CMU Robotics

https://course.fast.ai/ml.html no longer works and takes you to a broken github page. https://course18.fast.ai/ml is the new link

CONTRIBUTING.md

@@ -1,4 +1,5 @@
-## Contribution Guidelines
-- 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 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.
+# Contribution Guidelines
+
+- 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.

NOTES.md

@@ -1,11 +1,12 @@
-## Notes
-- 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>. 
+# Notes
+
+- 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&ltext. 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 prerequsite 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.
-  - [MIT Curriculum Guide](https://ocw.mit.edu/courses/mit-curriculum-guide/)
-  - [MIT New (Fall 2016) Degree Requirements](https://www.eecs.mit.edu/curriculum2016)
-  - [Stanford Current CS Program Sheets](http://csmajor.stanford.edu/ProgramSheets.shtml)
-  - [UMN Computer Science Course Prerequisite Chart](https://www.cs.umn.edu/sites/cs.umn.edu/files/cseprerequisite_chart.pdf)
-- 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.
+  - [MIT EECS Curriculum](https://www.eecs.mit.edu/academics/undergraduate-programs/curriculum/)
+  - [Stanford Program Sheets](https://cs.stanford.edu/degrees/ug/ProgramSheets.shtml)
+  - [Stanford Course and Requirement Overview](https://cs.stanford.edu/degrees/ug/Requirements.shtml)
+  - [UMN Computer Science Course Prerequisite Chart](https://onestop.umn.edu/registration/register-classes/course-prerequisites)
+- 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.

README.md

@@ -1,14 +1,19 @@
-## Computer Science courses with video lectures
+<!-- omit in toc -->
+# Computer Science courses with video lectures
 
-**Introduction**
+<!-- omit in toc -->
+## 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.
+- 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.
+
 ------------------------------
 
 Table of Contents
-------------------------------
 
+------------------------------
 
 - [Introduction to Computer Science](#introduction-to-computer-science)
 - [Data Structures and Algorithms](#data-structures-and-algorithms)
@@ -17,9 +22,9 @@ Table of Contents
 - [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)
+- [Web Programming and Internet Technologies](#web-programming-and-internet-technologies)
 - [Theoretical CS and Programming Languages](#theoretical-cs-and-programming-languages)
 - [Embedded Systems](#embedded-systems)
 - [Real time system evaluation](#real-time-system-evaluation)
@@ -27,6 +32,7 @@ Table of Contents
 - [Security](#security)
 - [Computer Graphics](#computer-graphics)
 - [Image Processing and Computer Vision](#image-processing-and-computer-vision)
+- [Computational Physics](#computational-physics)
 - [Computational Biology](#computational-biology)
 - [Quantum Computing](#quantum-computing)
 - [Robotics](#robotics)
@@ -34,14 +40,17 @@ Table of Contents
 - [Blockchain Development](#blockchain-development)
 - [Misc](#misc)
 
-Courses
+<!-- omit in toc -->
+## 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)
+- [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 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)
@@ -61,16 +70,19 @@ Courses
 - [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)
 
-------
+------------------------------
 
 ### 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)
@@ -81,11 +93,13 @@ Courses
 - [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/)
+- [6.046J - 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 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/))
@@ -100,7 +114,6 @@ Courses
 - [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)
@@ -117,17 +130,22 @@ Courses
 - [Parallel Algorithm - IIT Kanpur](https://nptel.ac.in/courses/106104120/)
 - [Graph Theory - IISC Bangalore](https://nptel.ac.in/courses/106108054/)
 - [Data Structures - mycodeschool](https://www.youtube.com/watch?v=92S4zgXN17o&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P)
+- [Algorithmic Game Theory, Winter 2020/21 - Uni Bonn](https://www.youtube.com/playlist?list=PLyzcvvgje7aD_DjpmhFzQ9DVS8zzhrgp6)
+- [NETS 4120: Algorithmic Game Theory, Spring 2023 - UPenn](https://www.youtube.com/playlist?list=PLlIlhe_rS4U1MfB0NzG4IWb7CM0xKkx4d)
+- [Introduction to Game Theory and Mechanism Design - IIT Kanpur](https://www.youtube.com/playlist?list=PL3eEm6KzZ3lF2TlVOnPyJHyGWJhUogn-D)
 
----------------------------------
+------------------------------
 
 ### Systems Programming
 
 - [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](https://www.cs.uic.edu/CS361fall13)
+- [CS 3650 - Computer Systems - Fall 2020 - Nat Tuck - NEU](https://web.archive.org/web/20210423030302/https://ntuck-neu.site/2020-09/cs3650/) ([Lectures - YouTube](https://www.youtube.com/playlist?list=PLtg_A_3rzLAtBuwQp6mA3WveYw9Q7GzIZ))
 - [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**
+  - [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)
@@ -141,11 +159,13 @@ Courses
   - [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/)
 - **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 Systems Lecture Series](https://www.youtube.com/playlist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)
   - [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))
@@ -155,6 +175,7 @@ Courses
   - [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/)
@@ -164,9 +185,7 @@ Courses
 - [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](http://web.stanford.edu/class/ee380/) ([Lecture videos](https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu))
 
-
-------------------------------------------------------------
-
+------------------------------
 
 ### Database Systems
 
@@ -180,7 +199,7 @@ Courses
 - [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)
-- [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](https://15445.courses.cs.cmu.edu/fall2022/) ([YouTube-2017](https://www.youtube.com/playlist?list=PLSE8ODhjZXjYutVzTeAds8xUt1rcmyT7x), [YouTube-2018](https://www.youtube.com/playlist?list=PLSE8ODhjZXja3hgmuwhf89qboV1kOxMx7), [YouTube-2019](https://www.youtube.com/playlist?list=PLSE8ODhjZXjbohkNBWQs_otTrBTrjyohi), [YouTube-2021](https://www.youtube.com/playlist?list=PLSE8ODhjZXjZaHA6QcxDfJ0SIWBzQFKEG), [YouTube-2022](https://www.youtube.com/playlist?list=PLSE8ODhjZXjaKScG3l0nuOiDTTqpfnWFf))
 - [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 Advanced Database Systems (Spring 2019) - CMU](https://www.youtube.com/playlist?list=PLSE8ODhjZXja7K1hjZ01UTVDnGQdx5v5U)
 - [CS122 - Relational Database System Implementation, Winter 2014-2015 - Caltech](http://users.cms.caltech.edu/~donnie/cs122/)
@@ -192,7 +211,7 @@ Courses
 - [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](https://open.hpi.de/courses/imdb2013/items/72j6pftms3dOSunM98JhfW)
 - [Distributed Data Management (WT 2019/20) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1285/)
-
+- [CS122d - NoSQL Data Management (Spring 21) - Prof. Mike Carey - UC Irvine](https://uci.yuja.com/V/PlayList?node=9933576&a=1583628376&autoplay=1)
 
 ------------------------------
 
@@ -206,7 +225,7 @@ Courses
   - [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)
+  - [CS3 - Design in Computing - Richard Buckland UNSW](https://www.youtube.com/playlist?list=PL0C5D85DBA20E685C)
   - [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**
@@ -214,7 +233,7 @@ Courses
   - [Computer Science 169- Software Engineering - Fall 2019 - UCBerkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIxCKgzL0uysjsAtfY3JawLS)
   - [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/)
+  - [CS 164 Software Engineering - Harvard](https://www.youtube.com/watch?v=3zdfCR6c8vw&list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS)
   - [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/)
@@ -234,7 +253,7 @@ Courses
   - [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/)
   - [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)
@@ -250,6 +269,7 @@ Courses
 ------------------------------
 
 ### 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/)
@@ -272,14 +292,14 @@ Courses
 - [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)
+- [T81-558: Applications of Deep Neural Networks by Jeff Heaton, 2022, Washington University in St. Louis](https://sites.wustl.edu/jeffheaton/t81-558/)
 
---------------
+------------------------------
 
 ### 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)
   - [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))
@@ -288,9 +308,12 @@ Courses
   - [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)
+  - [Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)](https://www.youtube.com/playlist?list=PLoROMvodv4rNH7qL6-efu_q2_bPuy0adh)
   - [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))
+  - [CS 446 - Machine Learning, Fall 2016, UIUC](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/)
@@ -330,6 +353,21 @@ Courses
   - [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/)
+  - [Machine Learning for Engineers 2022](https://apmonitor.com/pds) ([YouTube](https://www.youtube.com/watch?v=Gh5rbBLh4JY&list=PLLBUgWXdTBDg1K1bu60lHypSzSP-WSBmx))
+  - [10-418 / 10-618 (Fall 2019) Machine Learning for Structured Data](https://www.youtube.com/playlist?list=PL4CxkUJbvNVihRKP4bXufvRLIWzeS-ieP)
+  - [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)
+  - [CPSC 330: Applied Machine Learning (2020) - UBC](https://www.youtube.com/playlist?list=PLWmXHcz_53Q2BXsWviGgEqdlSHmfsjSzC)
+  - [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)
+  - [100 Days of Machine Learning - CampusX (Hindi)](https://www.youtube.com/playlist?list=PLKnIA16_Rmvbr7zKYQuBfsVkjoLcJgxHH)
 - **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))
@@ -356,6 +394,7 @@ Courses
   - [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))
 - **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)
@@ -365,15 +404,24 @@ Courses
   - [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)
   - [Deep Learning CMU](https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/videos)
+  - [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)
+  - [Self-Driving Cars — Andreas Geiger, 2021/22](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/self-driving-cars/) ([YouTube](https://www.youtube.com/watch?v=wAaSJUAKPuY&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr))
   - [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)
+  - [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)
@@ -387,6 +435,15 @@ Courses
   - [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)
+  - [Geometric Deep Learning - AMMI](https://www.youtube.com/playlist?list=PLn2-dEmQeTfQ8YVuHBOvAhUlnIPYxkeu3)
+  - [Math for Deep Learning — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij0bo4UtMdzEJ6TiLOqj4ZCm)
+  - [Applied Deep Learning 2022 - TU Wien](https://www.youtube.com/playlist?list=PLNsFwZQ_pkE_QaTwYxoTmmRJHtMXyIAU6)
+  - [Neural Networks: Zero to Hero - Andrej Karpathy](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ)
+  - [CIS 522 - Deep Learning - U Penn](https://www.youtube.com/@cis522-deeplearning8/playlists)
+  - [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
+  - [Deep Learning (Fall 2020) - Georgia Tech](https://www.youtube.com/playlist?list=PL-fZD610i7yB7gDnPDpFcKpHI9X8z3OQ7)
+  - [CS7015 - Deep Learning - Prof. Mitesh M. Khapra - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M9gCgajvQbc68Hk_JKGBAYT)
+  - [ETH Zürich | Deep Learning in Scientific Computing 2023](https://www.youtube.com/playlist?list=PLJkYEExhe7rYY5HjpIJbgo-tDZ3bIAqAm)
 - **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)
@@ -401,40 +458,47 @@ Courses
   - [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)
+  - [Reinforcement Learning Course at KTH (FDD3359 - 2022)](https://www.youtube.com/playlist?list=PL21JFJEtbq0JLNo53UIkbIwkc2njCVUUR)
+  - [Reinforcement Learning Course at ASU, Spring 2022](https://www.youtube.com/playlist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj)
+  - [CS 4789/5789: Introduction to Reinforcement Learning - Cornell](https://www.youtube.com/playlist?list=PLQVNhPb8ajtCjWSKUvKU8cX5lueYP9s3X)
+  - [S20/IE613 - Online (Machine) Learning/ Bandit Algorithms](https://www.youtube.com/playlist?list=PLDREIwGwrHBdiBm1q0cVJLZn4Cn6Hig2s)
+  - [Reinforcement Learning - Fall 2021 chandar-lab](https://www.youtube.com/playlist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)
 - **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)
+  - [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))
-- **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))
+- **Natural Language Processing**
+  - [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http://web.stanford.edu/class/cs224n/) ([Lectures -  Winter 2019](https://youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures -  Winter 2021](https://youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ))
+  - [CS 224N - Natural Language Processing, Stanford University](https://web.stanford.edu/~jurafsky/NLPCourseraSlides.html) ([Lecture videos](https://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab))
   - [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)
+  - [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)
+  - [Natural Language Processing - IIT Bombay](https://nptel.ac.in/courses/106101007/)
+  - [CMU Advanced NLP 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AYSXn_GKVgwXVluCT9chJ6)
+  - [CMU Neural Nets for NLP 2021](https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV)
+  - [Natural Language Processing - Michael Collins - Columbia University](https://www.youtube.com/playlist?list=PLA212ij5XG8OTDRl8IWFiJgHR9Ve2k9pv)
+  - [CMU CS11-737 - Multilingual Natural Language Processing](https://www.youtube.com/playlist?list=PL8PYTP1V4I8CHhppU6n1Q9-04m96D9gt5)
+  - [UMass CS685: Advanced Natural Language Processing (Spring 2022)](https://www.youtube.com/playlist?list=PLWnsVgP6CzadI4-FT2Po4wsEK7MHCIQ-d)
+  - [Natural Language Processing (CMSC 470)](https://www.youtube.com/playlist?list=PLwrUPjGidcJ4UkSoi7_rmn-1kcedLqgdL)
+- **ML based Computer Vision**
+  - [CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv)
+  - [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)
   - [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)
+  - [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))
   - [10-725 Convex Optimization, Spring 2015 - CMU](http://www.stat.cmu.edu/~ryantibs/convexopt-S15/)
@@ -458,14 +522,16 @@ Courses
   - [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)	
 
 ------------------------------
 
 
 ### 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)
@@ -488,28 +554,29 @@ Courses
 - [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/)
+  - [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/)
   - [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**
+  - [Statistics - CrashCourse](https://www.youtube.com/playlist?list=PL8dPuuaLjXtNM_Y-bUAhblSAdWRnmBUcr)
   - [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)
   - [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)
@@ -522,11 +589,19 @@ Courses
   - [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/))
+  - [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)
+  - [High-Dimensional Probability](https://www.math.uci.edu/~rvershyn/teaching/hdp/hdp.html)
+  - [Mathematical Statistics](https://www.youtube.com/playlist?list=PLLyj1Zd4UWrOk5-wIki_oOxHJnNj0_437)
+  - [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/)
   - [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/))
@@ -534,20 +609,26 @@ Courses
   - [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))
 - [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)
+- [Essential Mathematics for Machine Learning- July 2018 - IIT Roorkee - YouTube Lectures](https://www.youtube.com/playlist?list=PLLy_2iUCG87D1CXFxE-SxCFZUiJzQ3IvE)
+- [Numerics of Machine Learning (Winter 2022/23) - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij2lwDdj7IkuHoP9vHlEcH0s)
+- [Nonlinear Dynamics and Chaos - Steven Strogatz, Cornell University](https://www.youtube.com/playlist?list=PLbN57C5Zdl6j_qJA-pARJnKsmROzPnO9V)
+- [Nonlinear Dynamics & Chaos - Virginia Tech](https://www.youtube.com/playlist?list=PLUeHTafWecAUqSh3Gy0NNr7H3OsXoC-aK)
 
-
--------------------------
+------------------------------
 
 ### Web Programming and Internet Technologies
-- [Web Design Decal - HTML/CSS/JavaScript Course, University of California, Berkeley](http://live.wdd.io/)
+- [CS50's Web Programming with Python and JavaScript](https://www.edx.org/course/cs50s-web-programming-with-python-and-javascript)
+- [Web Design Decal - HTML/CSS/JavaScript Course, University of California, Berkeley](http://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/)
@@ -561,17 +642,17 @@ Courses
 - [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))
+- [CS 6120: Advanced Compilers: The Self-Guided Online Course - Cornell University](https://www.cs.cornell.edu/courses/cs6120/2020fa/self-guided/)
+- [CS 164 Hack your language, UC Berkeley](https://sites.google.com/a/bodik.org/cs164/home) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLuhjguFxSeVLvKvWwTUIpVwXdLtZPX1ZS))
 - [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/)
@@ -583,6 +664,7 @@ Courses
 - [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 (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)
@@ -608,57 +690,53 @@ Courses
 - [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/)
 - [Languages & Translators - UCLouvain LINFO2132](https://norswap.com/compilers/)
-
--------------------------------
-
-### 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/)
-
+- [Compiler Design by Sorav Bansal](https://www.youtube.com/playlist?list=PLf3ZkSCyj1tf3rPAkOKY5hUzDrDoekAc7)
 
 ------------------------------
 
+### 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 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/)
+- [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)
+- [Software Engineering for Embedded Systems (WS 2011/12) - HPI University 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 University of Potsdam](https://itunes.apple.com/us/itunes-u/software-engineering-for-self/id993578475)
+- [EE260 Embedded Systems by Robert Paz](https://www.youtube.com/playlist?list=PLnvE9iJk1wvib_pdUPdQGYZrkrmg9mf__)
+- [IoT Summer School](https://www.youtube.com/playlist?list=PLHih6DnKQaoYQ5PIT3Tp-UrqUguDYWYQu)
+- [ECSE 421 - Embedded Systems - McGill](http://www.cim.mcgill.ca/~jer/courses/es/)
+- [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/)
+
+------------------------------
 
 ### Real time system evaluation
+
 - [Performance evaluation of Computer systems - IIT Madras](https://nptel.ac.in/courses/106/106/106106048/)
 - [Real Time systems - IIT Karaghpur](https://nptel.ac.in/courses/106/105/106105036/)
 - [EE 380 Colloquim on Computer Systems - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rMWw6rRoeSpkiseTHzWj6vu)
 - [System storages - IISc Bangalore](https://nptel.ac.in/courses/106/108/106108058/)
 
--------------------------------
-
-
+------------------------------
 
 ### 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))
@@ -669,7 +747,7 @@ Courses
   - [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))
+  - [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))
@@ -680,6 +758,7 @@ Courses
   - [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/)
+  - [BE5B35APO - Computer Architectures, Spring 2022, CTU - FEE](https://cw.fel.cvut.cz/b212/courses/b35apo/en/lectures/start) ([YouTube - Spring 2022](https://www.youtube.com/playlist?list=PLQL6z4JeTTQnTrML7HgagbjdpCtvdyu0M)) ([RISC-V simulator - QtRvSim](https://comparch.edu.cvut.cz/))
 - **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))
@@ -692,7 +771,7 @@ Courses
   - [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))
+- [MOOC - From NAND to Tetris - Building 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)
@@ -702,14 +781,15 @@ Courses
 - [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/)
+- [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-)
 - [CS 161: Computer Security, UC Berkeley](https://cs161.org/)
-- [6.875 - Cryptography - Spring 2018- MIT ](https://www.youtube.com/playlist?list=PL6ogFv-ieghe8MOIcpD6UDtdK-UMHG8oH)
+- [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)
@@ -733,17 +813,18 @@ Courses
 - [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)
+- [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)
 
--------
+------------------------------
 
 ### 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)
+- [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)
@@ -759,18 +840,17 @@ Courses
 - [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/)
+- [MOOC - Digital Image processing - Duke/Coursera](https://www.youtube.com/playlist?list=PLZ9qNFMHZ-A79y1StvUUqgyL-O0fZh2rs)
 - [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/))
+- [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/)
@@ -783,7 +863,7 @@ Courses
 - [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)
+- [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)
@@ -795,15 +875,27 @@ Courses
 - [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)
+- [Computational Astrophysics - AstroTwinCoLo, 2015](https://www.youtube.com/playlist?list=PLPdkBLbDPtqoHDcjUweIJqe6GKnOz0-Qw)
+- [Astroinformatics 2019 Conference - Caltech](https://m.youtube.com/playlist?list=PL8_xPU5epJdcv2L4MzpzNd6gPyq6glmjc)
+- [Space Science with Python - Astroniz](https://www.youtube.com/playlist?list=PLNvIBWkEdZ2iCc8G9dvx6MQvBruJG-TE8)
+------------------------------
 
---------------------------------
 ### 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/)
+- [6.802J/ 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)
 - [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/)
@@ -819,26 +911,51 @@ Courses
 - [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)
 
+------------------------------
 
-----------------------------------
 ### 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/)
 
+- [15-859BB: Quantum Computation and Quantum Information 2018 - CMU](https://www.cs.cmu.edu/~odonnell/quantum18/) ([Youtube](https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz))
+- [Ph/CS 219A Quantum Computation - Prof Preskill - Caltech](https://www.youtube.com/playlist?list=PL0ojjrEqIyPy-1RRD8cTD_lF1hflo89Iu)
+- [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)
+- [Quantum Computing](https://www.youtube.com/playlist?list=PLxP0p--aBHmIe--9rczWe4AZmw03e2bz0)
+------------------------------
 
-----------------------------------
 ### Robotics
+
+- [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)
 - [CS 287 - Advanced Robotics, Fall 2011, UC Berkeley](https://people.eecs.berkeley.edu/~pabbeel/cs287-fa11/) ([Videos](http://rll.berkeley.edu/cs287/lecture_videos/))
+- [CMU 16-715 Robot Dynamics 2022 - CMU](https://www.youtube.com/playlist?list=PLZnJoM76RM6ItAfZIxJYNKdaR_BobleLY)
+- [CMU 16-745 Optimal Control 2023 - CMU](https://www.youtube.com/playlist?list=PLZnJoM76RM6KugDT9sw5zhAmqKnGeoLRa)
 - [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)
@@ -854,7 +971,7 @@ Courses
 - [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/)
+- [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/)
@@ -872,39 +989,43 @@ Courses
 - [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)
+- [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/)
+- [Aerial Robotics - University of Pennsylvania (UPenn)](https://www.youtube.com/playlist?list=PLblGgzWkqSqM7IWsgjDetdzZDS1NbkTnd)
+- [Modern Robotics - Northwestern University](https://www.youtube.com/playlist?list=PLggLP4f-rq02vX0OQQ5vrCxbJrzamYDfx)
+- [MIT 6.4210/6.4212 - Robotic Manipulation - MIT](https://manipulation.csail.mit.edu/Fall2022/index.html) ([Youtube](https://www.youtube.com/playlist?list=PLkx8KyIQkMfUSDs2hvTWzaq-cxGl8Ha69))
+- [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)
 
-
-----------------------------------
+------------------------------
 
 ### 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/)
+- [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)
 - [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/)
+- [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/)
 
-
-----------------------------------
+------------------------------
 
 ### Blockchain Development
 
-
 - **Blockchain and Cryptocurrencies**
+  - [Blockchain, Solidity, and Full Stack Web3 Development with JavaScript](https://youtu.be/gyMwXuJrbJQ) 
   - [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/)
+  - [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**
@@ -914,13 +1035,7 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
   - [Solidity, Blockchain, and Smart Contract Course – Beginner to Expert Python Tutorial - FreeCodingCamp](https://www.youtube.com/watch?v=M576WGiDBdQ)
   - [Web 3.0 - Build Realtime Decentralized applications](https://www.youtube.com/playlist?list=PLS5SEs8ZftgVV6ah1fo2IvlHk1kTCy6un)
 
--------------------------
-
-
-
-
-
-
+------------------------------
 
 ### Misc
 
@@ -931,6 +1046,7 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
   - [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**
+ 	- [CS50's Introduction to Game Development](https://www.edx.org/course/cs50s-introduction-to-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**
@@ -946,7 +1062,7 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
 - [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)
+- [Innovative Computing - Harvard University](https://www.youtube.com/playlist?list=PLE3E96113F544495A)
 - [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/)
@@ -956,4 +1072,4 @@ 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/)
 - [CS224w – Social Network Analysis – Autumn 2017 - Stanford University](http://snap.stanford.edu/class/cs224w-videos-2017/)
-
+- [The Missing Semester of Your CS Education](https://missing.csail.mit.edu/)