Feed|Contact
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+## Computer Science courses with video lectures
+
+**Introduction**
+
+- Please check [NOTES](https://github.com/Developer-Y/cs-video-courses/blob/master/NOTES.md) for general information about this list.
+- Please refer [CONTRIBUTING.md](https://github.com/Developer-Y/cs-video-courses/blob/master/CONTRIBUTING.md) for contribution guidelines.
+------------------------------
+
+Table of Contents
+------------------------------
+
+
+- [Introduction to Computer Science](#introduction-to-computer-science)
+- [Data Structures and Algorithms](#data-structures-and-algorithms)
+- [Systems Programming](#systems-programming)
+- [Database Systems](#database-systems)
+- [Software Engineering](#software-engineering)
+- [Artificial Intelligence](#artificial-intelligence)
+- [Machine Learning](#machine-learning)
+- [Web Programming and Internet Technologies](#web-programming-and-internet-technologies)
+- [Computer Networks](#computer-networks)
+- [Math for Computer Scientist](#math-for-computer-scientist)
+- [Theoretical CS and Programming Languages](#theoretical-cs-and-programming-languages)
+- [Embedded Systems](#embedded-systems)
+- [Computer Organization and Architecture](#computer-organization-and-architecture)
+- [Security](#security)
+- [Computer Graphics](#computer-graphics)
+- [Image Processing and Computer Vision](#image-processing-and-computer-vision)
+- [Computational Biology](#computational-biology)
+- [Quantum Computing](#quantum-computing)
+- [Robotics](#robotics)
+- [Computational Finance](#computational-finance)
+- [Misc](#misc)
+
+Courses
+------------------------------
+
+### Introduction to Computer Science
+
+- [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)
+- [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/))
+- [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) ([Lecture Videos](https://www.youtube.com/playlist?list=PLnfg8b9vdpLn9exZweTJx44CII1bYczuk))
+- [CS 106X - Programming Abstractions in C++](http://web.stanford.edu/class/cs106x/) ([Lecture Videos](https://www.youtube.com/playlist?list=PLrivl8gTKLcpIJ-ktHCxMEgWOn8LawYhb))
+- [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)
+- [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://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++ 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)
+
+------
+
+### DataStructuresandAlgorithms
+
+- [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/)
+- [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 - Richard Buckland - UNSW](https://www.youtube.com/playlist?list=PLE621E25B3BF8B9D1)
+- [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/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 170 Algorithms - UCBerkeley](https://cs170.org/) [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/)
+- [ECS 122A - Algorithm Design and Analysis, UC Davis](http://web.cs.ucdavis.edu/~gusfield/cs122f10/videolist.html)
+- [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))
+- [Informatics 2B - Algorithms, Data Structures and Learning- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2013/inf2b-adsl.htm)
+- [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))
+- [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)
+- [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/)
+
+---------------------------------
+
+### Systems Programming
+
+-
15-213 Introduction to Computer Systems, Fall 2015 - CMU[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)
+-
CS361 - COMPUTER SYSTEMS - UIC [CS361 - COMPUTER SYSTEMS - UIC](https://www.cs.uic.edu/CS361fall13)
+-
[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/)
+- **Operating Systems**
+ -
[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))
+ -
[CS 377 - Operating Systems, Fall 16 - Umass OS](https://www.youtube.com/playlist?list=PLacuG5pysFbDTmsCRGWsMW_PzIOpXnckw)
+ -
[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/view_play_list?p=AB7D5CA7E262B0E2)
+ -
[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)
+- **Distributed Systems**
+ -
[CS 677 - Distributed Operating Systems, Spring 16 - 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)
+ -
[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 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/)
+- **Real-Time Systems**
+ -
CPCS 663 - Real-Time Systems: Video Material - TAMU [CPCS 663 - Real-Time Systems: Video Material - TAMU](http://faculty.cs.tamu.edu/bettati/Courses/663/Video/presentation.html)
+ -
Real Time Systems - IIT Kharagpur [Real Time Systems - IIT Kharagpur](https://nptel.ac.in/courses/106105036/)
+-
6.172 Performance Engineering of Software Systems - MIT OCW [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 [Performance Evaluation of Computer Systems - IIT Madras](https://nptel.ac.in/courses/106106048/)
+-
Storage Systems - IISC Bangalore [Storage Systems - IISC Bangalore](https://nptel.ac.in/courses/106108058/)
+-
MAP6264 - Queueing Theory - FAU[MAP6264 - Queueing Theory - FAU](http://www.cse.fau.edu/~bob/courses/map6264/)([Video Lectures](https://vimeo.com/album/171324/))
+-
EE 380 Colloquim on Computer Systems - Stanford University [EE 380 Colloquim on Computer Systems - Stanford University](http://web.stanford.edu/class/ee380/) ([Lecture videos](https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu))
+
+
+------------------------------------------------------------
+
+
+### Database Systems
+
+-
CMPSC 431W Database Management Systems, Fall 2015 - Penn State University [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)
+
CMPSC 431W Database Management Systems, Fall 2015 - Penn State University
+-
CS121 - Introduction to Relational Database Systems, Fall 2016 - Caltech [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 [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 [Distributed Data Management (WT 2018/19) - HPI University of Potsdam](https://www.tele-task.de/series/1224/)
+-
MOOC - Database Stanford Dbclass [MOOC - Database Stanford Dbclass](https://www.youtube.com/playlist?list=PL6hGtHedy2Z4EkgY76QOcueU8lAC4o6c3)
+-
CSEP 544, Database Management Systems, Au 2015 - University of Washington [CSEP 544, Database Management Systems, Au 2015 - University of Washington](https://www.youtube.com/playlist?list=PLTPQEx-31JXjQYrUKvAjUTWgCYluHGs_L)
+-
Database Design - IIT Madras [Database Design - IIT Madras](https://nptel.ac.in/courses/106106093/)
+-
Fundamentals of Database Systems - IIT Kanpur [Fundamentals of Database Systems - IIT Kanpur](https://nptel.ac.in/courses/106104135/)
+-
Principles of Database Management, Bart Baesens [Principles of Database Management, Bart Baesens](https://www.youtube.com/playlist?list=PLdQddgMBv5zEhlpqdiUcf9aTNEtmESgyl)
+-
FIT9003 Database Systems Design - Monash University [FIT9003 Database Systems Design - Monash University](https://itunes.apple.com/us/podcast/fit9003-database-systems-design/id306569364)
+-
15-445 - Introduction to Database Systems, CMU [15-445 - Introduction to Database Systems, CMU](https://15445.courses.cs.cmu.edu/fall2018/) ([YouTube-2018](https://www.youtube.com/playlist?list=PLSE8ODhjZXja3hgmuwhf89qboV1kOxMx7), [YouTube-2017](https://www.youtube.com/playlist?list=PLSE8ODhjZXjYutVzTeAds8xUt1rcmyT7x), [YouTube-2019](https://www.youtube.com/playlist?list=PLSE8ODhjZXjbohkNBWQs_otTrBTrjyohi))
+
15-445 - Introduction to Database Systems, CMU-YouTube-playList-2018
+
15-445 - Introduction to Database Systems, CMU-YouTube-playList-2017
+
15-445 - Introduction to Database Systems, CMU-YouTube-playList-2019
+-
15-721 - Database Systems, CMU [15-721 - Database Systems, CMU](http://15721.courses.cs.cmu.edu/spring2017) ([YouTube-2017](https://www.youtube.com/playlist?list=PLSE8ODhjZXjYgTIlqf4Dy9KQpQ7kn1Tl0), [YouTube-2016](https://www.youtube.com/playlist?list=PLSE8ODhjZXjbisIGOepfnlbfxeH7TW-8O))
+
15-721 - Database Systems, CMU
+
15-721 - Database Systems, CMU-YouTube-playList-2017
+
15-721 - Database Systems, CMU-YouTube-playList-2018
+-
15-721 Advanced Database Systems (Spring 2019) - CMU [15-721 Advanced Database Systems (Spring 2019) - CMU](https://www.youtube.com/playlist?list=PLSE8ODhjZXja7K1hjZ01UTVDnGQdx5v5U)
+-
CS122 - Relational Database System Implementation, Winter 2014-2015 - Caltech [CS122 - Relational Database System Implementation, Winter 2014-2015 - Caltech](http://users.cms.caltech.edu/~donnie/cs122/)
+-
CS 186 - Database Systems, UC Berkeley, Spring 2015 [CS 186 - Database Systems, UC Berkeley, Spring 2015](https://sites.google.com/site/cs186spring2015/home/schedule-and-notes) ([Lectures- InfoCoBuild](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs186-spring2015-berkeley.html))
+https://sites.google.com/site/cs186spring2015/home/schedule-and-notes
+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 [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 6530 - Graduate-level Database Systems, Fall 2016, University of Utah-YouTube PlayList
+-
6.830/6.814 - Database Systems [Fall 2014] [6.830/6.814 - Database Systems [Fall 2014]](https://www.youtube.com/playlist?list=PLfciLKR3SgqOxCy1TIXXyfTqKzX2enDjK)
+-
Informatics 1 - Data & Analysis 2014/15- University of Edinburgh [Informatics 1 - Data & Analysis 2014/15- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2014/da.htm)
+-
Database Management Systems, Aduni [Database Management Systems, Aduni](http://aduni.org/courses/databases/index.php?view=cw)
+-
D4M - Signal Processing on Databases [D4M - Signal Processing on Databases](https://ocw.mit.edu/resources/res-ll-005-d4m-signal-processing-on-databases-fall-2012/)
+-
In-Memory Data Management (2013)Prof. Hasso Plattner - HPI [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 [Distributed Data Management (WT 2019/20) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1285/)
+
+
+------------------------------
+
+### Software Engineering
+
+- **Object Oriented Design**
+ - [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/course?list=EC0C5D85DBA20E685C)
+ - [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)
+- **Software Engineering**
+ - [Computer Science 169- Software Engineering - Spring 2015 - UCBerkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iCfQHHS7rxlfHFsU4aQW1IF)
+ - [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](http://cs164.tv/2014/spring/)
+ - [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/)
+ - [Software Testing - IIT Kharagpur](https://nptel.ac.in/courses/106105150/)
+ - [Software Engineering - Bauhaus-Uni Weimar](https://www.youtube.com/watch?v=jouBM4AH0jw&list=PLjEglKdMOevU2STTGq79duxTXDFuO-k1H&index=2)
+- **Software Architecture**
+ - [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)
+- **Concurrency**
+ - [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/)
+- **Mobile Application Development**
+ - [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/)
+ - [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)
+
+------------------------------
+
+### Artificial Intelligence
+- [CS50 - Introduction to Artificial Intelligence with Python (and Machine Learning), Harvard OCW](https://cs50.harvard.edu/ai/2020/)
+- [CS 188 - Introduction to Artificial Intelligence, UC Berkeley - Spring 2015](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs188-spring2015-berkeley.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/)
+- [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 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 - 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)
+
+--------------
+
+### Machine Learning
+
+- **Introduction to Machine Learning**
+ - [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)
+ - [MOOC - Statistical Learning, Stanford University](http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/)
+ - [Foundations of Machine Learning Boot Camp, Berkeley Simons Institute](https://www.youtube.com/playlist?list=PLgKuh-lKre11GbZWneln-VZDLHyejO7YD)
+ - [CS155 - Machine Learning & Data Mining, 2017 - Caltech](https://www.youtube.com/playlist?list=PLuz4CTPOUNi6BfMrltePqMAHdl5W33-bC) ([Notes](http://www.yisongyue.com/courses/cs155/2017_winter/)) ([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))
+ - [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)
+ - [CS 446 - Machine Learning, Spring 2019, UIUC](https://courses.engr.illinois.edu/cs446/sp2019/AGS/_site/)([ Fall 2016 Lectures](https://www.youtube.com/playlist?list=PLQcasX5-oG91TgY6A_gz-IW7YSpwdnD2O))
+ - [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/)
+ - [CPSC 340: Machine Learning and Data Mining (2018) - UBC](https://www.youtube.com/playlist?list=PLWmXHcz_53Q02ZLeAxigki1JZFfCO6M-b)
+ - [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, Fall 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCozRSsdueVwX7CF9N4QWL0B)
+ - [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)
+ - [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)
+ - [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))
+ - [Machine Learning and Pattern Recognition 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/mlpr.htm)
+ - [Introductory Applied Machine Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/iaml.htm)
+ - [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/)
+ - [10715 Advanced Introduction to Machine Learning](https://sites.google.com/site/10715advancedmlintro2017f/lectures)
+ - [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)
+ - [Advanced Machine Learning - 2019 - ETH Zürich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwSe98pzMGVR4bjAZZYrNT7L)
+ - [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/)
+- **Data Mining**
+ - [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)
+ - [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))
+ - [Data Mining: Learning From Large Datasets - Fall 2017 - ETH Zurich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwRHZO6L6yT253VPgrZazQs6)
+ - [Information Retrieval - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn)
+ - [CAP6673 - Data Mining and Machine Learning - FAU](http://www.cse.fau.edu/~taghi/classes/cap6673/)([Video lectures](https://vimeo.com/album/1505953))
+ - [Data Warehousing and Data Mining Techniques - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/dwh)
+- **Data Science**
+ - [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/)
+ - [Data 100 - Summer 19- UC Berkeley](https://www.youtube.com/playlist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR)
+ - [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/)
+- **Probabilistic Graphical Modeling**
+ - [MOOC - Probabilistic Graphical Models - Coursera](https://www.youtube.com/playlist?list=PLvfF4UFg6Ejj6SX-ffw-O4--SPbB9P7eP)
+ - [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 Models - UNIVERSITY OF HELSINKI](https://www.cs.helsinki.fi/en/courses/582636/2015/K/K/1)
+ - [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm)
+ - [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
+- **Deep Learning**
+ - [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
+ - [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
+ - [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/)
+ - [Part 2: Deep Learning from the Foundations - fast.ai](https://course.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)
+ - [Full Stack DL Bootcamp 2019 - UC Berkeley](https://www.youtube.com/playlist?list=PL_Ig1a5kxu5645uORPL8xyvHr91Lg8G1l)
+ - [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)
+ - [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)
+ - [Nvidia Machine Learning Class](https://www.youtube.com/playlist?list=PLTIkHmXc-7an8xbwhAJX-LQ4D4Uf-ar5I)
+ - [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
+- **Reinforcement Learning**
+ - [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
+ - [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
+ - [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
+ - [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)
+ - [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
+ - [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))
+ - [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)
+- **Advanced Machine Learning**
+ - [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)
+ - [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))
+- **ML based Natural Language Processing and Computer Vision**
+ - [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 224N - Natural Language Processing, Stanford University](http://web.stanford.edu/class/cs224n/) ([Lecture videos](https://www.youtube.com/playlist?list=PLgtM85Maly3n2Fp1gJVvqb0bTC39CPn1N))
+ - [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)
+ - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
+ - [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/)
+ - [CS 11-747 - Neural Nets for NLP - 2019 - CMU](https://www.youtube.com/playlist?list=PL8PYTP1V4I8Ajj7sY6sdtmjgkt7eo2VMs)
+ - [Natural Language Processing - Michael Collins - Columbia University](https://www.youtube.com/playlist?list=PLA212ij5XG8OTDRl8IWFiJgHR9Ve2k9pv)
+ - [Deep Learning for Computer Vision - University of Michigan](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
+ - [CMU CS11-737 - Multilingual Natural Language Processing](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)
+- **Time Series Analysis**
+ - [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)
+- **Misc Machine Learning Topics**
+ - [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)
+ - [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)
+ - [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)
+ - [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))
+ - [Reinforcement Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/rl.htm)
+ - [Reinforcement Learning - IIT Madras](https://nptel.ac.in/courses/106106143/)
+ - [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)
+ - [Music Information Retrieval - University of Victoria, 2014](http://marsyas.cs.uvic.ca/mirBook/course/)
+ - [PURDUE Machine Learning Summer School 2011](https://www.youtube.com/playlist?list=PL2A65507F7D725EFB)
+ - [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)
+ - [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
+ - [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/)
+
+
+------------------------------
+
+
+### Computer Networks
+- [14-740 - Fundamentals of Computer Networks - CMU](http://www.ini740.com/)
+- [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=PLvFG2xYBrYAQCyz4Wx3NPoYJOFjvU7g2Z))
+- [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/))
+- [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)
+- [Structural Analysis and Visualization of Networks](http://www.leonidzhukov.net/hse/2015/networks/)
+- [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)
+
+
+
+-------------------------
+
+### Math for Computer Scientist
+- [List of Science & Math courses with video lectures](https://github.com/Developer-Y/math-science-video-lectures)
+- [Maths courses all topics covered](https://www.khanacademy.org/math/)
+- **Calculus**
+ - [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/)
+- **Discrete Math**
+ - [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)
+ - [Discrete Mathematical Structures - IIT Madras](https://nptel.ac.in/courses/106106094/)
+ - [Discrete Structures - Pepperdine University](https://itunes.apple.com/us/course/discrete-structures/id546468789)
+- **Probability & Statistics**
+ - [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)
+ - [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 - 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))
+- **Linear Algebra**
+ - [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/)
+ - [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))
+- [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/)
+- [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)
+- [Mathematics for Machine Learning, Lectures by Ulrike von Luxburg - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij1a6KdEy8PVE9zoCv6SlHRS)
+
+
+-------------------------
+
+### Web Programming and Internet Technologies
+- [Web Design Decal - HTML/CSS/JavaScript Course, University of California, Berkeley](http://live.wdd.io/)
+- [CS 75 Building Dynamic Websites - Harvard University](http://cs75.tv/2012/summer/)
+- [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))
+- [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)
+
+---------------------------
+
+
+### Theoretical CS and Programming Languages
+
+- [MOOC - Compilers - Stanford University](https://archive.org/details/academictorrents_e31e54905c7b2669c81fe164de2859be4697013a)
+- [CS 164 Hack your language, UC Berkeley](https://sites.google.com/a/bodik.org/cs164/home) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PL3A16CFC42CA6EF4F))
+- [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 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](http://pgbovine.net/cpython-internals.htm)
+- [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))
+- [Philip Wadler Haskell lecture recordings](https://www.youtube.com/playlist?list=PLtRG9GLtNcHBv4cuh2w1cz5VsgY6adoc3)
+- [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)
+- [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)
+- [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/)
+
+-------------------------------
+
+### Embedded Systems
+ - [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 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)
+ - [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 Univesrity 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 Univesrity 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/)
+ - [EE402 - Object-oriented Programming with Embedded Systems](http://ee402.eeng.dcu.ie/lecture-videos)
+ - [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/)
+
+
+
+
+-------------------------------
+
+
+
+### Computer Organization and Architecture
+- **Computer Organization**
+ - [How Computers Work - Aduni](http://aduni.org/courses/hcw/index.php?view=cw)
+ - [CS 61C - Machine Structures, UC Berkeley](http://www-inst.eecs.berkeley.edu/~cs61c/sp15/) ([Lectures - InfoCoBuild](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)
+- **Computer Architecture**
+ - [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)
+ - [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/)
+- **Parallel Computer Architecture**
+ - [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 16 - UC Berkeley](https://people.eecs.berkeley.edu/~demmel/cs267_Spr16/) ([YouTube](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)
+ - [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)
+- **Digital Systems Design**
+ - [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)
+- [CS1 - Higher Computing - Richard Buckland UNSW](https://www.youtube.com/playlist?list=PL6B940F08B9773B9F)
+- [MOOC - From NAND to TetrisBuilding a Modern Computer From First Principles](https://www.nand2tetris.org/) ([YouTube](https://www.youtube.com/playlist?list=PLNMIACtpT9BfztU0P92qlw8Gd4vxvvfT1))
+- [System Validation, TU Delft](https://ocw.tudelft.nl/courses/system-validation/)
+- [High Performance Computing - IISC Bangalore](https://nptel.ac.in/courses/106108055/)
+- [Introduction to ARM - Open SecurityTraining](https://www.youtube.com/playlist?list=PLUFkSN0XLZ-n91t_AX5zO007Giz1INwPd)
+- [Intro x86 (32 bit) - Open SecurityTraining](https://www.youtube.com/playlist?list=PL038BE01D3BAEFDB0)
+- [Intermediate x86 (32 bit) - Open SecurityTraining](https://www.youtube.com/playlist?list=PL8F8D45D6C1FFD177)
+- [Design of Digital Circuits - ETH Zürich - Spring 2019](https://www.youtube.com/playlist?list=PL5Q2soXY2Zi8J58xLKBNFQFHRO3GrXxA9)
+- [Onur Mutlu @ TU Wien 2019 - Memory Systems](https://www.youtube.com/playlist?list=PL5Q2soXY2Zi_gntM55VoMlKlw7YrXOhbl)
+- [Memory Systems Course - Technion, Summer 2018](https://www.youtube.com/playlist?list=PL5Q2soXY2Zi-IymxXpH_9vlZCOeA7Yfn9)
+
+
+-------
+
+### Security
+- [Internet Security (WT 2018/19) - HPI University of Potsdam](https://www.tele-task.de/series/1227/)
+- [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/)
+- [CS 161: Computer Security, UC Berkeley](https://cs161.org/)
+- [6.875 - Cryptography - Spring 2018- MIT ](https://www.youtube.com/playlist?list=PL6ogFv-ieghe8MOIcpD6UDtdK-UMHG8oH)
+- [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)
+- [CIS 4930/ CIS 5930 - Offensive Computer Security, Florida State University](http://www.cs.fsu.edu/~redwood/OffensiveComputerSecurity/lectures.html)
+- [Introduction to Information Security I - IIT Madras](https://nptel.ac.in/courses/106106129/)
+- [Information Security - II - IIT Madras](https://nptel.ac.in/courses/106106141/)
+- [Introduction to Cryptology - IIT Roorkee](https://nptel.ac.in/courses/106107155/)
+- [Cryptography and Network Security - IIT Kharagpur](https://nptel.ac.in/courses/106105031/)
+- [18-636 Browser Security, Stanford](https://courseware.stanford.edu/pg/courses/334553/18636-spring-2013)
+- [Internet Security - Weaknesses and Targets (WT 2015/16)](https://www.tele-task.de/archive/series/overview/1084/) ([WT 2012/13](https://www.tele-task.de/archive/series/overview/921/) ([YouTube](https://www.youtube.com/playlist?list=PLVWVhkyKd-7taP50fB9PeZ2W_EPTOLD8o)))
+- [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)
+- [MOOC - Cryptography - Coursera](https://www.youtube.com/playlist?list=PL3F2F89F4CD1E1DF4)
+- [MOOC - Intro to Information Security - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPkG-z00NybuIyDqT4sRh3ak)
+- [ICS 444 - Computer & Network Security](https://www.youtube.com/playlist?list=PLciCszvvRCTV09wIXJwiPmYF7thHiq4En)
+- [Privacy and Security in Online Social Networks - IIT Madras](https://nptel.ac.in/courses/106106146/)
+- [Malware Dynamic Analysis - Open SecurityTraining](http://opensecuritytraining.info/MalwareDynamicAnalysis.html) ([YouTube](https://www.youtube.com/playlist?list=PLUFkSN0XLZ-kqYbGpY4Gt_VATd4ytQg-Z))
+- [CSN09112 - Network Security and Cryptography - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn09112)
+- [CSN10107 - Security Testing and Network Forensics - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn10107)
+- [CSN11123 - Advanced Cloud and Network Forensics - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn11123)
+- [CSN11117 - e-Security - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn11117)
+- [CSN08704 - Telecommunications - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn08704)
+- [CSN11128 - Incident Response and Malware Analysus - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/CSN11128)
+- [Internet Security for Beginners by Dr. Christoph Meinel - HPI](https://www.youtube.com/playlist?list=PLoOmvuyo5UAdsi-IacgZJQF1MRw0Ee-HH)
+
+-------
+
+### Computer Graphics
+
+- [CS184 - Computer Graphics, Fall 2012 - UC Berkeley](http://inst.eecs.berkeley.edu/~cs184/fa12/onlinelectures.html)
+- [ECS 175 - Computer Graphics, Fall 2009 - UC Davis](https://itunes.apple.com/us/itunes-u/computer-graphics-fall-2009/id457893733?mt=10)
+- [6.837 - Computer Graphics - Spring 2017 - MIT ](https://www.youtube.com/playlist?list=PLkHIj5SCfn3_PCotoqTetMpJc_jkpkgLt)
+- [6.838 - Shape Analysis - Spring 2017- MIT ](https://www.youtube.com/playlist?list=PLkHIj5SCfn3-FeWqD3xeOZWP2kQYY654o)
+- [Introduction to Computer Graphics - IIT Delhi](https://nptel.ac.in/courses/106102065/)
+- [Computer Graphics - IIT Madras](https://nptel.ac.in/courses/106106090/)
+- [Computer Graphics 2012, Wolfgang Huerst, Utrecht University](https://www.youtube.com/playlist?list=PLDFA8FCF0017504DE)
+- [CS 5630/6630 - Visualization, Fall 2016, University of Utah](http://dataviscourse.net/2016/index.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0))
+- [Advanced Visualization UC Davis](https://www.youtube.com/playlist?list=PLslgisHe5tBNnySlj9TlL-n-4jNEK-xgi)
+- [CSCI E-234 - Introduction to Computer Graphics and GPU Programming, Harvard Extension School](https://itunes.apple.com/us/itunes-u/csci-e-234-introduction-to/id429428034?mt=10)
+- [Computer Graphics Fall 2011, Barbara Hecker](https://www.youtube.com/playlist?list=PL9C949E9F19381E61)
+- [Introduction to Graphics Architecture](https://www.youtube.com/playlist?list=PL4A8BA1C3B38CFCA0)
+- [Ray Tracing for Global Illumination, UCDavis](https://www.youtube.com/playlist?list=PLslgisHe5tBPckSYyKoU3jEA4bqiFmNBJ)
+- [Rendering / Ray Tracing Course, SS 2015 - TU Wien](https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi)
+- [ECS 178 Introduction to Geometric Modeling, Fall 2012, UC Davis](http://graphics.cs.ucdavis.edu/~joy/ecs178/Units.html) ([iTunes](https://itunes.apple.com/us/itunes-u/computer-science-introduction/id389259246))
+- [Computational Geometry - IIT Delhi](https://nptel.ac.in/courses/106102011/)
+- [CS 468 - Differential Geometry for Computer Science - Stanford University](http://graphics.stanford.edu/courses/cs468-13-spring/schedule.html) ([Lecture videos](https://www.youtube.com/playlist?list=PL_deCdukpyu1rdH85XsEEREbpoqEauiJl))
+- [CMU 15-462/662: Computer Graphics](http://15462.courses.cs.cmu.edu/fall2020/)
+
+-------
+
+### Image Processing and Computer Vision
+
+- [MOOC - Digital Image procesing - Duke/Coursera](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
+- [Computer Vision 2011 - EPFL, Switzerland](http://www.klewel.com/conferences/epfl-computer-vision/)
+- [Digital Image Processing - IIT Kharagpur](https://nptel.ac.in/courses/117105079/)
+- [Image Processing and Analysis - UC Davis](https://www.youtube.com/playlist?list=PLA64AFAE28B8DD0FD)
+- [CS 543 - Computer Vision – Spring 2017](https://courses.engr.illinois.edu/cs543/sp2017/) ([Recordings](https://echo360.org/section/283b0471-3d9f-4efb-9c51-bc00e778735e/home))
+- [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))
+- [EE637 - Digital Image Processing I - Purdue University](https://engineering.purdue.edu/~bouman/ece637/) ([Videos - Sp 2011 ](https://www.youtube.com/user/ModelBasedImaging),[Videos - Sp 2007](https://engineering.purdue.edu/~bouman/ece637/lectures/lectures07/))
+- [Computer Vision I: Variational Methods - TU München](https://vision.in.tum.de/teaching/ws2015/vmcv2015) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI))
+- [Computer Vision II: Multiple View Geometry (IN2228), SS 2016 - TU München](https://vision.in.tum.de/teaching/ss2016/mvg2016) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4))
+- [EGGN 510 - Image and Multidimensional Signal Processing - Colorado School of Mines](http://inside.mines.edu/~whoff/courses/EENG510/lectures/)
+- [EENG 512/CSCI 512 - Computer Vision - Colorado School of Mines](https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3)
+- [Computer Vision for Visual Effects - RPI](https://www.ecse.rpi.edu/~rjradke/cvfxcourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a))
+- [Introduction to Image Processing - RPI](https://www.ecse.rpi.edu/~rjradke/improccourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX))
+- [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))
+- [Digital Signal Processing - RPI](https://www.ecse.rpi.edu/~rjradke/dspcourse.html)
+- [Advanced Vision 2014 - University of Edinburgh](http://homepages.inf.ed.ac.uk/rbf/AVINVERTED/main_av.htm)
+- [Photogrammetry Course - 2015/16 - University of Bonn, Germany](https://www.youtube.com/playlist?list=PLgnQpQtFTOGRsi5vzy9PiQpNWHjq-bKN1)
+- [MOOC - Introduction to Computer Vision - Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm)
+- [ECSE-4540 - Intro to Digital Image Processing - Spring 2015 - RPI](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX)
+- [Machine Learning for Computer Vision - Winter 2017-2018 - UniHeidelberg ](https://www.youtube.com/playlist?list=PLuRaSnb3n4kSQFyt8VBldsQ9pO9Xtu8rY)
+- [High-Level Vision - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9POZaT6UFAUUvrQiVQLfzCLN)
+- [Advanced Computer Vision - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9POnU3bVmCVMmtSXzCpcj28T)
+- [Introduction to Image Processing & Computer Vision - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PMexHWGgXJVINpr6ajy5vuz)
+- [Machine Learning for Computer Vision - TU Munich](https://www.youtube.com/playlist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl)
+- [Biometrics - IIT Kanpur](https://nptel.ac.in/courses/106104119/)
+- [Quantitative Big Imaging 2019 ETH Zurich](https://www.youtube.com/playlist?list=PLTWuXgjdOrnmXVVQG5DRkVeOIGOcTmCIw)
+- [Multiple View Geometry in Computer Vision](https://www.youtube.com/playlist?list=PLyH-5mHPFffFvCCZcbdWXAb_cTy4ZG3Dj)
+- [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/)
+
+
+
+--------------------------------
+### Computational Biology
+- [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))
+- [CSE549 - Computational Biology - Steven Skiena - 2010 SBU](https://www.youtube.com/playlist?list=PLA48145CC64FE7990)
+- [7.32 Systems Biology, Fall 2014 - MIT OCW](https://ocw.mit.edu/courses/physics/8-591j-systems-biology-fall-2014/)
+- [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)
+- [Bio 84 - Your Genes and Your Health, Stanford University](https://cmgm.stanford.edu/bio84/)
+- [BioMedical Informatics 231 Computational Molecular Biology, Stanford University](https://cmgm.stanford.edu/biochem218/)
+- [BioMedical Informatics 258 Genomics, Bioinformatics & Medicine, Stanford University](http://biochem158.stanford.edu/)
+- [03-251: Introduction to Computational Molecular Biology - Carnegie Mellon University](https://www.youtube.com/playlist?list=PLUKmtlUTHfBPoI70nVz3C-82N4nznc3Iz)
+- [03-712: Biological Modeling and Simulation - Carnegie Mellon University](https://www.youtube.com/playlist?list=PLUKmtlUTHfBOgpZFmTvsTwkUh2K1RAse-)
+- [MOOC - Bioinformatics Algorithms: An Active Learning Approach - UC San Diego/Coursera](http://bioinformaticsalgorithms.com/videos.htm)
+- [Neural Networks and Biological Modeling - Lecturer: Prof. Wulfram Gerstner - EPFL](http://www.klewel.com/conferences/epfl-neural-networks/)
+- [Video Lectures of Wulfram Gerstner: Computational Neuroscience - EPFL](http://lcn.epfl.ch/~gerstner/VideoLecturesGerstner.html)
+- [An Introduction To Systems Biology](http://www.weizmann.ac.il/mcb/UriAlon/introduction-systems-biology-design-principles-biological-circuits)
+- [Introduction to Bioinformatics, METUOpenCourseWare](https://www.youtube.com/playlist?list=PLuiPz6iU5SQ-PAjlyz4b3EIIQ6dpZ2DE_)
+- [MOOC - Algorithms for DNA Sequencing, Coursera](https://www.youtube.com/playlist?list=PL2mpR0RYFQsBiCWVJSvVAO3OJ2t7DzoHA)
+- [Frontiers of Biomedical Engineering with W. Mark Saltzman - Yale](https://www.youtube.com/playlist?list=PL27E877E8206F196B)
+- [NOC:Computational Systems Biology - IIT Madras](https://nptel.ac.in/courses/102/106/102106068/)
+- [NOC:BioInformatics:Algorithms and Applications - IIT Madras](https://nptel.ac.in/courses/102/106/102106065/)
+
+
+----------------------------------
+### Quantum Computing
+ - [15-859BB: Quantum Computation and Quantum Information 2018 - CMU](https://www.cs.cmu.edu/~odonnell/quantum18/) ([Youtube](https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz))
+ - [Quantum Mechanics for Scientists and Engineers](https://www.youtube.com/playlist?list=PL_onPhFCkVQi2O405SkNf3hv-7HXnZnMm)
+ - [Quantum Mechanics and Quantum Computation - Umesh Vazirani](https://www.youtube.com/playlist?list=PL74Rel4IAsETUwZS_Se_P-fSEyEVQwni7)
+ - [Quantum Information and Computing by Prof. D.K. Ghosh](https://www.youtube.com/playlist?list=PLq-Gm0yRYwThGmlypvSFQ-kT2rPaXKAZ5)
+ - [Quantum Computing by Prof. Debabrata Goswami](https://www.youtube.com/playlist?list=PLq-Gm0yRYwTj7Fs6jyzYa83HErSrpXgPQ)
+ - [The Building Blocks of a Quantum Computer: Part 1 - TU Delft](https://ocw.tudelft.nl/courses/building-blocks-quantum-computer-part-1/)
+ - [The Building Blocks of a Quantum Computer: Part 2 - TU Delft](https://ocw.tudelft.nl/courses/building-blocks-quantum-computer-part-2/)
+ - [Quantum Cryptography - TU Delft](https://ocw.tudelft.nl/courses/quantum-cryptography/)
+
+
+----------------------------------
+### Robotics
+- [CS 223A - Introduction to Robotics, Stanford University](https://see.stanford.edu/Course/CS223A)
+- [6.832 Underactuated Robotics - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-832-underactuated-robotics-spring-2009/)
+- [CS287 Advanced Robotics at UC Berkeley Fall 2019 -- Instructor: Pieter Abbeel](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjNBPJdt8WamRAt4XKc639wF)
+- [CS 287 - Advanced Robotics, Fall 2011, UC Berkeley](https://people.eecs.berkeley.edu/~pabbeel/cs287-fa11/) ([Videos](http://rll.berkeley.edu/cs287/lecture_videos/))
+- [CS235 - Applied Robot Design for Non-Robot-Designers - Stanford University](https://www.youtube.com/user/StanfordCS235/videos)
+- [Lecture: Visual Navigation for Flying Robots](https://vision.in.tum.de/teaching/ss2012/visnav2012) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EKeki5ps2WHqJqyQvxls4ha))
+- [CS 205A: Mathematical Methods for Robotics, Vision, and Graphics (Fall 2013)](https://www.youtube.com/playlist?list=PLQ3UicqQtfNvQ_VzflHYKhAqZiTxOkSwi)
+- [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))
+- [Robot Mechanics and Control, SNU](https://www.youtube.com/playlist?list=PLkjy3Accn-E7mlbuSF4aajcMMckG4wLvW)
+- [Introduction to Robotics Course - UNCC](https://www.youtube.com/playlist?list=PL4847E1D1C121292F)
+- [SLAM Lectures](https://www.youtube.com/playlist?list=PLpUPoM7Rgzi_7YWn14Va2FODh7LzADBSm)
+- [Introduction to Vision and Robotics 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ivr.htm)
+- [ME 597 – Autonomous Mobile Robotics – Fall 2014](http://wavelab.uwaterloo.ca/index6ea9.html?page_id=267)
+- [ME 780 – Perception For Autonomous Driving – Spring 2017](http://wavelab.uwaterloo.ca/indexaef8.html?page_id=481)
+- [ME780 – Nonlinear State Estimation for Robotics and Computer Vision – Spring 2017](http://wavelab.uwaterloo.ca/indexe9a5.html?page_id=533)
+- [METR 4202/7202 -- Robotics & Automation - University of Queensland](http://robotics.itee.uq.edu.au/~metr4202/lectures.html)
+- [Robotics - IIT Bombay](https://nptel.ac.in/courses/112101099/)
+- [Introduction to Machine Vision](https://www.youtube.com/playlist?list=PL1pxneANaikCO1-Z0XTaljLR3SE8tgRXY)
+- [6.834J Cognitive Robotics - MIT OCW ](https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-412j-cognitive-robotics-spring-2016/)
+- [Hello (Real) World with ROS – Robot Operating System - TU Delft](https://ocw.tudelft.nl/courses/hello-real-world-ros-robot-operating-system/)
+- [Programming for Robotics (ROS) - ETH Zurich](https://www.youtube.com/playlist?list=PLE-BQwvVGf8HOvwXPgtDfWoxd4Cc6ghiP)
+- [Mechatronic System Design - TU Delft](https://ocw.tudelft.nl/courses/mechatronic-system-design/)
+- [CS 206 Evolutionary Robotics Course Spring 2020](https://www.youtube.com/playlist?list=PLAuiGdPEdw0inlKisMbjDypCbvcb_GBN9)
+- [Foundations of Robotics - UTEC 2018-I](https://www.youtube.com/playlist?list=PLoWGuY2dW-Acmc8V5NYSAXBxADMm1rE4p)
+- [Robotics - Youtube](https://www.youtube.com/playlist?list=PL_onPhFCkVQhuPiUxUW2lFHB39QsavEEA)
+- [Robotics and Control: Theory and Practice IIT Roorkee](https://www.youtube.com/playlist?list=PLLy_2iUCG87AjAXKbNMiKJZ2T9vvGpMB0)
+- [Mechatronics](https://www.youtube.com/playlist?list=PLtuwVtW88fOeTFS_szBWif0Mcc0lfNWaz)
+- [ME142 - Mechatronics Spring 2020 - UC Merced](https://www.youtube.com/playlist?list=PL-euleXgwWUNQ80DGq6qopHBmHcQyEyNQ)
+- [Mobile Sensing and Robotics - Bonn University](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQJXx-x0t23RmRbjp_yMb4v)
+- [MSR2 - Sensors and State Estimation Course (2020) - Bonn University](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQh_J16IMwDlji18SWQ2PZ6)
+- [SLAM Course (2013) - Bonn University](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQrZ4O5QzbIHgl3b1JHimN_)
+- [ENGR486 Robot Modeling and Control (2014W)](https://www.youtube.com/playlist?list=PLJzZfbLAMTelwaLxFXteeblbY2ytU2AxX)
+- [Robotics by Prof. D K Pratihar - IIT Kharagpur](https://www.youtube.com/playlist?list=PLbRMhDVUMngcdUbBySzyzcPiFTYWr4rV_)
+- [Introduction to Mobile Robotics - SS 2019 - Universität Freiburg](http://ais.informatik.uni-freiburg.de/teaching/ss19/robotics/)
+- [Robot Mapping - WS 2018/19 - Universität Freiburg](http://ais.informatik.uni-freiburg.de/teaching/ws18/mapping/)
+- [Mechanism and Robot Kinematics - IIT Kharagpur](https://nptel.ac.in/courses/112/105/112105236/)
+- [Self-Driving Cars - Cyrill Stachniss - Winter 2020/21 - University of Bonn) ](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD)
+- [Mobile Sensing and Robotics 1 – Part Stachniss (Jointly taught with PhoRS) - University of Bonn](https://www.ipb.uni-bonn.de/msr1-2020/)
+- [Mobile Sensing and Robotics 2 – Stachniss & Klingbeil/Holst - University of Bonn](https://www.ipb.uni-bonn.de/msr2-2020/)
+
+
+----------------------------------
+
+### Computational Finance
+
+- [COMP510 - Computational Finance - Steven Skiena - 2007 HKUST](https://www.youtube.com/playlist?list=PL9E205B8FAAD530E1)
+- [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)
+ - [STA 4505H – High Frequency & Algorithmic trading - University of Toronto](http://www.utstat.utoronto.ca/sjaimung/courses/sta4505/main-2014.htm)
+ - [Mathematical Finance - IIT Guwahati](https://nptel.ac.in/courses/111/103/111103126/)
+ - [Quantitative Finance - IIT Kanpur](https://nptel.ac.in/courses/110/104/110104066/)
+ - [Financial Derivatives & Risk Management - IIT Roorkee](https://nptel.ac.in/courses/110/107/110107128/)
+ - [Financial Mathematics - IIT Roorkee](https://nptel.ac.in/courses/112/107/112107260/)
+
+
+----------------------------------
+
+### Misc
+
+- **HCI**
+ - [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)
+- **Game Development**
+ - [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)
+- **Geospatial**
+ - [Introduction to Spatial Data Science, Autumn 2016, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenkr2vtYgbP4hs44HO_s_qEO)
+ - [Spatial Regression Analysis, Spring 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenkk7x197-CKPFZ0BuAOCRGT)
+ - [Spatial Data Science, Autumn 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenlu-MBaxCRL2KZNk62n7o1g)
+ - [Introduction to Geographic Information Systems - IIT Roorkee](https://nptel.ac.in/courses/105107155/)
+- [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 E-259 XML with Java, Java Servlet, and JSP - Harvard](http://cs259.tv/2007/fall/)
+- [CSE 40373 - Spr 2009: Multimedia Systems](https://www.youtube.com/view_play_list?p=0105F1427EFAEE0A)
+- [Exposing Digital Photography - Harvard Extension School](http://tv.digitalphotography.exposed/2010/fall/)
+- [MOOC - Matlab - Coursera](https://www.youtube.com/playlist?list=PLcKDPPOF93EvvBrgR852MU13zvS2ihTpR)
+- [Computing for Computer Scientists - University of Michigan](https://c4cs.github.io)
+- [Linux Implementation/Administration Practicum - Redhat by Tulio Llosa](https://itunes.apple.com/us/itunes-u/linux-implementation-administration/id430673915)
+- [SIMS 141 - Search Engines - Fall 2005 UCBerkeley](https://www.youtube.com/view_play_list?p=1777A89066B1D71D)
+- [Innovative Computing - Harvard University](https://www.youtube.com/course?list=ECE3E96113F544495A)
+- [Linux Programming & Scripting - IIT Madras](https://nptel.ac.in/courses/117106113/)
+- [Model Checking - IIT Madras](https://nptel.ac.in/courses/106106136/)
+- [Virtual Reality - IIT Madras](https://nptel.ac.in/courses/106106138/)
+- [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)
+- [Dependable Systems (SS 2014) - HPI University of Potsdam](https://www.tele-task.de/series/1005/)
+- [Business Process Compliance (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/979/)
+- [Design Thinking for Digital Engineering (SS 2018) - Dr. Julia von Thienen - HPI](https://www.tele-task.de/series/1206/)
+- [CS224w – Social Network Analysis – Autumn 2017 - Stanford University](http://snap.stanford.edu/class/cs224w-videos-2017/)
+- **Blockchain and Cryptocurrencies**
+ - [Blockchain Fundamentals Decal 2018 - Berkeley DeCal](https://www.youtube.com/playlist?list=PLSONl1AVlZNU0QTGpbgEQXKHcmgYz-ddT)
+ - [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)
+
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