README.md

@@ -171,11 +171,6 @@ Table of Contents
 - [Harvard Information Theory 2022, by Gregory Falkovich](https://www.youtube.com/playlist?list=PLDEN2FPNHwVZKAFqfFl1b_NNAESTJwV9o)
 - [Math 510 - Linear Programming and Network Flows - Colorado State University](https://www.math.colostate.edu/~adams/teaching/math510fall2020/)
 - [LINFO 2266 Advanced Algorithms for Optimization 2021, by Pierre Schaus - UCLouvain](https://www.youtube.com/playlist?list=PL682UO4IMem-wgYnJl5yMswlNkve_8oGU)
-- [MIT 6.854 / 18.415 Advanced Algorithms spring 2016, by Ankur Moitra](https://www.youtube.com/playlist?list=PL6ogFv-ieghdoGKGg2Bik3Gl1glBTEu8c)
-- [CMU 10 801 Advanced Optimization and Randomized Algorithms spring 2014, by Suvrit Sra and Alex Smola](https://www.cs.cmu.edu/~suvrit/teach/)
-- [UC Santa Cruz CSE 202 Combinatorial Algorithms spring 2021, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0fbn9zAJfvJoQF1nc50KQR9g)
-- [UC Santa Cruz CSE 104, 204 Computational Complexity fall 2020, spring 2022, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0fYMPFnJeVZ0kt4KPwWcbF0o)
-- [UC Santa Cruz CSE 290A Randomized Algorithms spring 2020, by Seshadhri Comandur](https://www.youtube.com/playlist?list=PLOQjlWvnI0faRpH2oJcyW4CuM5Clt8a2n)
 
 
 ------------------------------
@@ -223,7 +218,6 @@ Table of Contents
   - [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))
   - [CMU 15 440 / 640 Distributed Systems Spring 2022, by Mahadev Satyanarayanan, Padmanabhan Pillai](https://www.youtube.com/playlist?list=PL682UO4IMem8a6N8GAOGkgcbDkGG1g5OH)
   - [UNC Comp533 - Distributed Systems Spring 2020](https://www.youtube.com/playlist?list=PLH5XTBxCO2hzgww9p5sew30lx3ngJsxcB)
-  - [Brown CSCI 1380 Distributed Computer Systems spring 2016, by Tom Doeppner & Rodrigo Fonseca](https://cs.brown.edu/courses/cs138/s16/syllabus.html)
 - #### **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/)
@@ -362,6 +356,7 @@ Table of Contents
   - [10-601 - Introduction to Machine Learning (MS) - Tom Mitchell - 2015, CMU](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) ([YouTube](https://www.youtube.com/playlist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ))
   - [10-601 Machine Learning | CMU | Fall 2017](https://www.youtube.com/playlist?list=PL7k0r4t5c10-g7CWCnHfZOAxLaiNinChk)
   - [10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, CMU](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml) ([Fall 2014](https://www.youtube.com/playlist?list=PL7y-1rk2cCsDZCVz2xS7LrExqidHpJM3B)) ([Spring 2015 by Alex Smola](https://www.youtube.com/playlist?list=PLZSO_6-bSqHTTV7w9u7grTXBHMH-mw3qn))
+  - [10 - 301/601 - Introduction to Machine Learning - Spring 2020 - CMU](https://www.youtube.com/playlist?list=PLpqQKYIU-snAPM89YPPwyQ9xdaiAdoouk)
   - [10 - 301/601 - Introduction to Machine Learning - Fall 2023 - CMU](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22d5bf275d-ff88-4bf6-a865-b065010f55c2%22)
   - [6.036 - Machine Learning, Broderick - MIT Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV)
   - [Mediterranean Machine Learning summer school 2023](https://www.youtube.com/playlist?list=PLF-wkqRv4u1Y-Bret-wrcPypPCZ3Gg_3L)
@@ -387,6 +382,8 @@ Table of Contents
   - [Information Theory, Pattern Recognition, and Neural Networks - University of Cambridge](https://www.youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRVAA-Vcso6)
   - [Python and machine learning - Stanford Crowd Course Initiative](https://www.youtube.com/playlist?list=PLVxFQjPUB2cnYGZPAGG52OQc9SpWVKjjB)
   - [MOOC - Machine Learning Part 1a - Udacity/Georgia Tech](https://www.youtube.com/playlist?list=PLAwxTw4SYaPl0N6-e1GvyLp5-MUMUjOKo) ([Part 1b](https://www.youtube.com/playlist?list=PLAwxTw4SYaPlkESDcHD-0oqVx5sAIgz7O) [Part 2](https://www.youtube.com/playlist?list=PLAwxTw4SYaPmaHhu-Lz3mhLSj-YH-JnG7) [Part 3](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnidDwo9e2c7ixIsu_pdSNp))
+  - [Machine Learning and Pattern Recognition 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/mlpr.htm)
+  - [Introductory Applied Machine Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/iaml.htm)
   - [Pattern Recognition Class (2012)- Universität Heidelberg](https://www.youtube.com/playlist?list=PLuRaSnb3n4kRDZVU6wxPzGdx1CN12fn0w)
   - [Introduction to Machine Learning and Pattern Recognition - CBCSL OSU](https://www.youtube.com/playlist?list=PLcXJymqaE9PPGGtFsTNoDWKl-VNVX5d6b)
   - [Introduction to Machine Learning - IIT Kharagpur](https://nptel.ac.in/courses/106105152/)
@@ -399,8 +396,10 @@ Table of Contents
   - [CS273a: Introduction to Machine Learning](http://sli.ics.uci.edu/Classes/2015W-273a) ([YouTube](https://www.youtube.com/playlist?list=PLkWzaBlA7utJMRi89i9FAKMopL0h0LBMk))
   - [Machine Learning Crash Course 2015](https://www.youtube.com/playlist?list=PLyGKBDfnk-iD5dK8N7UBUFVVDBBtznenR)
   - [COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16](http://inverseprobability.com/mlai2015/)
+  - [10715 Advanced Introduction to Machine Learning](https://sites.google.com/site/10715advancedmlintro2017f/lectures)
   - [Introduction to Machine Learning - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN273tsqyfdrBUsA-o5nUESV)
   - [Machine Learning - Pedro Domingos- University of Washington](https://www.youtube.com/user/UWCSE/playlists?view=50&sort=dd&shelf_id=16)
+  - [Advanced Machine Learning - 2019 - ETH Zürich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwSe98pzMGVR4bjAZZYrNT7L)
   - [Machine Learning (COMP09012)](https://www.youtube.com/playlist?list=PLyH-5mHPFffFwz7Twap0XuVeUJ8vuco9t)
   - [Probabilistic Machine Learning 2020 - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij1tHaOFY96m5uX3J21a6yNd)
   - [Statistical Machine Learning 2020 - Ulrike von Luxburg - University of Tübingen](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC)
@@ -427,12 +426,17 @@ Table of Contents
   - [Machine Learning Hardware and Systems (Cornell Tech, Spring 2022)](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)
   - [ECE 4760 (Digital Systems Design Using Microcontrollers) at Cornell for the Fall, 2022](https://www.youtube.com/playlist?list=PLDqMkB5cbBA5oDg8VXM110GKc-CmvUqEZ)
   - [EfficientML.ai Lecture, Fall 2023, MIT 6.5940](https://www.youtube.com/playlist?list=PL80kAHvQbh-pT4lCkDT53zT8DKmhE0idB)
+  - [CS189 Machine Learning 2022 - UCB](https://www.youtube.com/playlist?list=PL682UO4IMem9vOoABWiaTQ5qN-kHjFCR-)
+  - [ETH Zurich Statistical Learning Theory spring 2021, by Joachim M. Buhmann](https://www.youtube.com/playlist?list=PL682UO4IMem_2ks8_z8ln7yvkHmVBOZCP)
   - [SFU CMPT 727 Statistical Machine Learning spring 2022, 2023, by Maxwell Libbrecht](https://www.youtube.com/playlist?list=PL_5SuHtr8fsp95AhIKeTHbpcVdhlhB9h6)
   - [UC Berkeley CS 189 / 289A Introduction to Machine Learning fall 2023, by Jennifer Listgarten & Jitendra Malik](https://eecs189.org/)
+  - [UC Berkeley CS 189 / 289A Introduction to Machine Learning spring 2022, by Jonathan Shewchuk](https://www.youtube.com/playlist?list=PL682UO4IMem9vOoABWiaTQ5qN-kHjFCR-)
   - [UC Berkeley CS 189 Introduction to Machine Learning (CDSS offering) spring 2022, by Marvin Zhang](https://www.youtube.com/playlist?list=PLCuQm2FL98HTlRmlwMk2AuFEM9n1c06HE)
   - [MIT 6.036 Introduction to Machine Learning spring 2019, by Leslie Kaelbling](https://www.youtube.com/playlist?list=PLQEw29vp6f1Ae9dp8vkKB8H6sF1PHvP5N)
   - [UCLA STAT C161 Introduction to Pattern Recognition and Machine Learning winter 2023, by Arash Amini](https://www.youtube.com/playlist?list=PLN_qg0-2-0SwLCXGUyM3FNSRwG6GNgONr)
+  - [UT Austin Machine Learning Algorithms & Statistical Learning by Adam Klivans & Qiang Liu](https://www.youtube.com/playlist?list=PL682UO4IMem-57hfHijQyk24vR9wq7CWV)
   - [MSU Machine Learning](https://www.youtube.com/watch?v=kMf0qDtQ_PM&list=PLZ-krWGO-UEyPHsZfOjYH03_TyIN2pPhl&pp=iAQB)
+  - [EPFL CS 233 Introduction to Machine Learning fall 2022, by Mathieu Salzmann](https://www.youtube.com/playlist?list=PL682UO4IMem_UeKY1XQIkPq6R9A0MxLHB)
   - [Data Science for Dynamical Systems, by Oliver Wallscheid & Sebastian Peitz](https://www.youtube.com/@UPB_DS4DS-bu8ec/playlists)
   - [STATS C161/C261 - Introduction to Pattern Recognition and Machine Learning Winter 2024](https://www.youtube.com/playlist?list=PLN_qg0-2-0SxQ2vlXxlZVMKkt4gI1YYP8)
   - [Cambridge Statistical Learning in Practice 2021, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT_b7sMBktkAgV9-cP052JFhb)
@@ -442,6 +446,7 @@ Table of Contents
   - [6.0002 Introduction to Computational Thinking and Data Science - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/)
   - [Data 100 - Summer 19- UC Berkeley](https://www.youtube.com/playlist?list=PLPHXc20GewP8J56CisONS_mFZWZAfa7jR)
   - [Distributed Data Analytics (WT 2017/18) - HPI University of Potsdam](https://www.tele-task.de/series/1179/)
+  - [Statistics 133 - Concepts in Computing with Data, Fall 2013 - UC Berkeley](https://www.youtube.com/playlist?list=PL-XXv-cvA_iDsSPnMJlnhIyADGUmikoIO)
   - [Data Profiling and Data Cleansing (WS 2014/15) - HPI University of Potsdam](https://www.tele-task.de/series/1027/)
   - [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/)
@@ -458,13 +463,18 @@ Table of Contents
   - [MOOC - Data Mining with Weka](https://www.youtube.com/playlist?list=PLm4W7_iX_v4NqPUjceOGd-OKNVO4c_cPD)
   - [CS 290 DataMining Lectures](https://www.youtube.com/playlist?list=PLB4CCA346A5741C4C)
   - [CS246 - Mining Massive Data Sets, Winter 2016, Stanford University](https://web.stanford.edu/class/cs246/) ([YouTube](https://www.youtube.com/channel/UC_Oao2FYkLAUlUVkBfze4jg/videos))
+  - [Data Mining: Learning From Large Datasets - Fall 2017 - ETH Zurich](https://www.youtube.com/playlist?list=PLY-OA_xnxFwRHZO6L6yT253VPgrZazQs6)
   - [Information Retrieval - Spring 2018 - ETH Zurich](https://www.youtube.com/playlist?list=PLzn6LN6WhlN1ktkDvNurPSDwTQ_oGQisn)
   - [CAP6673 - Data Mining and Machine Learning - FAU](http://www.cse.fau.edu/~taghi/classes/cap6673/)([Video lectures](https://vimeo.com/album/1505953))
+  - [Data Warehousing and Data Mining Techniques - Technische Universität Braunschweig, Germany](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/dwh)
   
 - #### **Probabilistic Graphical Modeling**
+  - [MOOC - Probabilistic Graphical Models - Coursera](https://www.youtube.com/playlist?list=PLvfF4UFg6Ejj6SX-ffw-O4--SPbB9P7eP)
   - [CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpvxdF-Gy3gwaBObx7AnQut)
   - [10-708 - Probabilistic Graphical Models, Carnegie Mellon University](https://www.cs.cmu.edu/~epxing/Class/10708-20/lectures.html)
   - [Probabilistic Graphical Models, Daphne Koller, Stanford University](http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels)
+  - [Probabilistic Models - UNIVERSITY OF HELSINKI](https://www.cs.helsinki.fi/en/courses/582636/2015/K/K/1)
+  - [Probabilistic Modelling and Reasoning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/pmr.htm)
   - [Probabilistic Graphical Models, Spring 2018 - Notre Dame](https://www.youtube.com/playlist?list=PLd-PuDzW85AcV4bgdu7wHPL37hm60W4RM)
   
 - #### **Deep Learning**
@@ -496,6 +506,7 @@ Table of Contents
   - [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
   - [Neural Networks and Applications - IIT Kharagpur](https://nptel.ac.in/courses/117105084/)
   - [UVA DEEP LEARNING COURSE](http://uvadlc.github.io/#lecture)
+  - [Nvidia Machine Learning Class](https://www.youtube.com/playlist?list=PLTIkHmXc-7an8xbwhAJX-LQ4D4Uf-ar5I)
   - [Deep Learning - Winter 2020-21 - Tübingen Machine Learning](https://www.youtube.com/playlist?list=PL05umP7R6ij3NTWIdtMbfvX7Z-4WEXRqD)
   - [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)
@@ -506,12 +517,18 @@ Table of Contents
   - [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)
+  - [CMU 10 707 Deep Learning fall 2017 by Ruslan Salakhutdinov](https://www.youtube.com/playlist?list=PL682UO4IMem_lRk9A7mOEj0jwhko0X_Tc)
+  - [UT Austin CS 394D Deep Learning fall 2021, by Philipp KrahenBühl](https://www.youtube.com/playlist?list=PL682UO4IMem_B72vmX4r0v3UrAjPRFAnE)
+  - [CMU 10 417 / 10 617 Intermediate Deep Learning fall 2022, by Ruslan Salakhutdinov](https://www.youtube.com/playlist?list=PL682UO4IMem8A3WUecf30olVT--FhRK7h)
   - [CS294 Deep Unsupervised Learning Spring 2024](https://sites.google.com/view/berkeley-cs294-158-sp24/home)
   - [Applied Deep Learning Maziar Raissi](https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4)
+  - [STATS 385 Analysis of Deep Learning - Stanford](https://www.youtube.com/playlist?list=PL682UO4IMem-dTd5O5SOj-J723BcA-CAw)
+  - [STATS 385 Theories of Deep Learning - Stanford](https://www.youtube.com/playlist?list=PL682UO4IMem-nYDzn1qQbq_ql3G9DDebS)
   
 - #### **Reinforcement Learning**
   - [CS234: Reinforcement Learning - Winter 2019 - Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u)
   - [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
+  - [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
   - [Reinforcement Learning - IIT Madras](https://www.youtube.com/playlist?list=PLyqSpQzTE6M_FwzHFAyf4LSkz_IjMyjD9)
   - [CS885 Reinforcement Learning - Spring 2018 - University of Waterloo](https://www.youtube.com/playlist?list=PLdAoL1zKcqTXFJniO3Tqqn6xMBBL07EDc)
   - [CS 285 - Deep Reinforcement Learning- UC Berkeley](https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A)
@@ -530,7 +547,6 @@ Table of Contents
   - [CMU 10 703 Deep Reinforcement Learning & Control fall 2022, by Katerina Fragkiadaki](https://scs.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22ee5794a2-cb54-4edc-836b-aefc01023243%22)
   - [ECE524 Foundations of Reinforcement Learning at Princeton University, Spring 2024](https://www.youtube.com/playlist?list=PLYXvCE1En13epbogBmgafC_Yyyk9oQogl)
   - [REINFORCEMENT LEARNING AND OPTIMAL CONTROL - Dimitri P. Bertsekas, ASU](https://web.mit.edu/dimitrib/www/RLbook.html)
-  - [CMU 16 745 Optimal Control and Reinforcement Learning spring by Zac Manchester](https://www.youtube.com/@roboticexplorationlab3724/playlists)
   
 - #### **Advanced Machine Learning**
   - [Advanced Machine Learning, 2021-2022, Sem I - by Prof. Madhavan Mukund, CMI](https://www.cmi.ac.in/~madhavan/courses/aml2021)
@@ -553,6 +569,7 @@ Table of Contents
   - [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)
@@ -563,7 +580,6 @@ Table of Contents
   - [Stanford CS25 - Transformers United 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)
   - [Natural Language Processing (IN2361) - TUM](https://live.rbg.tum.de/?year=2019&term=W&slug=nlp&view=3)
   - [CS 886: Recent Advances on Foundation Models Winter 2024 - University of Waterloo](https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/)
-  - [UC Berkeley CS 194/294-267 Understanding Large Language Models Foundations and Safety spring 2024, by Dawn Song & Dan Hendrycks](https://www.youtube.com/playlist?list=PLJ66BAXN6D8H_gRQJGjmbnS5qCWoxJNfe)
   
 - #### **Generative AI**
   - [Stanford CS236: Deep Generative Models I 2023 I Stefano Ermon](https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8)
@@ -575,6 +591,7 @@ Table of Contents
   - [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)
   - [NOC:Deep Learning For Visual Computing - IIT Kharagpur](https://nptel.ac.in/courses/108/105/108105103/)
   - [Deep Learning for Computer Vision - University of Michigan](https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r)
   - [Extreme Classification ](https://www.youtube.com/watch?v=v0rAVyF4rWA&list=PLXtAHOcKKDTk43wjXud9GQS-l-QA5DQxH&pp=iAQB)
@@ -597,15 +614,20 @@ Table of Contents
   - [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)
   - [CS 6955 - Clustering, Spring 2015, University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCpRvi-qSMCdOwyn4UYoPxTI)
   - [Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information](http://blogs.ischool.berkeley.edu/i290-abdt-s12/) ([YouTube](https://www.youtube.com/playlist?list=PLE8C1256A28C1487F))
+  - [CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas](http://granite.ices.utexas.edu/coursewiki/index.php/Main_Page)
   - [CS224W Machine Learning with Graphs | Spring 2021 | Stanford University](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn)
   - [9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT](https://www.youtube.com/playlist?list=PLyGKBDfnk-iDj3FBd0Avr_dLbrU8VG73O)
   - [Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo)
   - [Regularization Methods for Machine Learning 2016](http://academictorrents.com/details/493251615310f9b6ae1f483126292378137074cd) ([YouTube](https://www.youtube.com/playlist?list=PLbF0BXX_6CPJ20Gf_KbLFnPWjFTvvRwCO))
   - [Statistical Inference in Big Data - University of Toronto](http://fields2015bigdata2inference.weebly.com/materials.html)
+  - [Reinforcement Learning 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/rl.htm)
   - [Reinforcement Learning - IIT Madras](https://nptel.ac.in/courses/106106143/)
   - [Statistical Rethinking Winter 2015 - Richard McElreath](https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z)
+  - [Music Information Retrieval - University of Victoria, 2014](http://marsyas.cs.uvic.ca/mirBook/course/)
+  - [PURDUE Machine Learning Summer School 2011](https://www.youtube.com/playlist?list=PL2A65507F7D725EFB)
   - [Foundations of Machine Learning - Blmmoberg Edu](https://bloomberg.github.io/foml/#home)
   - [Introduction to reinforcement learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ)
+  - [Advanced Deep Learning & Reinforcement Learning - UCL](https://www.youtube.com/playlist?list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs)
   - [Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)](https://www.youtube.com/playlist?list=PLAQopGWlIcya-9yzQ8c8UtPOuCv0mFZkr)
   - [Big Data Systems (WT 2019/20) - Prof. Dr. Tilmann Rabl - HPI](https://www.tele-task.de/series/1286/)
   - [Distributed Data Analytics (WT 2017/18) - Dr. Thorsten Papenbrock - HPI](https://www.tele-task.de/series/1179/)
@@ -617,10 +639,8 @@ Table of Contents
   - [Cornell ECE 5545 Machine Learning Hardware and Systems spring 2022, by Mohamed Abdelfattah](https://www.youtube.com/playlist?list=PL0mFAhrXqy9CuopJhAB8GVu_Oy7J0ery6)
   - [High Dimensional Analysis: Random Matrices and Machine Learning by Roland Speicher](https://rolandspeicher.com/lectures/course-on-high-dimensional-analysis-random-matrices-and-machine-learning-summer-term-2023/)([Youtube](https://www.youtube.com/playlist?list=PLY11JnnnTUCabY4nc0hKptrd5qEWtLoo2))
   - [ACP SUMMER SCHOOL 2023 on Machine Learning for Constraint Programming](https://www.youtube.com/playlist?list=PLcByDTr7vRTYJ2s6DL-3bzjGwtQif33y3)
-  - [EE512A - Advanced Inference in Graphical Models, Fall Quarter, 2014](https://people.ece.uw.edu/bilmes/classes/ee512/ee512_fall_2014/)
+  - [EPFL COM 516 Markov Chains and Algorithmic Applications spring 2020, by Olivier Leveque](https://www.youtube.com/playlist?list=PL682UO4IMem-9ID1nBaWYCFCh_qU7yYNd)
-  - [UIUC STAT 437 Unsupervised Learning spring 2024, by Tori Ellison](https://www.youtube.com/playlist?list=PLIygTcviGPKB133Vh7zxsxFoblyfS4P5Y)
+  - [UC Irvine CS 274B Learning in Graphical Models spring 2021, by Erik Sudderth](https://www.youtube.com/playlist?list=PL682UO4IMem_-FJQo4HfyIfOr2dG8QF_Y)
-  - [University of Wisconsin-Madison CS/ECE 561 - Probability and Information Theory in Machine Learning fall 2020, by Matthew Malley](https://mediaspace.wisc.edu/channel/CS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913)
-
 
 ------------------------------
 
@@ -834,7 +854,6 @@ Table of Contents
 - [Columbia ELEN E6711 Stochastic Models in Information Systems fall 2005, by Yuliy Barsyhnikov](https://www.youtube.com/playlist?list=PL682UO4IMem9dvI-8vjxlPkM5onW9WoIp)
 - [Columbia ELEN E6717 Information Theory fall 2003, by Vittorio Castelli](https://www.youtube.com/playlist?list=PL682UO4IMem_IUZIFzlJi8vCTtS-Xi8eY)
 - [CMU 21 738 Extremal Combinatorics spring 2020, by Po-Shen Loh](https://www.youtube.com/playlist?list=PLgTkKBA6LRqaGKITvQS1QuIBoEbOVwFTm)
-- [JHU Domain-Specific Languages (DSL) Class (Summer 2018)](https://www.youtube.com/playlist?list=PLW-6wqFEcgTqHMXV_8jI43QLkCv8VgqLk)
 
 ------------------------------
 
@@ -874,8 +893,6 @@ Table of Contents
 - [High Performance Computing - IISC Bangalore](https://www.youtube.com/playlist?list=PL2F82ECDF8BB71B0C)
 - [2023 High Performance Computing Course Prof Dr - Ing Morris Riedel](https://www.youtube.com/playlist?list=PLmJwSK7qduwUBwrFn3SY8vi4AYa2rVTWH) ([2022](https://www.youtube.com/playlist?list=PLmJwSK7qduwWyqcSEB45HOyxq--z8njix))
 - [High Performance Computing | Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPk8NaXIiFQXWK6VPnrtMRXC)
-- [UCLA Stats 205 Hierarchical Linear Models spring 2024, by Jingyi Jessica Li](https://www.youtube.com/playlist?list=PLAYxx7zX5F1O2HbRr4gORnscbM9EszYbK)
-- [UF EML 6934 Optimal Control spring 2012, by Anil V. Rao](https://www.youtube.com/playlist?list=PLIygTcviGPKBCJ9JyHfBi4ftc9FDCtaBc)
 
 ------------------------------
 
@@ -966,7 +983,6 @@ Table of Contents
 - [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 Systems Security](https://www.csa.iisc.ac.in/~vg/teaching/SecurityLectures/)
-- [UC Berkeley CS 161 Computer Security summer 2021, by Nicholas Ngai and Peyrin Kao](https://www.youtube.com/playlist?list=PLIygTcviGPKAPoe_0mUsXYaxZfsFyQyFE)
 
 ------------------------------
 
@@ -980,24 +996,30 @@ Table of Contents
 - [Computer Graphics 2012, Wolfgang Huerst, Utrecht University](https://www.youtube.com/playlist?list=PLDFA8FCF0017504DE)
 - [CS 5630/6630 - Visualization, Fall 2016, University of Utah](http://dataviscourse.net/2016/index.html) ([Lectures - Youtube](https://www.youtube.com/playlist?list=PLbuogVdPnkCpQY3miQpTJtnHgCLze2lr0))
 - [Advanced Visualization UC Davis](https://www.youtube.com/playlist?list=PLslgisHe5tBNnySlj9TlL-n-4jNEK-xgi)
+- [CSCI E-234 - Introduction to Computer Graphics and GPU Programming, Harvard Extension School](https://itunes.apple.com/us/itunes-u/csci-e-234-introduction-to/id429428034?mt=10)
 - [Computer Graphics Fall 2011, Barbara Hecker](https://www.youtube.com/playlist?list=PL9C949E9F19381E61)
+- [Introduction to Graphics Architecture](https://www.youtube.com/playlist?list=PL4A8BA1C3B38CFCA0)
 - [Ray Tracing for Global Illumination, UCDavis](https://www.youtube.com/playlist?list=PLslgisHe5tBPckSYyKoU3jEA4bqiFmNBJ)
 - [Rendering / Ray Tracing Course, SS 2015 - TU Wien](https://www.youtube.com/playlist?list=PLujxSBD-JXgnGmsn7gEyN28P1DnRZG7qi)
-introduction/id389259246))
+- [ECS 178 Introduction to Geometric Modeling, Fall 2012, UC Davis](http://graphics.cs.ucdavis.edu/~joy/ecs178/Units.html) ([iTunes](https://itunes.apple.com/us/itunes-u/computer-science-introduction/id389259246))
 - [Computational Geometry - IIT Delhi](https://nptel.ac.in/courses/106102011/)
 - [CS 468 - Differential Geometry for Computer Science - Stanford University](http://graphics.stanford.edu/courses/cs468-13-spring/schedule.html) ([Lecture videos](https://www.youtube.com/playlist?list=PL_deCdukpyu1rdH85XsEEREbpoqEauiJl))
 - [CMU 15-462/662: Computer Graphics](http://15462.courses.cs.cmu.edu/fall2020/)
+- [Columbia COMS W4195 Computational Techniques in Pixel Processing fall 2004, by George Wolberg](https://www.youtube.com/playlist?list=PL682UO4IMem_b-jqraajuGCaZgOG4Uhr5)
 
 ------------------------------
 
 ### Image Processing and 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))
 - [EE637 - Digital Image Processing I - Purdue University](https://engineering.purdue.edu/~bouman/ece637/) ([Videos - Sp 2011](https://www.youtube.com/user/ModelBasedImaging),[Videos - Sp 2007](https://engineering.purdue.edu/~bouman/ece637/lectures/lectures07/))
 - [Computer Vision I: Variational Methods - TU München](https://vision.in.tum.de/teaching/ws2015/vmcv2015) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJ7A2iIH5L5ztqqrWYjP2RI))
 - [Computer Vision II: Multiple View Geometry (IN2228), SS 2016 - TU München](https://vision.in.tum.de/teaching/ss2016/mvg2016) ([YouTube](https://www.youtube.com/playlist?list=PLTBdjV_4f-EJn6udZ34tht9EVIW7lbeo4))
+- [EGGN 510 - Image and Multidimensional Signal Processing - Colorado School of Mines](http://inside.mines.edu/~whoff/courses/EENG510/lectures/)
 - [EENG 512/CSCI 512 - Computer Vision - Colorado School of Mines](https://www.youtube.com/playlist?list=PL4B3F8D4A5CAD8DA3)
 - [Computer Vision for Visual Effects - RPI](https://www.ecse.rpi.edu/~rjradke/cvfxcourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a))
 - [Introduction to Image Processing - RPI](https://www.ecse.rpi.edu/~rjradke/improccourse.html) ([YouTube](https://www.youtube.com/playlist?list=PLuh62Q4Sv7BUf60vkjePfcOQc8sHxmnDX))
@@ -1015,6 +1037,7 @@ introduction/id389259246))
 - [Biometrics - IIT Kanpur](https://nptel.ac.in/courses/106104119/)
 - [Quantitative Big Imaging 2019 ETH Zurich](https://www.youtube.com/playlist?list=PLTWuXgjdOrnmXVVQG5DRkVeOIGOcTmCIw)
 - [Multiple View Geometry in Computer Vision](https://www.youtube.com/playlist?list=PLyH-5mHPFffFvCCZcbdWXAb_cTy4ZG3Dj)
+- [3D Coordinate Systems – Remote Course (GE, 2020) - University of Bonn](https://www.ipb.uni-bonn.de/3dcs-ge-2020/) ([2013 lectures](https://www.ipb.uni-bonn.de/teaching/3d-coordinate-systems-podcasts/))
 - [Modern C++ Course For CV (2020) - University of Bonn](https://www.ipb.uni-bonn.de/teaching/cpp-2020/lectures)
 - [Photogrammetry 1 Course – 2020 - University of Bonn](https://www.ipb.uni-bonn.de/photo1-2020/)
 - [Photogrammetry II Course 2020/21 - University of Bonn](https://www.ipb.uni-bonn.de/photo2-2020/)
@@ -1064,12 +1087,6 @@ introduction/id389259246))
 - [BIO410/510 Bioinformatics - California State University, Monterey Bay](https://www.youtube.com/playlist?list=PL17NIL2mko8mOPN9W0e4LOjJ2Dkome7ZH)
 - [BIO412: Comparative Genomics - California State University, Monterey Bay](https://www.youtube.com/playlist?list=PL17NIL2mko8nJ1RvfIwtaFnukoWICqS5B)
 - [CENG 465 - Introduction to Bioinformatics (Spring 2020-2021)](https://www.youtube.com/playlist?list=PL0X39D1PSBWPfCPbHb8GC7hoev8SG4Aye)
-- [UCLA Stats M254 Statistical Methods in Computational Biology spring 2024, by Jingyi Jessica Li](https://www.youtube.com/playlist?list=PLAYxx7zX5F1PieIIeSFc7asuKWRYm6nGy)
-- [Cell and Molecular Biology for Engineers  ETH Zurich](https://video.ethz.ch/lectures/d-itet/2011/autumn/227-0945-00L/8e6b12f7-d8cc-4f78-83b1-352876a266d0.html)
-- [Statistical Models in Computational Biology](https://video.ethz.ch/lectures/d-bsse/2018/spring/636-0702-00L/21c63925-cd10-4d56-bac1-b412ed6fe385.html)
-- [ETH Zürich Statistical Models in Computational Biology spring 2018, by Niko Beerenwinkel](https://video.ethz.ch/lectures/d-bsse/2018/spring/636-0702-00L/21c63925-cd10-4d56-bac1-b412ed6fe385.html)
-- [UC Berkeley CS 198-96 Introduction to Neurotechnology fall 2020](https://github.com/neurotech-berkeley/neurotech-course)
-
 
 ------------------------------
 
@@ -1123,6 +1140,7 @@ introduction/id389259246))
 - [Robot Mechanics and Control, SNU](https://www.youtube.com/playlist?list=PLkjy3Accn-E7mlbuSF4aajcMMckG4wLvW)
 - [Introduction to Robotics Course - UNCC](https://www.youtube.com/playlist?list=PL4847E1D1C121292F)
 - [SLAM Lectures](https://www.youtube.com/playlist?list=PLpUPoM7Rgzi_7YWn14Va2FODh7LzADBSm)
+- [Introduction to Vision and Robotics 2015/16- University of Edinburgh](http://groups.inf.ed.ac.uk/vision/VIDEO/2015/ivr.htm)
 - [ME 597 – Autonomous Mobile Robotics – Fall 2014](http://wavelab.uwaterloo.ca/index6ea9.html?page_id=267)
 - [ME 780 – Perception For Autonomous Driving – Spring 2017](http://wavelab.uwaterloo.ca/indexaef8.html?page_id=481)
 - [ME780 – Nonlinear State Estimation for Robotics and Computer Vision – Spring 2017](http://wavelab.uwaterloo.ca/indexe9a5.html?page_id=533)
@@ -1135,6 +1153,7 @@ introduction/id389259246))
 - [Mechatronic System Design - TU Delft](https://ocw.tudelft.nl/courses/mechatronic-system-design/)
 - [CS 206 Evolutionary Robotics Course Spring 2020](https://www.youtube.com/playlist?list=PLAuiGdPEdw0inlKisMbjDypCbvcb_GBN9)
 - [Foundations of Robotics - UTEC 2018-I](https://www.youtube.com/playlist?list=PLoWGuY2dW-Acmc8V5NYSAXBxADMm1rE4p)
+- [Robotics - Youtube](https://www.youtube.com/playlist?list=PL_onPhFCkVQhuPiUxUW2lFHB39QsavEEA)
 - [Robotics and Control: Theory and Practice IIT Roorkee](https://www.youtube.com/playlist?list=PLLy_2iUCG87AjAXKbNMiKJZ2T9vvGpMB0)
 - [Mechatronics](https://www.youtube.com/playlist?list=PLtuwVtW88fOeTFS_szBWif0Mcc0lfNWaz)
 - [ME142 - Mechatronics Spring 2020 - UC Merced](https://www.youtube.com/playlist?list=PL-euleXgwWUNQ80DGq6qopHBmHcQyEyNQ)
@@ -1147,6 +1166,8 @@ introduction/id389259246))
 - [Robot Mapping - WS 2018/19 - Universität Freiburg](http://ais.informatik.uni-freiburg.de/teaching/ws18/mapping/)
 - [Mechanism and Robot Kinematics - IIT Kharagpur](https://nptel.ac.in/courses/112/105/112105236/)
 - [Self-Driving Cars - Cyrill Stachniss - Winter 2020/21 - University of Bonn)](https://www.youtube.com/playlist?list=PLgnQpQtFTOGQo2Z_ogbonywTg8jxCI9pD)
+- [Mobile Sensing and Robotics 1 – Part Stachniss (Jointly taught with PhoRS) - University of Bonn](https://www.ipb.uni-bonn.de/msr1-2020/)
+- [Mobile Sensing and Robotics 2 – Stachniss & Klingbeil/Holst - University of Bonn](https://www.ipb.uni-bonn.de/msr2-2020/)
 - [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))
@@ -1155,10 +1176,14 @@ introduction/id389259246))
 - [Self-Driving Cars — Andreas Geiger](https://www.youtube.com/playlist?list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr)
 - [Signal Processing: An Introduction by Nathan Kutz](https://www.youtube.com/playlist?list=PL6Vi_EcJpt8E96_JTKoOKY3HYWVGjf6b4)
 - [UC Santa Barbara ME 269 Network Systems, Dynamics and Control fall 2021, by Francesco Bullo](https://www.youtube.com/playlist?list=PL7bpQ3f3TaeMsueY06FCmbNIEOOY-Ri2_)
+- [EPFL EE 611 Linear System Theory spring 2020, by Philippe Müllhaupt](https://www.youtube.com/playlist?list=PL682UO4IMem8OCzyAhDQECF4og9UymP-m)
+- [EPFL ME 427 Networked Control Systems spring 2020, by Giancarlo Ferrari Trecate](https://www.youtube.com/playlist?list=PL682UO4IMem9u8dIKvXWBsq7BscoghoVo)
+- [EPFL ME 422 Multivariable Control spring 2020, by Giancarlo Ferrari Trecate](https://www.youtube.com/playlist?list=PL682UO4IMem9vEw3P4dkSHQjsaN6aIuFx)
 - [CMU 16 299 Introduction to Feedback Control Systems spring 2022, by Chris Atkeson](http://www.cs.cmu.edu/~cga/controls-intro-22/)
 - [MAE 509 Linear Matrix Inequality Methods in Optimal and Robust Control, by Matthew M. Peet](https://www.youtube.com/playlist?list=PL5ebyVGQORm6n158o-I_liUZ7Q5Od43li)
 - [UIUC CS 588 Autonomous Vehicle System Engineering fall 2021, by David Forsyth](http://luthuli.cs.uiuc.edu/~daf/courses/MAAV-21/588-2021-records.html)
 - [EPFL ME 425 Model Predictive Control fall 2020, by Colin Jones](https://www.youtube.com/playlist?list=PLHmHXT53cpnkpbwLqlKae0iKexM8SXKDM)
+- [UW EE 549 State Estimation and Kalman Filtering spring 2009, by Kristi Morgansen](https://www.youtube.com/playlist?list=PL682UO4IMem9jhuFhwS3UYexvGTTC4duu)
 
 ------------------------------
 
@@ -1179,7 +1204,6 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
 - [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/)
-- [Harvard Economics 2355 Deep Learning for Economics spring 2023, by Melissa Dell](https://www.youtube.com/playlist?list=PLGTgQIsun7ueGTRzDlBWqgX6xBlMce-QC)
 
 ------------------------------
 
@@ -1218,13 +1242,20 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
   - [Spatial Regression Analysis, Spring 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenkk7x197-CKPFZ0BuAOCRGT)
   - [Spatial Data Science, Autumn 2017, University of Chicago](https://www.youtube.com/playlist?list=PLzREt6r1Nenlu-MBaxCRL2KZNk62n7o1g)
   - [Introduction to Geographic Information Systems - IIT Roorkee](https://nptel.ac.in/courses/105107155/)
+- [SCICOMP - An Introduction to Efficient Scientific Computation, Universität Bremen](http://mlecture.uni-bremen.de/ml/index.php?option=com_content&view=article&id=233)
+- [CS E-259 XML with Java, Java Servlet, and JSP - Harvard](http://cs259.tv/2007/fall/)
+- [CSE 40373 - Spr 2009: Multimedia Systems](https://www.youtube.com/view_play_list?p=0105F1427EFAEE0A)
+- [Exposing Digital Photography - Harvard Extension School](http://tv.digitalphotography.exposed/2010/fall/)
 - [MOOC - Matlab - Coursera](https://youtu.be/6iN56l7dEMY)
 - [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/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/)
+- [CS 195 - Social Implications of Computing, Spring 2015 - UC Berkeley](http://inst.eecs.berkeley.edu/~cs195/sp15/) ([YouTube](https://www.youtube.com/playlist?list=PL-XXv-cvA_iAmCxqGV1Px2pKchYfozH-e))
+- [Spatial Databases and Geographic Information Systems - Technische Universität Braunschweig, Germany (in German)](http://www.ifis.cs.tu-bs.de/teaching/ws-1617/gis)
 - [Dependable Systems (SS 2014) - HPI University of Potsdam](https://www.tele-task.de/series/1005/)
 - [Business Process Compliance (WT 2013/14) - HPI University of Potsdam](https://www.tele-task.de/series/979/)
 - [Design Thinking for Digital Engineering (SS 2018) - Dr. Julia von Thienen - HPI](https://www.tele-task.de/series/1206/)
@@ -1233,10 +1264,4 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
 - [University of Crete, Computer Science video lectures (mostly Greek language lectures, very few 100% English-speaking courses). Very popular CS destination for European Erasmus students](https://opencourses.uoc.gr/courses/course/index.php?categoryid=28)
 - [Stanford EE274 I Data Compression: Theory and Applications I 2023](https://www.youtube.com/playlist?list=PLoROMvodv4rPj4uhbgUAaEKwNNak8xgkz)
 - [Probabilistic Methods - University of Waterloo](https://www.youtube.com/playlist?list=PL2BdWtDKMS6nRF72s3TOGyBqXwMVHYiLU)
-- [Free Probability Theory and Ramanujan Graphs - Spring 2024](https://www.youtube.com/playlist?list=PL-FpbJb6Ix_Npx7GSSxnD2BLrLtwkdwt4)
+- [LINGI 2365 Constraint Programming 2021, by Pierre Schaus - UCLouvain](https://www.youtube.com/playlist?list=PL682UO4IMem_f2_aOILBQ6kesW5Gs-A3f)
-- [Asymptotics and perturbation methods - Prof. Steven Strogatz](https://www.youtube.com/playlist?list=PL5EH0ZJ7V0jV7kMYvPcZ7F9oaf_YAlfbI)
-- [ETH Zürich AI in the Sciences and Engineering](https://www.youtube.com/playlist?list=PLJkYEExhe7rYFkBIB2U5pf_RWzYnFLj7r)
-- [Introduction to GIS Programming (Fall 2024) - Open Geospatial Solutions](https://www.youtube.com/playlist?list=PLAxJ4-o7ZoPfb18kNe2luWX9xKg1233i9)
-- [UC Berkeley EE 120 Signals and Systems spring 2019, by Murat Arcak](https://www.youtube.com/playlist?list=PLIygTcviGPKCFASN_5cR04KUST-G97bb-)
-- [Stanford EE 376a winter 2011, Information Theory, by Thomas Cover](https://www.youtube.com/user/classxteam/playlists)
-