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비디오 강의가 포함된 컴퓨터 과학(Computer Science) 강좌 목록입니다.

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# 비디오 강의가 포함된 컴퓨터 과학(Computer Science) 강좌 모음
## 소개
- 이 목록에 대한 일반적인 정보는 [NOTES](https://github.com/Developer-Y/cs-video-courses/blob/master/NOTES.md)를 확인해 주세요.
- 기여 가이드라인은 [CONTRIBUTING.md](https://github.com/Developer-Y/cs-video-courses/blob/master/CONTRIBUTING.md)를 참고해 주세요.
- 가지고 계신 정당한 이슈는 언제든지 편하게 제기해 주시기 바랍니다. 다만, 본인의 GitHub 기여 횟수를 늘리기 위해 내용이 없는 빈 이슈를 생성하는 사례가 일부 확인되고 있습니다. 이러한 스팸 행위자는 차단 조치됩니다.
- 기여는 언제나 환영합니다. 실제 대학/대학교 수준의 강의에 대한 PR을 생성해 주세요. 소규모 MOOC, 기초 튜토리얼, 특정 사이트/채널 홍보 목적의 링크는 추가하지 말아 주세요.
------------------------------
목차
------------------------------
- [컴퓨터 과학 개론](#introduction-to-computer-science)
- [자료 구조 및 알고리즘](#data-structures-and-algorithms)
- [시스템 프로그래밍](#systems-programming)
\* [운영체제](#operating-systems)
\* [분산 시스템](#distributed-systems)
\* [실시간 시스템](#real-time-systems)
- [데이터베이스 시스템](#database-systems)
- [소프트웨어 공학](#software-engineering)
\* [객체 지향 설계](#object-oriented-design)
\* [소프트웨어 공학](#software-engineering)
\* [소프트웨어 아키텍처](#software-architecture)
\* [동시성](#concurrency)
\* [모바일 애플리케이션 개발](#mobile-application-development)
- [인공지능](#artificial-intelligence)
- [머신러닝](#machine-learning)
\* [머신러닝 개론](#introduction-to-machine-learning)
\* [데이터 마이닝](#data-mining)
\* [확률적 그래픽 모델](#probabilistic-graphical-modeling)
\* [딥러닝](#deep-learning)
\* [강화학습](#reinforcement-learning)
\* [고급 머신러닝](#advanced-machine-learning)
\* [자연어 처리](#natural-language-processing)
\* [생성형 AI 및 LLM](#generative-ai-and-llms)
\* [컴퓨터 비전](#computer-vision)
\* [시계열 분석](#time-series-analysis)
\* [최적화](#optimization)
\* [비지도 학습](#unsupervised-learning)
\* [기타 머신러닝 주제](#misc-machine-learning-topics)
- [컴퓨터 네트워크](#computer-networks)
- [컴퓨터 과학을 위한 수학](#math-for-computer-scientist)
- [웹 프로그래밍 및 인터넷 기술](#web-programming-and-internet-technologies)
- [이론 컴퓨터 과학 및 프로그래밍 언어](#theoretical-cs-and-programming-languages)
- [임베디드 시스템](#embedded-systems)
- [실시간 시스템 평가](#real-time-system-evaluation)
- [컴퓨터 구조 및 아키텍처](#computer-organization-and-architecture)
- [보안](#security)
- [컴퓨터 그래픽스](#computer-graphics)
- [이미지 처리 및 컴퓨터 비전](#image-processing-and-computer-vision)
- [전산물리학](#computational-physics)
- [전산생물학](#computational-biology)
- [양자 컴퓨팅](#quantum-computing)
- [로보틱스 및 제어](#robotics-and-control)
- [전산금융](#computational-finance)
- [네트워크 과학](#network-science)
- [블록체인 개발](#blockchain-development)
- [기타](#misc)
## 강좌
------------------------------
### 컴퓨터 과학 개론
- COMP6991 - Rust Programming - UNSW (2022) | [Video Playlist](https://www.youtube.com/playlist?list=PLGUxZeQTpJENZFOzGj-xUHOPuwpcCuIot)
- [COMP1511 - Programming Fundamentals - UNSW (Complete Course: Lectures, Labs, Assignments, Exercises, Exams)](https://cgi.cse.unsw.edu.au/~cs1511/25T2/) | [Video Playlist](https://www.youtube.com/playlist?list=PLlRElrOhPo9u\_i-JpZUvGJCGI3j2CMWZs)
- [CS 10 - The Beauty and Joy of Computing - Spring 2015 - Dan Garcia - UC Berkeley InfoCoBuild](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs10-spring2015-berkeley.html)
- [6.0001 - Introduction to Computer Science and Programming in Python - MIT OCW](https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/video\_galleries/lecture-videos/)
- [6.001 - Structure and Interpretation of Computer Programs, MIT](https://ocw.mit.edu/courses/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video\_galleries/video-lectures/)
- [Introduction to Computational Thinking - MIT](https://computationalthinking.mit.edu/Fall22/)
- [CS 50 - Introduction to Computer Science, Harvard University](https://online-learning.harvard.edu/course/cs50-introduction-computer-science) ([cs50.tv](http://cs50.tv/2017/fall/))
- [CS50R - Introduction to Programming with R](https://cs50.harvard.edu/r/2024/) ([Lecture Videos](https://www.youtube.com/playlist?list=PLhQjrBD2T382yfNp\_-xzX244d-O9W6YmD))
- [CS50P - CS50's Introduction to Programming with Python - Harvard (David J. Malan)](https://cs50.harvard.edu/python/) ([Lecture Videos](https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V))
- [CS 61A - Structure and Interpretation of Computer Programs [Python], UC Berkeley](https://cs61a.org/)
- [CPSC 110 - Systematic Program Design [Racket], University of British Columbia](https://www.youtube.com/channel/UC7dEjIUwSxSNcW4PqNRQW8w/playlists?view=1&flow=grid&sort=da)
- [CS50's Understanding Technology](https://www.youtube.com/playlist?list=PLhQjrBD2T382p8amnvUp1rws1p7n7gJ2p)
- [CSE 142 Computer Programming I (Java Programming), Spring 2016 - University of Washington](https://courses.cs.washington.edu/courses/cse142/16sp/calendar.shtml)
- [CS 1301 Intro to computing - Gatech](https://www.cc.gatech.edu/classes/AY2016/cs1301c\_fall/)
- [CS 106A - Programming Methodology, Stanford University](https://see.stanford.edu/Course/CS106A) ([Lecture Videos](https://www.youtube.com/playlist?list=PL84A56BC7F4A1F852))
- [CS 106B - Programming Abstractions, Stanford University](https://see.stanford.edu/Course/CS106B)
- [CS 106L - Standard C++ Programming](https://web.stanford.edu/class/cs106l/)([Lecture Videos](https://www.youtube.com/playlist?list=PLCgD3ws8aVdolCexlz8f3U-RROA0s5jWA))
- [CS 106X - Programming Abstractions in C++](http://web.stanford.edu/class/cs106x/)
- [CS 107 - Programming Paradigms, Stanford University](https://see.stanford.edu/Course/CS107)
- [CmSc 150 - Introduction to Programming with Arcade Games, Simpson College](http://ProgramArcadeGames.com)
- [IN2377 - Concepts of C++ programming (Winter 2023), TUM](https://live.rbg.tum.de/?year=2023&term=W&slug=cpp&view=3) ([Winter 2022](https://live.rbg.tum.de/?year=2022&term=W&slug=cpp&view=3)) ([Summer 2022](https://live.rbg.tum.de/?year=2022&term=S&slug=ccppprog&view=3)) ([Summer 2021](https://live.rbg.tum.de/?year=2021&term=S&slug=ccppprog&view=3))
- [IN1503 - Advanced C++ Programming, TUM](https://live.rbg.tum.de/?year=2023&term=W&slug=AdvProg&view=3)
- [LINFO 1104 - Paradigms of computer programming, Peter Van Roy, Université catholique de Louvain, Belgium - EdX](https://www.youtube.com/playlist?list=PLw454N-VXALSIzIe\_eL5U8L4S68v2X\_ak)
- [FP 101x - Introduction to Functional Programming, TU Delft](https://ocw.tudelft.nl/courses/introduction-to-functional-programming/)
- [Introduction to Problem Solving and Programming - IIT Kanpur](https://nptel.ac.in/courses/106104074/)
- [Introduction to programming in C - IIT Kanpur](https://nptel.ac.in/courses/106104128/)
- [Programming in C++ - IIT Kharagpur](https://nptel.ac.in/courses/106105151/)
- [Python Boot Camp Fall 2016 - Berkeley Institute for Data Science (BIDS)](https://www.youtube.com/playlist?list=PLKW2Azk23ZtSeBcvJi0JnL7PapedOvwz9)
- [CS 101 - Introduction to Computer Science - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmjFQ2w9j05WDX8Jtg5RXWW)
- [6.00SC - Introduction to Computer Science and Programming (Spring 2011) - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011/)
- [6.00 - Introduction to Computer Science and Programming (Fall 2008) - MIT OCW](https://dspace.mit.edu/entities/publication/4476f715-c6e3-486a-a0e1-5fc124ee96b1)
- [6.01SC - Introduction to Electrical Engineering and Computer Science I - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-01sc-introduction-to-electrical-engineering-and-computer-science-i-spring-2011/)
- [Modern C++ Course (2018) - Bonn University](https://www.youtube.com/playlist?list=PLgnQpQtFTOGR50iIOtO36nK6aNPtVq98C)
- [Modern C++ (Lecture & Tutorials, 2020, Vizzo & Stachniss) - University of Bonn](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRM59sr3nSL8BmeMZR9GCIA)
- [UW Madison CS 368 C++ for Java Programmers Fall 2020, by Michael Doescher](https://www.youtube.com/playlist?list=PLXY5xcFHqg33srpQjC7q7jqITLxcErPCM)
- [UW Madison CS 354 Machine Organization and Programming spring 2020, 2021, by Michael Doescher](https://www.youtube.com/playlist?list=PLXY5xcFHqg32r5MZ-HfpA2Tr8Ke2lDYwI)
- [Cornell CS 1110 Introduction to Computing using Python fall 2020, by Walker White](https://www.cs.cornell.edu/courses/cs1110/2020fa/lessons/) ([Lecture Videos](https://vod.video.cornell.edu/channel/CS+1110+Fall+2020/179890731))
- [Cornell ECE 4960 Computational and Software Engineering spring 2017, by Edwin Kan](https://www.youtube.com/playlist?list=PLcVqWUh-bHiFN2CY1KMTw0-L39iDXlemi)
------------------------------
### 자료 구조 및 알고리즘
- [ECS 36C - Data Structures and Algorithms (C++) - Spring 2020 - Joël Porquet-Lupine - UC Davis](https://lupteach.gitlab.io/courses/ucd-ecs36c/online/)
- [Programming and Data Structures with Python, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/python2021sep/)
- [Graph Algorithms - Robert Sedgewick - Princeton University](https://www.youtube.com/watch?v=0qF7tPSQdCg)
- [EECS 477 - Introduction to Algorithms, Winter 2023, UMichigan](https://sites.google.com/site/thsaranurak/teaching/intro-algo)
- [EECS 498 / 598 - Advanced Graph Algorithms: Graph Algorithms via Graph Decomposition, Fall 2025, UMichigan](https://sites.google.com/site/thsaranurak/teaching/GraphDecomp25)
- [EECS 498 / 598 - Advanced Graph Algorithms: Expanders and Fast Graph Algorithms, Fall 2021, UMichigan](https://sites.google.com/site/thsaranurak/teaching/Expander)
- [6.006 - Introduction to Algorithms, MIT OCW](https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/video\_galleries/lecture-videos/)
- [MIT 6.006 Introduction to Algorithms, Spring 2020](https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY)
- [Algorithms: Design and Analysis 1 - Stanford University](https://www.youtube.com/playlist?list=PLXFMmlk03Dt7Q0xr1PIAriY5623cKiH7V)
- [Algorithms: Design and Analysis 2 - Stanford University](https://www.youtube.com/playlist?list=PLXFMmlk03Dt5EMI2s2WQBsLsZl7A5HEK6)
- [COS 226 Algorithms, Youtube, Princeton - by Robert Sedgewick and Kevin Wayne](https://www.youtube.com/watch?v=1QZDe28peZk&list=PLRdD1c6QbAqJn0606RlOR6T3yUqFWKwmX&index=1)
- [CSE 331 Introduction to Algorithm Design and Analysis, SUNY University at Buffalo, NY - Fall 2017](http://www-student.cse.buffalo.edu/~atri/cse331/fall17/index.html) ([Lectures](https://www.youtube.com/playlist?list=PLZBCR-EGqNpoiHeO17FlLADJ38Kb3EiPU)) ([Homework Walkthroughs](https://www.youtube.com/playlist?list=PLZBCR-EGqNpoVyQCIUDHiXnL-zdFD\_ixk))
- [CSE 373 - Analysis of Algorithms, Stony Brook - Prof Skiena](http://www.cs.sunysb.edu/~algorith/video-lectures/)
- [COP 3530 Data Structures and Algorithms, Prof Sahni, UFL](http://www.cise.ufl.edu/~sahni/cop3530/) ([Videos](http://www.cise.ufl.edu/academics/courses/preview/cop3530sahni/))
- [CS225 - Data Structures - University of Illinois at Urbana-Champaign](https://cs.illinois.edu/courses/profile/CS225)([Video lectures](https://www.youtube.com/playlist?list=PLRdSp8jtJxBqG3KNQPKKB-0Z2hh9omoDo))
- [CS2 - Data Structures and Algorithms Sim-Mautner - UNSW](https://www.youtube.com/playlist?list=PLsPlf0OhSLIqfpyxmomKcIcrht5K3IUOr)
- [Data Structures - Pepperdine University](https://itunes.apple.com/us/course/data-structures/id546468797)
- [CS 161 - Design and Analysis of Algorithms, Prof. Tim Roughgarden, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=IntroToAlgorithms)
- [6.046J - Introduction to Algorithms - Fall 2005, MIT OCW](https://ocw.mit.edu/courses/6-046j-introduction-to-algorithms-sma-5503-fall-2005/)
- [Introduction to Algorithms (Spring 2020), MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-spring-2020/)
- [6.046 - Design and Analysis of Algorithms, Spring 2015 - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2015/lecture-videos/)
- [CS 473 - Algorithms - University of Illinois at Urbana-Champaign](https://courses.engr.illinois.edu/cs473/sp2016/lectures.html) ([Notes - Jeff Erickson](http://jeffe.cs.illinois.edu/teaching/algorithms/)) ([YouTube](https://www.youtube.com/playlist?list=PL0v718LJg-78SFq81e4kJh\_rS8XbKZ7Kn))
- [COMP300E - Programming Challenges, Prof Skiena, Hong Kong University of Science and Technology - 2009](https://www.youtube.com/playlist?list=PL07B3F10B48592010)
- [16s-4102 - Algorithms, University of Virginia](http://www.cs.virginia.edu/~shelat/16s-4102/) ([Youtube](https://www.youtube.com/channel/UCxXYk53cSZof2bR\_Ax0uJYQ/videos))
- [CS 61B - Data Structures (Java) - UC Berkeley](https://fa25.datastructur.es/)([Discussion 2022](https://www.youtube.com/watch?v=gG4--V\_PpEk&list=PLjuu7kFWxFtZBm-5GifiVpqdAxeW7Hsax))
- [CS 170 Algorithms - UCBerkeley](https://cs170.org/) [Fall 2019, Youtube](https://www.youtube.com/playlist?list=PLIygTcviGPKD4TU\_QsvJI0G7QnrIS\_7Wn) [Fall 2018, Youtube](https://www.youtube.com/watch?v=fd5P-8IQwMY&list=PLkFD6\_40KJIx8lWWbE-Uk069aZ1R-W-VU&index=2&t=0s) [Fall 2018,Bilibili](https://www.bilibili.com/video/av43955743/?p=1) [2013 Bilibili](https://www.bilibili.com/video/av26670685/)
- [CS 159 Data-Driven Algorithm Design - Caltech](https://sites.google.com/view/cs-159-spring-2020/lectures?authuser=0) [Spring 2020, Youtube](https://www.youtube.com/playlist?list=PLuz4CTPOUNi4Dz6zBPypcI8I3oJUjFKk4)
- [ECS 122A - Algorithm Design and Analysis, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs122f10/videolist.html)
- [CSE 373 - Data Structures and Algorithms, Winter 2024 - University of Washington](https://courses.cs.washington.edu/courses/cse373/24wi/) ([Winter 2024, Youtube](https://www.youtube.com/playlist?list=PLEcoVsAaONjd5n69K84sSmAuvTrTQT\_Nl)) ([Spring 2023, Notes](https://courses.cs.washington.edu/courses/cse373/23sp/)) ([Spring 2023, Youtube](https://www.youtube.com/playlist?list=PLEcoVsAaONjfHSAbP1AsVjAxIOFue6uWh))
- [CSEP 521 - Applied Algorithms, Winter 2013 - University of Washington](https://courses.cs.washington.edu/courses/csep521/13wi/) ([Videos](https://courses.cs.washington.edu/courses/csep521/13wi/video/))
- [Data Structures And Algorithms - IIT Delhi](https://nptel.ac.in/courses/106102064/)
- [Design and Analysis of Algorithms - IIT Bombay](https://nptel.ac.in/courses/106101060/)
- [Programming, Data Structures and Algorithms - IIT Madras](https://nptel.ac.in/courses/106106127/)
- [Design and Analysis of Algorithms - IIT Madras](https://nptel.ac.in/courses/106106131/)
- [Fundamental Algorithms:Design and Analysis - IIT Kharagpur](https://nptel.ac.in/courses/106105157/)
- [Programming and Data Structure - IIT Kharagpur](https://nptel.ac.in/courses/106105085/)
- [Programming, Data structures and Algorithms - IIT Madras](https://nptel.ac.in/courses/106106133/)
- [Programming, Data Structures and Algorithms in Python - IIT Madras](https://nptel.ac.in/courses/106106145/)
- [Programming and Data structures (PDS) - IIT Madras](https://nptel.ac.in/courses/106106130/)
- [COP 5536 Advanced Data Structures, Prof Sahni - UFL](http://www.cise.ufl.edu/~sahni/cop5536/index.html) ([Videos](http://www.cise.ufl.edu/academics/courses/preview/cop5536sahni/))
- [CS 261 - A Second Course in Algorithms, Stanford University](http://theory.stanford.edu/~tim/w16/w16.html) ([Youtube](https://www.youtube.com/playlist?list=PLEGCF-WLh2RJh2yDxlJJjnKswWdoO8gAc))
- [CS 224 - Advanced Algorithms, Harvard University](https://people.seas.harvard.edu/~cs224/fall14/index.html) ([Lecture Videos](https://people.seas.harvard.edu/~cs224/fall14/lec.html)) ([Youtube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf))
- [CS 6150 - Advanced Algorithms (Fall 2016), University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCp8X9FHOglnLqFjyvqGLftx)
- [CS 6150 - Advanced Algorithms (Fall 2017), University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCqS9Z419eky9m6gJP7zfhO9)
- [ECS 222A - Graduate Level Algorithm Design and Analysis, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs222f07/videolist.html)
- [6.851 - Advanced Data Structures, MIT](http://courses.csail.mit.edu/6.851/spring14/lectures/) ([MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-851-advanced-data-structures-spring-2012/lecture-videos/))
- [6.854 - Advanced Algorithms, MIT](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c) ([Prof. Karger lectures](https://www.youtube.com/channel/UCtv9PiQVUDzsT4yl7524DCg/videos))
- [CS264 Beyond Worst-Case Analysis, Fall 2014 - Tim Roughgarden Lecture](http://theory.stanford.edu/~tim/f14/f14.html) ([Youtube](https://www.youtube.com/playlist?list=PLEGCF-WLh2RL8jsZpaf2tLHa5LotFEt5b))
- [CS364A Algorithmic Game Theory, Fall 2013 - Tim Roughgarden Lectures](https://www.youtube.com/playlist?list=PLEGCF-WLh2RJBqmxvZ0\_ie-mleCFhi2N4)
- [CS364B Advanced Mechanism Design, Winter 2014 - Tim Roughgarden Lectures](https://www.youtube.com/playlist?list=PLEGCF-WLh2RI77PL4gwLld\_OU9Zh3TCX9)
- [CS3510 Algorithms, Spring 2024 - Georgia Tech](https://faculty.cc.gatech.edu/~ladha/S24/3510/) [Videos - Sp 2024](https://www.youtube.com/playlist?list=PLerMEx1Met7vV70UoXJ1qXvN2\_o9Bwxiy) [Videos - Su 2025](https://www.youtube.com/playlist?list=PLerMEx1Met7ugIMoHZojyqhWe8X5S3Dzb)
- [CS4510 Automata and Complexity - Georgia Tech](https://faculty.cc.gatech.edu/~ladha/toc/) [Videos - Su 2021](https://www.youtube.com/playlist?list=PLerMEx1Met7sxHpq1seMyS1riK4PEO-S5) [Videos - Su 2023](https://www.youtube.com/playlist?list=PLerMEx1Met7vqIEY6TPcMXMWTJfRzGGh3) [Videos - Su 2024](https://www.youtube.com/playlist?list=PLerMEx1Met7uyrIcvDIOc8x2mv29UWuUy) [Videos - Su 2025](https://www.youtube.com/playlist?list=PLerMEx1Met7uOtmjvLr7v9XbYwjtNoOF2)
- [Algorithms - Aduni](http://aduni.org/courses/algorithms/index.php?view=cw)
- [6.889 - Algorithms for Planar Graphs and Beyond (Fall 2011) MIT](http://courses.csail.mit.edu/6.889/fall11/lectures/)
- [6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-890-algorithmic-lower-bounds-fun-with-hardness-proofs-fall-2014/)
- [Computer Algorithms - 2 - IIT Kanpur](https://nptel.ac.in/courses/106104019/)
- [Parallel Algorithm - IIT Kanpur](https://nptel.ac.in/courses/106104120/)
- [Graph Theory - IISC Bangalore](https://nptel.ac.in/courses/106108054/)
- [Data Structures - mycodeschool](https://www.youtube.com/watch?v=92S4zgXN17o&list=PL2\_aWCzGMAwI3W\_JlcBbtYTwiQSsOTa6P)
- [Algorithmic Game Theory, Winter 2020/21 - Uni Bonn](https://www.youtube.com/playlist?list=PLyzcvvgje7aD\_DjpmhFzQ9DVS8zzhrgp6)
- [NETS 4120: Algorithmic Game Theory, Spring 2023 - UPenn](https://www.youtube.com/playlist?list=PLlIlhe\_rS4U1MfB0NzG4IWb7CM0xKkx4d)
- [Introduction to Game Theory and Mechanism Design - IIT Kanpur](https://www.youtube.com/playlist?list=PL3eEm6KzZ3lF2TlVOnPyJHyGWJhUogn-D)
- [15-850 Advanced Algorithms - CMU Spring 2023](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%2253c58248-7fd4-4f71-8774-af85013a570a%22&page=1)
- [CS 270. Combinatorial Algorithms and Data Structures, Spring 2021](https://people.eecs.berkeley.edu/~prasad/spring2021.html) ([Youtube](https://www.youtube.com/playlist?list=PLfkeJ2f4i0AfWApBP8X8YvQfN4WbRQTC3))
- [CMU 15 850 Advanced Algorithms spring 2023, by Anupam Gupta](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%2253c58248-7fd4-4f71-8774-af85013a570a%22&page=1)
- [UC Berkeley CS 294-165 Sketching Algorithms fall 2020, by Jelani Nelson](https://www.sketchingbigdata.org/fall20/lec/) ([Youtube](https://www.youtube.com/playlist?list=PLIygTcviGPKCdx1AVD-CAzNk5uXDu9wIA))
- [UIUC CS 498 ABD / CS 598 CSC Algorithms for Big Data fall 2020, by Chandra Chekuri](https://www.youtube.com/playlist?list=PL682UO4IMem\_OA8\_wY3nnSDLOSWr3PgYa)
- [Algorithms for Data Science spring 2021, by Anil Maheshwari ](https://people.scs.carleton.ca/~maheshwa/courses/ADS/ADS-S20.html)
- [CMU 15 859 Algorithms for Big Data fall 2020, by David Woodruff](http://www.cs.cmu.edu/~dwoodruf/teaching/15859-fall20/index.html)
- [CO 642 Graph Theory - University of Waterloo](https://www.youtube.com/playlist?list=PL2BdWtDKMS6mplieDd\_vls0TBX9Fq2jht)
- [COMS W4241 Numerical Algorithms spring 2006, by Henryk Wozniakowski - Columbia](https://www.youtube.com/playlist?list=PL682UO4IMem98vm26lNUJ0TV0-EFrcUJb)
- [Bonn Algorithms and Uncertainty summer 2021, by Thomas Kesselheim](https://www.youtube.com/playlist?list=PLyzcvvgje7aDZRFMJZgaVgOW5t5KLvD1-)
- [Harvard Information Theory 2022, by Gregory Falkovich](https://www.youtube.com/playlist?list=PLDEN2FPNHwVZKAFqfFl1b\_NNAESTJwV9o)
- [Math 510 - Linear Programming and Network Flows - Colorado State University](https://www.math.colostate.edu/~adams/teaching/math510fall2020/)
- [LINFO 2266 Advanced Algorithms for Optimization 2021, by Pierre Schaus - UCLouvain](https://www.youtube.com/playlist?list=PL682UO4IMem-wgYnJl5yMswlNkve\_8oGU)
- [MIT 6.5210 / 6.854 / 18.415 Advanced Algorithms Fall 2013, 2020, 2021, 2022, by David Karger](https://6.5210.csail.mit.edu/materials) ([Spring 2016, by Ankur Moitra](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c))
- [CMU 10 801 Advanced Optimization and Randomized Algorithms spring 2014, by Suvrit Sra and Alex Smola](https://www.cs.cmu.edu/~suvrit/teach/)
- [Purdue CS 381 Fundamental Algorithms, by Kent Quanrud](https://fas22.s3.amazonaws.com/fas22-book.pdf) ([Spring 2022](https://www.youtube.com/playlist?list=PL0YFU3y0Z\_gb6P9jG0-40AgZapdGGXPTD))
- [Purdue CS 390 ATA Fundamental Algorithms Advanced, by Kent Quanrud](https://fas25.s3.amazonaws.com/fas25.pdf) ([Spring 2025](https://www.youtube.com/playlist?list=PL0YFU3y0Z\_gYOC4uogZcu54XKq57TVEs3))
- [Purdue CS 580 Graduate Algorithms, by Kent Quanrud](https://fas23.s3.amazonaws.com/fas23.pdf) ([Spring 2023](https://www.youtube.com/playlist?list=PL0YFU3y0Z\_gYAwo5Tg4kP91ifXPF\_FIQ1)) ([Spring 2024](https://www.youtube.com/playlist?list=PL0YFU3y0Z\_gaGD6jZLeuLHTRW0ISFn6AU))
- [Purdue CS 588 Randomized Algorithms, by Kent Quanrud](https://ras24.s3.amazonaws.com/ras24.pdf) ([Fall 2022](https://www.youtube.com/playlist?list=PL0YFU3y0Z\_gbjvT1yDQkwRU9UXahd0BP1)) ([Spring 2024](https://www.youtube.com/playlist?list=PL0YFU3y0Z\_gZxc-FeLhbOFS99ZzlWl4He))
- [UC Santa Cruz CSE 101 Intro to Data Structures and Algorithms fall 2022, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0fY1BCDxdiUSwkRHjnNI73G6) ([Fall 2020](https://www.youtube.com/playlist?list=PLOQjlWvnI0fZGffr1\_MqCoaC5nUVtQIWz))
- [UC Santa Cruz CSE 201 Analysis of Algorithms winter 2022, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0fYmOmrAAN-g1d4nFB2uz6tU)
- [UC Santa Cruz CSE 202 Combinatorial Algorithms spring 2021, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0fbn9zAJfvJoQF1nc50KQR9g)
- [UC Santa Cruz CSE 104, 204 Computational Complexity spring 2022, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0fYMPFnJeVZ0kt4KPwWcbF0o) ([Fall 2020](https://www.youtube.com/playlist?list=PLOQjlWvnI0fas529oXenovd3MyafNQbKl))
- [UC Santa Cruz CSE 290A Randomized Algorithms spring 2020, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0faRpH2oJcyW4CuM5Clt8a2n)
- [University of Maryland CMSC351 Introduction to Algorithms, by Mohammad Hajiaghayi](https://www.youtube.com/playlist?list=PLx7SjCaKZzEJLQ9RubHk2zFuddXTD5\_ac)
- [University of Maryland CMSC858F Network Algorithms and Approximations, by Mohammad Hajiaghayi](https://www.cs.umd.edu/~hajiagha/NetDsgn11/courseNetworkDesign.html) ([YouTube playlists](https://www.youtube.com/playlist?list=PLx7SjCaKZzEIeJxOlTuXveAE5eY7WOYB9))
- [University of Maryland CMSC858M Algorithmic Lower Bounds: Fun with Hardness Proofs, by Mohammad Hajiaghayi](https://www.cs.umd.edu/~hajiagha/ALB19/ALB19.html) ([YouTube playlists](https://www.youtube.com/playlist?list=PLx7SjCaKZzEKwynDkSTacgJGivjoB2ksn))
- [University of Maryland UMD DATA602 / MSML602 Principles of Data Science spring 2024, by Mohammad Hajiaghayi](https://www.youtube.com/playlist?list=PLx7SjCaKZzEIzzVsO03ozPOCP7Yc-LNq\_)
- [Algorithms for Big-Data (Fall 2020) - Saket Saurabh](https://sites.google.com/view/sakethome/teaching/algorithms-for-big-data-fall-2020)
- [CS498ABD - Algorithms for Big Data - UIUC, Fall 2020](https://courses.engr.illinois.edu/cs498abd/fa2020/schedule.html)
- [Advanced Data Structures](https://www.youtube.com/playlist?list=PLN-ShipRKQ0h6jIphD381pHdQtj\_APRM8)
- [CS60025 Algorithmic Game Theory - IIT KGP - Winter 2020](http://cse.iitkgp.ac.in/~palash/Courses/2020AlgorithmicGameTheory/agt2020.html)
- [CS60083 Parameterized Algorithms - IIT KGP](http://cse.iitkgp.ac.in/~palash/Courses/2020ParameterizedAlgo/paramAlgo.html)
- [Parameterized Complexity](https://sites.google.com/view/sakethome/teaching/parameterized-complexity)
- [Structural Graph Theory - IIT Madras](https://www.youtube.com/playlist?list=PLtDHG-2klXcEedB8L-jjvb17OIUZbF3gW)
- [Information Theory - IISC Bangalore](https://nptel.ac.in/courses/108/108/108108168/)
- [6.5220/6.856J/18.416J Randomized Algorithms (Spring 2025)](https://courses.csail.mit.edu/6.856/current/) ([Youtube](https://www.youtube.com/playlist?list=PL278F9gM5aZb8HXAh2yT3QmwyYQZrQUNH))
- [18.225 - Graph Theory and Additive Combinatorics - MIT - Fall 2023](https://ocw.mit.edu/courses/18-225-graph-theory-and-additive-combinatorics-fall-2023/)
- [Extremal graph theory at KAIST](https://www.youtube.com/playlist?list=PLu06QHBZ8gatHvSQIApVQCCQmtPTiIQhP)
- [Advanced graph theory, KAIST 2020](https://www.youtube.com/playlist?list=PLu06QHBZ8gavJ4UJqiXn8nYJbENQ\_cAJP)
------------------------------
### 시스템 프로그래밍
- [COMP1521 - Computer Systems Fundamentals (2025) - UNSW (Full Course: Website + Lectures, Labs, Assignments, Exercises, Exams, Video Playlist)](https://cgi.cse.unsw.edu.au/~cs1521/25T2/) | [Watch Lectures](https://www.youtube.com/playlist?list=PLUsPZdCcmwELH7BDprCzDSN40futwJGYb)
- [15-213 Introduction to Computer Systems, Fall 2015 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22b96d90ae-9871-4fae-91e2-b1627b43e25e%22&maxResults=150)
- [Computer Systems: A programmer's Perspective](https://www.youtube.com/playlist?list=PLyboo2CCDSWnhzzzzDQ3OBPrRiIjl-aIE)
- [CS361 - COMPUTER SYSTEMS - UIC](https://www.cs.uic.edu/~ckanich/cs361/f20/)
- [CS 3650 - Computer Systems - Fall 2020 - Nat Tuck - NEU](https://web.archive.org/web/20210423030302/https://ntuck-neu.site/2020-09/cs3650/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLtg\_A\_3rzLAtBuwQp6mA3WveYw9Q7GzIZ))
- [CS 4400 – Computer Systems Fall 2016 - UoUtah](https://www.eng.utah.edu/~cs4400/)
- [Systems - Aduni](http://aduni.org/courses/systems/index.php?view=cw)
- [CS110: Principles of Computer Systems - Stanford](https://web.stanford.edu/class/archive/cs/cs110/cs110.1202/)
- #### \*\*운영체제\*\*
- [Gatech CS6200 Intro to OS](https://www.youtube.com/playlist?list=PLTsf9UeqkReZbK7xqIYn\_mXmsQZIb011T)
- [APS 105 - Computer Fundamentals - Winter 2025 - Jon Eyolfson - University of Toronto](https://www.youtube.com/playlist?list=PLunILarQwxnm3ycdZKCg5Ex6DeuJhEWaG) ([Winter 2024](https://www.youtube.com/playlist?list=PLunILarQwxnma-0Z\_0DZ3nkWKpZN7HGbw))
- [ECS 150 - Operating Systems and Systems Programming - Fall 2020 - Joël Porquet-Lupine - UC Davis](https://lupteach.gitlab.io/courses/ucd-ecs150/online/)
- [ECE 344 - Operating Systems - Fall 2024 - Jon Eyolfson - University of Toronto](https://www.youtube.com/playlist?list=PLunILarQwxnntWWNJ64E7wC4KhsEwHWxB) ([Fall 2024 Section 2](https://www.youtube.com/playlist?list=PLunILarQwxnlW3S8i4gSV9I\_8qGX8xwtr)) ([Fall 2023](https://www.youtube.com/playlist?list=PLunILarQwxnngd9q965kViUzPqylDQ37M)) ([Fall 2022](https://www.youtube.com/playlist?list=PLunILarQwxnn-uwJeiOeWJctHC3MCORw9))
- [ECE 353 - Systems Software - Winter 2025 - Jon Eyolfson - University of Toronto](https://www.youtube.com/playlist?list=PLunILarQwxnlUsOvAOhMs9yCHnH0Vs9w2) ([Winter 2024](https://www.youtube.com/playlist?list=PLunILarQwxnnfpqfSzQVbj4JWPAn1ByiF)) ([Winter 2023](https://www.youtube.com/playlist?list=PLunILarQwxnl0SZ2zsgyVjU9NDD\_Rn-re))
- [ECE 454 - Computer Systems Programming - Fall 2024 - Jon Eyolfson - University of Toronto](https://www.youtube.com/playlist?list=PLunILarQwxnlzwF1oYp2CJc1rFNldOisZ)
- [CS124 Operating Systems - California Institute of Technology, Fall 2018 - Youtube](https://www.youtube.com/playlist?list=PL3swII2vlVoVbav6FV98pidq6BsTN4u56)
- [CS 162 Operating Systems and Systems Programming, Spring 2015 - University of California, Berkeley](https://archive.org/details/ucberkeley-webcast-PL-XXv-cvA\_iBDyz-ba4yDskqMDY6A1w\_c?sort=titleSorter) ([Fall 2020 - YouTube](https://www.youtube.com/playlist?list=PLF2K2xZjNEf97A\_uBCwEl61sdxWVP7VWC))
- [CS 4414 - Operating Systems, University of Virginia (rust-class)](http://rust-class.org/pages/classes.html)
- [CS 4414 Operating Systems, Fall 2018 - University of Virginia](https://www.cs.virginia.edu/~cr4bd/4414/F2018/schedule.html)
- [CSE 421/521 - Introduction to Operating Systems, SUNY University at Buffalo, NY - Spring 2016](https://www.ops-class.org/courses/buffalo/CSE421\_Spring2016/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLE6LEE8y2Jp-kbEcVR2W3vfx0Pdca0BD3)) ([Recitations 2016](https://www.youtube.com/playlist?list=PLE6LEE8y2Jp\_YJn8wu9aJTPOgeWqiaJDF)) ([Assignment walkthroughs](https://www.youtube.com/playlist?list=PLE6LEE8y2Jp9PC8fyzc2meL4XvrVSyP8O))
- [CS 377 - Operating Systems, Fall 16 - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbDTmsCRGWsMW\_PzIOpXnckw)
- [CS 577 - Operating Systems, Spring 20 - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbB2\_z9EkSfQIjq3yNzy8igs)
- [CS 537 - Introduction to Operating Systems - Andrea & Remzi Arpaci-Dusseau, University of Wisconsin-Madison](https://pages.cs.wisc.edu/~remzi/Classes/537/) ([OSTEP free textbook](https://pages.cs.wisc.edu/~remzi/OSTEP/)) ([Lecture Videos](https://www.youtube.com/playlist?list=PLIIvTtItv0oc0M0KtiYamrzS0Re6--PI1))
- [6.828 - Operating System Engineering [Fall 2014]](https://www.youtube.com/playlist?list=PLfciLKR3SgqNJKKIKUliWoNBBH1VHL3AP)
- [6.S081 - Operating System Engineering [Fall 2020]](https://pdos.csail.mit.edu/6.828/2020/schedule.html)
- [CSE 30341 - Operating Systems, Spr 2008](https://www.youtube.com/playlist?list=PLAB7D5CA7E262B0E2)
- [CSEP 551 Operating Systems Autumn 2014 - University of Washington](https://courses.cs.washington.edu/courses/csep551/14au/video/)
- [Introduction to Operating Systems - IIT Madras](https://nptel.ac.in/courses/106106144/)
- [CS194 Advanced Operating Systems Structures and Implementation, Spring 2013 InfoCoBuild, UC Berkeley](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs194-spring2013-berkeley.html)
- [CSE 60641 - Graduate Operating Systems, Fall 08](https://www.youtube.com/view\_play\_list?p=22B10D854588E20C)
- [Advanced Programming in the UNIX Environment](https://stevens.netmeister.org/631/)
- [Operating System - IIT Madras](https://www.youtube.com/playlist?list=PLZ2ps\_\_7DhBYcwlZ7GPCBzbowmiiF4BYR)
- [CS 153 Frontier Systems - Stanford University - Spring 2026](https://cs153.stanford.edu/)
- [EE415: Introduction to Operating Systems (KAIST)](https://www.youtube.com/playlist?list=PLoeerdvt7Rcx5oKGUI7SxAsltRPWhouFA)
- #### \*\*분산 시스템\*\*
- [CS 677 - Distributed Operating Systems, Spring 24 - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbBpWHfKUU9Dfdk8RmQ7B9EH)
- [CS 436 - Distributed Computer Systems - U Waterloo](https://www.youtube.com/playlist?list=PLawkBQ15NDEkDJ5IyLIJUTZ1rRM9YQq6N)
- [6.824 - Distributed Systems, Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLkcQbKbegkMqiWf7nF8apfMRL4P4sw8UL)
- [6.824 Distributed Systems - Spring 2020 - MIT](https://pdos.csail.mit.edu/6.824/schedule.html) ([Youtube](https://www.youtube.com/playlist?list=PLrw6a1wE39\_tb2fErI4-WkMbsvGQk9\_UB))
- [Distributed Systems Lecture Series](https://www.youtube.com/playlist?list=PLeKd45zvjcDFUEv\_ohr\_HdUFe97RItdiB)
- [Distributed Algorithms, https://canvas.instructure.com/courses/902299](https://www.youtube.com/playlist?list=PL700757A5D4B3F368)
- [CSEP 552 - PMP Distributed Systems, Spring 2013 - University of Washington](https://courses.cs.washington.edu/courses/csep552/13sp/) ([Videos](https://courses.cs.washington.edu/courses/csep552/13sp/video/))
- [CSE 490H - Scalable Systems: Design, Implementation and Use of Large Scale Clusters, Autumn 2008 - University of Washington](https://courses.cs.washington.edu/courses/cse490h/08au/lectures.htm) ([Videos](https://courses.cs.washington.edu/courses/cse490h/08au/video.htm))
- [MOOC - Cloud Computing Concepts - UIUC](https://www.youtube.com/playlist?list=PLFd87qVsaLhOkTLvfp6MC94iFa\_1c9wrU)
- [Distributed Systems (Prof. Pallab Dasgupta)](https://www.youtube.com/playlist?list=PLUJ7JmcrTifBROWODSG8wgyl20XgBuE-N)
- [EdX KTHx ID2203 Reliable Distributed Algorithms](https://www.youtube.com/playlist?list=PLx3mQFFeHPjndmQ0iP9j6C58b90hqGa0X)
- [Distributed Data Management - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ss-15/ddm)
- [Information Retrieval and Web Search Engines - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1516/IRWS)
- [Middleware and Distributed Systems (WS 2009/10) - Dr. Martin von Löwis - HPI](https://www.tele-task.de/series/729/)
- [CSE 138 - Distributed Systems - UC Santa Cruz, Spring 2020](https://www.youtube.com/playlist?list=PLNPUF5QyWU8O0Wd8QDh9KaM1ggsxspJ31) ([2021](https://www.youtube.com/playlist?list=PLNPUF5QyWU8PydLG2cIJrCvnn5I\_exhYx))
- [CMU 15 440 / 640 Distributed Systems Spring 2022, by Mahadev Satyanarayanan, Padmanabhan Pillai](https://www.youtube.com/playlist?list=PLIygTcviGPKAp30J9kcVW9jPzFC7Otpol)
- [UNC Comp533 - Distributed Systems Spring 2020](https://www.youtube.com/playlist?list=PLH5XTBxCO2hzgww9p5sew30lx3ngJsxcB)
- [Brown CSCI 1380 Distributed Computer Systems spring 2016, by Tom Doeppner & Rodrigo Fonseca](https://cs.brown.edu/courses/cs138/s16/syllabus.html)
- [Distributed Systems lecture series - Martin Kleppmann](https://www.youtube.com/playlist?list=PLeKd45zvjcDFUEv\_ohr\_HdUFe97RItdiB)
- [Distributed Algorithms - Jukka Suomela](https://www.youtube.com/playlist?list=PL2RY7P3JxZN8g9hFCasNqzuDhZbIbAj54)
- [Programming Parallel Computers - Jukka Suomela](https://www.youtube.com/playlist?list=PL2RY7P3JxZN-Pz1nwvnoJ9uEHmOmv4jmi)
- [Gatech CS7210 Distributed Computing](https://www.youtube.com/playlist?list=PLTsf9UeqkReZwDtqm1WePRLlXCnh1hPQt)
- #### \*\*실시간 시스템\*\*
- [CPCS 663 - Real-Time Systems: Video Material - TAMU](http://faculty.cs.tamu.edu/bettati/Courses/663/Video/presentation.html)
- [Real Time Systems - IIT Kharagpur](https://nptel.ac.in/courses/106105036/)
- [6.172 Performance Engineering of Software Systems - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-172-performance-engineering-of-software-systems-fall-2018/)
- [Performance Evaluation of Computer Systems - IIT Madras](https://nptel.ac.in/courses/106106048/)
- [Storage Systems - IISC Bangalore](https://nptel.ac.in/courses/106108058/)
- [MAP6264 - Queueing Theory - FAU](http://www.cse.fau.edu/~bob/courses/map6264/)([Video Lectures](https://vimeo.com/album/171324/))
- [EE 380 Colloquium on Computer Systems - Stanford University](http://web.stanford.edu/class/ee380/) ([Lecture videos](https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu))
------------------------------
### 데이터베이스 시스템
- [CMPSC 431W Database Management Systems, Fall 2015 - Penn State University](http://www.cse.psu.edu/~wul2/cmpsc431w/) [Lectures - YouTube](https://www.youtube.com/playlist?list=PLstRzn3gXZMdXqAiVJ1NN2CoyXHqma7pQ)
- [CS121 - Introduction to Relational Database Systems, Fall 2016 - Caltech](http://users.cms.caltech.edu/~donnie/cs121/)
- [CS 5530 - Database Systems, Spring 2016 - University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCrercQNP9tTsjjPdgRVYvC7)
- [Distributed Data Management (WT 2018/19) - HPI University of Potsdam](https://www.tele-task.de/series/1224/)
- [MOOC - Database Stanford Dbclass](https://www.youtube.com/playlist?list=PL6hGtHedy2Z4EkgY76QOcueU8lAC4o6c3)
- [CSEP 544, Database Management Systems, Au 2015 - University of Washington](https://www.youtube.com/playlist?list=PLTPQEx-31JXjQYrUKvAjUTWgCYluHGs\_L)
- [Database Design - IIT Madras](https://nptel.ac.in/courses/106106093/)
- [Fundamentals of Database Systems - IIT Kanpur](https://nptel.ac.in/courses/106104135/)
- [Principles of Database Management, Bart Baesens](https://www.youtube.com/playlist?list=PLdQddgMBv5zEhlpqdiUcf9aTNEtmESgyl)
- [FIT9003 Database Systems Design - Monash University](https://itunes.apple.com/us/podcast/fit9003-database-systems-design/id306569364)
- [15-445 - Introduction to Database Systems, CMU](https://15445.courses.cs.cmu.edu/fall2025/) ([YouTube-2017](https://www.youtube.com/playlist?list=PLSE8ODhjZXjYutVzTeAds8xUt1rcmyT7x)), ([YouTube-2018](https://www.youtube.com/playlist?list=PLSE8ODhjZXja3hgmuwhf89qboV1kOxMx7)),([YouTube-2019](https://www.youtube.com/playlist?list=PLSE8ODhjZXjbohkNBWQs\_otTrBTrjyohi)), ([YouTube-2021](https://www.youtube.com/playlist?list=PLSE8ODhjZXjZaHA6QcxDfJ0SIWBzQFKEG)), ([YouTube-2022](https://www.youtube.com/playlist?list=PLSE8ODhjZXjaKScG3l0nuOiDTTqpfnWFf)),([YouTube-2023](https://youtube.com/playlist?list=PLSE8ODhjZXjbj8BMuIrRcacnQh20hmY9g&si=R7F\_J9zbXsG07PjR)),([YouTube-2024](https://youtube.com/playlist?list=PLSE8ODhjZXjYDBpQnSymaectKjxCy6BYq&si=H-wfgjoLz6ifhZqS)),([YouTube-2025](https://youtube.com/playlist?list=PLSE8ODhjZXjYMAgsGH-GtY5rJYZ6zjsd5&si=KKXgy16Zm20utGyH))
- [15-721 - Advanced Database Systems, CMU](http://15721.courses.cs.cmu.edu/spring2024) ([YouTube-2024](https://youtube.com/playlist?list=PLSE8ODhjZXjYa\_zX-KeMJui7pcN1rIaIJ&si=J9cH2uZ0pFUu8q6f), [YouTube-2023](https://youtube.com/playlist?list=PLSE8ODhjZXjYzlLMbX3cR0sxWnRM7CLFn&si=O78E7wsQlVhgwE\_u), [YouTube-2022](https://youtube.com/playlist?list=PLSE8ODhjZXjasmrEd2\_Yi1deeE360zv5O&si=DsDfVhDp6j0n981J))
- [CS122 - Relational Database System Implementation, Winter 2014-2015 - Caltech](http://users.cms.caltech.edu/~donnie/cs122/)
- [CS 186 - Database Systems, UC Berkeley, Spring 2015](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs186-spring2015-berkeley.html)
- [CS 6530 - Graduate-level Database Systems, Fall 2016, University of Utah](https://www.cs.utah.edu/~lifeifei/cs6530/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLbuogVdPnkCqwHUcieMrytP453Ep0y6eI))
- [6.830/6.814 - Database Systems Fall 2014](https://www.youtube.com/playlist?list=PLfciLKR3SgqOxCy1TIXXyfTqKzX2enDjK)
- [Informatics 1 - Data & Analysis 2014/15- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/da.htm)
- [Database Management Systems, Aduni](http://aduni.org/courses/databases/index.php?view=cw)
- [D4M - Signal Processing on Databases](https://dspace.mit.edu/handle/1721.1/126284)
- [In-Memory Data Management (2013)Prof. Hasso Plattner - HPI](https://open.hpi.de/courses/imdb2013/items/72j6pftms3dOSunM98JhfW)
- [Distributed Data Management (WT 2019/20) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1285/)
- [CS122d - NoSQL Data Management (Spring 21) - Prof. Mike Carey - UC Irvine](https://uci.yuja.com/V/PlayList?node=9933576&a=1583628376&autoplay=1)
------------------------------
### 소프트웨어 공학
- #### \*\*객체 지향 설계\*\*
- [ECE 462 Object-Oriented Programming using C++ and Java - Purdue](https://engineering.purdue.edu/OOSD/F2008/F2008.html)
- [Object-oriented Program Design and Software Engineering - Aduni](http://aduni.org/courses/java/index.php?view=cw)
- [OOSE - Object-Oriented Software Engineering, Dr. Tim Lethbridge](https://www.youtube.com/playlist?list=PL6iDJCG2nkhfNlig8NY5ePPfGvtQX6yLa)
- [Object Oriented Systems Analysis and Design (Systems Analysis and Design in a Changing World)](https://www.youtube.com/playlist?list=PL6XklZATqYx9dj72MKG6wLYjljeB2odra)
- [CS 251 - Intermediate Software Design (C++ version) - Vanderbilt University](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp4ZsvD10uXmClGnukcu3Uff)
- [OOSE - Software Dev Using UML and Java](https://www.youtube.com/playlist?list=PLJ9pm\_Rc9HesnkwKlal\_buSIHA-jTZMpO)
- [Object-Oriented Analysis and Design - IIT Kharagpur](https://nptel.ac.in/courses/106105153/)
- [CS3 - Design in Computing - Richard Buckland UNSW](https://www.youtube.com/playlist?list=PL0C5D85DBA20E685C)
- [Informatics 1 - Object-Oriented Programming 2014/15- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/inf1op.htm)
- [Software Engineering with Objects and Components 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/seoc.htm)
- #### \*\*소프트웨어 공학\*\*
- [COMP1531 - Software Engineering Fundamentals - UNSW (2025)](https://cgi.cse.unsw.edu.au/~cs1531/25T2/) | [Video Playlist](https://www.youtube.com/playlist?list=PLxmsQaZsRXBRsn6Vk1RFo6hOlioMMdQBL)
- [Computer Science 169- Software Engineering - Spring 2015 - UCBerkeley](https://youtube.com/playlist?list=PLVEFwJhglgHJQEQ6RjMMjcclix94gp1k2)
- [Computer Science 169- Software Engineering - Fall 2019 - UCBerkeley](https://www.youtube.com/playlist?list=PLkFD6\_40KJIxCKgzL0uysjsAtfY3JawLS)
- [CS 5150 - Software Engineering, Fall 2014 - Cornell University](http://www.cs.cornell.edu/courses/cs5150/2014fa/materials.html)
- [Introduction to Service Design and Engineering - University of Trento, Italy](https://www.youtube.com/playlist?list=PLBdajHWwi0JCn87QuFT3e58mekU0-6WUT)
- [CS 164 Software Engineering - Harvard](https://www.youtube.com/watch?v=3zdfCR6c8vw&list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS)
- [System Analysis and Design - IISC Bangalore](https://nptel.ac.in/courses/106108102/)
- [Software Engineering - IIT Bombay](https://nptel.ac.in/courses/106101061/)
- [Dependable Systems (SS 2014)- HPI University of Potsdam](https://www.tele-task.de/series/1005/)
- [Automated Software Testing - ETH Zürich | Spring 2024](https://video.ethz.ch/lectures/d-infk/2024/spring/263-2815-00L/9c81df65-d04d-411a-bea4-cbd32eb249e5.html)
- [Software Testing - IIT Kharagpur](https://nptel.ac.in/courses/106105150/)
- [Software Testing - Udacity, course-cs258 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkWVHeC\_8aSIbSxE\_NXI76g)
- [Software Debugging - Udacity, course-cs259 | 2015](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkxK63TiT88oEe-AIBhr96A)
- [Software Engineering - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=jouBM4AH0jw&list=PLjEglKdMOevU2STTGq79duxTXDFuO-k1H&index=2)
- [CMU 17-445 Software Engineering for AI-Enabled Systems summer 2020, by Christian Kaestner](https://www.youtube.com/playlist?list=PLDS2JMJnJzdkQPdkhcuwcbJpjB84g9ffX)
- #### \*\*소프트웨어 아키텍처\*\*
- [CS 411 - Software Architecture Design - Bilkent University](http://video.bilkent.edu.tr/course\_videos.php?courseid=10)
- [MOOC - Software Architecture & Design - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkMTetlG7xKWaI5ZAZFX8fL)
- [CS-310 Scalable Software Architectures](https://www.youtube.com/playlist?list=PLWl7jvxH18r0u5VRZsOjhghNXc\_Ec4dZz)
- #### \*\*동시성\*\*
- [CS176 - Multiprocessor Synchronization - Brown University](http://cs.brown.edu/courses/cs176/course\_information.shtml) ([Videos from 2012](http://www.brown.edu/cis/sta/dev/herlihy\_csci1760\_fa12/#vid))
- [CS 282 (2014): Concurrent Java Network Programming in Android](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp4KSJPUyaQCj7x--NQ6kvcX)
- [CSE P 506 – Concurrency, Spring 2011 - University of Washington](https://courses.cs.washington.edu/courses/csep506/11sp/Home.html) ([Videos](https://courses.cs.washington.edu/courses/csep506/11sp/Videos.html))
- [CSEP 524 - Parallel Computation - University of Washington](https://courses.cs.washington.edu/courses/csep524/10sp/) ([Videos](https://courses.cs.washington.edu/courses/csep524/10sp/lectures/video.html))
- [Parallel Programming Concepts (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/977/)
- [Parallel Programming Concepts (WT 2012/13) - HPI University of Potsdam](https://www.tele-task.de/series/924/)
- [UIUC ECE 408 / CS 408 Applied Parallel Programming fall 2022, by Wen-mei Hwu, Sanjay Patel](https://www.youtube.com/playlist?list=PL6RdenZrxrw-UKfRL5smPfFFpeqwN3Dsz) ([Spring 2018](https://www.youtube.com/playlist?list=PLRRuQYjFhpmvu5ODQoY2l7D0ADgWEcYAX))
- [UIUC ECE 508 / CS 508 Manycore Parallel Algorithms spring 2019, by Wen-mei Hwu](https://www.youtube.com/playlist?list=PLRRuQYjFhpmspsME4LmLbuCG1VHbJmIcy)
- [UIUC CS 420 / ECE 492 / CSE 402 Introduction to Parallel Programming for Scientists and Engineers fall 2015, by Sanjay Kale](https://www.youtube.com/playlist?list=PL682UO4IMem9cAjfy\_RPjAc6k-HPYpTa9)
- [Stanford CME 213 Introduction to Parallel Computing using MPI, openMP, and CUDA winter 2020, by Eric Darve](https://www.youtube.com/playlist?list=PLAtMgFDMfGy2mysjPHN\_d1cf9sR1muRkq)
- [KAIST CS431: Concurrent Programming](https://www.youtube.com/playlist?list=PL5aMzERQ\_OZ9j40DJNlsem2qAGoFbfwb4)
- #### \*\*모바일 애플리케이션 개발\*\*
- [MOOC Programming Mobile Applications for Android Handheld Systems - University of Maryland](https://www.youtube.com/playlist?list=PLkHsKoi6eZnwilGXUc95CqS7Vw4uLLDLG)
- [CS 193p - Developing Applications for iOS, Stanford University](https://cs193p.sites.stanford.edu/)
- [CS S-76 Building Mobile Applications - Harvard](http://cs76.tv/2013/summer/)
- [CS 251 (2015): Intermediate Software Design](https://www.youtube.com/playlist?list=PLZ9NgFYEMxp7lylj-XC8h1kjatOjbh9ne)
- [Android App Development for Beginners Playlist - thenewboston](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGBsvRxJJOzG4r4k\_zLKrnxl)
- [Android Application Development Tutorials - thenewboston](https://www.youtube.com/playlist?list=PL2F07DBCDCC01493A)
- [MOOC - Developing Android Apps - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnMwH5-FNkErnnq\_aSy706S)
- [MOOC - Advanced Android App Development - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmETCT07vnDSiIaUBuyut0X)
- [CSSE490 Android Development Rose-Hulman Winter 2010-2011, Dave Fisher](https://www.youtube.com/playlist?list=PLF3EEB647F6B52F03)
- [iOS Course, Dave Fisher](https://www.youtube.com/playlist?list=PL96C635E4DCD393A8)
- [Developing iPad Applications for Visualization and Insight - Carnegie Mellon University](https://itunes.apple.com/us/course/developing-ipad-applications/id499050344)
- [Mobile Computing - IIT Madras](https://nptel.ac.in/courses/106106147/)
- [Mobile Information Systems - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=8EmbrZJwMOI&list=PLjEglKdMOevWv4zPW0diw7iJFdT7s4sTP)
------------------------------
### 인공지능
- [CS50 - Introduction to Artificial Intelligence with Python (and Machine Learning), Harvard OCW](https://cs50.harvard.edu/ai/)
- [10-202: Introduction to Modern AI - CMU](https://modernaicourse.org/)
- [CS 188 - Introduction to Artificial Intelligence, UC Berkeley - Spring 2025, by John Canny, Oliver Grillmeyer](https://inst.eecs.berkeley.edu/~cs188/sp25/) ([Spring 2024](https://inst.eecs.berkeley.edu/~cs188/sp24/)) ([Spring 2023](https://www.youtube.com/playlist?list=PLp8QV47qJEg7WWVg\_5eOECzVPpy23UjJz))
- [6.034 Artificial Intelligence, MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/)
- [CS221: Artificial Intelligence: Principles and Techniques - Autumn 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX)
- [15-780 - Graduate Artificial Intelligence, Spring 14, CMU](http://www.cs.cmu.edu/~zkolter/course/15-780-s14/lectures.html)
- [CSE 592 Applications of Artificial Intelligence, Winter 2003 - University of Washington](https://courses.cs.washington.edu/courses/csep573/03wi/lectures/index.htm)
- [CS322 - Introduction to Artificial Intelligence, Winter 2012-13 - UBC](http://www.cs.ubc.ca/~mack/CS322/) ([YouTube](https://www.youtube.com/playlist?list=PLDPnGbm0sUmpzvcGvktbz446SLdFbfZVU))
- [CS 4731/7632: Game AI, Spring 2021, Georgia Tech](https://mediaspace.gatech.edu/search?keyword=cs7632\_2025&sortBy=createdAtAsc&fields=tags&pageContext=e-tag-search)
- [CS 4804: Introduction to Artificial Intelligence, Fall 2016](https://www.youtube.com/playlist?list=PLUenpfvlyoa1iiSbGy9BBewgiXjzxVgBd)
- [CS 5804: Introduction to Artificial Intelligence, Spring 2015](https://www.youtube.com/playlist?list=PLUenpfvlyoa0PB6\_kqJ9WU7m6i6z1RhfJ)
- [Artificial Intelligence, Fall 2023 - FAU](https://www.fau.tv/course/id/3595) ([Spring 2023](https://www.fau.tv/course/id/3386)) ([Fall 2022](https://www.fau.tv/course/id/3180)) ([Spring 2021](https://www.fau.tv/course/id/2095)) ([Fall 2020](https://www.fau.tv/course/id/1690)) ([Fall 2018](https://www.fau.tv/course/id/713)) ([Spring 2018](https://www.fau.tv/course/id/657))
- [Artificial Intelligence - IIT Kharagpur](https://nptel.ac.in/courses/106105077/)
- [Artificial Intelligence - IIT Madras](https://nptel.ac.in/courses/106106126/)
- [Artificial Intelligence(Prof.P.Dasgupta) - IIT Kharagpur](https://nptel.ac.in/courses/106105079/)
- [MOOC - Intro to Artificial Intelligence - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlqMkzr4xyuD6cXTIgPuzgn)
- [MOOC - Artificial Intelligence for Robotics - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkCSYXw6-a\_aAoXVKLDwnHK)
- [Graduate Course in Artificial Intelligence, Autumn 2012 - University of Washington](https://www.youtube.com/playlist?list=PLbQ3Aya0VERDoDdbMogU9EASJGWris9qG)
- [Agent-Based Systems 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/abs.htm)
- [Informatics 2D - Reasoning and Agents 2014/15- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/inf2d.htm)
- [Artificial Intelligence - Hochschule Ravensburg-Weingarten](https://www.youtube.com/playlist?list=PL39B5D3AFC249556A)
- [Deductive Databases and Knowledge-Based Systems - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1516/KBS)
- [Artificial Intelligence: Knowledge Representation and Reasoning - IIT Madras](https://nptel.ac.in/courses/106106140/)
- [Semantic Web Technologies by Dr. Harald Sack - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAeihlKcWpzVzB51rr014TwD)
- [Knowledge Engineering with Semantic Web Technologies by Dr. Harald Sack - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAcBXlhTti7kzetSsi1PpJGR)
- [T81-558: Applications of Deep Neural Networks by Jeff Heaton, 2022, Washington University in St. Louis](https://sites.wustl.edu/jeffheaton/t81-558/)
- [MSU programming for AI](https://www.youtube.com/playlist?list=PLZ-krWGO-UEz84TseDMIlx2Set6xZp0YP)
------------------------------
### 머신러닝
- #### \*\*머신러닝 개론\*\*
- [Introduction to Machine Learning for Coders](https://course18.fast.ai/ml)
- [MOOC - Statistical Learning, Stanford University](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
- [Statistical Learning with Python - Stanford Online](https://www.youtube.com/playlist?list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ)
- [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
- [CS 155 - Machine Learning & Data Mining, 2023 - Caltech](https://www.youtube.com/playlist?list=PLu5yXJ11s4r-nBlojSQC9seeUF1IxX-\_z) ([Notes-2020](http://www.yisongyue.com/courses/cs155/2020\_winter/)) ([YouTube-2020](https://www.youtube.com/playlist?list=PLuz4CTPOUNi67hPzb9zJXH1cbeN7LKNiD)) ([Notes-2019](http://www.yisongyue.com/courses/cs155/2019\_winter/)) ([YouTube-2019](https://www.youtube.com/playlist?list=PLuz4CTPOUNi7r2trKGgwaedY17MADTay4)) ([Notes-2018](http://www.yisongyue.com/courses/cs155/2018\_winter/)) ([YouTube-2018](https://www.youtube.com/playlist?list=PLuz4CTPOUNi644ypoxzP1frkPYVHdjDJU)) ([Notes-2017](http://www.yisongyue.com/courses/cs155/2017\_winter/)) ([YouTube-2017](https://www.youtube.com/playlist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC)) ([Notes-2016](http://www.yisongyue.com/courses/cs155/2016\_winter/)) ([YouTube-2016](https://www.youtube.com/playlist?list=PL5HdMttxBY0BVTP9y7qQtzTgmcjQ3P0mb))
- [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html)
- [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) ([YouTube](https://www.youtube.com/playlist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ))
- [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
- [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701\_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO\_6-bSqHTTV7w9u7grTXBHMH-mw3qn)) ([Fall 2020 by Ziv Bar-Joseph, Eric Xing](https://www.youtube.com/playlist?list=PLsWN0V-b507g7dbQTUvFkKZEqdHR5Fh4P))
- [10 - 301/601 - Introduction to Machine Learning - Fall 2023 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22d5bf275d-ff88-4bf6-a865-b065010f55c2%22)
- [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC\_ffO4q\_rW0bqQB80\_vcQB09HOA3ClV)
- [Mediterranean Machine Learning summer school 2024](https://www.youtube.com/playlist?list=PLF-wkqRv4u1bV4Zd1UepYfyZXkv6Bz6ra) ([YouTube-2023](https://www.youtube.com/playlist?list=PLF-wkqRv4u1Y-Bret-wrcPypPCZ3Gg\_3L)) ([YouTube-2022](https://www.youtube.com/playlist?list=PLF-wkqRv4u1agtfVaDsDUaMHmToP84Fk6)) ([YouTube-2021](https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked))
- [LxMLS Lisbon Machine Learning School 2024](https://www.youtube.com/playlist?list=PLQl\_xdhSmQeh4eRfAwETbtJJLPKcDLrzw) ([YouTube-2023](https://www.youtube.com/playlist?list=PLQl\_xdhSmQeikRCf-wJ8NCK51JOMHGOCP)) ([YouTube-2022](https://www.youtube.com/playlist?list=PLQl\_xdhSmQejdxQL7qI5aJkLcAQJ68Abp)) ([YouTube-2021](https://www.youtube.com/playlist?list=PLQl\_xdhSmQegzsLin54NbfePFAuTUEmUj)) ([YouTube-2020](https://www.youtube.com/playlist?list=PLQl\_xdhSmQehE6aAk774yWMag4NNBGr5k))
- [Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)](https://www.youtube.com/playlist?list=PL2UML\_KCiC0UlY7iCQDSiGDMovaupqc83)
- [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https://www.youtube.com/playlist?list=PLoROMvodv4rNH7qL6-efu\_q2\_bPuy0adh) ([Spring 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNyWOpJg\_Yh4NSqI4Z4vOYy))
- [CMS 165 Foundations of Machine Learning - 2019 - Caltech](http://tensorlab.cms.caltech.edu/users/anima/cms165-2019.html) ([Youtube](https://www.youtube.com/playlist?list=PLVNifWxslHCA5GUh0o92neMiWiQiGVFqp))
- [CMS 165 Foundations of Machine Learning and Statistical Inference - 2020 - Caltech](https://www.youtube.com/playlist?list=PLVNifWxslHCDlbyitaLLYBOAEPbmF1AHg)
- [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf)
- [CS 446 - Machine Learning, Fall 2016, UIUC](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A\_gz-IW7YSpwdnD2O)
- [CS 582 - Machine Learning for Bioinformatics, Fall 2024, UIUC](https://www.youtube.com/playlist?list=PLIygTcviGPKBtxPX875Z8suCYGJkrPQ2Z)
- [CMPUT 267 Machine Learning - Fall 2024 - University of Alberta](https://vladtkachuk4.github.io/machinelearning1/) ([Youtube](https://www.youtube.com/playlist?list=PLv\_4EzuTPftra9U1UyjzMZABTPY50TGO0))
- [ECE 364 - Programming Methods for Machine Learning, Spring 2025, UIUC](https://www.youtube.com/playlist?list=PLIygTcviGPKD0WT5NEsD6AIqaeV4azJwN)
- [undergraduate machine learning at UBC 2012, Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--Ecf\_5nCbnSQMHqORpiChfJf)
- [CS 229 - Machine Learning - Stanford University](https://see.stanford.edu/Course/CS229) ([Autumn 2018](https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU))
- [CS 189/289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley](https://people.eecs.berkeley.edu/~jrs/189/)
- [CS 189/289A: Intro to Machine Learning - UC Berkeley - Spring 2026](https://eecs189.org/sp26/)
- [CPSC 340: Machine Learning and Data Mining (2018) - UBC](https://www.youtube.com/playlist?list=PLWmXHcz\_53Q02ZLeAxigki1JZFfCO6M-b)
- [CS391L Machine Learning, Spring 2025 - UT Austin](https://utcs-ml-course.github.io/main/Lectures/)
- [CS4780/5780 Machine Learning, Fall 2013 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2013fa/)
- [CS4780/5780 Machine Learning, Fall 2018 - Cornell University](http://www.cs.cornell.edu/courses/cs4780/2018fa/page18/index.html) ([Youtube](https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS))
- [CSE474/574 Introduction to Machine Learning - SUNY University at Buffalo](https://www.youtube.com/playlist?list=PLEQDy5tl3xkMzk\_zlo2DPzXteCquHA8bQ)
- [CS 5350/6350 - Machine Learning, Spring 2024, University of Utah](https://svivek.com/teaching/machine-learning/spring2024/) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCr-ANNi5GZid3MvSkzm\_wnM))
- [ECE 4252/8803 Fundamentals of Machine Learning (FunML), Spring 2024 - Georgia Tech](https://alregib.ece.gatech.edu/georgia-tech-courses/funml/)
- [ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech](https://filebox.ece.vt.edu/~s15ece5984/)
- [CSx824/ECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech](https://www.youtube.com/playlist?list=PLUenpfvlyoa0rMoE5nXA8kdctBKE9eSob)
- [STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto](http://www.cs.toronto.edu/~rsalakhu/STA4273\_2015/lectures.html)
- [CSC 2515 Introduction to Machine Learning, Amir-massoud Farahmand, Fall 2021, University of Toronto](https://www.youtube.com/playlist?list=PLCveiXxL2xNZRg7PVp-JM4teSmaBETksy)
- [ECE 421 Introduction to Machine Learning, Amir Ashouri, Winter 2019, University of Toronto](https://www.youtube.com/playlist?list=PL-Mfq5QS-s8iS9XqKuApPE1TSlnZblFHF)
- [EECS 4404E/5327 Introduction to Machine Learning, Amir Ashouri, Fall 2019, York University](https://www.youtube.com/playlist?list=PL-Mfq5QS-s8horb94sQH4xcL85zDkpL9w)
- [CS 480/680 Introduction to Machine Learning, Gautam Kamath, University of Waterloo](http://www.gautamkamath.com/courses/CS480-sp2021.html) ([Spring 2021](https://www.youtube.com/playlist?list=PLmd\_zeMNzSvSzRRc4Q29qEcpxbhdwjMOx))
- [CS 480/680 Introduction to Machine Learning, Kathryn Simone, University of Waterloo](https://github.com/kpc-simone/cs480-f24) ([Fall 2024](https://www.youtube.com/playlist?list=PLH84ETHrlsC8sbfb8WaOeXSx9ySH2Qoyc))
- [CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo](https://www.youtube.com/channel/UCR4\_akQ1HYMUcDszPQ6jh8Q/videos)
- [STAT 441/841 Classification Winter 2017 , Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1HzXDemu7K4ETcF0Ld\_B5adG)
- [10-605 - Machine Learning with Large Datasets, Fall 2016 - CMU](https://www.youtube.com/channel/UCIE4UdPoCJZMAZrTLuq-CPQ/videos)
- [Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
- [Pattern Analysis (2018) - FAU](https://www.fau.tv/course/id/655) ([Class 2017](https://www.fau.tv/course/id/544)) ([Class 2016](https://www.fau.tv/course/id/449)) ([Class 2015](https://www.fau.tv/course/id/355)) ([Class 2009](https://www.fau.tv/course/id/2))
- [Pattern Recognition (2020-2021) - FAU](https://www.fau.tv/course/id/1579) ([Class 2012-2013](https://www.fau.tv/course/id/173))
- [Beyond the Patterns (2020-2021) - FAU](https://www.fau.tv/course/id/1868)
- [Python and machine learning - Stanford Crowd Course Initiative](https://www.youtube.com/playlist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB)
- [MOOC - Machine Learning Part 1a - Udacity/Georgia Tech](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo) ([Part 1b](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlkESDcHD-0oqVx5sAIgz7O) [Part 2](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7) [Part 3](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu\_pdSNp))
- [Pattern Recognition Class (2012)- Universität Heidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRDZVU6wxPzGdx1CN12fn0w)
- [Introduction to Machine Learning and Pattern Recognition - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PPGGtFsTNoDWKl-VNVX5d6b)
- [Introduction to Machine Learning - IIT Kharagpur](https://nptel.ac.in/courses/106105152/)
- [Introduction to Machine Learning - IIT Madras](https://nptel.ac.in/courses/106106139/)
- [Pattern Recognition - IISC Bangalore](https://nptel.ac.in/courses/117108048/)
- [Pattern Recognition and Application - IIT Kharagpur](https://nptel.ac.in/courses/117105101/)
- [Pattern Recognition - IIT Madras](https://nptel.ac.in/courses/106106046/)
- [Machine Learning Summer School 2013 - Max Planck Institute for Intelligent Systems Tübingen](https://www.youtube.com/playlist?list=PLqJm7Rc5-EXFv6RXaPZzzlzo93Hl0v91E)
- [Machine Learning - Professor Kogan (Spring 2016) - Rutgers](https://www.youtube.com/playlist?list=PLauepKFT6DK\_1\_plY78bXMDj-bshv7UsQ)
- [CS273a: Introduction to Machine Learning](http://sli.ics.uci.edu/Classes/2015W-273a) ([YouTube](https://www.youtube.com/playlist?list=PLkWzaBlA7utJMRi89i9FAKMopL0h0LBMk))
- [Machine Learning Crash Course 2015](https://www.youtube.com/playlist?list=PLyGKBDfnk-iD5dK8N7UBUFVVDBBtznenR)
- [COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16](http://inverseprobability.com/mlai2015/)
- [Introduction to Machine Learning - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
- [Machine Learning - Pedro Domingos- University of Washington](https://www.youtube.com/user/UWCSE/playlists?view=50&sort=dd&shelf\_id=16)
- [CSE 446/546 - Machine Learning, Spring 2020 - University of Washington](https://courses.cs.washington.edu/courses/cse446/20sp/schedule/) ([Videos](https://www.youtube.com/playlist?list=PLrE1feouzSWr7LBFAeRZIb7CN9H6dB9Jt))
- [Machine Learning (COMP09012)](https://www.youtube.com/playlist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t)
- [Probabilistic Machine Learning 2020 - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
- [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
- [COMS W4995 - Applied Machine Learning - Spring 2020 - Columbia University](https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/)
- [Introductory Applied Machine Learning - Edinburgh University](https://media.ed.ac.uk/channel/Introductory%2BApplied%2BMachine%2BLearning/52615121)
- [Machine Learning for Engineers 2022](https://apmonitor.com/pds) ([YouTube](https://www.youtube.com/watch?v=Gh5rbBLh4JY&list=PLLBUgWXdTBDg1K1bu60lHypSzSP-WSBmx))
- [10-418 / 10-618 (Fall 2019) Machine Learning for Structured Data](https://www.youtube.com/playlist?list=PL4CxkUJbvNVihRKP4bXufvRLIWzeS-ieP)
- [ORIE 4741/5741: Learning with Big Messy Data - Cornell](https://people.orie.cornell.edu/mru8/orie4741/lectures.html)
- [Machine Learning in IoT](https://www.youtube.com/playlist?list=PLeZoXD\_TLsLbW\_ILvL9TlhBYdW8wJyON-)
- [Stanford CS229M: Machine Learning Theory - Fall 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh)
- [Intro to Machine Learning and Statistical Pattern Classification - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd\_2KyGirGEvKlniaWeLOHhUF3)
- [CMU's Multimodal Machine Learning course (11-777), Fall 2020](https://www.youtube.com/playlist?list=PL-Fhd\_vrvisNup9YQs\_TdLW7DQz-lda0G)
- [EE104: Introduction to Machine Learning - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rN\_Uy7\_wmS051\_q1d6akXmK)
- [CPSC 330: Applied Machine Learning (2020) - UBC](https://www.youtube.com/playlist?list=PLWmXHcz\_53Q2BXsWviGgEqdlSHmfsjSzC)
- [Machine Learning 2013 - Nando de Freitas, UBC](https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6)
- [Machine Learning, 2014-2015, University of Oxford](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/)
- [10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](https://www.stat.cmu.edu/~ryantibs/statml/) ([Spring 2015](https://www.youtube.com/playlist?list=PLjbUi5mgii6BWEUZf7He6nowWvGne\_Y8r))
- [10-715 Advanced Introduction to Machine Learning - CMU](http://www.cs.cmu.edu/~bapoczos/Classes/ML10715\_2015Fall/) ([YouTube](https://www.youtube.com/playlist?list=PL4DwY1suLMkcu-wytRDbvBNmx57CdQ2pJ))
- [CS 281B - Scalable Machine Learning, Alex Smola, UC Berkeley](http://alex.smola.org/teaching/berkeley2012/syllabus.html)
- [100 Days of Machine Learning - CampusX (Hindi)](https://www.youtube.com/playlist?list=PLKnIA16\_Rmvbr7zKYQuBfsVkjoLcJgxHH)
- [CampusX Data Science Mentorship Program 2022-23 (Hindi)](https://www.youtube.com/playlist?list=PLKnIA16\_RmvbAlyx4\_rdtR66B7EHX5k3z)
- [Statistical Machine Learning - S2023 - Benyamin Ghojogh](https://www.youtube.com/playlist?list=PLPrxGIUWsqP2g7cpk0nFFt0c4aRcREq2s)
- [MIT 6.5940 EfficientML.ai Lecture, Fall 2023](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)
- [TinyML - Tiny Machine Learning at UPenn](https://www.youtube.com/playlist?list=PL7rtKJAz\_mPe6kAbiH6Ucq02Vpa95qvBJ)
- [ECE 4760 (Digital Systems Design Using Microcontrollers) at Cornell for the Fall, 2022](https://www.youtube.com/playlist?list=PLDqMkB5cbBA5oDg8VXM110GKc-CmvUqEZ) ([Spring 2021](https://www.youtube.com/playlist?list=PLDqMkB5cbBA6FEJuj94gl-9vw8xcHu9Gp))
- [EfficientML.ai Lecture, Fall 2023, MIT 6.5940](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)
- [SFU CMPT 727 Statistical Machine Learning, by Maxwell Libbrecht](https://coursys.sfu.ca/2023sp-cmpt-727-g1/pages/) ([Spring 2023](https://www.youtube.com/playlist?list=PL\_5SuHtr8fsrK9NqWWSL4YL8urMAHLsvU)) ([Spring 2022](https://www.youtube.com/playlist?list=PL\_5SuHtr8fsp95AhIKeTHbpcVdhlhB9h6))
- [UC Berkeley CS 189 / 289A Introduction to Machine Learning fall 2023, by Jennifer Listgarten & Jitendra Malik](https://eecs189.org/)
- [UC Berkeley CS 189 Introduction to Machine Learning (CDSS offering) spring 2022, by Marvin Zhang](https://www.youtube.com/playlist?list=PLCuQm2FL98HTlRmlwMk2AuFEM9n1c06HE)
- [UC San Diego/edX DSE 220X Machine Learning Fundamentals, by Sanjoy Dasgupta](https://www.youtube.com/playlist?list=PLUPLKa8g2P75vrLVe6HKdgAwfuU89RfqB)
- [MIT 6.036 Introduction to Machine Learning spring 2019, by Leslie Kaelbling](https://www.youtube.com/playlist?list=PLQEw29vp6f1Ae9dp8vkKB8H6sF1PHvP5N)
- [LMU Munich Introduction to Machine Learning](https://slds-lmu.github.io/i2ml/)
- [CMU 15 388 / 15 688 Practical Data Science, by Zico Kolter](https://www.datasciencecourse.org/lectures/) ([Fall 2019](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22618ea253-ca45-4b14-9f1d-aab501543bd2%22)) ([Spring 2018](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22912b80a3-625d-405d-8905-a8620133666b%22))
- [UW Madison CS 320 Data Programming II spring 2021, by Tyler R. Caraza-Harter](https://tyler.caraza-harter.com/cs320/s21/schedule.html)
- [UC San Diego COGS9 Introduction to Data Science fall 2020, by Jason Fleischer](https://www.youtube.com/playlist?list=PLaaNbhBDEsoFarUB58v9s7pUVoyAahMeQ)
- [UCLA Stats 15 Introduction to Data Science fall 2022, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKCEzYDpJha6hP6ne-50sT1o)
- [UCLA Stats 21 Python and Other Technologies for Data Science spring 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKAdsiprcbdk5HHPxS6PloWE) ([Spring 2021](https://www.youtube.com/playlist?list=PLKR7271tMEmgBPgu4LtjDhX3ywpTxda5g))
- [UCLA Stats C161/C261 Introduction to Pattern Recognition and Machine Learning winter 2024, by Arash Amini](https://www.youtube.com/playlist?list=PLN\_qg0-2-0SxQ2vlXxlZVMKkt4gI1YYP8) ([Winter 2023](https://www.youtube.com/playlist?list=PLN\_qg0-2-0SwLCXGUyM3FNSRwG6GNgONr))
- [UCLA Stats 231C Theories of Machine Learning spring 2022, by Arash Amini](https://www.youtube.com/playlist?list=PLN\_qg0-2-0SxKyZLv\_FotPDED5ET\_rQmo)
- [Princeton COS 511 Theoretical Machine Learning spring 2026, by Elad Hazan](https://sites.google.com/view/cos-511-spring-2026/home)
- [MSU Machine Learning](https://www.youtube.com/watch?v=kMf0qDtQ\_PM&list=PLZ-krWGO-UEyPHsZfOjYH03\_TyIN2pPhl&pp=iAQB)
- [Data Science for Dynamical Systems, by Oliver Wallscheid & Sebastian Peitz](https://github.com/DS-4-DS/DS4DS\_Course) ([YouTube](https://www.youtube.com/@DataScience4DynamicalSystems/playlists))
- [Cambridge Statistical Learning in Practice 2021, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT\_b7sMBktkAgV9-cP052JFhb)
- [Data 8: The Foundations of Data Science - UC Berkeley](http://data8.org/) ([Spring 23](https://www.data8.org/sp23/)) ([Fall 22](https://www.data8.org/fa22/)) ([Spring 22](https://www.data8.org/sp22/)) ([Summer 17](http://data8.org/su17/))
- [Data 144: Foundations of Data Science spring 2021 - Vassar College](https://www.youtube.com/playlist?list=PLIygTcviGPKB9hHuywn56TraSMv2pRumr) ([Course materials](https://github.com/jwaterman/data144-materials-sp21))
- [CSE519 - Data Science Fall 2016 - Skiena, SBU](https://www.youtube.com/playlist?list=PLOtl7M3yp-DVBdLYatrltDJr56AKZ1qXo)
- [CS 109 Data Science, Harvard University](http://cs109.github.io/2015/pages/videos.html) ([YouTube](https://www.youtube.com/playlist?list=PLb4G5axmLqiuneCqlJD2bYFkBwHuOzKus))
- [6.0002 Introduction to Computational Thinking and Data Science - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/)
- [Data 100: Principles and Techniques of Data Science - UC Berkeley](https://ds100.org) ([Fall 25](https://ds100.org/fa25/lectures/01/)) ([Fall 24](https://www.youtube.com/playlist?list=PLIygTcviGPKBzDKR72ILypzPQZ\_Cz6HcH)) ([Spring 24](https://ds100.org/sp24/)) ([Summer 19](https://www.youtube.com/playlist?list=PLPHXc20GewP8J56CisONS\_mFZWZAfa7jR))
- [Data 102 - Spring 21- UC Berkeley](https://data102.org/sp21/#lecture-week-14) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKAEbY32OXjmkQbD0uRhge9Y))
- [Distributed Data Analytics (WT 2017/18) - HPI University of Potsdam](https://www.tele-task.de/series/1179/)
- [Data Profiling and Data Cleansing (WS 2014/15) - HPI University of Potsdam](https://www.tele-task.de/series/1027/)
- [CS 229r - Algorithms for Big Data, Harvard University](http://people.seas.harvard.edu/~minilek/cs229r/fall15/lec.html) ([Youtube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0v1kQTpqpuu5kEJo2i-iUyf))
- [Algorithms for Big Data - IIT Madras](https://nptel.ac.in/courses/106106142/)
- [Python Data Science with the TCLab](https://github.com/APMonitor/data\_science) ([YouTube](https://www.youtube.com/watch?v=pAgW\_bZVo88&list=PLLBUgWXdTBDg1Qgmwt4jKtVn9BWh5-zgy))
- [Foundations of Data Analysis (Fall 2020)- University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCqB1sx1eheVmLtp2EN7osYt)
- [Introduction to Data Science (IDS) - Wil van der Aalst (RWTH Aachen University)](https://www.youtube.com/playlist?list=PLG\_1ZxIPXO0vReKHuzL-n--f4iO2JIjcJ) ([2021-2022 edition](PLG\_1ZxIPXO0vTTfheRNDhq4vNYAdJBUyC))
- [Machine Learning Class (Winter 2019-2020) - UniHeidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kTOLHk3a2ySNujmjan\_AcZ1)
- [Toronto ECE 1513 Introduction to Machine Learning winter 2026, by Ali Bereyhi](https://youtube.com/playlist?list=PLcFgNUo9s\_Aj9a8fXwMdqfEk3\_h5RtoLs)
- #### \*\*데이터 마이닝\*\*
- [CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington](https://courses.cs.washington.edu/courses/csep546/16sp/) ([YouTube](https://www.youtube.com/playlist?list=PLTPQEx-31JXgtDaC6-3HxWcp7fq4N8YGr))
- [CS 5140/6140 - Data Mining, Spring 2020, University of Utah by Prof. Jeff Phillips](https://users.cs.utah.edu/~jeffp/teaching/cs5140-S20/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCrEf65zrd3J1UG3LT6TcDlt))
- [CS 5140/6140 - Data Mining, Spring 2023, University of Utah by Prof. Ana Marasović](https://utah-data-mining-spring23.github.io/) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCrnLNqZPnTuG\_s19TNDoad0))
- [CS 5955/6955 - Data Mining, University of Utah](http://www.cs.utah.edu/~jeffp/teaching/cs5955.html) ([YouTube](https://www.youtube.com/channel/UCcrlwW88yMcXujhGjSP2WBg/videos))
- [Statistics 202 - Statistical Aspects of Data Mining, Summer 2007 - Google](http://www.stats202.com/original\_index.html) ([YouTube](https://www.youtube.com/playlist?list=PLFE776F2C513A744E))
- [MOOC - Text Mining and Analytics by ChengXiang Zhai](https://www.youtube.com/playlist?list=PLLssT5z\_DsK8Xwnh\_0bjN4KNT81bekvtt)
- [Information Retrieval SS 2014, iTunes - HPI](https://itunes.apple.com/us/itunes-u/information-retrieval-ss-2014/id874200291)
- [MOOC - Data Mining with Weka](https://www.youtube.com/playlist?list=PLm4W7\_iX\_v4NqPUjceOGd-OKNVO4c\_cPD)
- [CS 290 DataMining Lectures](https://www.youtube.com/playlist?list=PLB4CCA346A5741C4C)
- [CS246 - Mining Massive Data Sets, Winter 2016, Stanford University](https://web.stanford.edu/class/cs246/) ([YouTube](https://www.youtube.com/channel/UC\_Oao2FYkLAUlUVkBfze4jg/videos))
- [Information Retrieval - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ\_oGQisn)
- [Information Retrieval - WS 2022/23 - Universität Freiburg](https://ad-wiki.informatik.uni-freiburg.de/teaching/InformationRetrievalWS2223)
- [CAP6673 - Data Mining and Machine Learning - FAU](http://www.cse.fau.edu/~taghi/classes/cap6673/)([Video lectures](https://vimeo.com/album/1505953))
- [CS 412 - Introduction to Data Mining - UIUC](https://www.youtube.com/playlist?list=PLIygTcviGPKDZi44-yuH2XH9UaHdaJkxs)
- [CS 512 - Data Mining Principles - UIUC](https://github.com/spacemanidol/CS512DM/tree/main/lectures) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKABUzEm9v1PuKLlb0AQ9tdH))
- #### \*\*확률적 그래픽 모델\*\*
- [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut)
- [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](https://www.cs.cmu.edu/~epxing/Class/10708-20/lectures.html)
- [Probabilistic Graphical Models, Daphne Koller, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels)
- [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
- #### \*\*딥러닝\*\*
- [Full Stack Deep Learning - Course 2022](https://www.youtube.com/watch?v=-Iob-FW5jVM&list=PL1T8fO7ArWleMMI8KPJ\_5D5XSlovTW\_Ur)
- [Full Stack Deep Learning - Course 2021](https://www.youtube.com/watch?v=fGxWfEuUu0w&list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)
- [NYU Deep Learning Spring 2020](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
- [NYU Deep Learning Spring 2021](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
- [15.773: Hands-On Deep Learning Spring 2024 - MIT](https://ocw.mit.edu/courses/15-773-hands-on-deep-learning-spring-2024/video\_galleries/lecture-videos/)
- [6.7960: Deep Learning Fall 2024 - MIT](https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/video\_galleries/lecture-videos/)
- [Intro to Deep Learning and Generative Models Course - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd\_2KJtIXOW0zFhFfBaJJilH51)
- [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
- [CS231n Deep Learning for Computer Vision - Stanford University](https://cs231n.stanford.edu/schedule.html) ([Spring 2025](https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16)) ([Winter 2016 Andrej Karpathy](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC))
- [Deep Learning: CS 182 Spring 2021](https://www.youtube.com/playlist?list=PL\_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)
- [10-414/714: Deep Learning Systems - CMU](https://dlsyscourse.org/lectures/) ([Youtube](https://www.youtube.com/@deeplearningsystemscourse1116/videos))
- [11-785: Introduction to Deep Learning - CMU](https://deeplearning.cs.cmu.edu/S24/index.html) ([Lectures - YouTube-2024](https://www.youtube.com/playlist?list=PLp-0K3kfddPxUJzAW0KxNNjGiK\_hISFas), [Recitations - YouTube-2024](https://www.youtube.com/playlist?list=PLp-0K3kfddPzNnco9QQAoTx\_sVhZgHK-n))
- [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/)
- [Part 2: Deep Learning from the Foundations - fast.ai](https://course19.fast.ai/part2)
- [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
- [Self-Driving Cars — Andreas Geiger, 2021/22](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/self-driving-cars/) ([YouTube](https://www.youtube.com/watch?v=wAaSJUAKPuY&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr))
- [6.S094: Deep Learning for Self-Driving Cars - MIT](https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf)
- [CS294-129 Designing, Visualizing and Understanding Deep Neural Networks](https://bcourses.berkeley.edu/courses/1453965/pages/cs294-129-designing-visualizing-and-understanding-deep-neural-networks) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6\_40KJIxopmdJF\_CLNqG3QuDFHQUm))
- [CS230: Deep Learning - Autumn 2018 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOABXSygHTsbvUz4G\_YQhOb)
- [CS230: Deep Learning - Autumn 2025 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X)
- [STAT-157 Deep Learning 2019 - UC Berkeley](https://www.youtube.com/playlist?list=PLZSO\_6-bSqHQHBCoGaObUljoXAyyqhpFW)
- [Deep Learning, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=DeepLearning)
- [MOOC - Neural Networks for Machine Learning, Geoffrey Hinton 2016 - Coursera](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk\_SNhz9)
- [Stat 946 Deep Learning - University of Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
- [EECS 298 Theory of Computational Neural Networks and Machine Learning (Fall 2020) - UC Irvine](https://grandcentral.eee.uci.edu/syllabus/download/F-2020/17815) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKBAh1HWXPOI3Rw59WdRlJXu))
- [ECE 1508 Applied Deep Learning - University of Toronto](https://www.bereyhi.com/deep-learning) ([Fall 2025](https://bereyhi-courses.github.io/dl-utoronto/)) ([Winter 2025](https://www.youtube.com/playlist?list=PLcFgNUo9s\_AgsMOnniTMIWmLpjj9vZ1Wm)) ([Fall 2024](https://www.youtube.com/playlist?list=PLcFgNUo9s\_Ajz1l4rBDIApwdcEKgzoMko))
- [ECE 1508 Reinforcement Learning - Fall 2025 - University of Toronto](https://bereyhi-courses.github.io/rl-utoronto/lectures/)
- [Neural networks class - Université de Sherbrooke](http://info.usherbrooke.ca/hlarochelle/neural\_networks/content.html) ([YouTube](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))
- [DLCV - Deep Learning for Computer Vision - UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBavDoZpFcX-bff5WgQqSLzR)
- [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC\_vd)
- [Neural Networks and Applications - IIT Kharagpur](https://nptel.ac.in/courses/117105084/)
- [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
- [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
- [Geometric Deep Learning - AMMI](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)
- [Math for Deep Learning — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm)
- [Applied Deep Learning 2025 - TU Wien](https://www.youtube.com/playlist?list=PLNsFwZQ\_pkE8H1o874cZbiwnNRJ6hCDJI) ([2024](https://www.youtube.com/playlist?list=PLNsFwZQ\_pkE8tSQuU3jN71fmmGFFCi7Dc)) ([2023](https://www.youtube.com/playlist?list=PLNsFwZQ\_pkE87JO3T\_mvedVTlw0sjUzKh)) ([2022](https://www.youtube.com/playlist?list=PLNsFwZQ\_pkE\_QaTwYxoTmmRJHtMXyIAU6)) ([2021](https://www.youtube.com/playlist?list=PLNsFwZQ\_pkE\_wsWK3t6NEeYtwOorGfowm)) ([2020](https://www.youtube.com/playlist?list=PLNsFwZQ\_pkE8xNYTEyorbaWPN7nvbWyk1))
- [Neural Networks: Zero to Hero - Andrej Karpathy](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)
- [CIS 522 - Deep Learning - U Penn](https://www.youtube.com/@cis522-deeplearning8/playlists)
- [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
- [Deep Learning (Fall 2020) - FAU](https://www.fau.tv/course/id/1600) ([Spring 2020](https://www.fau.tv/course/id/925)) ([Fall 2019](https://www.fau.tv/course/id/849)) ([Spring 2019](https://www.fau.tv/course/id/758)) ([Fall 2018](https://www.fau.tv/course/id/701)) ([Spring 2018](https://www.fau.tv/course/id/662))
- [Deep Learning (Fall 2020) - Georgia Tech](https://www.youtube.com/playlist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7)
- [Mathematics of Deep Learning (2021) - FAU](https://www.fau.tv/course/id/878)
- [CS7015 - Deep Learning - Prof. Mitesh M. Khapra - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk\_JKGBAYT)
- [ETH Zürich | Deep Learning in Scientific Computing 2023](https://www.youtube.com/playlist?list=PLJkYEExhe7rYY5HjpIJbgo-tDZ3bIAqAm)
- [Deep Learning François Fleuret](https://fleuret.org/dlc/)
- [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd\_ZeAcy4)
- [UC Berkeley CS 182 / 282a Deep Learning spring 2023, by Anant Sahai](https://www.youtube.com/playlist?list=PLIygTcviGPKAaj\_UAJcazYN4964xZ7Lt1)
- [CMSC 828W Foundations of Deep Learning (Fall 2020) - UMD](https://www.cs.umd.edu/class/fall2020/cmsc828W/) ([YouTube](https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK\_uOyDv\_Jf))
- [TUM IN2346 Introduction to Deep Learning Fall 2024, by Daniel Cremers](https://cvg.cit.tum.de/teaching/ws2024/i2dl) ([Summer 2023](https://www.youtube.com/playlist?list=PLQ8Y4kIIbzy\_pGm2QAwF625E6nmcRu2sU))
- [UT Austin - Advances in Deep Learning](https://ut.philkr.net/advances\_in\_deeplearning/)
- [HKU - Data 8014 Principles of Deep Representation Learning Fall 2025, by Yi Ma](https://ma-lab-berkeley.github.io/deep-representation-learning-book/community.html)
- [Local Explanations for Deep Learning Models (Fall 2023)](https://www.youtube.com/playlist?list=PLbuogVdPnkCoto690B1eTReTznuSC9qYX)
- [CS 6966/5966 Interpretability of LLMs (Spring 2026) - University of Utah](https://utah-llm-interpretability.notion.site/s26)
- [Deep Graph Learning (DGL, 2025) - Prof. Islem Rekik - Imperial College London](https://www.youtube.com/playlist?list=PLug43ldmRSo14Y\_vt7S6vanPGh-JpHR7T)
- [Intuitive Deep Learning Series](https://www.youtube.com/playlist?list=PLug43ldmRSo1gtn-CPLqVXRd7n0jhC276)
- [Toronto ECE 1508 Applied Deep Learning winter 2026, by Ali Bereyhi](https://bereyhi-courses.github.io/dl-utoronto/lectures/)[Youtube](https://youtube.com/playlist?list=PLcFgNUo9s\_AjLubVnhoQX3nOz4hJsfnd7)
- [UC Berkeley CS 182 / 282a Deep Learning fall 2025, by Gireeja Ranade & Anant Sahai](https://berkeley-cs182.github.io/fa25/)[Youtube](https://youtube.com/playlist?list=PLIygTcviGPKCJO2wgN4rjqRFozoPjvWQs)
- [SNU M2177.43 Introduction to Deep Learning spring 2026, by Hyun Oh Song](https://www.youtube.com/@hyunohsong1952/videos)
- #### \*\*강화학습\*\*
- [CS234: Reinforcement Learning - Spring 2024 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX) ([Winter 2019](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u))
- [CSE 542: Reinforcement Learning - Spring 2024 - University of Washington](https://courses.cs.washington.edu/courses/cse542/24sp/schedule/)
- [CSE 579: Reinforcement Learning - Autumn 2024 - University of Washington](https://courses.cs.washington.edu/courses/cse579/24au/schedule/)
- [CSC 2547: Introduction to Reinforcement Learning - Spring 2021 - University of Toronto](https://amfarahmand.github.io/IntroRL/) ([YouTube](https://www.youtube.com/playlist?list=PLCveiXxL2xNbiDq51a8iJwPRq2aO0ykrq))
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
- [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M\_FwzHFAyf4LSkz\_IjMyjD9) ([TA - Manav Mishra](https://www.youtube.com/playlist?list=PLpKrAXMumEsjAR1Ybb0qbTKGYd9RY0vxa), [TA - Prabhleen Kukreja](https://www.youtube.com/playlist?list=PLTt\_oMmEiDJhBPjy\_aedcoeIY-IsaDBOn), [TA - Sandarbh Yadav ](https://www.youtube.com/playlist?list=PLoo\_WPzXEM1ShdfOxv-adi3JdhRX4rA7F), [TA - Avik Kar](https://www.youtube.com/playlist?list=PLz2x4RAIbeXkTJFEipkD\_ds3z0qx8\_5D7))
- [Special topics in ML (Reinforcement Learning) IIT madras](https://www.youtube.com/playlist?list=PLZ2ps\_\_7DhBbDiVplM2I9q2XNso1Qfj62)
- [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
- [CS 224R - Deep Reinforcement Learning- Stanford](https://cs224r.stanford.edu/) ([YouTube](https://www.youtube.com/playlist?list=PLoROMvodv4rPwxE0ONYRa\_itZFdaKCylL))
- [CS 285 - Deep Reinforcement Learning- UC Berkeley](https://www.youtube.com/playlist?list=PLkFD6\_40KJIwhWJpGazJ9VSj9CFMkb79A)
- [CS 294 112 - Reinforcement Learning](https://www.youtube.com/playlist?list=PLkFD6\_40KJIxJMR-j5A1mkxK26gh\_qg37)
- [NUS CS 6101 - Deep Reinforcement Learning](https://www.youtube.com/playlist?list=PLllwxvcS7ca5wOmRLKm6ri-OaC0INYehv)
- [ECE 8851: Reinforcement Learning](https://www.youtube.com/playlist?list=PL\_Nk3YvgORJs1tCLQnlnSRsOJArj\_cP9u)
- [CS294-112, Deep Reinforcement Learning Sp17](http://rll.berkeley.edu/deeprlcourse/) ([YouTube](https://www.youtube.com/playlist?list=PLkFD6\_40KJIwTmSbCv9OVJB3YaO4sFwkX))
- [UCL Course 2015 on Reinforcement Learning by David Silver from DeepMind](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html) ([YouTube](https://www.youtube.com/watch?v=2pWv7GOvuf0))
- [DeepMind x UCL Reinforcement Learning Lecture Series 2021 - Hado van Hasselt, Diana Borsa, Matteo Hessel](https://www.youtube.com/playlist?list=PLqYmG7hTraZDVH599EItlEWsUOsJbAodm)
- [Deep RL Bootcamp - Berkeley Aug 2017](https://sites.google.com/view/deep-rl-bootcamp/lectures)
- [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M\_FwzHFAyf4LSkz\_IjMyjD9)
- [Reinforcement Learning Course at KTH (FDD3359 - 2022)](https://www.youtube.com/playlist?list=PL21JFJEtbq0JLNo53UIkbIwkc2njCVUUR)
- [Reinforcement Learning Course at ASU, Spring 2022](https://www.youtube.com/playlist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj)
- [CS 4789/5789: Introduction to Reinforcement Learning - Cornell](https://www.youtube.com/playlist?list=PLQVNhPb8ajtCjWSKUvKU8cX5lueYP9s3X)
- [S20/IE613 - Online (Machine) Learning/ Bandit Algorithms](https://www.youtube.com/playlist?list=PLDREIwGwrHBdiBm1q0cVJLZn4Cn6Hig2s)
- [Reinforcement Learning - Fall 2021 chandar-lab](https://www.youtube.com/playlist?list=PLImtCgowF\_ES\_JdF\_UcM60EXTcGZg67Ua)
- [CMU 10 703 Deep Reinforcement Learning & Control fall 2022, by Katerina Fragkiadaki](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22ee5794a2-cb54-4edc-836b-aefc01023243%22)
- [ECE524 Foundations of Reinforcement Learning at Princeton University, Spring 2024](https://www.youtube.com/playlist?list=PLYXvCE1En13epbogBmgafC\_Yyyk9oQogl)
- [REINFORCEMENT LEARNING AND OPTIMAL CONTROL - Dimitri P. Bertsekas, ASU](https://web.mit.edu/dimitrib/www/RLbook.html)
- [CMU 16 745 Optimal Control and Reinforcement Learning spring by Zac Manchester](https://www.youtube.com/@roboticexplorationlab3724/playlists)
- [CMU 16 899 Adaptive Control and Reinforcement Learning fall 2020, by Changliu Liu](https://www.youtube.com/playlist?list=PLZL5VXraKdz-0zByoPNzNTqSirR4veU8z)
- [Jadavpur University, 2025: Introduction to Reinforcement Learning](https://www.youtube.com/playlist?list=PLcNLn\_ApooUzGJW60RcD2HRrL7sm0HG-w)
- [EE675 (2024) Introduction to Reinforcement Learning Course | IIT Kanpur](https://www.youtube.com/playlist?list=PLZAmMLcSnKRICBNyjraAhQdtdJFFgyRL5)
- [Reinforcement Learning Course by Frédéric Godin - Concordia University](https://www.youtube.com/playlist?list=PLFskzTP727yc5eXXm09Xst7bIk5fi7mD6)
- [CS 285: Deep RL, 2023](https://www.youtube.com/playlist?list=PL\_iWQOsE6TfVYGEGiAOMaOzzv41Jfm\_Ps)
- [Mathematical Foundations of Reinforcement Learning - WINDY Lab](https://www.youtube.com/playlist?list=PLEhdbSEZZbDaFWPX4gehhwB9vJZJ1DNm8)
- [Reinforcement Learning (HMC CS 181V)—Spring, 2020 - Neil Rhodes](https://www.youtube.com/playlist?list=PL2Yggtk\_pK69evEzfwQHm9ASOCbXPlXPS)
- [Reinforcement Learning Course: Lectures (Summer 2023) by Paderborn University](https://www.youtube.com/playlist?list=PL4GzQQuIDBGv-IFxRSgydCR7OrOM\_xKqN)
- [CS292F (Spring 2021) Statistical Foundation of Reinforcement Learning - UCSD](https://cseweb.ucsd.edu/~yuxiangw/classes/RLCourse-2021Spring/)
- [Algorithmic Foundations of Interactive Learning - CMU](https://interactive-learning-algos.github.io/)
- #### \*\*고급 머신러닝\*\*
- [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/aml2021)
- [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
- [CS 330 - Deep Multi-Task and Meta Learning - Fall 2019 - Stanford University](https://cs330.stanford.edu/) ([Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5))
- [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI)
- [ES 661 (2023): Probabilistic Machine Learning - IIT Gandhinagar](https://www.youtube.com/playlist?list=PLftoLyLEwECBEJyfRBJoSBd0UaTjEcs3I)
- [Information Retrieval in High Dimensional Data](https://www.youtube.com/playlist?list=PLaE1lKCe0jH3ePp9wCU1ygTquVOXY-UYv)
- [Trustworthy Machine Learning - Winter Semester 2023-2024, University of Tübingen](https://scalabletrustworthyai.github.io/courses/tml\_winter\_2324/)
- [Trustworthy Machine Learning - Winter Semester 2024-2025, University of Tübingen](https://scalabletrustworthyai.github.io/courses/tml\_winter\_2425/)
- [ETH Zürich Advanced Machine Learning fall 2019, by Joachim M. Buhmann](https://video.ethz.ch/lectures/d-infk/2019/autumn/252-0535-00L.html)
- [CS 159 Advanced Topics in Machine Learning, Spring 2021 - Caltech](https://1five9.github.io/)
- [CS 229br Advanced Topics in the theory of machine learning, Spring 2021 - Harvard](https://boazbk.github.io/mltheoryseminar/cs229br.html)
- #### \*\*자연어 처리\*\*
- [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http://web.stanford.edu/class/cs224n/) ([Lectures - Winter 2019](https://youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures - Winter 2021](https://youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ)) ([Lectures - Spring 2024](https://www.youtube.com/playlist?list=PLoROMvodv4rOaMFbaqxPDoLWjDaRAdP9D))
- [CS 224N - Natural Language Processing, Stanford University](https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html) ([Lecture videos](https://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab))
- [Stanford XCS224U: Natural Language Understanding I Spring 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp)
- [CS388: Natural Language Processing - UT Austin](https://www.cs.utexas.edu/~gdurrett/courses/online-course/materials.html)
- [CS 124 - From Languages to Information - Stanford University](https://www.youtube.com/channel/UC\_48v322owNVtORXuMeRmpA/playlists?view=50&sort=dd&shelf\_id=2)
- [CS 6340/5340 - Natural Language Processing - University of Utah - Spring 2024](https://utah-intro-nlp.github.io/) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43))
- [CSE 447/517 - Natural Language Processing - University of Washington - Winter 2024](https://safe-fernleaf-26d.notion.site/Winter-24-CSE-447-517-Natural-Language-Processing-4142333a001143d2be5ecff1a535c4ab)
- [Neural Networks: Zero to Hero - Andrej Karpathy](https://karpathy.ai/zero-to-hero.html)
- [fast.ai Code-First Intro to Natural Language Processing](https://www.youtube.com/playlist?list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9) ([Github](https://github.com/fastai/course-nlp))
- [MOOC - Natural Language Processing - Coursera, University of Michigan](https://www.youtube.com/playlist?list=PLLssT5z\_DsK8BdawOVCCaTCO99Ya58ryR)
- [Natural Language Processing at UT Austin (Greg Durrett)](https://www.youtube.com/playlist?list=PLofp2YXfp7Tbk88uH4jejfXPd2OpWuSLq)
- [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
- [Deep Learning for Natural Language Processing, 2017 - Oxford University](https://github.com/oxford-cs-deepnlp-2017/lectures)
- [Natural Language Processing - IIT Bombay](https://nptel.ac.in/courses/106101007/)
- [CMU Advanced NLP Fall 2024](https://phontron.com/class/anlp-fall2024/schedule/) ([Lectures - Fall 2024](https://www.youtube.com/playlist?list=PL8PYTP1V4I8D4BeyjwWczukWq9d8PNyZp)) ([Lectures - Fall 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AYSXn\_GKVgwXVluCT9chJ6))
- [CMU Neural Nets for NLP 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)
- [Natural Language Processing - Michael Collins - Columbia University](https://www.youtube.com/playlist?list=PLA212ij5XG8OTDRl8IWFiJgHR9Ve2k9pv)
- [CMU CS11-711 - Advanced Natural Language Processing](https://cmu-l3.github.io/anlp-spring2025/) ([Lectures - Spring 2025](https://www.youtube.com/playlist?list=PLqC25OT8ZpD3WxQ0FwWMGPS\_BcWdcKyZy))
- [CMU CS11-737 - Multilingual Natural Language Processing](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)
- [UMass CS685: Advanced Natural Language Processing (Spring 2022)](https://www.youtube.com/playlist?list=PLWnsVgP6CzadI4-FT2Po4wsEK7MHCIQ-d)
- [Natural Language Processing (CMSC 470)](https://www.youtube.com/playlist?list=PLwrUPjGidcJ4UkSoi7\_rmn-1kcedLqgdL)
- [Stanford CS25 - Transformers United 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR\_Z27CM)
- [Natural Language Processing (IN2361) - TUM](https://live.rbg.tum.de/?year=2019&term=W&slug=nlp&view=3)
- [Natural Language Processing (Spring 2024) - University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43)
- [Multilingual NLP 2020 - CMU](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)
- [Speech Technology - IIT Madras](https://www.youtube.com/playlist?list=PLZ2ps\_\_7DhBaI\_g3\_V-CFrgFIf-0Yksiv)
- [Deep Learning for NLP (KAIST AI605 Fall 2021)](https://www.youtube.com/playlist?list=PLN9tAT2r9TDy9tPOfgYm28Wl3D4vYm0Zs)
- #### \*\*생성형 AI 및 LLM\*\*
- [Stanford CS236: Deep Generative Models I 2023 I Stefano Ermon](https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8)
- [CS 6785 - Deep Generative Models - Cornell Tech, Spring 2023)](https://www.youtube.com/playlist?list=PL2UML\_KCiC0UPzjW9BjO-IW6dqliu9O4B)
- [ECE 498 / 598 - Deep Generative Models - UIUC, Fall 2025)](https://rrc-uiuc.notion.site/gen-models-fa25)
- [Mathematical Foundations of Generative AI - IIT Madras](https://www.youtube.com/playlist?list=PLZ2ps\_\_7DhBa5xCmncgH7kPqLqMBq7xlu)
- [Deep Generative Models - IISC](https://www.youtube.com/playlist?list=PLL1s8qiaGy0LwIajdxKZr\_FRL7KZeQK9r)
- [A Course on Generative AI - Diffusion Models - Israel Institute of Technology](https://www.youtube.com/playlist?list=PL0H3pMD88m8XPBlWoWGyal45MtnwKLSkQ)
- [MIT 6.S184 Flow Matching and Diffusion Models, 2025](https://diffusion.csail.mit.edu)
- [Course on Diffusion Models for Generative AI - UT Austin](https://www.youtube.com/playlist?list=PL8lIiiIWuabLxhJreBRZwNW-d02dJwbMb)
- [CS 492(C) Diffusion and Flow Models - Fall 2025 - KAIST](https://diffusion.kaist.ac.kr/) ([YouTube](https://www.youtube.com/playlist?list=PLyi5FHzX7hBzC698EjqgxQJG7pNPQyYyc))
- [Stanford CS336 Language Modeling from Scratch I 2025 - Stanford](https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU\_MT\_) ([2026](https://www.youtube.com/playlist?list=PLoROMvodv4rMqXOcazWaTUHhq-yembLCV))
- [Stanford CME295 Transformers & LLMs - Autumn 2025 - Stanford](https://www.youtube.com/playlist?list=PLoROMvodv4rObv1FMizXqumgVVdzX4\_05)
- [Stanford CME296: Diffusion & Large Vision Models](https://www.youtube.com/playlist?list=PLoROMvodv4rNdy8rt2rZ4T2xM0OjADnfu)
- [Introduction to large language models - IIT Madras](https://www.youtube.com/playlist?list=PLZ2ps\_\_7DhBbaMNZoyW2Hizl8DG6ikkjo)
- [Build a Large Language Model (From Scratch) by Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd\_2IIEsoJrWACkIxLRdfMlw11)
- [Reinforcement Learning of Large Language Models - UCLA](https://www.youtube.com/playlist?list=PLir0BWtR5vRp5dqaouyMU-oTSzaU5LK9r)
- [WING NUS CS6101 Large Language Models (T2310)](https://www.youtube.com/playlist?list=PLzIZxnJJT7ORSBnYrXJMYBVnYeLryJtl7)
- [CS 839: Foundation Models Fall 2025 - UW Madison](https://pages.cs.wisc.edu/~fredsala/cs839/fall2025/schedule.html) ([YouTube playlists](https://www.youtube.com/playlist?list=PLOq\_oVZZBJosRA5\_S823YxCcKcoyVRto-))
- [CS 886: Recent Advances on Foundation Models Winter 2024 - University of Waterloo](https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/)
- [UC Berkeley CS 194/294-196 Agentic AI Fall 2025](https://rdi.berkeley.edu/agentic-ai/f25) ([YouTube, 2025](https://www.youtube.com/playlist?list=PLS01nW3RtgoqGkm4UeqNeZLccW-OGc1fJ)) ([Notes, 2024](https://rdi.berkeley.edu/llm-agents/f24)) ([YouTube, 2024](https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc))
- [UC Berkeley CS 194/294-267 Understanding Large Language Models Foundations and Safety spring 2024, by Dawn Song & Dan Hendrycks](https://www.youtube.com/playlist?list=PLJ66BAXN6D8H\_gRQJGjmbnS5qCWoxJNfe)
- [UC Berkeley CS 194/294-280 Advanced Large Language Model Agents Spring 2025](https://rdi.berkeley.edu/adv-llm-agents/sp25) ([YouTube](https://www.youtube.com/playlist?list=PLS01nW3RtgorL3AW8REU9nGkzhvtn6Egn))
- [Introduction to Large Language Models (LLMs), IIT Delhi](https://www.youtube.com/playlist?list=PLqGkIjcOyrGnjyBHl4GE2S9kX47X96FH-)
- [CMU 10423 S24: Generative AI](https://www.cs.cmu.edu/~mgormley/courses/10423-s24/schedule.html) [Videos](https://archive.org/details/p04\_20260318/)
- [CMU 10799 S26: Diffusion & Flow Matching](https://www.youtube.com/playlist?list=PL9aTsZCk17O6ebBauPy7Mn8cQqXgt0Xtb)
- [6.S183: A Practical Introduction to Diffusion Models - MIT](https://www.practical-diffusion.org/lectures/) ([YouTube](https://www.youtube.com/@MIT-6.S183), [2025 lectures](https://www.youtube.com/playlist?list=PL\_1TbuIu65A\_G908tHHvTnyQsueR17rMh))
- [The Principles of Diffusion Models - Vizuara](https://www.youtube.com/playlist?list=PLPTV0NXA\_ZShSUHKLhdHAdAw5oM9vM1Yf)
- [Building LLMs from scratch - Vizuara](https://www.youtube.com/playlist?list=PLPTV0NXA\_ZSgsLAr8YCgCwhPIJNNtexWu)
- [Build DeepSeek from Scratch - Vizuara](https://www.youtube.com/playlist?list=PLPTV0NXA\_ZSiOpKKlHCyOq9lnp-dLvlms)
- [Reasoning LLMs from Scratch - Vizuara](https://www.youtube.com/playlist?list=PLPTV0NXA\_ZSijcbUrRZHm6BrdinLuelPs)
- [KAIST CS492(C): Diffusion and Flow Models (Fall 2025)](https://www.youtube.com/playlist?list=PLyi5FHzX7hBzC698EjqgxQJG7pNPQyYyc) ([2024](https://www.youtube.com/playlist?list=PLyi5FHzX7hBxtkKUZLRdiq5C01QimCno2))
- [Mathematics of Generative Modelling (Spring 2024) - IIIT Hyderabad](https://www.youtube.com/playlist?list=PLSPVGYqSR1PSGhb3HVQM\_PIW9rur3qVwQ) ([2023](https://www.youtube.com/playlist?list=PLSPVGYqSR1PTDHtx2mN2\_D9SEj25NJrMU))
- [NYCU Deep Generative Models 2025](https://www.youtube.com/playlist?list=PLl6jkZVaP8zrR-UikQB-AXJyqpvGxMLGT)
- [COMPSCI 690L | Deep Generative Models | 2024 | Sajjad Amini](https://www.youtube.com/playlist?list=PL\_lIXwwDFn7gSTFiTi\_rPzSzzAojAuuxA)
- [ECE1508: Deep Generative Models - Summer 2025 - UofT](https://www.youtube.com/playlist?list=PLcFgNUo9s\_AgUro3pIv1BoGOzNIVh4mpP)
- [6.S980 Machine Learning for Inverse Graphics - Fall 2022 - MIT](https://scenerepresentations.org/courses/2023/fall/inverse-graphics/)
- [6.S087 - Foundation Models and Generative AI - MIT](https://www.futureofai.mit.edu/)
- #### \*\*컴퓨터 비전\*\*
- [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
- [The Ancient Secrets of Computer Vision, University of Washington - Joseph Redmon](https://pjreddie.com/courses/computer-vision/) ([YouTube](https://www.youtube.com/playlist?list=PLjMXczUzEYcHvw5YYSU92WrY8IwhTuq7p))
- [CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley)](https://www.youtube.com/playlist?list=PLzWRmD0Vi2KVsrCqA4VnztE4t71KnTnP5)
- [Machine Learning for Robotics and Computer Vision, WS 2013/2014 - TU München](https://vision.in.tum.de/teaching/ws2013/ml\_ws13) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV\_4f-EIiongKlS9OKrBEp8QR47Wl))
- [COGSCI 1 - Intro to Cognitive Science Summer 2022 - UC Berkeley](https://www.youtube.com/playlist?list=PLaMjLYzDGxvz1oT5gpFiY6rJZnlJ-1Xu-)
- [Informatics 1 - Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/inf1cs.htm)
- [Informatics 2A - Processing Formal and Natural Languages 2016-17 - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf2a/schedule.html)
- [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https://nptel.ac.in/courses/108/105/108105103/)
- [Extreme Classification ](https://www.youtube.com/playlist?list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH)
- [EECS 498/598 - Deep Learning for Computer Vision - University of Michigan - Fall 2019](https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2019/) ([Youtube](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r))
- [Computer Vision - FAU Spring 2021](https://www.fau.tv/course/id/2306) ([Spring 2018](https://www.fau.tv/course/id/734))
- [CAP5415 Computer Vision - UCF Fall 2023](https://www.youtube.com/playlist?list=PLd3hlSJsX\_InWyCQtwqQ7y6KnwhxNCgRf)
- [CAP6412 Advanced Computer Vision - UCF Spring 2024](https://www.crcv.ucf.edu/courses/cap6412-spring-2024/schedule/) ([Youtube](https://www.youtube.com/playlist?list=PLd3hlSJsX\_IlSr0ua4v8WQezazAMXEJE4))
- [CU Boulder CSCI 5722 Computer Vision - CU Boulder Spring 2025](https://www.byhand.ai/p/computer-vision-lectures) ([Youtube](https://www.youtube.com/playlist?list=PL0cq-CiC5QhutrhhsLLiybg2OehFOftI9))
- [Advanced Deep Learning for Computer vision (ADL4CV) (IN2364) - TU Munich](https://dvl.in.tum.de/teaching/adl4cv-ss20/) ([Youtube](https://www.youtube.com/playlist?list=PLog3nOPCjKBnjhuHMIXu4ISE4Z4f2jm39))
- [Advanced Deep Learning for Physics (ADL4P) - TU Munich](https://tum-pbs.github.io/ADL4P/)
- [Computer Vision III: Detection, Segmentation and Tracking (CV3DST) (IN2375) - TU Munich](https://www.youtube.com/playlist?list=PLog3nOPCjKBkamdw8F6Hw\_4YbRiDRb2rb)
- [Lecture: Computer Vision, University of Tübingen - Andreas Geiger](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/) ([YouTube](https://www.youtube.com/playlist?list=PL05umP7R6ij35L2MHGzis8AEHz7mg381\_))
- #### \*\*시계열 분석\*\*
- [02417 Time Series Analysis](https://www.youtube.com/playlist?list=PLtiTxpFJ4k6TZ0g496fVcQpt\_-XJRNkbi)
- [Applied Time Series Analysis](https://www.youtube.com/playlist?list=PLl0FT6O\_WWDBm-4W-eoK34omYmEMseQDX)
- #### \*\*최적화\*\*
- [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-pmLzCoMu\_ANU6atEFyyJl)
- [Rochester DSCC 435 Optimization for Machine Learning fall 2023, by Jiaming Liang](https://www.youtube.com/playlist?list=PLuJY91x7h5orCtyh6mChurVQ2ZZef9qPF)
- [Princeton ELE539/COS512 Optimization for Machine Learning spring 2021, by Chi Jin](https://sites.google.com/view/cjin/teaching/ece539cos512-2021-ver)
- [UT Dallas CS 7301 Advanced Topics in Optimization for Machine Learning spring 2021, by Rishabh Iyer](https://github.com/rishabhk108/AdvancedOptML) ([YouTube](https://www.youtube.com/playlist?list=PLGod0\_zT9w92\_evaYrf3-rE67AmgPJoUU))
- [Convex Analysis, Summer 2021 - TU Braunschweig](https://www.tu-braunschweig.de/index.php?eID=dumpFile&t=f&f=128341&token=3c40ee32c6c029df85f7e552522f4a87470e3401) ([YouTube](https://www.youtube.com/playlist?list=PLPomPKAI5ZlJBThiwc3bya7qngzw9-0QD))
- [EE364a: Convex Optimization I - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMJqxxviPa4AmDClvcbHi6h)
- [EE364b: Convex Optimization II - Stanford University](https://see.stanford.edu/Course/EE364B) ([YouTube](https://www.youtube.com/playlist?list=PLGrZHfnLv54ksX-0TMKYPCZDx9NZyYh9c))
- [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
- [10-725 Convex Optimization: Fall 2016 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt/)
- [10-725 Optimization Fall 2012 - CMU](http://www.cs.cmu.edu/~ggordon/10725-F12/schedule.html)
- [10-801 Advanced Optimization and Randomized Methods - CMU](http://www.cs.cmu.edu/~suvrit/teach/aopt.html) ([YouTube](https://www.youtube.com/playlist?list=PLjTcdlvIS6cjdA8WVXNIk56X\_SjICxt0d))
- [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
- [MIT 6.S098 Applied Convex Optimization IAP 2022, by Alexandre Amice, Benoit Legat](https://alexandreamice.github.io/teaching/convex\_optimization/) ([YouTube](https://www.youtube.com/playlist?list=PL5SG6ajT9NZKxdvM1jQOLXmeKO7MfyLxR))
- [UVic Math 428 / 529 Discrete Optimization fall 2025, by Jonathan A. Noel](https://extremalcombinatorics.com/optimization/notes/sec\_optimizationIntro.html) ([YouTube](https://www.youtube.com/playlist?list=PLtxJg53s2o0MAC2sfZDuhKYAHgj\_NrGVv))
- [University of Twente Discrete Optimization, by Marc Uetz](https://marcuetz.personalweb.utwente.nl/do/) ([Fall 2020](https://www.youtube.com/playlist?list=PLIygTcviGPKBUY9e1MCruRr5-I24LNm4g))
- [UC Davis MAT 168 Optimization winter 2024, by Matthias Köppe](https://video.ucdavis.edu/channel/MAT+168+Optimization+%28Matthias+K%C3%B6ppe%3B+Winter+2024%29/329241352)
- [Purdue University CHE 597 Computational Optimization spring 2025, by Can Li](https://canli1.github.io/courses)
- [Purdue University ECE 695 Optimization for Deep Learning (OPT4DL), by Abolfazl Hashemi](https://abolfazlh.github.io/teaching/OPT4DL\_Slides.pdf) [YouTube - Fa 25](https://www.youtube.com/@opt4xl/playlists)
- [UCSD CS292F Convex Optimization Spring 2020, by Yu-Xiang Wang](https://cseweb.ucsd.edu/~yuxiangw/classes/CS292F-2020Spring/) ([Youtube](https://www.youtube.com/playlist?list=PLTN4aNO9NiB5VxYILKPBXoy9g1tUqmnBx))
- [UIUC ECE 490 Introduction to Optimization fall 2020, by Venugopal V. Veeravalli](https://courses.grainger.illinois.edu/ece490/fa2020/) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKC5wSXtE6s2qdSYutRH1AUU))
- [University of Wisconsin-Madison CS/ECE/ISyE 524 Introduction to Optimization spring 2017-18, by Laurent Lessard](https://laurentlessard.com/teaching/524-intro-to-optimization/)
- [University of Wisconsin-Madison ISyE/Math/CS/Stat 525 Linear Optimization fall 2021, by Alberto Del Pia](https://www.youtube.com/playlist?list=PLeO\_PhASIA0Ot69TqANAnNxoykHGOQp2Y)
- [University of Wisconsin-Madison ISyE/Math/CS 728 Integer Optimization (second part of the course) spring 2020](https://www.youtube.com/playlist?list=PLeO\_PhASIA0NlDNF9y-SsgVEYcvAMj2CY)
- [Columbia IEOR E4007 Optimization Models and Methods 2005, by Garud Iyengar](https://www.youtube.com/playlist?list=PLIygTcviGPKCNQ2xHRwrLOxkEWv9OfGiF)
- [UC Berkeley EECS 127 / 227A Optimization Models in Engineering](https://eecs127.github.io/) ([Spring 2024 lectures](https://www.youtube.com/playlist?list=PLIygTcviGPKAgyZlPB5QU5Size4whyrf3))
- [Modern Optimization and theory for Deep Learning](https://www.youtube.com/@opt4xl/playlists)
- [Manifold Learning, Optimization and Information Geometry - Politecnico Milan - PhD level](https://www.youtube.com/playlist?list=PLvVaDdaHGtpesn2DHUo6ete-1pPhT1xzj)
- [Robust Optimization and Essentials of Numerical Nonsmooth Optimization - EUROPT Summer School 2021](https://media.ed.ac.uk/playlist/dedicated/51612401/1\_h2lhtoyd/1\_2167g4ma)
- #### \*\*비지도 학습\*\*
- [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home)
- [Deep Unsupervised Learning -- Berkeley Spring 2020](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)
- [CS294-158 Deep Unsupervised Learning SP19](https://www.youtube.com/channel/UCf4SX8kAZM\_oGcZjMREsU9w/videos)
- [UC San Diego COGS 118A Supervised Machine Learning fall 2020, by Jason Fleischer](https://www.youtube.com/playlist?list=PLaaNbhBDEsoF\_ad5N2mlOsvB-RwSTYUjQ)
- [UC San Diego COGS 118B Unsupervised Machine Learning winter 2024, by Jason Fleischer](https://www.youtube.com/playlist?list=PLaaNbhBDEsoEU9RRbwCqJWFAZH2LjNwBN)
- [UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison](https://www.youtube.com/playlist?list=PLIygTcviGPKB133Vh7zxsxFoblyfS4P5Y)
- [Johns Hopkins Unsupervised Learning spring 2017, by Rene Vidal](https://www.youtube.com/playlist?list=PLaBAmmD3yH4Nta9Y6g9hOV4dcnpTzeW4q)
- [Unsupervised Learning (STAT 841), Winter 2017](https://www.youtube.com/playlist?list=PLehuLRPyt1HzQoXEhtNuYTmd0aNQvtyAK)
- #### \*\*기타 머신러닝 주제\*\*
- [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)
- [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)
- [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://blogs.ischool.berkeley.edu/i290-abdt-s12/) ([YouTube](https://www.youtube.com/playlist?list=PLE8C1256A28C1487F))
- [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
- [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr\_dLbrU8VG73O)
- [EE531 - Statistical Learning Theory, Spring 2026 - KAIST](https://www.youtube.com/playlist?list=PL7ToDS7cyORV5XtQ\_Kkj07yp\_3BnNouWK)
- [Statistical Learning Theory, Spring 2019 - ETH Zürich](https://video.ethz.ch/lectures/d-infk/2019/spring/252-0526-00L.html)
- [Course on the Statistical Learning Theory, University of São Paulo, ICMC](https://www.youtube.com/playlist?list=PLKWX1jIoUZaVpVhMfevAE7iYNcDHPEJI\_)
- [Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLacBNHqv7n9gp9cBMrA6oDbzz\_8JqhSKo)
- [Regularization Methods for Machine Learning 2016](http://academictorrents.com/details/493251615310f9b6ae1f483126292378137074cd) ([YouTube](https://www.youtube.com/playlist?list=PLbF0BXX\_6CPJ20Gf\_KbLFnPWjFTvvRwCO))
- [Statistical Inference in Big Data - University of Toronto](http://fields2015bigdata2inference.weebly.com/materials.html)
- [Reinforcement Learning - IIT Madras](https://nptel.ac.in/courses/106106143/)
- [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw\_z)
- [Foundations of Machine Learning - Blmmoberg Edu](https://bloomberg.github.io/foml/#home)
- [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
- [Statistical Foundation of Reinforcement Learning - UCSD, by Yu-Xiang Wang, Spring 2021](https://cseweb.ucsd.edu/~yuxiangw/classes/RLCourse-2021Spring/) ([Youtube](https://www.youtube.com/playlist?list=PLTN4aNO9NiB5X8HkOBTkIfZ8VFSLH1W8W))
- [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)
- [Big Data Systems (WT 2019/20) - Prof. Dr. Tilmann Rabl - HPI](https://www.tele-task.de/series/1286/)
- [Distributed Data Analytics (WT 2017/18) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1179/)
- [Introduction to Data-Centric AI - MIT](https://dcai.csail.mit.edu/)
- [Parallel Computing and Scientific Machine Learning](https://www.youtube.com/playlist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)
- [Machine Learning System Design - System Design Fight Club](https://www.youtube.com/playlist?list=PLlvnxKilk3aKx0oFua-HTtFf-d\_inQ8Qn)
- [CS 329S - Machine Learning Systems Design, Winter 2022 - Chip Huyen, Stanford University](https://stanford-cs329s.github.io/) ([Syllabus & lecture videos](https://stanford-cs329s.github.io/syllabus.html))
- [UT Austin ECE 381V Bandits and Online Learning fall 2021, by Sanjay Shakkottai](https://docs.google.com/document/d/1r6jXNd1DD9o8v4q4XqxShRXWYdhtLMjEXWDzuv0T6LU/edit)
- [UCSD MATH 273B Information Geometry and its Applications winter 2022, by Melvin Leok](https://www.youtube.com/playlist?list=PLHZhjPByiV3L94AeJ9FcK1yrnRDOt3Vit)
- [Cornell ECE 5545 Machine Learning Hardware and Systems Spring 2022, by Mohamed Abdelfattah](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu\_Oy7J0ery6)
- [High Dimensional Analysis: Random Matrices and Machine Learning by Roland Speicher](https://rolandspeicher.com/lectures/course-on-high-dimensional-analysis-random-matrices-and-machine-learning-summer-term-2023/)([Youtube](https://www.youtube.com/playlist?list=PLY11JnnnTUCabY4nc0hKptrd5qEWtLoo2))
- [ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming](https://www.youtube.com/playlist?list=PLcByDTr7vRTYJ2s6DL-3bzjGwtQif33y3)
- [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https://people.ece.uw.edu/bilmes/classes/ee512/ee512\_fall\_2014/)
- [University of Wisconsin-Madison CS/ECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley](https://mediaspace.wisc.edu/channel/CS\_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913)
- [University of Maryland CMSC828U Algorithms in Machine Learning: Guarantees and Analyses fall 2020, by Furong Huang](https://www.cs.umd.edu/class/fall2020/cmsc828u//schedule/) ([YouTube playlist](https://www.youtube.com/playlist?list=PLM0SC1uXFSPo5TO\_UN7fia1luj73yuHEC))
- [Statistical Physics of Machine Learning](https://www.youtube.com/playlist?list=PL04QVxpjcnjgzMr9ehyZUSkwu0Wr0cF\_N)
- [11-755 - Machine Learning for Signal Processing, CMU](https://cmu-mlsp.github.io/mlspcourse/schedule/) ([YouTube-2024](https://www.youtube.com/playlist?list=PLWhigAi1mTpO3Rw-1D2b2AowYeIU5eRzD), [YouTube-2023](https://www.youtube.com/playlist?list=PLWhigAi1mTpPMV3hECmkEv3s8Lc8H\_VUd))
- [Machine Learning for 3D Data, Fall 2023, KAIST](https://mhsung.github.io/kaist-cs479-fall-2023/)
- [Machine Learning for 3D Data, Spring 2026, KAIST](https://3dml.kaist.ac.kr/) [Recordings](https://www.youtube.com/playlist?list=PLyi5FHzX7hBxJnkFZa-9oVZnTsQcux79M)
- [Machine Learning for Physicists, Spring 2019, FAU](https://www.fau.tv/course/id/778) ([Spring 2017](https://www.fau.tv/course/id/574))
- [CSCE 585 - Machine Learning Systems, University of South Carolina](https://pooyanjamshidi.github.io/mls/lectures/) ([YouTube-2020](https://www.youtube.com/playlist?list=PLtkQf9LiEmLFS56WTpRJ3PZwwCYyi2Cdu))
- [CS-E4740 - Federated Learning, Spring 2023, Aalto University](https://www.youtube.com/playlist?list=PLrbn2dGrLJK8c6hCQXBVFoYsPXG-g\_75c)
- [Uncertainty Modeling in AI | National University of Singapore](https://www.youtube.com/playlist?list=PLxg0CGqViygOb9Eyc8IXM27doxjp2SK0H)
- [Process Mining Course @ RWTH Aachen University (BPI 2021)](https://www.youtube.com/playlist?list=PLG\_1ZxIPXO0uRZtlYxaLgc62kKfko8QQ6)
- [CS 2881 AI Safety - Harvard - Fall 2025](https://boazbk.github.io/mltheoryseminar/) ([Youtube](https://www.youtube.com/playlist?list=PL\_b4B2IWlal3j01Rbj5ebT663E7x4bl\_W))
- [Chat GPT-X and Generative Models for EM Systems Design - KAIST](https://www.youtube.com/playlist?list=PLv7izQ1itK4XwMgUJMJtGOe5jTtnBPe5e)
- [CS492(F) Computational Learning Theory (Fall 2021, KAIST)](https://www.youtube.com/playlist?list=PLvV9DPeJV9xzOggE1dvO4gcFr6Rf2AfeN)
------------------------------
### 컴퓨터 네트워크
- [CS 144 Introduction to Computer Networking - Stanford University, Fall 2013](http://www.scs.stanford.edu/10au-cs144/) ([Lecture videos](https://www.youtube.com/playlist?list=PL6RdenZrxrw9inR-IJv-erlOKRHjymxMN))
- [Computer Networking: A Top-Down Approach](https://www.youtube.com/playlist?list=PLm556dMNleHc1MWN5BX9B2XkwkNE2Djiu)
- [Computer Communication Networks, Rensselaer Polytechnic Institute - Fall 2001](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video\_index.html) ([Videos](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video\_index.html#ccn\_video)) ([Slides](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video\_index.html#ccn\_foils))
- [Audio/Video Recordings and Podcasts of Professor Raj Jain's Lectures - Washington University in St. Louis](http://www.cse.wustl.edu/~jain/videos.htm) ([YouTube](https://www.youtube.com/user/ProfRajJain/playlists))
- [Computer Networks, Tanenbaum, Wetherall Computer Networks 5e - Video Lectures](http://media.pearsoncmg.com/ph/streaming/esm/tanenbaum5e\_videonotes/tanenbaum\_videoNotes.html)
- [CSEP 561 - PMP Network Systems, Fall 2013 - University of Washington](https://courses.cs.washington.edu/courses/csep561/13au/) ([Videos](https://courses.cs.washington.edu/courses/csep561/13au/video/))
- [CSEP 561 – Network Systems, Autumn 2008 - University of Washington](https://courses.cs.washington.edu/courses/csep561/08au/) ([Videos](https://courses.cs.washington.edu/courses/csep561/08au/lectures/))
- [ECE/CS 438 - Communication Networks, Fall 2020 - UIUC](https://courses.physics.illinois.edu/cs438/fa2020/)
- [Computer Networks - IIT Kharagpur](https://nptel.ac.in/courses/106105081/)
- [Introduction to Data Communications 2013, Steven Gordon - Thammasat University, Thailand](https://www.youtube.com/playlist?list=PLvifRcqOOwF8u4iC7hFTMVC\_WD6SEpnkx)
- [Introduction to Complex Networks - RIT](https://www.youtube.com/playlist?list=PLE9AAD550EA21F3DC)
- [Computer Networks and Internet Protocol - IIT Kharagpur](https://www.youtube.com/playlist?list=PLbRMhDVUMngf-peFloB7kyiA40EptH1up)
- [Structural Analysis and Visualization of Networks](http://www.leonidzhukov.net/hse/2015/networks/)
- [Columbia ELEN E4703 Wireless Communications spring 2006, by Angel Lozano](https://www.youtube.com/playlist?list=PLIygTcviGPKAaY0VGGjQ2whITq23AOjaR)
- [Columbia COMS W4119 Computer Networks fall 2004, by Vishal Misra](https://www.youtube.com/playlist?list=PLIygTcviGPKCh6XgTHofe6zPK\_LQ\_nVW3)
- [Columbia ELEN E4710 An Introduction to Network Engineering fall 2004, by Dan Rubenstein](https://www.cs.columbia.edu/~danr/courses/4710/Fall04/) ([Videos](https://www.youtube.com/playlist?list=PLIygTcviGPKClQelPKe2f05aReRMncyR7))
- [Data Communication - IIT Kharagpur](https://nptel.ac.in/courses/106105082/)
- [Error Correcting Codes - IISC Bangalore](https://nptel.ac.in/courses/117108044/)
- [Information Theory and Coding - IIT Bombay](https://nptel.ac.in/courses/117101053/)
- [Complex Network : Theory and Application - IIT Kharagpur](https://nptel.ac.in/courses/106105154/)
- [Advanced 3G and 4G Wireless Mobile Communications - IIT Kanpur](https://nptel.ac.in/courses/117104099/)
- [Broadband Networks: Concepts and Technology - IIT Bombay](https://nptel.ac.in/courses/117101050/)
- [Coding Theory - IIT Madras](https://nptel.ac.in/courses/117106031/)
- [Digital Communication - IIT Bombay](https://nptel.ac.in/courses/117101051/)
- [Digital Voice & Picture Communication - IIT Kharagpur](https://nptel.ac.in/courses/117105081/)
- [Wireless Ad Hoc and Sensor Networks - IIT Kharagpur](https://nptel.ac.in/courses/106105160/)
- [Internetworking with TCP/IP by Prof. Dr. Christoph Meinel - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAfY5VrkObHTckZHwPsS1VCA)
- [CS798: Mathematical Foundations of Computer Networking - University of Waterloo](https://www.youtube.com/playlist?list=PLFB088DB91845CA34)
- [CS 168 Introduction to the Internet: Architecture and Protocols, Fall 2022 - UC Berkeley](https://fa22.cs168.io/) ([YouTube - Fall 2022](https://www.youtube.com/playlist?list=PLIygTcviGPKD4RbcpiXKeyXrIImw-mGd-)) ([Spring 2025](https://sp25.cs168.io/))
- [Advanced Topics in Communication Networks, Fall 2022 - ETH Zürich](https://video.ethz.ch/lectures/d-itet/2022/autumn/227-0575-00L.html)
- [CS/ECE 438 Communication Networks [F23] - UIUC](https://rrc-uiuc.notion.site/Communication-Networks-F23-d37ef65a3d1b4b7ba3d49d929c03d546)
------------------------------
### 컴퓨터 과학을 위한 수학
- [Maths courses all topics covered - Khan Academy](https://www.khanacademy.org/math/)
- \*\*미적분학\*\*
- [18.01 Single Variable Calculus, Fall 2006 - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-01-single-variable-calculus-fall-2006/)
- [18.02 Multivariable Calculus, Fall 2007 - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-02-multivariable-calculus-fall-2007/)
- [18.03 Differential Equations, Spring 2010 - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-03-differential-equations-spring-2010/)
- [Highlights of Calculus - Gilbert Strang, MIT OCW](https://ocw.mit.edu/resources/res-18-005-highlights-of-calculus-spring-2010/)
- [MAT123 Introduction to Calculus (Fall 2015) - Stony Brook](https://www.math.stonybrook.edu/~scott/mat123.fall15/)
- [Vector Calculus for Engineers - HKUST](https://www.youtube.com/playlist?list=PLkZjai-2JcxnYmkg6fpzz4WFumGVl7MOa)
- \*\*이산수학\*\*
- [6.042J - Mathematics for Computer Science, MIT OCW](https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/video\_galleries/video-lectures/)
- [18.200 - Principles of Discrete Applied Mathematics, MIT OCW](https://ocw.mit.edu/courses/18-200-principles-of-discrete-applied-mathematics-spring-2024/video\_galleries/lecture-videos/)
- [CS 2050 Discrete Mathematics, Georgia Tech](https://faculty.cc.gatech.edu/~ladha/discrete/) [Videos - Su 2024](https://www.youtube.com/playlist?list=PLerMEx1Met7tdZvHntzJ731A6amAvs7S8)
- [UC Berkeley Computer Science 70, Discrete Mathematics and Probability Theory - Fall 2025](https://www.eecs70.org/) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKDV7TrbTokEDN0haWwiV\_xp))
- [CSE 547 Discrete Mathematics, Prof Skiena, University of Stony Brook](http://www3.cs.stonybrook.edu/~algorith/math-video/)
- [Discrete Structures (Summer 2011) - Rutgers, The State University of New Jersey](https://itunes.apple.com/us/course/discrete-structures-summer/id698728837)
- [Discrete Mathematics and Mathematical Reasoning 2015/16 - University of Edinburgh](https://www.inf.ed.ac.uk/teaching/courses/dmmr/)
- [Discrete Mathematical Structures - IIT Madras](https://nptel.ac.in/courses/106106094/)
- [Discrete Structures - Pepperdine University](https://itunes.apple.com/us/course/discrete-structures/id546468789)
- [CMU 21 228 Discrete Mathematics spring 2021, by Po-Shen Loh](https://www.youtube.com/playlist?list=PLgTkKBA6LRqYuuQ-LboerRblBoD\_q\_eUM)
- [COMP2804: Discrete Structures II](https://cglab.ca/~morin/teaching/2804/)
- \*\*확률 및 통계\*\*
- [Statistics - CrashCourse](https://www.youtube.com/playlist?list=PL8dPuuaLjXtNM\_Y-bUAhblSAdWRnmBUcr)
- [6.041 Probabilistic Systems Analysis and Applied Probability - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/)
- [Stanford CS109 Introduction to Probability for Computer Scientists I 2022 I Chris Piech](https://www.youtube.com/playlist?list=PLoROMvodv4rOpr\_A7B9SriE\_iZmkanvUg)
- [MIT RES.6-012 Introduction to Probability, Spring 2018 - MIT](https://www.youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6)
- [Statistics 110 - Probability - Harvard University](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)
- [Statistical Rethinking 2026 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdNOlqSyhe38US8mFgmqzI14)
- [STAT 2.1x: Descriptive Statistics | UC Berkeley](https://www.youtube.com/playlist?list=PL\_Ig1a5kxu56TfFnGlRlH2YpOBWGiYsQD)
- [STAT 2.2x: Probability | UC Berkeley](https://www.youtube.com/playlist?list=PL\_Ig1a5kxu57qPZnHm-ie-D7vs9g7U-Cl)
- [MOOC - Statistics: Making Sense of Data, Coursera](http://academictorrents.com/details/a0cbaf3e03e0893085b6fbdc97cb6220896dddf2)
- [MOOC - Statistics One - Coursera](https://www.youtube.com/playlist?list=PLycnP7USbo1V3jlyjAzWUB201cLxPq4NP)
- [Probability and Random Processes - IIT Kharagpur](https://nptel.ac.in/courses/117105085/)
- [MOOC - Statistical Inference - Coursera](https://www.youtube.com/playlist?list=PLgIPpm6tJZoSvrYM54BUqJJ4CWrYeGO40)
- [131B - Introduction to Probability and Statistics, UCI](https://www.youtube.com/playlist?list=PLqOZ6FD\_RQ7k-j-86QUC2\_0nEu0QOP-Wy)
- [STATS 250 - Introduction to Statistics and Data Analysis, UMichigan](https://www.youtube.com/playlist?list=PL432AB57AF9F43D4F)
- [Sets, Counting and Probability - Harvard](http://matterhorn.dce.harvard.edu/engage/ui/index.html#/1999/01/82347)
- [Opinionated Lessons in Statistics](http://www.opinionatedlessons.org/) ([Youtube](https://www.youtube.com/playlist?list=PLUAHeOPjkJseXJKbuk9-hlOfZU9Wd6pS0))
- [Statistics - Brandon Foltz](https://www.youtube.com/user/BCFoltz/playlists)
- [Statistical Rethinking: A Bayesian Course Using R and Stan](https://github.com/rmcelreath/statrethinking\_winter2019) ([Lectures](https://www.youtube.com/playlist?list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus)) ([Book](http://www.stat.columbia.edu/~gelman/book/))
- [02402 Introduction to Statistics E12 - Technical University of Denmark](https://www.youtube.com/playlist?list=PLMn2aW3wpAtPC8tZHQy6nwWsFG7P6sPqw) ([F17](https://www.youtube.com/playlist?list=PLgowegO9Se58\_BnUNnaARajEE\_bX-GJEz))
- [Engineering Probability (ECSE-2500) - RPI](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BU1dN2G6ncyiMbML7OXh\_Jx)
- [Purdue ECE302 Introduction to Probability for Data Science](https://www.youtube.com/playlist?list=PL4FSfq6xtSvyqsbgrYDeyV0WWXlXqwy2M)
- [Undergraduate Probability with Professor Roman Vershynin](https://www.math.uci.edu/~rvershyn/teaching/ugp/ugp.html)
- [High-Dimensional Probability](https://www.math.uci.edu/~rvershyn/teaching/hdp/hdp.html)
- [Mathematical Statistics - 2024](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrPZH-fknPLak0tlUpUISBZR) ([YouTube-2020](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrOk5-wIki\_oOxHJnNj0\_437))
- [Bayesian Data Analysis](https://www.youtube.com/playlist?list=PLBqnAso5Dy7O0IVoVn2b-WtetXQk5CDk6)
- [Bayesian Machine Learning and Information Processing](https://biaslab.github.io/teaching/bmlip/) ([YouTube-2021/22](https://www.youtube.com/playlist?list=PLkDDgjnfkmCELsBXiCKCVIHKHSjl-rpkJ)) ([YouTube-2020/21](https://www.youtube.com/playlist?list=PLkDDgjnfkmCH4zq9\_ul-KaTsk-1j1EVEo))
- [Markov Processes - Spring 2023](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrP3rME2XvFvE4Q5vI3H\_7\_Z)
- [Measure Theoretic Probability](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrO6VtBSiQLsNlo9QBm30nxC)
- [Causal Inference Course - Brady Neal](https://www.youtube.com/playlist?list=PLoazKTcS0RzZ1SUgeOgc6SWt51gfT80N0)
- [Causal Inference -- Online Lectures (M.Sc/PhD Level)](https://www.youtube.com/playlist?list=PLyvUJLHD8IsJCB7ALqwjRG1BjL5JxE\_\_H)
- [Machine Learning & Causal Inference: A Short Course](https://www.youtube.com/playlist?list=PLxq\_lXOUlvQAoWZEqhRqHNezS30lI49G-)
- [Causal Inference Jonas Peters](https://www.youtube.com/playlist?list=PLzERW\_Obpmv-\_EXTV1zTmlv-Ab5Tfbp8X)
- [UIUC ECE 534 Random Processes fall 2020 - Ilan Shomorony](https://www.youtube.com/playlist?list=PL682UO4IMem-1IrJp1jTK\_w1lh0qOwLx3)
- [ISyE 320 Simulation and Probabilistic Modeling spring 2022, by Qiaomin Xie - University of Wisconsin-Madison](https://www.youtube.com/playlist?list=PL682UO4IMem-7c512A5mwIn\_J90z8Awgd)
- [Cambridge Principles of Statistics 2020, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT\_YBwXFUfRAb1ZOXnPYDgVNa)
- [UC Berkeley STAT 150 Stochastic Processes spring 2021, by Brett Kolesnik](https://www.youtube.com/playlist?list=PL682UO4IMem\_H6exlt8NMfBSc0137\_wlo)
- [UIUC Math 564 Applied Stochastic Processes fall 2016, by Kay Kirkpatrick](https://www.youtube.com/playlist?list=PL682UO4IMem-5C\_U0ml6O2kM1s1Yo-D9D)
- [CS/ECE 561 - Probability and Info Theory in Machine Learning](https://mediaspace.wisc.edu/channel/CS\_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913)
- [UCLA Stats 10 Introduction to Statistical Reasoning summer 2022, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKCk7fc69zL\_cOogOPQBzXhn)
- [UCLA Stats 101C Statistical Models and Data Mining summer 2022, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKAYdlamMMGkNGJuKFVYvYER)
- [UCLA Stats 102A Introduction to Computational Statistics with R winter 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKCiE3kiMI7ofuQ3wmXQUcmx)
- [UCLA Stats 102B Computation and Optimization for Statistics spring 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKD4XftRgjRlTITljOx792YN)
- [UCLA Stats 102C Introduction to Monte Carlo Methods fall 2023, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKDv0fZ7RxMGPuaa1Yqx\_bzh)
- [UCLA Stats 200B Theoretical Statistics winter 2024, by Arash Amini](https://www.youtube.com/playlist?list=PLN\_qg0-2-0SwfzKyD47bMBmwJnKeezZCW) ([Winter 2023](https://www.youtube.com/playlist?list=PLN\_qg0-2-0Sw03Ffmuq8prIVSoTI3yVyR))
- [UCLA Stats 200C High-dimensional Statistics spring 2022, by Arash Amini](https://www.youtube.com/playlist?list=PLN\_qg0-2-0SzyrvojbW4UZQjVG1CnBFMd) ([Spring 2021](https://www.youtube.com/playlist?list=PLN\_qg0-2-0Sy-nbvOCLgt6uIQsOnmG-iV))
- [UCLA Stats 203 Large Sample Theory fall 2021, by Jingyi Jessica Li](https://www.youtube.com/playlist?list=PLAYxx7zX5F1P5GG-9U8eJPL\_MIsl1\_8Zh) ([Fall 2020](https://www.youtube.com/playlist?list=PLAYxx7zX5F1NKukTVwMADi1D5dbufWJkz))
- [UCSD Math 280 Probability Theory and Stochastic Processes, by Todd Kemp](https://mathweb.ucsd.edu/~tkemp/ProbabilityTube/) ([YouTube](https://www.youtube.com/@toddkemp-probability/playlists))
- [METU EE 531 Probability and Stochastic Processes, by Elif Uysal](https://ocw.metu.edu.tr/course/view.php?id=323)
- [6.262 Discrete Stochastic Processes - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-262-discrete-stochastic-processes-spring-2011/)
- [18.650 Statistics for Applications - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-650-statistics-for-applications-fall-2016/lecture-videos/)
- [STAT240 - Robust Statistics - UC Berkeley](https://www.stat.berkeley.edu/~jsteinhardt/stat240/index.html)
- [MAS575 Combinatorics at KAIST](https://www.youtube.com/playlist?list=PLtdCUqgs4lwYSITE9VYOIszWUH-rX-1jh)
- [Probabilistic method, KAIST 2020](https://www.youtube.com/playlist?list=PLu06QHBZ8gaskGtGbZ\_kI1-Lk9rfucq-L)
- \*\*선형대수학\*\*
- [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https://willett.psd.uchicago.edu/teaching/mathematical-foundations-of-machine-learning-fall-2021/)
- [Mathematical Foundations of Machine Learning (Fall 2025) - Rebecca Willett - University of Chicago](https://www.youtube.com/playlist?list=PLcwJ7lE9nSHNy5cAZvIHFstwM37ztUXXB)
- [18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/)
- [18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning - MIT OCW](https://ocw.mit.edu/courses/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video\_galleries/lecture-videos/)
- [University of Wisconsin-Madison ECE/CS/ME 532 Matrix Methods in Machine Learning fall 2017, by Laurent Lessard](https://laurentlessard.com/teaching/532-matrix-methods/)
- [Linear Algebra (Princeton University)](https://www.youtube.com/playlist?list=PLGqzsq0erqU7w7ZrTZ-pWWk4-AOkiGEGp)
- [MOOC: Coding the Matrix: Linear Algebra through Computer Science Applications - Coursera](http://academictorrents.com/details/54cd86f3038dfd446b037891406ba4e0b1200d5a)
- [CS 053 - Coding the Matrix - Brown University](http://cs.brown.edu/courses/cs053/current/lectures.htm) ([Fall 14 videos](https://cs.brown.edu/video/channels/coding-matrix-fall-2014/))
- [Linear Algebra Review - CMU](http://www.cs.cmu.edu/~zkolter/course/linalg/outline.html)
- [A first course in Linear Algebra - N J Wildberger - UNSW](https://www.youtube.com/playlist?list=PL44B6B54CBF6A72DF)
- [INTRODUCTION TO MATRIX ALGEBRA](http://ma.mathforcollege.com/youtube/index.html)
- [Computational Linear Algebra - fast.ai](https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY) ([Github](https://github.com/fastai/numerical-linear-algebra))
- [ENGR108: Introduction to Applied Linear Algebra—Vectors, Matrices, and Least Squares - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9)
- [MIT 18.S096 Matrix Calculus For Machine Learning And Beyond](https://www.youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E\_VCN4izBKK6OE)
- [Cornell MATH 2940 Linear Algebra for Engineers spring 2009, by Andy Ruina](https://vod.video.cornell.edu/channel/MATH%2B2940%2B-%2BLinear%2BAlgebra%2Bfor%2BEngineers%2BSpring%2B2009/114208531)
- [10-600 Math Background for ML - CMU](https://www.youtube.com/playlist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)
- [MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning](https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video-lectures/)
- [Direct Methods for Sparse Linear Systems - Prof Tim Davis - UFL](https://www.youtube.com/playlist?list=PL5EvFKC69QIyRLFuxWRnH6hIw6e1-bBXB)
- [36-705 - Intermediate Statistics - Larry Wasserman, CMU](http://www.stat.cmu.edu/~larry/=stat705/) ([YouTube](https://www.youtube.com/playlist?list=PLcW8xNfZoh7eI7KSWneVWq-7wr8ffRtHF))
- [Combinatorics - IISC Bangalore](https://nptel.ac.in/courses/106108051/)
- [Advanced Engineering Mathematics - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85Ae4pzlylMLzq\_a-RHPx8ryA)
- [Statistical Computing for Scientists and Engineers - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AeltIRcjDY7Z4q49NEAuMcA)
- [Statistical Computing, Fall 2017 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcSgNGnT5TUHt85SrCljT3V)
- [Statistics 243 Introduction to Statistical Computing, Fall 2015 - UC Berkeley](https://www.youtube.com/playlist?list=PLIygTcviGPKCJjCMep25BtbRwehuNTd-l) ([Notes-2015](https://github.com/berkeley-stat243/stat243-fall-2015)) ([YouTube-2014](https://www.youtube.com/playlist?list=PLIygTcviGPKDwAtmOYy\_dY\_tPuE\_8Gc68)) ([Notes-2014](https://github.com/berkeley-stat243/stat243-fall-2014)) ([YouTube-2013](https://www.youtube.com/playlist?list=PLIygTcviGPKBj\_b9jy\_ZkQM3v4r9iLocO))
- [Mathematics for Machine Learning, Lectures by Ulrike von Luxburg - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
- [Essential Mathematics for Machine Learning- July 2018 - IIT Roorkee - YouTube Lectures](https://www.youtube.com/playlist?list=PLLy\_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE)
- [Numerics of Machine Learning (Winter 2022/23) - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij2lwDdj7IkuHoP9vHlEcH0s)
- [Nonlinear Dynamics and Chaos - Steven Strogatz, Cornell University](https://www.youtube.com/playlist?list=PLbN57C5Zdl6j\_qJA-pARJnKsmROzPnO9V)
- [Nonlinear Dynamics & Chaos - Virginia Tech](https://www.youtube.com/playlist?list=PLUeHTafWecAUqSh3Gy0NNr7H3OsXoC-aK)
- [An introduction to Optimization on smooth manifolds (with book) - EPFL](https://www.nicolasboumal.net/book/)
- [Math Modelling](https://www.youtube.com/playlist?list=PLXsDp0z6VWFT5ZM86xh8i1AMFYxnrefLk)
- [Large-Scale Convex Optimization: Algorithms & Analyses via Monotone Operators by Ernest Ryu and Wotao Yin](https://www.youtube.com/@large-scaleconvexoptimizat2973/videos)
- [An Overview of Variational Analysis 2021 by Tyrrell Rockafellar](https://www.youtube.com/playlist?list=PLIismQEEd55Fnzllb-HEYK6k8dMmz2ctj)
- [UW AMATH 584 Applied Linear Algebra & Numerical Analysis by Nathan Kutz](https://faculty.washington.edu/kutz/am584/am584.html)
- [UW AMATH 584 Applied Linear Algebra & Introductory Numerical Analysis fall 2005, by Loyce Adams](https://www.youtube.com/playlist?list=PL682UO4IMem-NKDk9uLzRaTOnHPpr4knp)
- [Stanford CME 206 Introduction to Numerical Methods for Engineering spring 2005, by Charbel Farhat](https://www.youtube.com/playlist?list=PL682UO4IMem97Nk-jJCqUiYZmwpCxMuYF)
- [Stanford CME 200 Linear Algebra with Application to Engineering Computations autumn 2004, by Margot Gerritsen](https://www.youtube.com/playlist?list=PL682UO4IMem-ZiiCDz7C6bVRjxJ5P35zk)
- [Stanford CME 302 Numerical Linear Algebra autumn 2007, by Gene Golub](https://www.youtube.com/playlist?list=PL682UO4IMem-OlrG8LXfWQJ2kV\_4mpAau)
- [TUe Numerical Linear Algebra 2021, by Martijn Anthonissen](https://www.youtube.com/playlist?list=PLRb3xghOQGNKbUt8zIRpwrQ-SZ6aIZNvt)
- [Numerical Linear Algebra fall 2018, by Jaegul Choo](https://www.youtube.com/playlist?list=PLep-kTP3NkcMdmrw07VsKFt87FT584Cpd)
- [MIT 6.S955 Applied Numerical Algorithms fall 2023, by Justin Solomon](https://www.youtube.com/playlist?list=PLQ3UicqQtfNv\_Io\_NT1b0Nzr9YDqpK3Lb)
- [MIT 6.7350 Numerical Algorithms for Computing and Machine Learning fall 2025, by Justin Solomon](https://www.youtube.com/playlist?list=PLQ3UicqQtfNsivZX5TmUAoUkkBqFT8aOL)
- [UC Berkeley Math 54 Linear Algebra & Differential Equations spring 2022, by Alexander Paulin](https://math.berkeley.edu/~apaulin/54%20(Spring%202022).html) ([Summer 2021, by Peter Koroteev](https://math.berkeley.edu/~pkoroteev/math54.html)) ([Summer 2020, by Luvreet Sangha](https://www.youtube.com/playlist?list=PLShth7hrtLHO2U1XkrI6ZgMyuPHDxRcob)) ([Spring 2018, by Alexander Paulin](https://math.berkeley.edu/~apaulin/54\_001(Spring2018).html))
- [UC Berkeley Math 55 Discrete Mathematics fall 2021, by Nikhil Srivastava](https://www.youtube.com/playlist?list=PLaVBOvvdB5ctaLM6AmkUaODhd4JhyP\_zC)
- [UC Berkeley Math 56 Linear Algebra fall 2023, by Alexander Paulin](https://math.berkeley.edu/~apaulin/56%20(Fall%202023).html)
- [Fundamental Mathematics for Robotics spring 2020, by Ken Tomiyama](https://www.youtube.com/@citqualityeducation803/videos)
- [Short Course on Casual Inference, by Sanjay Shakkottai](https://www.youtube.com/playlist?list=PLcip-Gs\_jEK\_l2pNG8V\_0UDK9jyPtLyuq)
- [UCLA STAT 100C Linear Models spring 2023, by Arash Amini](https://www.youtube.com/playlist?list=PLN\_qg0-2-0SzrzpEoojAa4anJdaKa49GM)
- [MSU Math for Computing](https://www.youtube.com/playlist?list=PLZ-krWGO-UEyLqtyA2pACX\_tXXBTLWkI1)
- [Mathematics of Data Science - ETH Zurich](https://www.youtube.com/playlist?list=PLiud-28tsatIKUitdoH3EEUZL-9i516IL)
- [Mathematical Data Science 1 - Spring 2021 - FAU](https://www.fau.tv/course/id/2297) ([Spring 2020](https://www.fau.tv/course/id/1234))
- [Engineering Mathematics (UW ME564 and ME565) - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNR2W2sPWsYxfrxcASrUt\_9j)
- [Beginning Scientific Computing - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNRTVrHYDfjNyqzZ6Q6rsTyf)
- [Jadavpur University: Foundation\_Math\_forML\_Autumn23](https://www.youtube.com/playlist?list=PLcNLn\_ApooUyoctc147F-49oHnfvuj3Yt)
- [FAU: Inverse Problems Autumn21](https://www.fau.tv/course/id/2705)
- [EdX 1st Course on SparseLand by Michael Elad - Theory](https://www.youtube.com/playlist?list=PL0H3pMD88m8W39EbuArGLa9yXk8q6QGip)
- [EdX 2nd Course on SparseLand by Michael Elad - Practice](https://www.youtube.com/playlist?list=PL0H3pMD88m8X2DeBI-iidbbPCe9kEKxzJ)
------------------------------
### 웹 프로그래밍 및 인터넷 기술
- [CS50's Web Programming with Python and JavaScript](https://www.edx.org/course/cs50s-web-programming-with-python-and-javascript)
- [Web Design Decal - HTML/CSS/JavaScript Course, University of California, Berkeley](http://wdd.io/)
- [CS 75 Building Dynamic Websites - Harvard University](https://www.youtube.com/playlist?list=PLERAEIq9URVfhQWz2mnZgFDvzRs6Zeaui)
- [Internet Technology - IIT Kharagpur](https://nptel.ac.in/courses/106105084/)
- [Introduction to Modern Application Development - IIT Madras](https://nptel.ac.in/courses/106106156/)
- [CSE 199 - How the Internet Works, Fall 2016 - University of Buffalo](https://www.youtube.com/playlist?list=PLk97mPCd8nvbxGGfkYkBXrSEvpTc1xTF8)
- [Open Sourced Elective: Database and Rails - Intro to Ruby on Rails, University of Texas](https://www.schneems.com/ut-rails) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PL7A85FD7803A8CB1F))
- [CSE154 - Web Programming, Spring 2020 - University of Washington](https://courses.cs.washington.edu/courses/cse154/20sp/) ([Videos](https://www.youtube.com/playlist?list=PLrE1feouzSWqcgK0Lvt3r\_8AwN6UndaOD))
- [CSEP545 - Transaction Processing for E-Commerce, Winter 2012 - University of Washington](https://courses.cs.washington.edu/courses/csep545/12wi/) ([Videos](https://courses.cs.washington.edu/courses/csep545/12wi/video/))
- [CT 310 Web Development - Colorado State University](https://www.cs.colostate.edu/~ct310/yr2016sp/home\_progress.php)
- [Internet Technologies and Applications 2012, Steven Gordon - Thammasat University, Thailand](https://www.youtube.com/playlist?list=PLvifRcqOOwF9cfLMTE-42fiBsWvBsOEkS)
- [CSCI 3110 Advanced Topics in Web Development, Fall 2011 - ETSU iTunes](https://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=454017618)
- [CSCI 5710 e-Commerce Implementation, Fall 2015 - ETSU iTunes](https://itunes.apple.com/us/itunes-u/e-commerce-implementation/id1020427670)
- [MOOC - Web Development - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlLXUhUNt1wINWrrH9axjcI)
- [Web Technologies Prof. Dr. Christoph Meinel - HPI](https://open.hpi.de/courses/webtech2015/items/4oqxq6euKfhXgHOMwFBxbn)
- [Full Stack Open - University of Helsinki (Modern Web Development with React, Node.js, GraphQL, TypeScript)](https://fullstackopen.com/en/)
------------------------------
### 이론 컴퓨터 과학 및 프로그래밍 언어
- [MIT 18.404J Theory of Computation - Fall 2020 - Lecture Slides](https://ocw.mit.edu/courses/18-404j-theory-of-computation-fall-2020/pages/lecture-notes)
- [MIT 18.404J Theory of Computation - Fall 2020 - Video Lectures](https://www.youtube.com/playlist?list=PLUl4u3cNGP60\_JNv2MmK3wkOt9syvfQWY)
- [MOOC - Compilers - Stanford University](https://archive.org/details/academictorrents\_e31e54905c7b2669c81fe164de2859be4697013a)
- [CS 6120: Advanced Compilers: The Self-Guided Online Course - Cornell University](https://www.cs.cornell.edu/courses/cs6120/2020fa/self-guided/)
- [CS 164 Hack your language, UC Berkeley](https://sites.google.com/a/bodik.org/cs164/home) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS))
- [Theory of computation - Shai Simonson](http://www.aduni.org/courses/theory/index.php?view=cw)
- [CS 173 Programming Languages, Brown University](http://cs.brown.edu/courses/cs173/2012/Videos/) ([Book](http://cs.brown.edu/courses/cs173/2012/book/))
- [CS Theory Toolkit at CMU 2020](https://www.youtube.com/playlist?list=PLm3J0oaFux3ZYpFLwwrlv\_EHH9wtH6pnX)
- [CS 421 - Programming Languages and Compilers, UIUC](https://courses.engr.illinois.edu/cs421/fa2014/)
- [CSC 253 - CPython internals: A ten-hour codewalk through the Python interpreter source code, University of Rochester](https://www.youtube.com/playlist?list=PLzV58Zm8FuBL6OAv1Yu6AwXZrnsFbbR0S)
- [CSE341 - Programming Languages, Dan Grossman, Spring 2013 - University of Washington](https://courses.cs.washington.edu/courses/cse341/13sp/)
- [CSEP 501 - Compiler Construction, University of Washington](https://courses.cs.washington.edu/courses/csep501/09au/lectures/video.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLTPQEx-31JXhfAWGnGzwbfhB2zUB7Jd4C))
- [CSEP 505 Programming Languages, Winter 2015 - University of Washington](https://courses.cs.washington.edu/courses/csep505/15wi/video/)
- [DMFP - Discrete Mathematics and Functional Programming, Wheaton College](http://cs.wheaton.edu/~tvandrun/dmfp/)
- [CS 374 - Algorithms & Models of Computation (Fall 2014), UIUC](https://courses.engr.illinois.edu/cs498374/fa2014/lectures.html) ([Lecture videos](https://www.youtube.com/playlist?list=PL0v718LJg-7\_4Zwx3CE7kZ398mhlB2TqF473))
- [6.045 Automata, Computability, and Complexity, MIT](https://stellar.mit.edu/S/course/6/sp15/6.045/materials.html) ([Lecture Videos](http://stellar.mit.edu/S/course/6/sp15/6.045/special/videos/index.html))
- [MOOC - Automata - Jeffrey Ullman - Coursera](https://www.youtube.com/playlist?list=PL82C4B8475CAC3F95)
- [CS581 Theory of Computation - Portland State University](http://web.cecs.pdx.edu/~harry/videos/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbtzT1TYeoMjNOGEiaRmm\_vMIwUAidnQz))
- [Theory of Computation - Fall 2011 UC Davis](https://www.youtube.com/playlist?list=PLslgisHe5tBM8UTCt1f66oMkpmjCblzkt)
- [TDA555 Introduction to Functional Programming - Chalmers University of Technology](http://www.cse.chalmers.se/edu/course/TDA555/index.html) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLIQ9jYeUxhgqEnjey91yRTITaXqZQy3Ta))
- [Ryan O'Donnell Theoretical Computer Science Talks](https://www.youtube.com/playlist?list=PLm3J0oaFux3bLpmu56cDd1PUTp-aJVaTo)
- [Philip Wadler Haskell lecture recordings](https://www.youtube.com/playlist?list=PLtRG9GLtNcHBv4cuh2w1cz5VsgY6adoc3)
- [Functional Programming (2021) - University of Nottingham](http://www.cs.nott.ac.uk/~pszgmh/pgp.html)
- [Functional Programming - University of Edinburgh - 2016-17](http://www.inf.ed.ac.uk/teaching/courses/inf1/fp/)
- [MOOC - Functional Programming Principles in Scala by Martin Odersky](https://www.youtube.com/user/afigfigueira/playlists?sort=dd&view=50&shelf\_id=9)
- [CS294 - Program Synthesis for Everyone](https://people.eecs.berkeley.edu/~bodik/cs294fa12)
- [MOOC - Principles of Reactive Programming, Scala - Coursera](https://www.youtube.com/playlist?list=PLMhMDErmC1TdBMxd3KnRfYiBV2ELvLyxN)
- [Category Theory for Programmers, 2014 - Bartosz Milewski](https://bartoszmilewski.com/2014/10/28/category-theory-for-programmers-the-preface/) ([YouTube](https://www.youtube.com/playlist?list=PLbgaMIhjbmEnaH\_LTkxLI7FMa2HsnawM\_))
- Oregon Programming Languages Summer School (Proof theory, type theory, category theory, verification)
- [2012 Lectures](https://www.cs.uoregon.edu/research/summerschool/summer12/curriculum.html)
- [2013 Lectures](https://www.cs.uoregon.edu/research/summerschool/summer13/curriculum.html)
- [2014 Lectures](https://www.cs.uoregon.edu/research/summerschool/summer14/curriculum.html)
- [2015 Lectures](https://www.cs.uoregon.edu/research/summerschool/summer15/curriculum.html)
- [2016 Lectures](https://www.cs.uoregon.edu/research/summerschool/summer16/curriculum.php)
- [ Latest YT playlists](https://www.youtube.com/@OPLSS/playlists)
- [Inf1 - Computation and Logic 2015 - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf1/cl/)
- [INFORMATICS 1 - FUNCTIONAL PROGRAMMING - University of Edinburgh](http://www.inf.ed.ac.uk/teaching/courses/inf1/fp/) ([Videos](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/inf1fp.htm))
- [Compiler Design - IISC Bangalore](https://nptel.ac.in/courses/106108052/)
- [Compiler Design - IIT Kanpur](https://nptel.ac.in/courses/106104123/)
- [Principles of Programming Languages - IIT Delhi](https://nptel.ac.in/courses/106102067/)
- [Principles of Compiler Design - IISC Bangalore](https://nptel.ac.in/courses/106108113/)
- [Functional Programming in Haskell - IIT Madras](https://nptel.ac.in/courses/106106137/)
- [Theory of Computation - IIT Kanpur](https://nptel.ac.in/courses/106104148/)
- [Theory of Automata, Formal Languages and Computation - IIT Madras](https://nptel.ac.in/courses/106106049/)
- [Theory of Computation - IIT Kanpur](https://nptel.ac.in/courses/106104028/)
- [Logic for CS - IIT Delhi](https://nptel.ac.in/courses/106102013/)
- [Principles of Compiler Design - Swarthmore College](https://www.cs.swarthmore.edu/~jpolitz/cs75/s16/index.html)
- [Undergrad Complexity Theory at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5vLXpzOyJiLtqLp6dCW2)
- [Graduate Complexity Theory at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3b8Gg1DdaJOzYNsaXYLAOKH)
- [Great Ideas in Theoretical Computer Science at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3aafQm568blS9blxtA\_EWQv)
- [Another link](https://www.cs251.com/)
- [Analysis of Boolean Functions at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3YypJNaF6sRAf2zC1QzMuTA)
- [Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015](http://ais.informatik.uni-freiburg.de/teaching/ss15/bridging/)
- [Languages & Translators - UCLouvain LINFO2132](https://norswap.com/compilers/)
- [Compiler Design by Sorav Bansal](https://www.youtube.com/playlist?list=PLf3ZkSCyj1tf3rPAkOKY5hUzDrDoekAc7)
- [OCaml Programming: Correct + Efficient + Beautiful](https://www.youtube.com/playlist?list=PLre5AT9JnKShBOPeuiD9b-I4XROIJhkIU)
- [Columbia IEOR E4004 Introduction to Operations Research: Deterministic Models summer 2005, by Jay Sethuraman](https://www.youtube.com/playlist?list=PLIygTcviGPKCVGq8cQ9MCBEm5wVXGsDpw)
- [Columbia IEOR E4106 Introduction to Operations Research: Stochastic Models spring 2005, by Ward Whitt](https://www.youtube.com/playlist?list=PLIygTcviGPKDJMIOWQcnSSzKDFOG\_dF4r)
- [Columbia ELEN E6711 Stochastic Models in Information Systems fall 2005, by Yuliy Barsyhnikov](https://www.youtube.com/playlist?list=PL682UO4IMem9dvI-8vjxlPkM5onW9WoIp)
- [Columbia ELEN E6717 Information Theory fall 2003, by Vittorio Castelli](https://www.youtube.com/playlist?list=PL682UO4IMem\_IUZIFzlJi8vCTtS-Xi8eY)
- [University of Washington EE514A/EE515A - Information Theory I/II fall 2013, by Jeff Bilmes](https://www.youtube.com/playlist?list=PLFze15KrfxbGsPDYxeLyeYorlHSBsTPv0)
- [CMU 15 150 Principles of Functional Programming summer 2023, by Brandon Wu](https://www.youtube.com/playlist?list=PLsydD1kw8jng2t2G8USQNLz0faYZetPnH)
- [CMU 21 738 Extremal Combinatorics spring 2020, by Po-Shen Loh](https://www.youtube.com/playlist?list=PLgTkKBA6LRqaGKITvQS1QuIBoEbOVwFTm)
- [JHU Domain-Specific Languages (DSL) Class (Summer 2018)](https://www.youtube.com/playlist?list=PLW-6wqFEcgTqHMXV\_8jI43QLkCv8VgqLk)
- [Spring 2019 - Probabilistically Checkable and Interactive Proof Systems (Alessandro Chiesa)](https://www.youtube.com/playlist?list=PLkFD6\_40KJIyWWtxCPBHwGsrutjvwM5\_U)
- [Algebraic Coding Theory - Stanford University](https://www.youtube.com/playlist?list=PLkvhuSoxwjI\_UudECvFYArvG0cLbFlzSr)
- [CS60094 Computational Number Theory](https://www.youtube.com/playlist?list=PLG63srgJBCAiOJ0hGikoiTq0CsUg\_OGKu)
- [KAIST CS420: Compiler Design](https://www.youtube.com/playlist?list=PL5aMzERQ\_OZ8RWqn-XiZLXm1IJuaQbXp0)
- [CS402 Introduction to Logic for Computer Science (Spring 2020, KAIST)](https://www.youtube.com/playlist?list=PLvV9DPeJV9xzhy0Ti3P4DrfmtfXfLalW6)
- [CS520 Theories of Programming Languages (Fall 2020, KAIST)](https://www.youtube.com/playlist?list=PLvV9DPeJV9xx0NegrG4gNu8WXSXibDICu)
------------------------------
### 임베디드 시스템
- [EE319K Embedded Systems - UT Austin](http://users.ece.utexas.edu/~valvano/Volume1/E-Book/VideoLinks.htm)
- [EE445L Embedded Systems Design Lab, Fall 2015, UTexas](https://www.youtube.com/playlist?list=PLyg2vmIzGxXGBxFu8nvX3KBadSdsNAvbA)
- [CS149 Introduction to Embedded Systems - Spring 2011 - UCBerkeley](https://youtube.com/playlist?list=PLu0nzW8Es1x0RIvuWdw1Diez2Clk8xAX5)
- [CSE/ECE 474 Introduction to Embedded Systems - University of Washington](https://courses.cs.washington.edu/courses/cse474/23sp/) ([Lectures - YouTube-Spring 21](https://www.youtube.com/playlist?list=PLyB1\_dMg8sy8W2EMtSUymI3KpAhXBQOlT))
- [ECE 4760 Designing with Microcontrollers Fall 2016, Cornell University](http://people.ece.cornell.edu/land/courses/ece4760/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLKcjQ\_UFkrd4I5WOIxHEYZ7iY04lj15Ez))
- [ECE 5760 - Advanced Microcontroller Design and system-on-chip, Spring 2016 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5760/)
- [Internet of Things by Prof. Dr.-Ing. Dietmar P. F. Möller](https://video.tu-clausthal.de/vorlesung/408.html)
- [18 642 - Embedded Software Engineering, Fall 2021 - CMU](https://users.ece.cmu.edu/~koopman/lectures/index.html#642)
- [CSE 351 - The Hardware/Software Interface, Spring 16 - University of Washington](https://courses.cs.washington.edu/courses/cse351/16sp/videos.html) ([Coursera](http://academictorrents.com/details/f1384286c8581bffba11e378fdb37608e649d82a))
- [ECE 5030 - Electronic Bioinstrumentation, Spring 2014 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5030/)
- [ECE/CS 5780/6780 - Embedded Systems Design, Spring 14 - University of Utah](https://www.youtube.com/playlist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)
- [EECS 373 - Introduction to Embedded System Design - University of Michigan](https://www.eecs.umich.edu/courses/eecs373/lectures.html) ([Lectures - YouTube-Fall 24](https://www.youtube.com/playlist?list=PLDe8F9fr1j\_QULxa7xCozweLKYI4cXun4)) ([Lectures - YouTube-Fall 23](https://www.youtube.com/playlist?list=PLDe8F9fr1j\_R2ljCeIq2FOLHaeZ6tBV\_o))
- [Embedded Systems Class - Version 1 - 2011 - UNCC](https://www.youtube.com/playlist?list=PLE4462C1C306E2EB2)
- [Embedded Systems using the Renesas RX63N Processor - Version 3 - UNCC](https://www.youtube.com/playlist?list=PLPIqCiMhcdO5gxLJWt\_hY5CPMzqg75IU5)
- [Software Engineering for Embedded Systems (WS 2011/12) - HPI University of Potsdam](https://www.tele-task.de/series/864/)
- [Embedded Software Testing - IIT Madras](https://nptel.ac.in/courses/117106112/)
- [Embedded Systems - IIT Delhi](https://nptel.ac.in/courses/108102045/)
- [Embedded Systems Design - IIT Kharagpur](https://nptel.ac.in/courses/106105159/)
- [ARM Based Development - IIT Madras](https://nptel.ac.in/courses/117106111/)
- [Software Engineering for Self Adaptive Systems - iTunes - HPI University of Potsdam](https://itunes.apple.com/us/itunes-u/software-engineering-for-self/id993578475)
- [EE260 Embedded Systems by Robert Paz](https://www.youtube.com/playlist?list=PLnvE9iJk1wvib\_pdUPdQGYZrkrmg9mf\_\_)
- [IoT Summer School](https://www.youtube.com/playlist?list=PLHih6DnKQaoYQ5PIT3Tp-UrqUguDYWYQu)
- [ECSE 421 - Embedded Systems - McGill](http://www.cim.mcgill.ca/~jer/courses/es/)
- [NOC:Advanced IOT Applications - IISc Bangalore](https://nptel.ac.in/courses/108/108/108108123/)
- [NOC:Design for internet of things - IISc Bangalore](https://nptel.ac.in/courses/108/108/108108098/)
------------------------------
### 실시간 시스템 평가
- [Performance evaluation of Computer systems - IIT Madras](https://nptel.ac.in/courses/106/106/106106048/)
- [Real Time systems - IIT Karaghpur](https://nptel.ac.in/courses/106/105/106105036/)
- [EE 380 Colloquium on Computer Systems - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu)
- [CSE 6220 / CX 4220 Introduction to High Performance Computing - Georgia Tech](https://cse6220.gatech.edu/sp25-oms/) [Videos - Sp 2025](https://www.youtube.com/playlist?list=PLD8evIHEiYcAmVK-htqCH5qjUH8lmv1y3) [Website - Fa 2024](https://sites.gatech.edu/cse6220fall24/) [Videos - Fa 2024](https://www.youtube.com/playlist?list=PLD8evIHEiYcAi9k3ydhltboOEpF3Ai\_oY)
- [CSE 6230 High Performance Computing: Tools and Applications - Georgia Tech](https://sites.gatech.edu/cse6230spring24/) [Videos - Sp 2024](https://www.youtube.com/playlist?list=PLD8evIHEiYcCdVFUfZbmFSyE5e-JrcFss)
- [System storages - IISc Bangalore](https://nptel.ac.in/courses/106/108/106108058/)
- [High Performance Computing - IISC Bangalore](https://www.youtube.com/playlist?list=PL2F82ECDF8BB71B0C)
- [2023 High Performance Computing Course Prof Dr - Ing Morris Riedel](https://www.youtube.com/playlist?list=PLmJwSK7qduwUBwrFn3SY8vi4AYa2rVTWH) ([2022](https://www.youtube.com/playlist?list=PLmJwSK7qduwWyqcSEB45HOyxq--z8njix))
- [High Performance Computing | Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPk8NaXIiFQXWK6VPnrtMRXC)
- [UCLA Stats 205 Hierarchical Linear Models spring 2024, by Jingyi Jessica Li](https://www.youtube.com/playlist?list=PLAYxx7zX5F1O2HbRr4gORnscbM9EszYbK)
- [UF EML 6934 Optimal Control spring 2012, by Anil V. Rao](https://www.youtube.com/playlist?list=PLIygTcviGPKBCJ9JyHfBi4ftc9FDCtaBc)
- [Real-World Algorithms for IoT and Data Science - UIUC](https://rrc-uiuc.notion.site/Real-World-Algorithms-for-IoT-and-Data-Science-74d8f612f74a4c1689760dafa31ef93d)
------------------------------
### 컴퓨터 구조 및 아키텍처
- \*\*컴퓨터 구조\*\*
- [How Computers Work - Aduni](http://aduni.org/courses/hcw/index.php?view=cw)
- [CS 61C - Machine Structures, UC Berkeley Spring 2015](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs61c-spring2015-berkeley.html)
- [6.004 - Computation Structures Spring 2013, MIT](https://www.youtube.com/playlist?list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-)
- [CS/ECE 3810 Computer Organization, Fall 2015, , University of Utah](http://www.cs.utah.edu/~rajeev/cs3810/) ([YouTube](https://www.youtube.com/playlist?list=PLm7BxCUdWqZzjZ-jRe73KUfj2GsSS2FPy))
- [Digital Computer Organization - IIT Kharagpur](https://nptel.ac.in/courses/117105078/)
- [Computer Organization - IIT Madras](https://nptel.ac.in/courses/106106092/)
- [CS-224 - Computer Organization, 2009-2010 Spring, Bilkent University](http://video.bilkent.edu.tr/course\_videos.php?courseid=16) ([YouTube playlist](https://www.youtube.com/playlist?list=PLhwVAYxlh5dvB1MkZrcRZy6x\_a2yORNAu))
- [INFORMATICS 2C - INTRODUCTION TO COMPUTER SYSTEMS (AUTUMN 2016) - University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/inf2c-cs.htm)
- \*\*컴퓨터 아키텍처\*\*
- [18-447 - Introduction to Computer Architecture, CMU](http://www.ece.cmu.edu/~ece447/s15/doku.php?id=schedule) ([Lectures - YouTube - Fall 15](https://youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq))
- [CSEP 548 - Computer Architecture Autumn 2012 - University of Washington](https://courses.cs.washington.edu/courses/csep548/12au/video/index.html)
- [CS/ECE 6810 Computer Architecture, Spring 2016, University of Utah](http://www.cs.utah.edu/~rajeev/cs6810/) ([YouTube](https://www.youtube.com/playlist?list=PL8EC1756A7B1764F6))
- [MOOC - Computer Architecture, David Wentzlaff - Princeton University/Coursera](http://academictorrents.com/details/53bae6d22f3b6e692673f9335e0a0198c1618426)
- [Computer Architecture - ETH Zürich - Fall 2019](https://safari.ethz.ch/architecture/fall2019/doku.php?id=schedule)
- [Digital Circuits and Computer Architecture - ETH Zurich - Spring 2017](https://www.youtube.com/playlist?list=PL5Q2soXY2Zi-IXWTT7xoNYpst5-zdZQ6y)
- [Computer Architecture - IIT Delhi](https://nptel.ac.in/courses/106102062/)
- [Computer Architecture - IIT Kanpur](https://nptel.ac.in/courses/106104122/)
- [Computer Architecture - IIT Madras](https://nptel.ac.in/courses/106106134/)
- [High Performance Computer Architecture - IIT Kharagpur](https://nptel.ac.in/courses/106105033/)
- [BE5B35APO - Computer Architectures, Spring 2025, CTU - FEE](https://cw.fel.cvut.cz/b242/courses/b35apo/en/lectures/start) ([RISC-V simulator - QtRvSim](https://comparch.edu.cvut.cz/)), ([YouTube - Spring 2025](https://www.youtube.com/playlist?list=PLQL6z4JeTTQl3tUGV5kM5Wt9ziZrV-fpI)), ([YouTube - Spring 2022](https://www.youtube.com/playlist?list=PLQL6z4JeTTQnTrML7HgagbjdpCtvdyu0M))
- [BE4M35PAP - Advanced Computer Architectures, Winter 2025, CTU - FEE](https://cw.fel.cvut.cz/b251/courses/b4m35pap/lectures/start) ([VHSky.cz - Winter 2025](https://vhsky.cz/w/p/8jhsHuueWNpjXWVcJTBg88))
- [CS773: Computer Architecture for Performance and Security - IIT Bombay](https://www.youtube.com/playlist?list=PLw6vmiIQrilQ-KhbMAMeh9\_eddYjHRjb6)
- [COL718 - Architecture of High Performance Computers - IIT Delhi](https://www.cse.iitd.ac.in/~srsarangi/courses/2020/col\_718\_2020/index.html)
- [CS 695: Virtualization and Cloud Computing - IIT Bombay -Spring 2021](https://www.cse.iitb.ac.in/~cs695/)
- \*\*병렬 컴퓨터 아키텍처\*\*
- [15-418 - Parallel Computer Architecture and Programming, CMU](http://15418.courses.cs.cmu.edu/spring2015/) ([Lecture Videos](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22a5862643-2416-49ef-b46b-13465d1b6df0%22))
- [CS 267 Applications of Parallel Computers, Spring 18 - UC Berkeley](https://sites.google.com/lbl.gov/cs267-spr2018/) ([YouTube-Spring 18](https://www.youtube.com/playlist?list=PLkFD6\_40KJIx1CL7aIN9BwFL\_sttEzfQ7)) ([Notes-Spring 16](https://people.eecs.berkeley.edu/~demmel/cs267\_Spr16/)) ([YouTube-Spring 16](https://www.youtube.com/playlist?list=PLkFD6\_40KJIzSfxr35ZT59-LZcibZmfp2))
- [MOOC - Heterogeneous Parallel Programming - Coursera](http://academictorrents.com/details/8903d0871c652b96c7b29db738cea76902d65888)
- [ECE 498AL - Programming Massively Parallel Processors](https://nanohub.org/resources/7225)
- [ECE 1756 - Reconfigurable Computing and FPGA Architecture - University of Toronto - Fall 2020](https://www.youtube.com/playlist?list=PLUKkY-JJArvBOeaNPXBz5Pe3gXuBqdeSA) ([YouTube-Fall 2022](https://www.youtube.com/@UofT-FPGA/streams))
- [Parallel Computing - IIT Delhi](https://nptel.ac.in/courses/106102114/)
- [Parallel Architectures 2012/13- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2012/pa.htm)
- \*\*디지털 시스템 설계\*\*
- [ELEC2141 Digital Circuit Design, UNSW](https://www.youtube.com/playlist?list=PLB52B8F4E464CEEF7)
- [Digital Systems Design - IIT Kharagpur](https://nptel.ac.in/courses/117105080/)
- [Digital Design Course - 2015 - UNCC](https://www.youtube.com/playlist?list=PLPIqCiMhcdO7bBmieyG5u41x2Ogcn67Bs)

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