROB 320：机器人操作系统 - 密歇根大学](https:\u002F\u002Fautorob.org\u002F)\n- [ROB 501：机器人学中的数学 - 密歇根大学](https:\u002F\u002Fgithub.com\u002Fmichiganrobotics\u002Frob501) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdPQZLMHRjDIzO99aE7yAtdOHSVHMXfYH))\n- [密歇根大学ROB 530移动机器人学 - 2022年冬季 -- 讲师：Maani Ghaffari](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLdMorpQLjeXmbFaVku4JdjmQByHHqTd1F)\n- [Autorob 2022年冬季 - 密歇根大学](https:\u002F\u002Fm.youtube.com\u002Fplaylist?list=PLf_SmXJixhnWMMU6_xYW7iS08-7h9kENY)\n- [DeepRob 2023年冬季 - 密歇根大学](https:\u002F\u002Fm.youtube.com\u002Fplaylist?list=PLf_SmXJixhnXoMs0Qvxe500BrjfbIOwSg)\n- [CS 223A：机器人学导论，斯坦福大学](https:\u002F\u002Fsee.stanford.edu\u002FCourse\u002FCS223A)\n- [6.832欠驱动机器人学 - MIT开放课程资源](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Felectrical-engineering-and-computer-science\u002F6-832-underactuated-robotics-spring-2009\u002F)\n- [加州大学伯克利分校CS287高级机器人学2019年秋季 -- 讲师：Pieter Abbeel](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLwRJQ4m4UJjNBPJdt8WamRAt4XKc639wF)\n- [CS 287：高级机器人学，2011年秋季，加州大学伯克利分校](https:\u002F\u002Fpeople.eecs.berkeley.edu\u002F~pabbeel\u002Fcs287-fa11\u002F) ([视频](http:\u002F\u002Frll.berkeley.edu\u002Fcs287\u002Flecture_videos\u002F))\n- [卡内基梅隆大学16-715机器人动力学2022年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6ItAfZIxJYNKdaR_BobleLY)\n- [卡内基梅隆大学16-745最优控制2024年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6Jv4f7E7RnzW4rijTUTPI4u) ([讲义笔记](https:\u002F\u002Fgithub.com\u002FOptimal-Control-16-745\u002Flecture-notebooks)) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6KugDT9sw5zhAmqKnGeoLRa)) ([YouTube-2022](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLZnJoM76RM6Iaf59ICcU9-DzztGZvK_52))\n- [卡内基梅隆大学16-745最优控制辅导课2024年](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLR-CEg9er7kFfMQU9c3P8J77H3yKb4pTK) ([YouTube-2023](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLR-CEg9er7kH11A7Sg1rATCf5Noa7wauu))\n- [德克萨斯大学奥斯汀分校CE 356水力工程基础2025年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHovUGJUgy1Dtpt8QBt1sxK_SAPasG3g2)\n- [德克萨斯大学奥斯汀分校CE 397智能基础设施控制理论2023年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHovUGJUgy1DvJoaJuBWdF_maE1-YzOfm)\n- [CS235：面向非机器人设计者的应用机器人设计 - 声东大学](https:\u002F\u002Fwww.youtube.com\u002Fuser\u002FStanfordCS235\u002Fvideos)\n- [讲座：飞行机器人的视觉导航](https:\u002F\u002Fvision.in.tum.de\u002Fteaching\u002Fss2012\u002Fvisnav2012) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLTBdjV_4f-EKeki5ps2WHqJqyQvxls4ha))\n- [CS 205A：机器人、视觉和图形学中的数学方法（2013年秋季）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLQ3UicqQtfNvQ_VzflHYKhAqZiTxOkSwi)\n- [意大利特伦托大学机器人控制的优化与学习](https:\u002F\u002Fandreadelprete.github.io\u002Fcourses\u002Folrc\u002F) ([YouTube-2025](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4nPbSX5VFGjA3ZSbdtcVEeUSIzYeF0Xw))\n- [罗马大学De Luca教授的机器人学1](http:\u002F\u002Fwww.dis.uniroma1.it\u002F~deluca\u002Frob1_en\u002Fmaterial_rob1_en_2014-15.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAQopGWlIcyaqDBW1zSKx7lHfVcOmWSWt))\n- [罗马大学De Luca教授的机器人学2](http:\u002F\u002Fwww.diag.uniroma1.it\u002F~deluca\u002Frob2_en\u002Fmaterial_rob2_en.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAQopGWlIcya6LnIF83QlJTqvpYmJXnDm))\n- [首尔国立大学机器人力学与控制](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkjy3Accn-E7mlbuSF4aajcMMckG4wLvW)\n- [UNCC机器人学导论课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4847E1D1C121292F)\n- [SLAM讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLpUPoM7Rgzi_7YWn14Va2FODh7LzADBSm)\n- [华盛顿大学CSE 478 – 自主导航机器人 – 2025年冬季](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse478\u002F25wi\u002Fschedule\u002F) ([2024年冬季](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse478\u002F24wi\u002Fschedule\u002F))\n- [华盛顿大学CSE 571 – AI机器人学 – 2023年春季](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcse571\u002F23sp\u002F)\n- [斯坦福大学EE 259 – 自主感知原理 – 2023年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOhE007XQu707Dy52qXiZGV)\n- [滑铁卢大学ME 597 – 自主导航移动机器人 – 2014年秋季](http:\u002F\u002Fwavelab.uwaterloo.ca\u002Findex6ea9.html?page_id=267)\n- [滑铁卢大学ME 780 – 自动驾驶感知 – 2017年春季](http:\u002F\u002Fwavelab.uwaterloo.ca\u002Findexaef8.html?page_id=481)\n- [滑铁卢大学ME780 – 机器人与计算机视觉中的非线性状态估计 – 2017年春季](http:\u002F\u002Fwavelab.uwaterloo.ca\u002Findexe9a5.html?page_id=533)\n- [昆士兰大学METR 4202\u002F7202 -- 机器人与自动化](http:\u002F\u002Frobotics.itee.uq.edu.au\u002F~metr4202\u002Flectures.html)\n- [伊利诺伊大学厄巴纳-香槟分校CS-588自动驾驶系统工程概要](http:\u002F\u002Fluthuli.cs.uiuc.edu\u002F~daf\u002Fcourses\u002FMAAV-21\u002F588-2021-records.html)\n- [孟买印度理工学院机器人学](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F112101099\u002F)\n- [机器视觉导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL1pxneANaikCO1-Z0XTaljLR3SE8tgRXY)\n- [MIT开放课程资源6.834J认知机器人学](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Faeronautics-and-astronautics\u002F16-412j-cognitive-robotics-spring-2016\u002F)\n- [与ROS（机器人操作系统）一起进入真实世界 - 代尔夫特理工大学](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fhello-real-world-ros-robot-operating-system\u002F)\n- [机器人编程（ROS） - 苏黎世联邦理工学院](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE-BQwvVGf8HOvwXPgtDfWoxd4Cc6ghiP)\n- [代尔夫特理工大学机电一体化系统设计](https:\u002F\u002Focw.tudelft.nl\u002Fcourses\u002Fmechatronic-system-design\u002F)\n- [CS 206进化机器人学课程2020年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAuiGdPEdw0inlKisMbjDypCbvcb_GBN9)\n- [秘鲁天主教大学机器人学基础2018-I](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoWGuY2dW-Acmc8V5NYSAXBxADMm1rE4p)\n- [罗尔基印度理工学院机器人与控制：理论与实践](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLy_2iUCG87AjAXKbNMiKJZ2T9vvGpMB0)\n- [机电一体化](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLtuwVtW88fOeTFS_szBWif0Mcc0lfNWaz)\n- [加州大学默塞德分校ME142 - 机电一体化2020年春季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL-euleXgwWUNQ80DGq6qopHBmHcQyEyNQ)\n- [波恩大学移动传感与机器人学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQJXx-x0t23RmRbjp_yMb4v)\n- [波恩大学MSR2 - 传感器与状态估计课程（2020年）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQh_J16IMwDlji18SWQ2PZ6)\n- [波恩大学SLAM课程（2013年）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQrZ4O5QzbIHgl3b1JHimN_)\n- [弗莱堡大学ENGR486机器人建模与控制（2014W）](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLJzZfbLAMTelwaLxFXteeblbY2ytU2AxX)\n- [卡拉格布尔印度理工学院D K Pratihar教授的机器人学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLbRMhDVUMngcdUbBySzyzcPiFTYWr4rV_)\n- [弗莱堡大学2019年夏季移动机器人学导论](http:\u002F\u002Fais.informatik.uni-freiburg.de\u002Fteaching\u002Fss19\u002Frobotics\u002F)\n- [弗莱堡大学2018\u002F19年冬季机器人地图绘制](http:\u002F\u002Fais.informatik.uni-freiburg.de\u002Fteaching\u002Fws18\u002Fmapping\u002F)\n- [卡拉格布尔印度理工学院机构与机器人运动学](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F112\u002F105\u002F112105236\u002F)\n- [自驾车 - Cyrill Stachniss - 波恩大学2020\u002F21年冬季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD)\n- [宾夕法尼亚大学空中机器人学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLblGgzWkqSqM7IWsgjDetdzZDS1NbkTnd)\n- [西北大学现代机器人学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx)\n- [MIT 6.4210\u002F6.4212 - 机器人操作 - MIT](https:\u002F\u002Fmanipulation.csail.mit.edu\u002FFall2022\u002Findex.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLkx8KyIQkMfUSDs2hvTWzaq-cxGl8Ha69))\n- [丹巴德印度理工学院（ISM）工业机器人与自动化](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLXDsvE7qtfNdt9oYEhJ_LMXDUGu6bH-L6)\n- [南方科技大学MEE5114高级机器人控制](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLYkCanigA7S4x-ExlnFsQN9WrNZREWEZd)\n- [自动驾驶汽车 — Andreas Geiger](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)\n- [信号处理：由Nathan Kutz介绍](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6Vi_EcJpt8E96_JTKoOKY3HYWVGjf6b4)\n- [圣巴巴拉大学ME 269网络系统、动力学和控制2021年秋季，由Francesco Bullo主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL7bpQ3f3TaeMsueY06FCmbNIEOOY-Ri2_) ([第2部分](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FMAE%2B4710_5710%2B%2BApplied%2BDynamis_%2BSpring%2B2020\u002F248138383))\n- [康奈尔大学MAE 4730\u002F5730中级动力学2020年秋季，由Andy Ruina主讲](https:\u002F\u002Fvod.video.cornell.edu\u002Fchannel\u002FMAE%2B4730_5730%2BIntermediate%2BDynamics%2BFall%2B2020%2B%2BRuina\u002F247509122)\n- [卡内基梅隆大学16 299反馈控制系统导论2022年春季，由Chris Atkeson主讲](http:\u002F\u002Fwww.cs.cmu.edu\u002F~cga\u002Fcontrols-intro-22\u002F)\n- [威斯康星大学麦迪逊分校ECE 332反馈控制系统2021年秋季，由Steven Fredette主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLIygTcviGPKB7-l9W1KHtBFUMvbskh5iR)\n- [马修·M·皮特主讲的MAE 509最优与鲁棒控制中的线性矩阵不等式方法](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL5ebyVGQORm6n158o-I_liUZ7Q5Od43li)\n- [伊利诺伊大学厄巴纳-香槟分校CS 588自动驾驶系统工程2021年秋季，由David Forsyth主讲](http:\u002F\u002Fluthuli.cs.uiuc.edu\u002F~daf\u002Fcourses\u002FMAAV-21\u002F588-2021-records.html)\n- [科罗拉多大学科罗拉多斯普林斯分校ECE4590\u002FECE5590模型预测控制，由M. Scott Trimboli主讲](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5590\u002Findex.html)\n- [洛桑联邦理工学院ME 425模型预测控制2020年秋季，由Colin Jones主讲](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLHmHXT53cpnkpbwLqlKae0iKexM8SXKDM)\n- [会学习的机器人 - 伯克利分校CS 294-277](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPaC96j0xdLcYLTSoSk9PO1Yg-1udJd-S)\n- [基于机器学习的数据驱动动力系统 - Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNR6DzT17-MM1GHLkuYVjhyt)\n- [基于机器学习的数据驱动控制 - Steve Brunton](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLMrJAkhIeNNQkv98vuPjO2X2qJO_UPeWR)\n- [轮式移动机器人](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLyqSpQzTE6M9CXsZljkH_lCxRSiaXF566)\n- [2021年HSE移动机器人与机器人操作系统（ROS）导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL2PmRem6srUn6jc7Q6ahjL8x2qJg150mZ)\n- [卡尔顿大学外科机器人学讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLY6RHB0yqJVasji1rwZAGYirD8zW1ipj-)\n- [孟买印度理工学院机电一体化与机器人学导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL_uaeekrhGzJMZTb5etIdXasVO9-WVPVH)\n- [芝加哥伊利诺伊大学2020年秋季机器人学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLc7bpbeTIk741sSBpPzj5hl_L8Wlrn1u8)\n- [普林斯顿大学机器人学导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLF8B1bJgOQK67xkgYz_Xtx0ShjcqfdXwE)\n- [进化机器人学课程。2025年春季](https:\u002F\u002Fwww.youtube.com\u002F@joshbongard3314\u002Fplaylists)\n- [班加罗尔印度科学研究所机器人学：基础与精选进阶](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLgMDNELGJ1CZT9pdEEkDylXFPLdcqxn0t)\n- [孟买印度理工学院2024年1月非线性控制设计](https:\u002F\u002Fgithub.com\u002FDeveloper-Y\u002Fcs-video-courses?tab=readme-ov-file)\n- [罗尔基印度理工学院机器人系统的智能控制](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLLy_2iUCG87AoVXK4Wi5EHZnguHtpDPw8)\n- [剑桥大学Amanda Prorok主讲的移动机器人系统课程](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLaTKfS3-bDpDyOwrxLcQRGxY9XJw33ANo)\n- [彼得·科克的机器人学院](https:\u002F\u002Frobotacademy.net.au\u002F)\n- [马里兰大学ENAE 788M：动手自主空中机器人学](https:\u002F\u002Fprg.cs.umd.edu\u002Fenae788m)\n\n------------------------------\n\n\n\n### 计算金融\n\n- [COMP510 - 计算金融 - 史蒂文·斯金纳 - 2007 香港科技大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9E205B8FAAD530E1)\n- [计算金融课程 - 格热拉克教授](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6zzGYGhbWrPaI-op1UfNl0uDglxdkaOB)\n- [金融工程课程：利率与xVA - 格热拉克教授](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6zzGYGhbWrMpjEKDtnrHWyIj-oVLKCYD)\n- [慕课 - 定量金融的数学方法，华盛顿大学\u002FCoursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002Fdfc1ddde962101f00ef9764b91181bd6bb5c9e93)\n- [18.S096 数学在金融中的应用专题，2013年秋季 MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013\u002Fvideo_galleries\u002Fvideo-lectures\u002F)\n- [18.642 数学在金融中的应用专题，2024年秋季 MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F18-642-topics-in-mathematics-with-applications-in-finance-fall-2024\u002Fpages\u002Fweek-1\u002F)\n- [计算金融 - 莱比锡大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL4i4aZbplv9J5jan6mDbDHtjfm7ghMWfj)\n- [机器学习用于交易 | Udacity](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLAwxTw4SYaPnIRwl6rad_mYwEk4Gmj7Mx)\n- [ACT 460 \u002F STA 2502 – 精算科学中的随机方法 - 多伦多大学](http:\u002F\u002Fwww.utstat.utoronto.ca\u002Fsjaimung\u002Fcourses\u002Fsta2502\u002Fmain.htm)\n- [MMF1928H \u002F STA 2503F –\n定价理论I \u002F 数学金融中的应用概率 - 多伦多大学](http:\u002F\u002Fwww.utstat.toronto.edu\u002Fsjaimung\u002Fcourses\u002Fmmf1928\u002Fcontent2013.htm)\n- [STA 4505H – 高频与算法交易 - 多伦多大学](http:\u002F\u002Fwww.utstat.utoronto.ca\u002Fsjaimung\u002Fcourses\u002Fsta4505\u002Fmain-2014.htm)\n- [数学金融 - 印度理工学院古瓦哈提分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F111103126\u002F)\n- [定量金融 - 印度理工学院坎普尔分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F110104066)\n- [金融衍生品与风险管理 - 印度理工学院鲁尔基分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F110107128)\n- [金融数学 - 印度理工学院鲁尔基分校](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F112107260\u002F)\n- [哈佛经济学2355 经济学深度学习，2023年春季，梅丽莎·戴尔](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLGTgQIsun7ueGTRzDlBWqgX6xBlMce-QC)\n- [华盛顿大学ECON 484 计量经济学与数据科学，2020年春季，格雷戈里·邓肯](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLrE1feouzSWobe0NxC_v3cw_OyZL5i-IV)\n- [MATH69122 金融随机控制](https:\u002F\u002Fappliedprobability.blog\u002Fcategory\u002Fmath69122-stochastic-control-for-finance\u002Fpage\u002F2\u002F)\n- [加州大学戴维斯分校MAT 133 数学金融，2024年春季，马蒂亚斯·科佩](https:\u002F\u002Fvideo.ucdavis.edu\u002Fchannel\u002FMAT+133+%28Spring+2024%29\u002F340365092) ([2021年春季](https:\u002F\u002Fvideo.ucdavis.edu\u002Fchannel\u002Fchannelid\u002F231002963))\n\n------------------------------\n\n### 网络科学\n\n- [网络科学，2021年 - HSE](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLriUvS7IljvkGesFRuYjqRz4lKgodJgh2)\n- [格拉茨工业大学网络科学](https:\u002F\u002Fcourses.isds.tugraz.at\u002Fdhelic\u002Fnetsci\u002Findex.html)\n- [麦卡莱斯特学院MATH\u002FCOMP 479 网络科学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlWULwPzrppXKYVyRxFt0YsgIDXiBDPNR)\n- [ACM冬季学校：网络科学 _2023年12月，艾哈迈达巴德大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLPeEbErKGwN2qqFieu1z7KZ1SXxrmyCKx)\n- [网络科学2021\u002F2022 (ENS里昂)](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL6e66HEqjx1a1XHy4IIQHwPSRLU0bRoK1)\n\n------------------------------\n\n### 区块链开发\n\n- **区块链与加密货币**\n  - [区块链、Solidity及使用JavaScript的全栈Web3开发](https:\u002F\u002Fyoutu.be\u002FgyMwXuJrbJQ) \n  - [2018年伯克利DeCal区块链基础讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSONl1AVlZNU0QTGpbgEQXKHcmgYz-ddT)\n  - [2018年春季伯克利DeCal开发者区块链讲座](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLSONl1AVlZNUzp71_H1kb87PvIh8kIZU9)\n  - [2018年春季MIT加密货币工程与设计](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fmas-s62-cryptocurrency-engineering-and-design-spring-2018\u002Fvideo_galleries\u002Flecture-videos\u002F)\n  - [2018年秋季MIT 15.S12 区块链与货币](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn)\n  - [区块链 - 基础与应用场景](https:\u002F\u002Fwww.coursera.org\u002Flearn\u002Fblockchain-foundations-and-use-cases\u002Fhome\u002Fwelcome)\n- **成为区块链开发者**\n  - [初学者Solidity教程 - Dapp University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgUq-aMMYeKf8nPqHrNqa3Iu) \n  - [Solidity进阶教程 - Dapp University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgVnWHv2_mkvJjn5HBOkde3g)\n  - [IPFS星际文件系统 - Dapp University](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgWggD3tKfgwsIPXuIhorXZk)\n  - [Solidity、区块链与智能合约课程 – 从入门到精通的Python教程 - FreeCodingCamp](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=M576WGiDBdQ)\n  - [Web 3.0 - 构建实时去中心化应用](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLS5SEs8ZftgVV6ah1fo2IvlHk1kTCy6un)\n\n------------------------------\n\n### 其他\n\n- **人机交互**\n  - [CS147 - 人机交互设计导论 - 斯坦福大学](https:\u002F\u002Fhci.stanford.edu\u002Fcourses\u002Fcs147\u002F2015\u002Fau\u002Fcalendar.php)\n  - [CSEP 510 - 人机交互](https:\u002F\u002Fcourses.cs.washington.edu\u002Fcourses\u002Fcsep510\u002F04wi\u002F)\n  - [面向设计师的编程 - COMP1400-T2 (2010) - 新南威尔士大学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PL9444191613E018CC)\n  - [08-763 面向技术高管的人机交互导论 - 2015年秋季 - 卡内基梅隆大学](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%228bb9f417-9f60-4e00-84f6-4ef8e7425ae1%22&maxResults=150)\n  - [05-600 HCI专业研讨会 - 2015年秋季 - 卡内基梅隆大学](https:\u002F\u002Fscs.hosted.panopto.com\u002FPanopto\u002FPages\u002FSessions\u002FList.aspx#folderID=%22d885fd87-1ba1-47a3-9bd2-c4bde55f9749%22&maxResults=150)\n- **游戏开发**\n \t- [CS50的游戏开发导论](https:\u002F\u002Fwww.edx.org\u002Fcourse\u002Fcs50s-introduction-to-game-development)\n\t- [MIT CMS.611J 制作电子游戏，2014年秋季](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fcomparative-media-studies-writing\u002Fcms-611j-creating-video-games-fall-2014\u002Flecture-videos\u002F)\n  - [MOOC - 使用C#入门游戏编程 - Coursera](http:\u002F\u002Facademictorrents.com\u002Fdetails\u002F0a7ba7e62821e488a0061751fdb81f4298733bea)\n  - [佐治亚理工学院 ECE4795 视频游戏GPU编程，2021年夏季](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLOunECWxELQQwayE8e3WjKPJsTGKknJ8w)\n- **地理空间**\n  - [芝加哥大学2016年秋季空间数据科学导论](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzREt6r1Nenkr2vtYgbP4hs44HO_s_qEO)\n  - [芝加哥大学2017年春季空间回归分析](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzREt6r1Nenkk7x197-CKPFZ0BuAOCRGT)\n  - [芝加哥大学2017年秋季空间数据科学](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLzREt6r1Nenlu-MBaxCRL2KZNk62n7o1g)\n  - [印度理工学院鲁尔基地地理信息系统导论](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F105107155\u002F)\n- [MOOC - Matlab - Coursera](https:\u002F\u002Fyoutu.be\u002F6iN56l7dEMY)\n- [面向计算机科学家的计算 - 密歇根大学](https:\u002F\u002Fc4cs.github.io)\n- [加州大学伯克利分校2025年春季Linux系统管理讲座](https:\u002F\u002Fdecal.ocf.berkeley.edu\u002F)\n- [Linux实施\u002F管理实践课程 - 红帽公司，图利奥·略萨](https:\u002F\u002Fitunes.apple.com\u002Fus\u002Fitunes-u\u002Flinux-implementation-administration\u002Fid430673915)\n- [哈佛大学创新计算](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLE3E96113F544495A)\n- [印度理工学院马德拉斯分校Linux编程与脚本](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F117106113\u002F)\n- [印度理工学院马德拉斯分校模型检测](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106136\u002F)\n- [印度理工学院马德拉斯分校虚拟现实](https:\u002F\u002Fnptel.ac.in\u002Fcourses\u002F106106138\u002F)\n- [波茨坦HPI大学2014年夏季可靠系统](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F1005\u002F)\n- [波茨坦HPI大学2013\u002F14年冬季业务流程合规性](https:\u002F\u002Fwww.tele-task.de\u002Fseries\u002F979\u002F)\n- [HPI大学2018年夏季数字工程设计思维 - 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MIT](https:\u002F\u002Frlevy.github.io\u002F9.19-syllabus\u002Fsyllabus.html) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLlp18pgkl6U_Dfv59jF-NlAW6dwqYKZim))\n- [麻省理工学院21M.383计算音乐理论与分析，2023年春季 - MIT](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F21m-383-computational-music-theory-and-analysis-spring-2023\u002Fpages\u002Fabout-the-course-and-music21\u002F) ([YouTube](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R))\n- [UCCS ECE4510\u002FECE5510反馈控制系统，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE4510\u002Findex.html)\n- [UCCS ECE4520\u002FECE5520多变量控制系统I，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5520\u002Findex.html)\n- [UCCS ECE4530\u002FECE5530多变量控制系统II，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5530\u002Findex.html)\n- [UCCS ECE4540\u002FECE5540数字控制系统，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5540\u002Findex.html)\n- [UCCS ECE4550\u002FECE5550应用卡尔曼滤波，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5550\u002Findex.html)\n- [UCCS ECE4560\u002FECE5560系统辨识，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5560\u002Findex.html)\n- [UCCS ECE4570\u002FECE5570面向系统与控制的优化，作者：M·斯科特·特林博利](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5570-NEW\u002Findex.html)\n- [UCCS ECE4580\u002FECE5580多变量控制在频域中，作者：M·斯科特·特林博利](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5580\u002Findex.html)\n- [UCCS ECE4710\u002FECE5710电池动态建模、仿真与辨识，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5710\u002Findex.html)\n- [UCCS ECE4720\u002FECE5720电池管理和控制，作者：格雷戈里·普莱特](http:\u002F\u002Fmocha-java.uccs.edu\u002FECE5720\u002Findex.html)\n- [普渡大学ME 597分布式能源资源，2024年春季，作者：凯文·J·柯彻](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLcZDMdEnS08l_z5LVDQrEcyFrBsHlKVXd)\n- [斯坦福大学AA228V\u002FCS238V安全关键系统验证，2025年冬季，作者：悉尼·米歇尔·卡茨](https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLoROMvodv4rOq1LMLI8U7djzDb8--xpaC)","# cs-video-courses 快速上手指南\n\n`cs-video-courses` 并非一个需要安装运行的软件工具，而是一个由社区维护的**计算机科学视频课程资源索引库**。它汇集了全球顶尖大学（如 MIT、斯坦福、哈佛、伯克利等）的计算机相关课程视频链接。\n\n本指南旨在帮助开发者快速定位并访问所需的学习资源。\n\n## 环境准备\n\n本项目无需任何系统环境或前置依赖，只需具备以下条件即可使用：\n- **设备**：电脑、平板或手机。\n- **网络**：可访问互联网（部分资源托管于 YouTube，国内用户可能需要配置网络代理或使用学术加速服务）。\n- **浏览器**：任意现代浏览器（Chrome, Firefox, Edge, Safari 等）。\n\n## 获取与浏览步骤\n\n由于这是一个静态资源列表，无需执行安装命令。请通过以下方式访问：\n\n### 1. 访问官方仓库\n直接在浏览器中打开项目 GitHub 页面：\n```text\nhttps:\u002F\u002Fgithub.com\u002FDeveloper-Y\u002Fcs-video-courses\n```\n\n### 2. 查阅目录结构\n在 README 页面中，利用 **Table of Contents (目录)** 快速跳转至感兴趣的领域。主要涵盖方向包括：\n- 计算机科学导论 (Introduction to Computer Science)\n- 数据结构与算法 (Data Structures and Algorithms)\n- 系统编程 (操作系统、分布式系统等)\n- 人工智能与机器学习 (AI, ML, Deep Learning, LLMs)\n- 数据库、软件工程、网络安全等全栈领域\n\n### 3. 选择课程\n点击对应分类下的课程名称链接。每个条目通常包含：\n- **课程主页**：包含大纲、作业、考试题目等完整资料。\n- **Video Playlist**：直接指向 YouTube 或其他视频托管平台的播放列表。\n\n## 基本使用示例\n\n假设你想学习 **MIT 的“算法导论”** 课程：\n\n1. 在仓库首页目录中找到 **[Data Structures and Algorithms](#data-structures-and-algorithms)** 章节。\n2. 浏览列表，找到如下条目：\n   - `[6.006 - Introduction to Algorithms, MIT OCW](https:\u002F\u002Focw.mit.edu\u002Fcourses\u002F6-006-introduction-to-algorithms-spring-2020\u002Fvideo_galleries\u002Flecture-videos\u002F)`\n3. 点击链接进入 MIT 开放课程官网，或直接寻找对应的 `Video Playlist` 链接观看视频。\n\n假设你想学习 **生成式 AI 与大模型 (Generative AI and LLMs)**：\n\n1. 在目录中定位到 **[Machine Learning](#machine-learning)** 下的 **[Generative AI and LLMs](#generative-ai-and-llms)** 子章节。\n2. 点击列出的最新大学课程链接（如斯坦福、伯克利等提供的专项课程）开始学习。\n\n> **提示**：对于国内用户，若遇到 YouTube 链接无法加载的情况，建议：\n> - 检查课程主页是否提供了 Bilibili 等国内平台的转载链接（通常在课程描述或评论区）。\n> - 使用合法的学术网络加速工具。\n> - 关注相关高校在国内开源社区（如 Gitee）的镜像项目。","一名刚转行进入大厂的后端开发工程师，急需系统补全分布式系统与数据库底层原理知识以应对架构评审。\n\n### 没有 cs-video-courses 时\n- **资源筛选成本极高**：在 YouTube 和各大平台搜索“分布式系统”或“数据库内核”，充斥着碎片化的营销教程和过时的入门视频，难以辨别哪些是真正的大学级别课程。\n- **知识体系支离破碎**：找到的视频往往只讲解某个单一知识点（如“什么是 Raft\"），缺乏从理论基础到工程实现的完整课程大纲，导致学习路径断断续续。\n- **学术深度不足**：大多数商业教程仅停留在 API 调用层面，无法提供像卡内基梅隆或伯克利等顶尖高校那样深入操作系统底层和数学推导的专业内容。\n- **语言与来源混乱**：花费大量时间验证视频来源的权威性，经常误入非英语母语者的二手解读，导致对核心概念的理解出现偏差。\n\n### 使用 cs-video-courses 后\n- **一键获取权威清单**：直接查阅该仓库中\"Systems Programming\"和\"Database Systems\"分类，瞬间获得包含 UNSW、UC Berkeley 等名校的完整课程链接及对应播放列表。\n- **构建系统化学习路径**：依托仓库清晰的目录结构（如从操作系统到分布式系统再到实时系统），按图索骥制定为期两个月的进阶学习计划，确保知识连贯性。\n- **直达硬核核心内容**：通过筛选出的大学课程视频，深入研读关于并发控制、一致性算法的原始讲座，真正理解技术背后的设计哲学而非仅仅学会使用工具。\n- **节省大量检索时间**：不再需要反复关键词试错，将原本用于寻找优质资源的 20 小时全部投入到实质性的代码复现与理论钻研中。\n\ncs-video-courses 的核心价值在于它将散落在互联网深处的顶尖计算机科学视频课程进行了结构化整理，让开发者能以最低成本获取最系统的学院派知识体系。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FDeveloper-Y_cs-video-courses_493b3faa.png","Developer-Y",null,"https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002FDeveloper-Y_f456f5c8.png","https:\u002F\u002Fgithub.com\u002FDeveloper-Y",79792,10986,"2026-04-08T22:03:59",1,"","未说明",{"notes":83,"python":81,"dependencies":84},"该项目并非可运行的软件工具，而是一个计算机科学与技术课程视频资源的汇总列表（Awesome List）。它主要包含指向外部资源（如 YouTube 播放列表、大学课程网站、MIT OCW 等）的链接。因此，该项目本身没有操作系统、GPU、内存、Python 版本或依赖库的安装需求。用户只需使用浏览器访问列出的链接即可观看课程内容。",[],[86,15,16,14],"其他",[88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105],"computer-science","algorithms","systems","databases","machine-learning","web-development","security","computer-architecture","bioinformatics","robotics","embedded-systems","database-systems","computer-vision","quantum-computing","computational-biology","computational-physics","deep-learning","reinforcement-learning",7,"2026-03-27T02:49:30.150509","2026-04-09T11:10:04.007585",[],[]]