- [UIUC CS 498 ABD / CS 598 CSC Algorithms for Big Data fall 2020, by Chandra Chekuri](https://www.youtube.com/playlist?list=PL682UO4IMem_OA8_wY3nnSDLOSWr3PgYa)
- [Algorithms for Data Science spring 2021, by Anil Maheshwari ](https://people.scs.carleton.ca/~maheshwa/courses/ADS/ADS-S20.html)
- [CMU 15 859 Algorithms for Big Data fall 2020, by David Woodruff](http://www.cs.cmu.edu/~dwoodruf/teaching/15859-fall20/index.html)
- [CO 642 Graph Theory - University of Waterloo](https://www.youtube.com/playlist?list=PL2BdWtDKMS6mplieDd_vls0TBX9Fq2jht)
- [COMS W4241 Numerical Algorithms spring 2006, by Henryk Wozniakowski - Columbia](https://www.youtube.com/playlist?list=PL682UO4IMem98vm26lNUJ0TV0-EFrcUJb)
- [Bonn Algorithms and Uncertainty summer 2021, by Thomas Kesselheim](https://www.youtube.com/playlist?list=PLyzcvvgje7aDZRFMJZgaVgOW5t5KLvD1-)
- [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)
------------------------------
@ -188,6 +194,7 @@ Table of Contents
- [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))
- [CMU 15 440 / 640 Distributed Systems spring 2022, by Mahadev Satyanarayanan, Padmanabhan Pillai](https://www.youtube.com/playlist?list=PL682UO4IMem8a6N8GAOGkgcbDkGG1g5OH)
- **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/)
- [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)
- **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))
@ -506,6 +515,7 @@ Table of Contents
- [Reinforcement Learning - Fall 2021 chandar-lab](https://www.youtube.com/playlist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua)
- [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)
- **Advanced Machine Learning**
- [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)
@ -639,6 +649,7 @@ Table of Contents
- [Discrete Mathematics and Mathematical Reasoning 2015/16 - University of Edinburgh](https://www.inf.ed.ac.uk/teaching/courses/dmmr/)
- [6.041 Probabilistic Systems Analysis and Applied Probability - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041sc-probabilistic-systems-analysis-and-applied-probability-fall-2013/)
- [Machine Learning & Causal Inference: A Short Course](https://www.youtube.com/playlist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-)
- [Causal Inference Jonas Peters](https://www.youtube.com/playlist?list=PLzERW_Obpmv-_EXTV1zTmlv-Ab5Tfbp8X)
- [UIUC ECE 534 Random Processes fall 2020 - Ilan Shomorony](https://www.youtube.com/playlist?list=PL682UO4IMem-1IrJp1jTK_w1lh0qOwLx3)
- [ISyE 320 Simulation and Probabilistic Modeling spring 2022, by Qiaomin Xie - University of Wisconsin-Madison](https://www.youtube.com/playlist?list=PL682UO4IMem-7c512A5mwIn_J90z8Awgd)
- [Cambridge Principles of Statistics 2020, by Alberto J. Coca](https://www.youtube.com/playlist?list=PLn1JSlh3WT_YBwXFUfRAb1ZOXnPYDgVNa)
- [UC Berkeley STAT 150 Stochastic Processes spring 2021, by Brett Kolesnik](https://www.youtube.com/playlist?list=PL682UO4IMem_H6exlt8NMfBSc0137_wlo)
- [UIUC Math 564 Applied Stochastic Processes fall 2016, by Kay Kirkpatrick](https://www.youtube.com/playlist?list=PL682UO4IMem-5C_U0ml6O2kM1s1Yo-D9D)
- **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/)
@ -681,6 +697,7 @@ Table of Contents
- [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)
- [MIT 18.S096 Matrix Calculus For Machine Learning And Beyond](https://www.youtube.com/playlist?list=PLUl4u3cNGP62EaLLH92E_VCN4izBKK6OE)
- [Cornell MATH 2940 Linear Algebra for Engineers spring 2009, by Andy Ruina](https://vod.video.cornell.edu/channel/MATH%2B2940%2B-%2BLinear%2BAlgebra%2Bfor%2BEngineers%2BSpring%2B2009/114208531)
- [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)
@ -787,6 +804,10 @@ Table of Contents
- [Theoretical Computer Science (Bridging Course)(Tutorial) - SS 2015](http://ais.informatik.uni-freiburg.de/teaching/ss15/bridging/)
- [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)
- [Columbia COMS W4195 Computational Techniques in Pixel Processing fall 2004, by George Wolberg](https://www.youtube.com/playlist?list=PL682UO4IMem_b-jqraajuGCaZgOG4Uhr5)
------------------------------
@ -1115,8 +1137,8 @@ Table of Contents
- [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)
------------------------------
@ -1195,3 +1217,6 @@ Pricing Theory I / Applied Probability for Mathematical Finance - University of
- [The Missing Semester of Your CS Education](https://missing.csail.mit.edu/)
- [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)
- [LINGI 2365 Constraint Programming 2021, by Pierre Schaus - UCLouvain](https://www.youtube.com/playlist?list=PL682UO4IMem_f2_aOILBQ6kesW5Gs-A3f)
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