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.
- [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)
- [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/)
- [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/)
- [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))
- [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))
- [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)
- [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)
- [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/)
- [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))
- [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page)
- [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/)
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### 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))
- [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))
