- [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/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/lecture-videos/)
- [6.001 - Structure and Interpretation of Computer Programs, MIT](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video-lectures)
- [CPSC 110 - Systematic Program Design [Racket], University of British Columbia](https://www.youtube.com/channel/UC7dEjIUwSxSNcW4PqNRQW8w/playlists?view=1&flow=grid&sort=da)
- [CSE 142 Computer Programming I (Java Programming), Spring 2016 - University of Washington](https://courses.cs.washington.edu/courses/cse142/16sp/calendar.shtml)
- [CmSc 150 - Introduction to Programming with Arcade Games, Simpson College](http://ProgramArcadeGames.com)
- [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/)
- [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://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/)
- [Modern C++ (Lecture & Tutorials, 2020, Vizzo & Stachniss) - University of Bonn](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRM59sr3nSL8BmeMZR9GCIA)
- [6.006 - Introduction to Algorithms, MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-fall-2011/lecture-videos/)
- [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))
- [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))
- [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/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/)
- [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 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))
- [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/)
- [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)
- [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)
- [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))
- [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)
- [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))
- [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))
- [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/)
- [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)
- [CSEP 544, Database Management Systems, Au 2015 - University of Washington](https://www.youtube.com/playlist?list=PLTPQEx-31JXjQYrUKvAjUTWgCYluHGs_L)
- [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))
- [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)
- [Introduction to Service Design and Engineering - University of Trento, Italy](https://www.youtube.com/playlist?list=PLBdajHWwi0JCn87QuFT3e58mekU0-6WUT)
- [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/)
- [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://itunes.apple.com/us/course/developing-ios-9-apps-swift/id1104579961)
- [CS S-76 Building Mobile Applications - Harvard](http://cs76.tv/2013/summer/)
- [CSE 592 Applications of Artificial Intelligence, Winter 2003 - University of Washington](https://courses.cs.washington.edu/courses/csep573/03wi/lectures/index.htm)
- [Graduate Course in Artificial Intelligence, Autumn 2012 - University of Washington](https://www.youtube.com/playlist?list=PLbQ3Aya0VERDoDdbMogU9EASJGWris9qG)
- [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)
- [MOOC Machine Learning Andrew Ng - Coursera/Stanford](https://www.youtube.com/playlist?list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN) ([Notes](http://www.holehouse.org/mlclass/))
- [Introduction to Machine Learning for Coders](https://course.fast.ai/ml.html)
- [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))
- [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk)
- [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)
- [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)
- [Python and machine learning - Stanford Crowd Course Initiative](https://www.youtube.com/playlist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB)
- [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))
- [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/)
- [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 2016, University of Utah](https://www.cs.utah.edu/~jeffp/teaching/cs5140.html) ([Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpXfb43Wvc7s5fXWzedwTPB))
- [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)
- [Data 8: The Foundations of Data Science - UC Berkeley](http://data8.org/) ([Summer 17](http://data8.org/su17/))
- [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/)
- [Distributed Data Analytics (WT 2017/18) - HPI University of Potsdam](https://www.tele-task.de/series/1179/)
- [Statistics 133 - Concepts in Computing with Data, Fall 2013 - UC Berkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iDsSPnMJlnhIyADGUmikoIO)
- [Data Profiling and Data Cleansing (WS 2014/15) - HPI University of Potsdam](https://www.tele-task.de/series/1027/)
- [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
- [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/)
- [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)
- [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)
- [STAT-157 Deep Learning 2019 - UC Berkeley](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW)
- [Deep Unsupervised Learning -- Berkeley Spring 2020](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP)
- [Stat 946 Deep Learning - University of Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
- [Neural networks class - Université de Sherbrooke](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) ([YouTube](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))
- [CS294-158 Deep Unsupervised Learning SP19](https://www.youtube.com/channel/UCf4SX8kAZM_oGcZjMREsU9w/videos)
- [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)
- [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))
- [Deep RL Bootcamp - Berkeley Aug 2017](https://sites.google.com/view/deep-rl-bootcamp/lectures)
- [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))
- [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 124 - From Languages to Information - Stanford University](https://www.youtube.com/channel/UC_48v322owNVtORXuMeRmpA/playlists?view=50&sort=dd&shelf_id=2)
- [MOOC - Natural Language Processing, Dan Jurafsky & Chris Manning - Coursera](https://www.youtube.com/playlist?list=PL6397E4B26D00A269)
- [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)
- [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)
- [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))
- [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)
- [Computational Cognitive Science 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ccs.htm)
- [Accelerated Natural Language Processing 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/anlp.htm)
- [Natural Language Processing - IIT Bombay](https://nptel.ac.in/courses/106101007/)
- [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https://nptel.ac.in/courses/108/105/108105103/)
- [EE364a: Convex Optimization I - Stanford University](http://web.stanford.edu/class/ee364a/videos.html)
- [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))
- [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/)
- [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page)
- [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)
- [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))
- [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/))
- [Introduction to Data Communications 2013, Steven Gordon - Thammasat University, Thailand](https://www.youtube.com/playlist?list=PLvifRcqOOwF8u4iC7hFTMVC_WD6SEpnkx)
- [6.042J - Mathematics for Computer Science, Fall 2010, MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/video-lectures/) ([Spring 15](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-spring-2015/index.htm))
- [Computer Science 70, 001 - Spring 2015](https://www.youtube.com/playlist?list=-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy)
- [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](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/dmmr.htm)
- [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/)
- [Statistics 110 - Probability - Harvard University](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)
- [Statistical Rethinking: A Bayesian Course Using R and Stan](https://github.com/rmcelreath/statrethinking_winter2019) ([Lectures - Aalto University](https://aalto.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx#folderID=%22f0ec3a25-9e23-4935-873b-a9f401646812%22)) ([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))
- [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/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video-lectures/)
- [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/))
- [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/)
- [Mathematics for Machine Learning, Lectures by Ulrike von Luxburg - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
- [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))
- [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/))
- [Internet Technologies and Applications 2012, Steven Gordon - Thammasat University, Thailand](https://www.youtube.com/playlist?list=PLvifRcqOOwF9cfLMTE-42fiBsWvBsOEkS)
- [CSC 253 - CPython internals: A ten-hour codewalk through the Python interpreter source code, University of Rochester](http://pgbovine.net/cpython-internals.htm)
- [CS581 Theory of Computation - Portland State University](http://web.cecs.pdx.edu/~harry/videos/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbtzT1TYeoMjNOGEiaRmm_vMIwUAidnQz))
- [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))
- [MOOC - Functional Programming Principles in Scala by Martin Odersky](https://www.youtube.com/user/afigfigueira/playlists?sort=dd&view=50&shelf_id=9)
- [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_))
- [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 Embedded Systems - Fall 2014 - UCBerkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iDq3FCoYLeUL-X-NUlT405n)
- [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/)
- [CSE 438/598 Embedded Systems Programming ASU](http://rts.lab.asu.edu/web_438_Fall_2014/CSE438_Fall2014_Main_page.htm)
- [Summer Short Course on Embedded Systems Programming](http://rts.lab.asu.edu/web_ESP_Summer2014/ESP_Main_page.htm)
- [Internet of Things by Prof. Dr.-Ing. Dietmar P. F. Möller](https://video.tu-clausthal.de/vorlesung/408.html)
- [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/CS 5780/6780 - Embedded Systems Design, Spring 14 - University of Utah](https://www.youtube.com/playlist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)
- [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)
- [ELEC2142 - Embedded Systems Design - UNSW](http://eemedia.ee.unsw.edu.au/ELEC2142/index.htm)
- [Software Engineering for Embedded Systems (WS 2011/12) - HPI University of Potsdam](https://www.tele-task.de/series/864/)
- [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__)
- [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))
- [INFORMATICS 2C - INTRODUCTION TO COMPUTER SYSTEMS (AUTUMN 2016) - University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/inf2c-cs.htm)
- [18-447 - Introduction to Computer Architecture, CMU](http://www.ece.cmu.edu/~ece447/s14/doku.php?id=schedule) ([Lectures - YouTube - Fall 15](https://www.youtube.com/playlist?list=PL5PHm2jkkXmgVhh8CHAu9N76TShJqfYDt))
- [CS 152 Computer Architecture and Engineering, UC Berkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIwEiwQx1dACXwh-2Fuo32qr)
- [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)
- [MOOC - From NAND to Tetris - Building a Modern Computer From First Principles](https://www.nand2tetris.org/) ([YouTube](https://www.youtube.com/playlist?list=PLNMIACtpT9BfztU0P92qlw8Gd4vxvvfT1))
- [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/)
- [CSEP590A - Practical Aspects of Modern Cryptography, Winter 2011 - University of Washington](https://courses.cs.washington.edu/courses/csep590a/11wi/) ([Videos](https://courses.cs.washington.edu/courses/csep590a/11wi/video/))
- [CS461/ECE422 - Computer Security - University of Illinois at Urbana-Champaign](https://courses.engr.illinois.edu/cs461/sp2016/) ([Videos](https://recordings.engineering.illinois.edu:8443/ess/portal/section/8a560718-345a-417a-b665-6bd375a71ee2))
- [Introduction to Cryptography, Christof Paar - Ruhr University Bochum, Germany](https://www.youtube.com/playlist?list=PLwJWuZfL_Ga2KJrTf9hOIgAQWkSpn9RNm)
- [ECS235B Foundations of Computer and Information Security - UC Davis](https://itunes.apple.com/us/itunes-u/computer-science-foundations/id389259109)
- [IT Security, Steven Gordon - Thammasat University, Thailand](https://www.youtube.com/playlist?list=PLvifRcqOOwF9-XSGfm-3uA9DfF7plasCF)
- [Security and Cryptography, Steven Gordon - Thammasat University, Thailand](https://www.youtube.com/playlist?list=PLvifRcqOOwF-z2sfMb3w0uQzd7PfaLFlU)
- [CS 5630/6630 - Visualization, Fall 2016, University of Utah](http://dataviscourse.net/2016/index.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0))
- [CAP 5415 - Computer Vision - University of Central Florida](https://www.crcv.ucf.edu/courses/cap5415-fall-2012/)([Video Lectures](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImKP68wfKZJVIPTd8Ie5u-9))
- [EE225B - Digital Image Processing, Spring 2014 - UC Berkeley](https://inst.eecs.berkeley.edu/~ee225b/sp14/) ([Videos - Spring 2006](http://www-video.eecs.berkeley.edu/~avz/video_225b.html))
- [CAP 6412 - Advanced Computer Vision - University of Central Florida](https://www.crcv.ucf.edu/cap6412-spring-2013/)([Video lectures](https://www.crcv.ucf.edu/cap6412-spring-2013/)) ([Spring 2018](https://www.youtube.com/playlist?list=PLd3hlSJsX_ImoNaeX5vFrxogGXTSmS993))
- [3D Coordinate Systems – Remote Course (GE, 2020) - University of Bonn](https://www.ipb.uni-bonn.de/3dcs-ge-2020/) ([2013 lectures](https://www.ipb.uni-bonn.de/teaching/3d-coordinate-systems-podcasts/))
- [Modern C++ Course For CV (2020) - University of Bonn](https://www.ipb.uni-bonn.de/teaching/cpp-2020/lectures)
- [Photogrammetry 1 Course – 2020 - University of Bonn](https://www.ipb.uni-bonn.de/photo1-2020/)
- [Photogrammetry II Course 2020/21 - University of Bonn](https://www.ipb.uni-bonn.de/photo2-2020/)
- [ECS 124 - Foundations of Algorithms for Bioinformatics - Dan Gusfield, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs124videos/videolist.html) ([YouTube](https://www.youtube.com/playlist?list=PL_w_qWAQZtAbh8bHfzXYpdnVKCGCDmmoL))
- [6.802J/ 6.874J Foundations of Computational and Systems Biology - MIT OCW](https://ocw.mit.edu/courses/biology/7-91j-foundations-of-computational-and-systems-biology-spring-2014/video-lectures/)
- [6.047/6.878 Public Lectures on Computational Biology: Genomes, Networks, Evolution - MIT](http://compbio.mit.edu/lectures.html)
- [Robotics 1, Prof. De Luca, Università di Roma](http://www.dis.uniroma1.it/~deluca/rob1_en/material_rob1_en_2014-15.html) ([YouTube](https://www.youtube.com/playlist?list=PLAQopGWlIcyaqDBW1zSKx7lHfVcOmWSWt))
- [Robotics 2, Prof. De Luca, Università di Roma](http://www.diag.uniroma1.it/~deluca/rob2_en/material_rob2_en.html) ([YouTube](https://www.youtube.com/playlist?list=PLAQopGWlIcya6LnIF83QlJTqvpYmJXnDm))
- [MOOC - Mathematical Methods for Quantitative Finance, University of Washington/Coursera)](http://academictorrents.com/details/dfc1ddde962101f00ef9764b91181bd6bb5c9e93)
- [18.S096 Topics in Mathematics with Applications in Finance, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013/video-lectures/)
- [Computational Finance - Universität Leipzig](https://www.youtube.com/playlist?list=PL4i4aZbplv9J5jan6mDbDHtjfm7ghMWfj)
- [Machine Learning for Trading | Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnIRwl6rad_mYwEk4Gmj7Mx)
- [ACT 460 / STA 2502 – Stochastic Methods for Actuarial Science - University of Toronto](http://www.utstat.utoronto.ca/sjaimung/courses/sta2502/main.htm)
- [MMF1928H / STA 2503F –
Pricing Theory I / Applied Probability for Mathematical Finance - University of Toronto](http://www.utstat.toronto.edu/sjaimung/courses/mmf1928/content2013.htm)
- [Blockchain for Developers Decal - Spring 2018 - Berkeley DeCal](https://www.youtube.com/playlist?list=PLSONl1AVlZNUzp71_H1kb87PvIh8kIZU9)
- [Cryptocurrency Engineering and Design - Spring 2018 - MIT](https://ocw.mit.edu/courses/media-arts-and-sciences/mas-s62-cryptocurrency-engineering-and-design-spring-2018/lecture-videos/)
- [15.S12 Blockchain and Money, Fall 2018 - MIT](https://www.youtube.com/playlist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn)
- [Blockchain - Foundations and Use Cases](https://www.coursera.org/learn/blockchain-foundations-and-use-cases/home/welcome)
- [CS147 - Introduction to Human-Computer Interaction Design - Stanford](https://hci.stanford.edu/courses/cs147/2015/au/calendar.php)
- [CSEP 510 - Human Computer Interaction](https://courses.cs.washington.edu/courses/csep510/04wi/)
- [Programming for Designers - COMP1400-T2 (2010) - UNSW](https://www.youtube.com/playlist?list=PL9444191613E018CC)
- [08-763 Intro to HCI for Technology Executives - Fall 2015 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%228bb9f417-9f60-4e00-84f6-4ef8e7425ae1%22&maxResults=150)
- [05-600 HCI Pro Seminar - Fall 2015 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22d885fd87-1ba1-47a3-9bd2-c4bde55f9749%22&maxResults=150)
- [MIT CMS.611J Creating Video Games, Fall 2014](https://ocw.mit.edu/courses/comparative-media-studies-writing/cms-611j-creating-video-games-fall-2014/lecture-videos/)
- [MOOC - Beginning Game Programming with C# - Coursera](http://academictorrents.com/details/0a7ba7e62821e488a0061751fdb81f4298733bea)
- [SCICOMP - An Introduction to Efficient Scientific Computation, Universität Bremen](http://mlecture.uni-bremen.de/ml/index.php?option=com_content&view=article&id=233)
- [CS 195 - Social Implications of Computing, Spring 2015 - UC Berkeley](http://inst.eecs.berkeley.edu/~cs195/sp15/) ([YouTube](https://www.youtube.com/playlist?list=PL-XXv-cvA_iAmCxqGV1Px2pKchYfozH-e))
- [Spatial Databases and Geographic Information Systems - Technische Universität Braunschweig, Germany (in German)](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/gis)
