# Computer Science video courses Introduction ------------ List of Computer Science courses with video lectures. For more courses, please refer [MIT OCW](https://ocw.mit.edu/index.htm) and [awesome-courses](https://github.com/prakhar1989/awesome-courses) Focus would be to act as general undergraduate/graduate CS University curriculum. Brevity would be preferred over comprehensiveness/details in order to maintain the list readable and usable. Please visit link to course for more details. Table of Contents ----------------- - [Introduction to CS](#introduction-to-cs) - [Data Structures and Algorithms](#data-structures-and-algorithms) - [Systems](#systems) - [Artificial Intelligence](#artificial-intelligence) - [Machine Learning](#machine-learning) - [Computer Graphics](#computer-graphics) - [CS Theory](#cs-theory) - [Programming Languages / Compilers](#programming-languages--compilers) - [Security](#security) - [Misc](#misc) Courses ------- ### Introduction to CS - [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://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00-introduction-to-computer-science-and-programming-fall-2008/video-lectures/) - [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/) - [6.001 - Structure and Interpretation of Computer Programs, MIT](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video-lectures) ([Textbook](http://mitpress.mit.edu/sicp/full-text/book/book.html)) - [CS 50 - Introduction to Computer Science, Harvard University](https://cs50.harvard.edu/lectures) - [CS 61A - Structure and Interpretation of Computer Programs [Python], UC Berkeley](http://cs61a.org/) - [Lecture Resources by Type](http://cs61a.org/by_type.html) - [Lecture Resources by Topic](http://cs61a.org/by_topic.html) - [CS 101 - Computer Science 101, Stanford University](http://online.stanford.edu/course/computer-science-101-self-paced) (Register free to access Videos) - [CS 106A - Programming Methodology, Stanford University](http://see.stanford.edu/see/lecturelist.aspx?coll=824a47e1-135f-4508-a5aa-866adcae1111) - [CS 106B - Programming Abstractions, Stanford University](http://see.stanford.edu/see/lecturelist.aspx?coll=11f4f422-5670-4b4c-889c-008262e09e4e) - [CS 107 - Programming Paradigms, Stanford University](http://see.stanford.edu/see/lecturelist.aspx?coll=2d712634-2bf1-4b55-9a3a-ca9d470755ee) ------ ### Data Structures and Algorithms - [CS 61B - Data Structures, UC Berkeley](https://people.eecs.berkeley.edu/~jrs/61b/) - [Fall 2006 - Prof. Jonathan Shewchuk](https://www.youtube.com/playlist?list=PL4BBB74C7D2A1049C) - [Spring 16 - Josh Hug](http://datastructur.es/sp16/) - [6.006 - Introduction to Algorithms, MIT OCW](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/lecture-videos/) - [CSE 373 - Analysis of Algorithms, Stony Brook - Prof Skiena](http://www.cs.sunysb.edu/~algorith/video-lectures/) - [6.046J - Introduction to Algorithms - Fall 2005, MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/video-lectures/) - [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/) - [Programming Challenges - Prof Skiena](http://www.algorist.com/programming_challenges/) - [16s-4102 - Algorithms, University of Virginia](http://www.cs.virginia.edu/~shelat/16s-4102/) ([Youtube](https://www.youtube.com/channel/UCxXYk53cSZof2bR_Ax0uJYQ/videos)) - [CS 261 - A Second Course in Algorithms, Stanford University](http://theory.stanford.edu/~tim/w16/w16.html) ([Lectures](http://theory.stanford.edu/~tim/w16/w16.html)) ([Youtube](https://www.youtube.com/playlist?list=PLEGCF-WLh2RJh2yDxlJJjnKswWdoO8gAc)) - [CS 224 - Advanced Algorithms, Harvard University](http://people.seas.harvard.edu/~minilek/cs224/fall14/index.html) ([Lecture Videos](http://people.seas.harvard.edu/~minilek/cs224/fall14/lec.html)) ([Youtube](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf)) - [ECS 122A - Algorithm Design and Analysis, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs122f10/videolist.html) - [CS 6150 - Advanced Algorithms (Fall 2016), University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCp8X9FHOglnLqFjyvqGLftx) - [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)) --------------------------------- ### Systems - [6.033 Computer System Engineering - MIT](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-033-computer-system-engineering-spring-2009/video-lectures/) - [CS 162 - Operating Systems and Systems Programming, UC Berkeley](http://cs162.eecs.berkeley.edu/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c)) - [CS 4414 - Operating Systems, University of Virginia](http://rust-class.org/pages/classes.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)) - [CS 377 Fall 16: Operating Systems - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbDTmsCRGWsMW_PzIOpXnckw) - [6.828: Operating System Engineering [Fall 2014]](https://www.youtube.com/playlist?list=PLfciLKR3SgqNJKKIKUliWoNBBH1VHL3AP) - [VU:Distributed Systems: Principles and Paradigms by Maarten van Steen (Fall 2012), Vrije Universiteit, Amsterdam](http://www.distributed-systems.net/courses/ds/ds-screencasts/) - [CS 5530 - Database Systems, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCrercQNP9tTsjjPdgRVYvC7) - [15-721 - Database Systems, CMU](http://15721.courses.cs.cmu.edu/spring2016/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLSE8ODhjZXjbisIGOepfnlbfxeH7TW-8O)) - [CS 186 - Database Systems, UC Berkeley, Spring 2015](https://sites.google.com/site/cs186spring2015/home/schedule-and-notes) ([Lectures- YouTube](https://www.youtube.com/playlist?list=PL-XXv-cvA_iBVK2QzAV-R7NMA1ZkaiR2y)) - [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)) - [CS 677 Spring 16: Distributed Operating Systems - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbC68w0PW3huMHDDRNsDCTjp) - [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) - [CS194 Advanced Operating Systems Structures and Implementation, Spring 2013, UC Berkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iB_5Q8G8kW5idSwNmXypmQE) - [6.858 Computer Systems Security - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-858-computer-systems-security-fall-2014/video-lectures/) ------------------------------ ### Machine Learning - [StatLearning - Intro to Statistical Learning, Stanford University](https://lagunita.stanford.edu/courses/HumanitiesandScience/StatLearning/Winter2015/about) - [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html) - [10-601 - Machine Learning, Carnegie Mellon University](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) - [Microsoft Research - Machine Learning Course](https://www.youtube.com/playlist?list=PL34iyE0uXtxo7vPXGFkmm6KbgZQwjf9Kf) - [CS 446 - Machine Learning, Fall 2016, UIUC](http://l2r.cs.illinois.edu/~danr/Teaching/CS446-16/schedule.html)([Fall 2015 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91n10wPxeRh-45-8HATwc8W)) - [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://www.youtube.com/playlist?list=PLA89DCFA6ADACE599) - [CS 5140/6140 - Data Mining, Spring 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB)) - [CS 5350/6350 - Machine Learning, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B) - [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut) - [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI) - [DS-GA 1008 - Deep Learning, New York University](http://cilvr.cs.nyu.edu/doku.php?id=deeplearning2015:schedule) - [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://www.ischool.berkeley.edu/newsandevents/audiovideo/webcast/21963) - [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/) - [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu) - [10-701 Machine Learning - Tom Mitchell, Spring 2011, Carnegie Mellon University](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) - [10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU](http://www.stat.cmu.edu/~larry/=sml/) - [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](http://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html) - [36-705 - Intermediate Statistics - Larry Wasserman, CMU](http://www.stat.cmu.edu/~larry/=stat705/) - [CS 224d - Deep Learning for Natural Language Processing, Stanford University](http://cs224d.stanford.edu/syllabus.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLCJlDcMjVoEdtem5GaohTC1o9HTTFtK7_)) - [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)) - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PLLvH2FwAQhnpj1WEB-jHmPuUeQ8mX-XXG) - [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page) ------- ###Artificial Intelligence - [CS 188 - Introduction to Artificial Intelligence, UC Berkeley](http://ai.berkeley.edu/home.html) - [6.034 Artificial Intelligence, MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/) ------- ### Computer Graphics - [CAP 5415 - Computer Vision, University of Central Florida](http://crcv.ucf.edu/videos/Lecture_Videos/) - [CS 5630/6630 - Visualization, Fall 2016, University of Utah](http://dataviscourse.net/2016/index.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0)) ------- ### Misc - [CS 193a - Android App Development, Spring 2016, Stanford University](http://web.stanford.edu/class/cs193a/lectures.shtml) - [Skiena's Computational Biology Lectures](http://www.algorist.com/computational_biology/) - [Skiena's Computational Finance Lectures](http://www.algorist.com/computational_finance/index.html) - [AM 207 - Monte Carlo Methods and Stochastic Optimization, Harvard University](http://am207.github.io/2016/index.html) - [CS 193p - Developing Applications for iOS, Stanford University](https://itunes.apple.com/us/course/developing-ios-7-apps-for/id733644550) - [CS 223A - Introduction to Robotics, Stanford University](http://see.stanford.edu/see/courseinfo.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743) - [CS 411 - Software Architecture Design, Bilkent University](http://video.bilkent.edu.tr/course_videos.php?courseid=10) - [CS 3152 - Introduction to Computer Game Development, Cornell University](http://www.cs.cornell.edu/courses/CS3152/2014sp/lectures/index.php) - [Open Sourced Elective: Database and Rails - Intro to Ruby on Rails, University of Texas](http://www.schneems.com/ut-rails/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PL7A85FD7803A8CB1F)) - [SCICOMP - An Introduction to Efficient Scientific Computation, Universität Bremen](http://mlecture.uni-bremen.de/ml/index.php?option=com_content&view=article&id=233) ([Lectures - Youtube](https://www.youtube.com/user/fillwithlight/videos)) -------------------------