- Recently quality of MOOCs has diminished, therefore only MOOCs with comprehensive lecture material which cover a subject/topic in ample detail will be added. For example, MOOC on Computer Networks or Machine Learning with 4-5 hours may not be able to cover all topics in sufficient detail and thus should be avoided.
- One philosophy used in this list while integrating MOOCs is that link should directly point to videos for viewing/downloading than registration and waiting for the next session. If videos are directly accessible through the platform/youtube or any other source, please use the direct source. This is list of video courses, not a list of MOOCs.
- Courses within a section are roughly sorted in terms of level i.e. undergraduate courses followed by upperlevel undergraduate, followed by graduate courses. As courses are from multiple Universities, sorting is not perfect and only an approximation. For example, while adding a new undergraduate course on Algorithms, please feel free to add it along with other Algorithms courses than after graduate courses.
- Recently the quality of MOOCs has diminished, therefore only MOOCs with comprehensive lecture material which cover a subject/topic in ample detail will be added. For example, MOOC on Computer Networks or Machine Learning with 4-5 hours may not be able to cover all topics in sufficient detail and thus should be avoided.
- One philosophy used in this list while integrating MOOCs is that links should directly point to videos for viewing/downloading than registration and waiting for the next session. If videos are directly accessible through the platform/youtube or any other source, please use the direct source. This is a list of video courses, not a list of MOOCs.
- Courses within a section are roughly sorted in terms of level i.e. undergraduate courses followed by upper-level undergraduate, followed by graduate courses. As courses are from multiple Universities, sorting is not perfect and only an approximation. For example, while adding a new undergraduate course on Algorithms, please feel free to add it along with other Algorithms courses than after graduate courses.
- Intent of this list is to act as Online bookmarks/lookup table for freely available online video courses. Focus would be to keep the list concise so that it is easy to browse. It would be easier to skim through 15 page list, find the course and start learning than having to read 60 pages of text. If you are student or from non-CS background, please try few courses to decide for yourself as to which course suits your learning curve best.
- 90% courses on Data Structures/Algorithms/Operating Systems/Machine Learning/Computer Networks/etc tend to have 80-90% overlap in curriculum. Descriptions for courses are helpful but adding descriptions/comments for each course can lead to repetition/subjective opinions. As a tradeoff, metadata like course number, name, prof, year, University/platform for Course is added in the URL itself. To access syllabus/notes/assignments, please visit link to the course or use Google search with course number/name. If a course has excellent notes/assignments/projects which cannot be reached through video's link, please feel free to add links alongside.
- If available, please add following information to the link - <Course-Number><Course-Name><Year><Prof Name><University Name/Platform>.
- Intent of this list is to act as Online bookmarks/lookup table for freely available online video courses. The focus would be to keep the list concise so that it is easy to browse. It would be easier to skim through a 15-page list, find the course and start learning than having to read 60 pages of t<ext. If you are a student or from non-CS background, please try a few courses to decide for yourself which course suits your learning curve best.
- 90% of courses on Data Structures/Algorithms/Operating Systems/Machine Learning/Computer Networks/etc tend to have 80-90% overlap in the curriculum. Descriptions for courses are helpful but adding descriptions/comments for each course can lead to repetition/subjective opinions. As a tradeoff, metadata like course number, name, prof, year, University/platform for Course is added in the URL itself. To access the syllabus/notes/assignments, please visit the link to the course or use Google search with the course number/name. If a course has excellent notes/assignments/projects which cannot be reached through the video's link, please feel free to add links alongside.
- If available, please add the following information to the link - `<Course-Number> <Course-Name> <Year> <Prof Name> <University Name/Platform>`.
- If you are bored reading above 10 lines, imagine reading descriptions for hundreds of courses :)
- If You need assistance in deciding order in which courses should be taken, please refer to sample Course prerequisite charts by Universities to familiarize yourself with standard CS curriculum. If you need to know prerequisites for a particular course not covered by below samples, please check the course link or try Google.
- Disclaimer: The links have been taken from public domain websites like Open courseware sites, class-central, , YouTube channels for Universities, University pages, Google, itunes U, blog posts and similar sites like awesome-courses etc. If you are University Professor for any course listed below and would like Your course to be removed from the list, please raise an issue with course details.
- If you need assistance in deciding the order in which courses should be taken, please refer to sample Course prerequisite charts by Universities to familiarize yourself with the standard CS curriculum. If you need to know the prerequisites for a particular course not covered by the below samples, please check the course link or try Google.
- Disclaimer: The links have been taken from public domain websites like Open courseware sites, class-central, YouTube channels for Universities, University pages, Google, itunes U, blog posts, and similar sites like awesome-courses, etc. If you are University Professor for any course listed below and would like Your course to be removed from the list, please raise an issue with course details.
- 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.
- Please feel free to raise any genuine issue you may have, however it has been noticed that few people open empty issues to raise their github contribution on their account. Such spammers will be blocked.
- Please feel free to raise any genuine issue you may have, however, it has been noticed that few people open empty issues to raise their GitHub contribution on their account. Such spammers will be blocked.
- You are welcome to contribute, please create PR for actual college/University level courses. Please do not add links for small MOOCs, basic tutorials, or advertisements for some sites/channels.
- [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)
- [6.0001 - Introduction to Computer Science and Programming in Python - MIT OCW](https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/video_galleries/lecture-videos/)
- [6.001 - Structure and Interpretation of Computer Programs, MIT](https://ocw.mit.edu/courses/6-001-structure-and-interpretation-of-computer-programs-spring-2005/video_galleries/video-lectures/)
- [Introduction to Computational Thinking - MIT](https://computationalthinking.mit.edu/Fall22/)
- [CS 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)
@ -64,7 +70,7 @@ Table of Contents
- [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/)
- [6.00 - Introduction to Computer Science and Programming (Fall 2008) - MIT OCW](https://ocw.mit.edu/courses/6-00-introduction-to-computer-science-and-programming-fall-2008/video_galleries/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)
@ -73,7 +79,10 @@ Table of Contents
### Data Structures and Algorithms
- [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/)
- [ECS 36C - Data Structures and Algorithms (C++) - Spring 2020 - Joël Porquet-Lupine - UC Davis](https://lupteach.gitlab.io/courses/ucd-ecs36c/online/)
- [Programming and Data Structures with Python, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/python2021sep/)
- [6.006 - Introduction to Algorithms, MIT OCW](https://ocw.mit.edu/courses/6-006-introduction-to-algorithms-spring-2020/video_galleries/lecture-videos/)
- [MIT 6.006 Introduction to Algorithms, Spring 2020](https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY)
- [Algorithms: Design and Analysis 1 - Stanford University](https://www.youtube.com/playlist?list=PLXFMmlk03Dt7Q0xr1PIAriY5623cKiH7V)
- [Algorithms: Design and Analysis 2 - Stanford University](https://www.youtube.com/playlist?list=PLXFMmlk03Dt5EMI2s2WQBsLsZl7A5HEK6)
- [COS 226 Algorithms, Youtube, Princeton - by Robert Sedgewick and Kevin Wayne](https://www.youtube.com/watch?v=1QZDe28peZk&list=PLRdD1c6QbAqJn0606RlOR6T3yUqFWKwmX&index=1)
@ -84,12 +93,13 @@ Table of Contents
- [CS2 - Data Structures and Algorithms - Richard Buckland - UNSW](https://www.youtube.com/playlist?list=PLE621E25B3BF8B9D1)
- [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/)
- [6.046J - Introduction to Algorithms - Fall 2005, MIT OCW](https://ocw.mit.edu/courses/6-046j-introduction-to-algorithms-sma-5503-fall-2005/)
- [Introduction to Algorithms (Spring 2020), MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-spring-2020/)
- [6.046 - Design and Analysis of Algorithms, Spring 2015 - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2015/lecture-videos/)
- [CS 473 - Algorithms - University of Illinois at Urbana-Champaign](https://courses.engr.illinois.edu/cs473/sp2016/lectures.html) ([Notes - Jeff Erickson](http://jeffe.cs.illinois.edu/teaching/algorithms/)) ([YouTube](https://www.youtube.com/playlist?list=PL0v718LJg-78SFq81e4kJh_rS8XbKZ7Kn))
- [COMP300E - Programming Challenges, Prof Skiena, Hong Kong University of Science and Technology - 2009](https://www.youtube.com/playlist?list=PL07B3F10B48592010)
- [16s-4102 - Algorithms, University of Virginia](http://www.cs.virginia.edu/~shelat/16s-4102/) ([Youtube](https://www.youtube.com/channel/UCxXYk53cSZof2bR_Ax0uJYQ/videos))
- [CS 61B - Data Structures (Java) - UC Berkeley](https://inst.eecs.berkeley.edu/~cs61b/)([Youtube](https://www.youtube.com/watch?v=gG4--V_PpEk&list=PLjuu7kFWxFtZBm-5GifiVpqdAxeW7Hsax))
- [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)
- [CS110: Principles of Computer Systems - Stanford](https://web.stanford.edu/class/archive/cs/cs110/cs110.1202/)
- **Operating Systems**
- [ECS 150 - Operating Systems and Systems Programming - Fall 2020 - Joël Porquet-Lupine - UC Davis](https://lupteach.gitlab.io/courses/ucd-ecs150/online/)
- [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)
@ -146,11 +159,13 @@ Table of Contents
- [Introduction to Operating Systems - IIT Madras](https://nptel.ac.in/courses/106106144/)
- [CS194 Advanced Operating Systems Structures and Implementation, Spring 2013 InfoCoBuild, UC Berkeley](http://www.infocobuild.com/education/audio-video-courses/computer-science/cs194-spring2013-berkeley.html)
- [CSE 60641 - Graduate Operating Systems, Fall 08](https://www.youtube.com/view_play_list?p=22B10D854588E20C)
- [Advanced Programming in the UNIX Environment](https://stevens.netmeister.org/631/)
- [CS 436 - Distributed Computer Systems - U Waterloo](https://www.youtube.com/playlist?list=PLawkBQ15NDEkDJ5IyLIJUTZ1rRM9YQq6N)
- [6.824 - Distributed Systems, Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLkcQbKbegkMqiWf7nF8apfMRL4P4sw8UL)
- [6.824 Distributed Systems - Spring 2020 - MIT](https://pdos.csail.mit.edu/6.824/schedule.html) ([Youtube](https://www.youtube.com/playlist?list=PLrw6a1wE39_tb2fErI4-WkMbsvGQk9_UB))
- [Distributed Systems Lecture Series](https://www.youtube.com/playlist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)
- [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))
@ -160,6 +175,7 @@ Table of Contents
- [Distributed Data Management - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ss-15/ddm)
- [Information Retrieval and Web Search Engines - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1516/IRWS)
- [Middleware and Distributed Systems (WS 2009/10) - Dr. Martin von Löwis - HPI](https://www.tele-task.de/series/729/)
- [CSE 138 - Distributed Systems - UC Santa Cruz, Spring 2020](https://www.youtube.com/playlist?list=PLNPUF5QyWU8O0Wd8QDh9KaM1ggsxspJ31) ([2021](https://www.youtube.com/playlist?list=PLNPUF5QyWU8PydLG2cIJrCvnn5I_exhYx))
- **Real-Time Systems**
- [CPCS 663 - Real-Time Systems: Video Material - TAMU](http://faculty.cs.tamu.edu/bettati/Courses/663/Video/presentation.html)
- [Real Time Systems - IIT Kharagpur](https://nptel.ac.in/courses/106105036/)
@ -183,7 +199,7 @@ Table of Contents
- [Fundamentals of Database Systems - IIT Kanpur](https://nptel.ac.in/courses/106104135/)
- [Principles of Database Management, Bart Baesens](https://www.youtube.com/playlist?list=PLdQddgMBv5zEhlpqdiUcf9aTNEtmESgyl)
- [FIT9003 Database Systems Design - Monash University](https://itunes.apple.com/us/podcast/fit9003-database-systems-design/id306569364)
- [Introduction to Service Design and Engineering - University of Trento, Italy](https://www.youtube.com/playlist?list=PLBdajHWwi0JCn87QuFT3e58mekU0-6WUT)
- [Dependable Systems (SS 2014)- HPI University of Potsdam](https://www.tele-task.de/series/1005/)
@ -236,7 +253,7 @@ Table of Contents
- [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 193p - Developing Applications for iOS, Stanford University](https://cs193p.sites.stanford.edu/)
- [CS S-76 Building Mobile Applications - Harvard](http://cs76.tv/2013/summer/)
- [Android App Development for Beginners Playlist - thenewboston](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGBsvRxJJOzG4r4k_zLKrnxl)
@ -282,8 +299,7 @@ Table of Contents
### 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)
- [Introduction to Machine Learning for Coders](https://course18.fast.ai/ml)
- [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)
- [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV)
- [Applied Machine Learning (Cornell Tech CS 5787, Fall 2020)](https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83)
- [ORIE 4741/5741: Learning with Big Messy Data - Cornell](https://people.orie.cornell.edu/mru8/orie4741/lectures.html)
- [Machine Learning in IoT](https://www.youtube.com/playlist?list=PLeZoXD_TLsLbW_ILvL9TlhBYdW8wJyON-)
- [Stanford CS229M: Machine Learning Theory - Fall 2021](https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh)
- [Intro to Machine Learning and Statistical Pattern Classification - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3)
- [CMU's Multimodal Machine Learning course (11-777), Fall 2020](https://www.youtube.com/playlist?list=PL-Fhd_vrvisNup9YQs_TdLW7DQz-lda0G)
- [EE104: Introduction to Machine Learning - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK)
- [100 Days of Machine Learning - CampusX (Hindi)](https://www.youtube.com/playlist?list=PLKnIA16_Rmvbr7zKYQuBfsVkjoLcJgxHH)
- [CampusX Data Science Mentorship Program 2022-23 (Hindi)](https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z)
- **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))
@ -359,7 +392,6 @@ Table of Contents
- [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/)
- [Python Data Science with the TCLab](https://github.com/APMonitor/data_science) ([YouTube](https://www.youtube.com/watch?v=pAgW_bZVo88&list=PLLBUgWXdTBDg1Qgmwt4jKtVn9BWh5-zgy))
@ -372,10 +404,16 @@ Table of Contents
- [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**
- [Full Stack Deep Learning - Course 2022](https://www.youtube.com/watch?v=-Iob-FW5jVM&list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur)
- [Full Stack Deep Learning - Course 2021](https://www.youtube.com/watch?v=fGxWfEuUu0w&list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv)
- [NYU Deep Learning Spring 2020](https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq)
- [NYU Deep Learning Spring 2021](https://www.youtube.com/playlist?list=PLLHTzKZzVU9e6xUfG10TkTWApKSZCzuBI)
- [6.S191: Introduction to Deep Learning - MIT](http://introtodeeplearning.com/)
- [Intro to Deep Learning and Generative Models Course - Prof Sebastian Raschka](https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51)
- [CS231n Deep Learning for Computer Vision - Winter 2016 Andrej Karpathy - Stanford University](https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC)
- [Deep Learning: CS 182 Spring 2021](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A)
- [10-414/714: Deep Learning Systems - CMU](https://dlsyscourse.org/lectures/) ([Youtube](https://www.youtube.com/@deeplearningsystemscourse1116/videos))
- [Part 1: Practical Deep Learning for Coders, v3 - fast.ai](https://course.fast.ai/)
- [Part 2: Deep Learning from the Foundations - fast.ai](https://course19.fast.ai/part2)
- [Deep learning at Oxford 2015 - Nando de Freitas](https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu)
@ -397,6 +435,15 @@ Table of Contents
- [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
- [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/aml2021)
- [18.409 Algorithmic Aspects of Machine Learning Spring 2015 - MIT](https://www.youtube.com/playlist?list=PLB3sDpSRdrOvI1hYXNsa6Lety7K8FhPpx)
- [CS 330 - Deep Multi-Task and Meta Learning - Fall 2019 - Stanford University](https://cs330.stanford.edu/) ([Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5))
- [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI)
- **Natural Language Processing**
- [CS 224N - Deep Learning for Natural Language Processing, Stanford University](http://web.stanford.edu/class/cs224n/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ))
- [Stanford XCS224U: Natural Language Understanding I Spring 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp)
- [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)
- [Natural Language Processing at UT Austin (Greg Durrett)](https://www.youtube.com/playlist?list=PLofp2YXfp7Tbk88uH4jejfXPd2OpWuSLq)
- [CS224U: Natural Language Understanding - Spring 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20)
- [Deep Learning for Natural Language Processing, 2017 - Oxford University](https://github.com/oxford-cs-deepnlp-2017/lectures)
- [Accelerated Natural Language Processing 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/anlp.htm)
@ -440,6 +488,7 @@ Table of Contents
- [Natural Language Processing (CMSC 470)](https://www.youtube.com/playlist?list=PLwrUPjGidcJ4UkSoi7_rmn-1kcedLqgdL)
- [CS 198-126: Modern Computer Vision Fall 2022 (UC Berkeley)](https://www.youtube.com/playlist?list=PLzWRmD0Vi2KVsrCqA4VnztE4t71KnTnP5)
- [Machine Learning for Robotics and Computer Vision, WS 2013/2014 - TU München](https://vision.in.tum.de/teaching/ws2013/ml_ws13) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EIiongKlS9OKrBEp8QR47Wl))
- [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)
@ -449,20 +498,24 @@ Table of Contents
- **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**
- **Optimization**
- [Optimisation for Machine Learning: Theory and Implementation (Hindi) - IIT](https://www.youtube.com/playlist?list=PLyqSpQzTE6M-pmLzCoMu_ANU6atEFyyJl)
- [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/)
- [10-725 Optimization Fall 2012 - CMU](http://www.cs.cmu.edu/~ggordon/10725-F12/schedule.html)
- [10-801 Advanced Optimization and Randomized Methods - CMU](http://www.cs.cmu.edu/~suvrit/teach/aopt.html) ([YouTube](https://www.youtube.com/playlist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d))
- [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
- **Misc Machine Learning Topics**
- [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)
- [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)
- [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://blogs.ischool.berkeley.edu/i290-abdt-s12/) ([YouTube](https://www.youtube.com/playlist?list=PLE8C1256A28C1487F))
- [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page)
- [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
- [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)
- [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)
@ -474,14 +527,17 @@ Table of Contents
- [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)
- [Big Data Systems (WT 2019/20) - Prof. Dr. Tilmann Rabl - HPI](https://www.tele-task.de/series/1286/)
- [Distributed Data Analytics (WT 2017/18) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1179/)
- [Introduction to Data-Centric AI - MIT](https://dcai.csail.mit.edu/)
- [Parallel Computing and Scientific Machine Learning](https://www.youtube.com/playlist?list=PLCAl7tjCwWyGjdzOOnlbGnVNZk0kB8VSa)
- [Machine Learning System Design - System Design Fight Club](https://www.youtube.com/playlist?list=PLlvnxKilk3aKx0oFua-HTtFf-d_inQ8Qn)
------------------------------
### 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 Networking: A Top-Down Approach](https://www.youtube.com/playlist?list=PLm556dMNleHc1MWN5BX9B2XkwkNE2Djiu)
- [Computer Communication Networks, Rensselaer Polytechnic Institute - Fall 2001](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html) ([Videos](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html#ccn_video)) ([Slides](https://www.ecse.rpi.edu/Homepages/koushik/shivkuma-teaching/video_index.html#ccn_foils))
- [Audio/Video Recordings and Podcasts of Professor Raj Jain's Lectures - Washington University in St. Louis](http://www.cse.wustl.edu/~jain/videos.htm) ([YouTube](https://www.youtube.com/user/ProfRajJain/playlists))
- [Computer Networks, Tanenbaum, Wetherall Computer Networks 5e - Video Lectures](http://media.pearsoncmg.com/ph/streaming/esm/tanenbaum5e_videonotes/tanenbaum_videoNotes.html)
@ -514,16 +570,19 @@ Table of Contents
- [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/)
- [Vector Calculus for Engineers - HKUST](https://www.youtube.com/playlist?list=PLkZjai-2JcxnYmkg6fpzz4WFumGVl7MOa)
- **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))
- [6.042J - Mathematics for Computer Science, MIT OCW](https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/video_galleries/video-lectures/)
- [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 Mathematics and Mathematical Reasoning 2015/16 - University of Edinburgh](https://www.inf.ed.ac.uk/teaching/courses/dmmr/)
- [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/)
- [MIT RES.6-012 Introduction to Probability, Spring 2018 - MIT](https://www.youtube.com/playlist?list=PLUl4u3cNGP60hI9ATjSFgLZpbNJ7myAg6)
- [Statistics 110 - Probability - Harvard University](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo)
- [Statistical Rethinking: 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/))
- [Statistical Rethinking: A Bayesian Course Using R and Stan](https://github.com/rmcelreath/statrethinking_winter2019) ([Lectures](https://www.youtube.com/playlist?list=PLDcUM9US4XdPz-KxHM4XHt7uUVGWWVSus)) ([Book](http://www.stat.columbia.edu/~gelman/book/))
- [02402 Introduction to Statistics E12 - Technical University of Denmark](https://www.youtube.com/playlist?list=PLMn2aW3wpAtPC8tZHQy6nwWsFG7P6sPqw) ([F17](https://www.youtube.com/playlist?list=PLgowegO9Se58_BnUNnaARajEE_bX-GJEz))
- [Engineering Probability (ECSE-2500) - RPI](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BU1dN2G6ncyiMbML7OXh_Jx)
- [Purdue ECE302 Introduction to Probability for Data Science](https://www.youtube.com/playlist?list=PL4FSfq6xtSvyqsbgrYDeyV0WWXlXqwy2M)
- [Undergraduate Probability with Professor Roman Vershynin](https://www.math.uci.edu/~rvershyn/teaching/ugp/ugp.html)
- [Bayesian Data Analysis](https://www.youtube.com/playlist?list=PLBqnAso5Dy7O0IVoVn2b-WtetXQk5CDk6)
- [Markov Processes - Spring 2023](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrP3rME2XvFvE4Q5vI3H_7_Z)
- **Linear Algebra**
- [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https://willett.psd.uchicago.edu/teaching/mathematical-foundations-of-machine-learning-fall-2021/)
- [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/)
- [18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning - MIT OCW](https://ocw.mit.edu/courses/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video_galleries/video-lectures/)
- [MOOC: Coding the Matrix: Linear Algebra through Computer Science Applications - Coursera](http://academictorrents.com/details/54cd86f3038dfd446b037891406ba4e0b1200d5a)
- [CS 053 - Coding the Matrix - Brown University](http://cs.brown.edu/courses/cs053/current/lectures.htm) ([Fall 14 videos](https://cs.brown.edu/video/channels/coding-matrix-fall-2014/))
@ -548,20 +615,26 @@ Table of Contents
- [A first course in Linear Algebra - N J Wildberger - UNSW](https://www.youtube.com/playlist?list=PL44B6B54CBF6A72DF)
- [INTRODUCTION TO MATRIX ALGEBRA](http://ma.mathforcollege.com/youtube/index.html)
- [Computational Linear Algebra - fast.ai](https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY) ([Github](https://github.com/fastai/numerical-linear-algebra))
- [ENGR108: Introduction to Applied Linear Algebra—Vectors, Matrices, and Least Squares - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9)
- [10-600 Math Background for ML - CMU](https://www.youtube.com/playlist?list=PL7y-1rk2cCsA339crwXMWUaBRuLBvPBCg)
- [MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning](https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video-lectures/)
- [Direct Methods for Sparse Linear Systems - Prof Tim Davis - UFL](https://www.youtube.com/playlist?list=PL5EvFKC69QIyRLFuxWRnH6hIw6e1-bBXB)
- [36-705 - Intermediate Statistics - Larry Wasserman, CMU](http://www.stat.cmu.edu/~larry/=stat705/) ([YouTube](https://www.youtube.com/playlist?list=PLcW8xNfZoh7eI7KSWneVWq-7wr8ffRtHF))
- [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)
- [Essential Mathematics for Machine Learning- July 2018 - IIT Roorkee - YouTube Lectures](https://www.youtube.com/playlist?list=PLLy_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE)
- [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)
- [CSC 253 - CPython internals: A ten-hour codewalk through the Python interpreter source code, University of Rochester](https://www.youtube.com/playlist?list=PLzV58Zm8FuBL6OAv1Yu6AwXZrnsFbbR0S)
- [CSE341 - Programming Languages, Dan Grossman, Spring 2013 - University of Washington](https://courses.cs.washington.edu/courses/cse341/13sp/)
- [CSEP 501 - Compiler Construction, University of Washington](https://courses.cs.washington.edu/courses/csep501/09au/lectures/video.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLTPQEx-31JXhfAWGnGzwbfhB2zUB7Jd4C))
- [CSEP 505 Programming Languages, Winter 2015 - University of Washington](https://courses.cs.washington.edu/courses/csep505/15wi/video/)
@ -596,6 +670,7 @@ Table of Contents
- [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))
- [Functional Programming (2021) - University of Nottingham](http://www.cs.nott.ac.uk/~pszgmh/pgp.html)
- [Functional Programming - University of Edinburgh - 2016-17](http://www.inf.ed.ac.uk/teaching/courses/inf1/fp/)
- [MOOC - Functional Programming Principles in Scala by Martin Odersky](https://www.youtube.com/user/afigfigueira/playlists?sort=dd&view=50&shelf_id=9)
- [CS294 - Program Synthesis for Everyone](https://people.eecs.berkeley.edu/~bodik/cs294fa12)
@ -621,10 +696,12 @@ Table of Contents
- [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)
- [Great Ideas in Theoretical Computer Science at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3aafQm568blS9blxtA_EWQv)
- [Another link](https://www.cs251.com/)
- [Analysis of Boolean Functions at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3YypJNaF6sRAf2zC1QzMuTA)
- [Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015](http://ais.informatik.uni-freiburg.de/teaching/ss15/bridging/)
- [Compiler Design by Sorav Bansal](https://www.youtube.com/playlist?list=PLf3ZkSCyj1tf3rPAkOKY5hUzDrDoekAc7)
------------------------------
@ -632,18 +709,15 @@ Table of Contents
- [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)
- [CS149 Introduction to Embedded Systems - Spring 2011 - UCBerkeley](https://youtube.com/playlist?list=PLu0nzW8Es1x0RIvuWdw1Diez2Clk8xAX5)
- [ECE 4760 Designing with Microcontrollers Fall 2016, Cornell University](http://people.ece.cornell.edu/land/courses/ece4760/) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLKcjQ_UFkrd4I5WOIxHEYZ7iY04lj15Ez))
- [ECE 5760 - Advanced Microcontroller Design and system-on-chip, Spring 2016 - Cornell University](http://people.ece.cornell.edu/land/courses/ece5760/)
- [CSE 438/598 Embedded Systems Programming ASU](http://rts.lab.asu.edu/web_438_Fall_2014/CSE438_Fall2014_Main_page.htm)
- [Summer Short Course on Embedded Systems Programming](http://rts.lab.asu.edu/web_ESP_Summer2014/ESP_Main_page.htm)
- [Internet of Things by Prof. Dr.-Ing. Dietmar P. F. Möller](https://video.tu-clausthal.de/vorlesung/408.html)
- [CSE 351 - The Hardware/Software Interface, Spring 16 - University of Washington](https://courses.cs.washington.edu/courses/cse351/16sp/videos.html) ([Coursera](http://academictorrents.com/details/f1384286c8581bffba11e378fdb37608e649d82a))
- [ECE/CS 5780/6780 - Embedded Systems Design, Spring 14 - University of Utah](https://www.youtube.com/playlist?list=PLQefpK95HyFmao3zi-WDOMkeSev-Je5dE)
- [Embedded Systems Class - Version 1 - 2011 - UNCC](https://www.youtube.com/playlist?list=PLE4462C1C306E2EB2)
- [Embedded Systems using the Renesas RX63N Processor - Version 3 - UNCC](https://www.youtube.com/playlist?list=PLPIqCiMhcdO5gxLJWt_hY5CPMzqg75IU5)
- [ELEC2142 - Embedded Systems Design - UNSW](http://eemedia.ee.unsw.edu.au/ELEC2142/index.htm)
- [Software Engineering for Embedded Systems (WS 2011/12) - HPI University of Potsdam](https://www.tele-task.de/series/864/)
- [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))
- [18-447 - Introduction to Computer Architecture, CMU](http://www.ece.cmu.edu/~ece447/s15/doku.php?id=schedule) ([Lectures - YouTube - Fall 15](https://youtube.com/playlist?list=PL5PHm2jkkXmi5CxxI7b3JCL1TWybTDtKq))
- [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))
- [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))
@ -718,7 +792,7 @@ Table of Contents
### 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/)
- [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_galleries/video-lectures/)
- [CS 253 Web Security - Stanford University](https://www.youtube.com/playlist?list=PL1y1iaEtjSYiiSGVlL1cHsXN_kvJOOhu-)
- [6.875 - Cryptography - Spring 2018- MIT](https://www.youtube.com/playlist?list=PL6ogFv-ieghe8MOIcpD6UDtdK-UMHG8oH)
@ -747,6 +821,7 @@ Table of Contents
- [CSN08704 - Telecommunications - Bill Buchanan - Edinburgh Napier](https://asecuritysite.com/csn08704)
- [CSN11128 - Incident Response and Malware Analysis - 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)
- [Offensive Security and Reverse Engineering, Chaplain University by Ali Hadi](https://www.youtube.com/playlist?list=PLCS2zI95IiNybAAQ0HL88YzwRpLXje5y6)
------------------------------
@ -776,7 +851,6 @@ Table of Contents
### Image Processing and Computer Vision
- [MOOC - Digital Image processing - Duke/Coursera](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
- [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))
@ -807,7 +881,17 @@ Table of Contents
- [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/)
- [3D Computer Vision - National University of Singapore](https://www.youtube.com/playlist?list=PLxg0CGqViygP47ERvqHw_v7FVnUovJeaz)
------------------------------
### Computational Physics
- [Astronomical data analysis using Python 2021 - NRC IUCAA](https://www.youtube.com/playlist?list=PL3jLiVc5sr3P7Uov0VFsEfwPOEG1rF-FO)
- [SPARC Workshop on Machine Learning in Solar Physics and Space Weather - CESSI IISER Kolkata](https://www.youtube.com/playlist?list=PLtxxbMktGS8pjURPBXJTAkClnXVE_ZNni)
- [Data-Driven Methods and Machine Learning in Atmospheric Sciences - IISC](https://www.youtube.com/playlist?list=PLnUDCXHuQXBaGrYSbDMWi2inp7GSe3__8)
- [Space Science with Python - Astroniz](https://www.youtube.com/playlist?list=PLNvIBWkEdZ2iCc8G9dvx6MQvBruJG-TE8)
------------------------------
### Computational Biology
@ -815,7 +899,8 @@ Table of Contents
- [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))
- [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/)
- [6.802J/ 6.874J Foundations of Computational and Systems Biology - MIT OCW](https://ocw.mit.edu/courses/7-91j-foundations-of-computational-and-systems-biology-spring-2014/video_galleries/video-lectures/)
- [6.S897 Machine Learning For Healthcare](https://ocw.mit.edu/courses/6-s897-machine-learning-for-healthcare-spring-2019/video_galleries/lecture-videos/)
- [6.047/6.878 Machine Learning for Genomics Fall 2020 - MIT](https://www.youtube.com/playlist?list=PLypiXJdtIca6dEYlNoZJwBaz__CdsaoKJ)
- [6.874 MIT Deep Learning in Life Sciences - Spring 2021 - MIT](https://www.youtube.com/playlist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX)
- [6.047/6.878 Public Lectures on Computational Biology: Genomes, Networks, Evolution - MIT](http://compbio.mit.edu/lectures.html)
@ -833,6 +918,7 @@ Table of Contents
- [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/)
- [Data Science and AI for Neuroscience Summer School - Caltech Neuroscience](https://www.youtube.com/playlist?list=PLlPxFwLgTtnfDtq_AO3dd62s33RHtU4bp)
------------------------------
@ -840,22 +926,43 @@ Table of Contents
- [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)
- [Introduction to quantum computing course 2022 - NYU](https://www.youtube.com/playlist?list=PLo0Vs5tDeRLRIPcJ83SN91M-asGuaa1AD)
- [Phys 1470 - Foundations of Quantum Computing and Quantum Information - U of Pittsburgh](https://www.youtube.com/playlist?list=PL9KDUYiMK3D5etNeur9HocwcAcfcDtArw)
- [Introduction to Quantum Computing From a Layperson to a Programmer in 30 Steps (EE225 SJSU)](https://www.youtube.com/playlist?list=PLnK6MrIqGXsJfcBdppW3CKJ858zR8P4eP)
- [Quantum Computing Hardware and Architecture (EE274 SJSU)](https://www.youtube.com/playlist?list=PLnK6MrIqGXsL1KShnocSdwNSiKnBodpie)
- [Quantum Physics for Non-Physicists 2021 - ETH Zurich](https://www.youtube.com/playlist?list=PLmE1-ewBrbkiOFq_vMXAww4GDMxDAB3pI) ([2020](https://www.youtube.com/playlist?list=PLmE1-ewBrbkiKoYQU4FawveQfhWU_4MkX))
- [Introduction to Quantum Computing and Quantum Hardware - Qiskit](https://www.youtube.com/playlist?list=PLOFEBzvs-VvrXTMy5Y2IqmSaUjfnhvBHR)
- [Understanding Quantum Information and Computation - Qiskit](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqKKMXX4vbi4EB1uaErFMSO)
- [Lectures in Quantum Computation and Quantum Information (IIT Madras)](https://www.youtube.com/playlist?list=PLqLyTdPNhQZwfLoL4QMeI6scnyH1c__tE)
- [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/)
- [Introduction to Quantum Information](https://zhenyucai.com/post/intro_to_qi/)
- [Quantum Computing for Everyone -- Part 1](https://www.youtube.com/playlist?list=PLfOgkuiMs5qApXtgIMREPicgbYIGjbf8e) ([Part 2](https://www.youtube.com/playlist?list=PLfOgkuiMs5qB-0J07mphWZ19j9Gll33ZU))
- [Quantum Computer Systems – UChicago](https://www.youtube.com/playlist?list=PLfOgkuiMs5qCa8BUrFMumyvPqeoOL-iu8)
- [Quantum computing for the determined - Michael Nielsen](https://www.youtube.com/playlist?list=PL1826E60FD05B44E4)
- [ROB 101: Computational Linear Algebra - University of Michigan](https://github.com/michiganrobotics/rob101/tree/main/Fall%202021) ([Youtube - Fall 2021](https://www.youtube.com/playlist?list=PLdPQZLMHRjDJ5d_dE4FeOviv0gRe4UYsB))
- [ROB 102: Introduction to AI and Programming - University of Michigan](https://robotics102.github.io/)
- [ROB 311: How to Build Robots and Make Them Move - University of Michigan](https://www.youtube.com/playlist?list=PLdPQZLMHRjDIWDJDjiBKjFe7ETD_rssB9)
- [ROB 320: Robot Operating Systems - University of Michigan](https://autorob.org/)
- [ROB 501: Mathematics for Robotics - University of Michigan](https://github.com/michiganrobotics/rob501) ([Youtube](https://www.youtube.com/playlist?list=PLdPQZLMHRjDIzO99aE7yAtdOHSVHMXfYH))
- [ROB 530 MOBILE ROBOTICS at U of Michigan - WINTER 2022 -- Instructor: Maani Ghaffari](https://www.youtube.com/playlist?list=PLdMorpQLjeXmbFaVku4JdjmQByHHqTd1F)
- [Autorob Winter 2022 - University of Michigan](https://m.youtube.com/playlist?list=PLf_SmXJixhnWMMU6_xYW7iS08-7h9kENY)
- [DeepRob Winter 2023 - University of Michigan](https://m.youtube.com/playlist?list=PLf_SmXJixhnXoMs0Qvxe500BrjfbIOwSg)
- [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)
- [Industrial Robotics and Automation - IIT (ISM) Dhanbad](https://www.youtube.com/playlist?list=PLXDsvE7qtfNdt9oYEhJ_LMXDUGu6bH-L6)
- [MEE5114 Advanced Control for Robotics from Southern University of Science and Technology](https://www.youtube.com/playlist?list=PLYkCanigA7S4x-ExlnFsQN9WrNZREWEZd)
- [Self-Driving Cars — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)
- [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/)
- [18.S096 Topics in Mathematics with Applications in Finance, MIT OCW](https://ocw.mit.edu/courses/18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013/video_galleries/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)
@ -918,9 +1031,10 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
### Blockchain Development
- **Blockchain and Cryptocurrencies**
- [Blockchain, Solidity, and Full Stack Web3 Development with JavaScript](https://youtu.be/gyMwXuJrbJQ)
- [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/)
- [Cryptocurrency Engineering and Design - Spring 2018 - MIT](https://ocw.mit.edu/courses/mas-s62-cryptocurrency-engineering-and-design-spring-2018/video_galleries/lecture-videos/)
- [15.S12 Blockchain and Money, Fall 2018 - MIT](https://www.youtube.com/playlist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn)
- [Blockchain - Foundations and Use Cases](https://www.coursera.org/learn/blockchain-foundations-and-use-cases/home/welcome)
- **Become Blockchain Developer**
@ -967,3 +1081,4 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
- [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/)
Muiz Haruna | DEVDESIIGNN
2 years ago
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