- [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)
- [Algorithms for Big-Data (Fall 2020) - Saket Saurabh](https://sites.google.com/view/sakethome/teaching/algorithms-for-big-data-fall-2020)
- [CS498ABD - Algorithms for Big Data - UIUC, Fall 2020](https://courses.engr.illinois.edu/cs498abd/fa2020/schedule.html)
- [Advanced Data Structures](https://www.youtube.com/playlist?list=PLN-ShipRKQ0h6jIphD381pHdQtj_APRM8)
- [CS60025 Algorithmic Game Theory - IIT KGP - Winter 2020](http://cse.iitkgp.ac.in/~palash/Courses/2020AlgorithmicGameTheory/agt2020.html)
- [Structural Graph Theory - IIT Madras](https://www.youtube.com/playlist?list=PLtDHG-2klXcEedB8L-jjvb17OIUZbF3gW)
- [Information Theory - IISC Bangalore](https://nptel.ac.in/courses/108/108/108108168/)
------------------------------
@ -228,6 +238,9 @@ Table of Contents
- [CMU 15 440 / 640 Distributed Systems Spring 2022, by Mahadev Satyanarayanan, Padmanabhan Pillai](https://www.youtube.com/playlist?list=PLIygTcviGPKAp30J9kcVW9jPzFC7Otpol)
- [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)
- [Distributed Systems lecture series - Martin Kleppmann](https://www.youtube.com/playlist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB)
- [Distributed Algorithms - Jukka Suomela](https://www.youtube.com/playlist?list=PL2RY7P3JxZN8g9hFCasNqzuDhZbIbAj54)
- [Programming Parallel Computers - Jukka Suomela](https://www.youtube.com/playlist?list=PL2RY7P3JxZN-Pz1nwvnoJ9uEHmOmv4jmi)
- #### **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/)
@ -459,6 +472,8 @@ Table of Contents
- [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))
- [Foundations of Data Analysis (Fall 2020)- University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCqB1sx1eheVmLtp2EN7osYt)
- #### **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))
@ -590,7 +605,8 @@ Table of Contents
- [UC Berkeley CS 194/294-196 Large Language Model Agents Fall 2024, by Dawn Song & Xinyun Chen](https://rdi.berkeley.edu/llm-agents/f24) ([YouTube playlist](https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc))
- [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)
- [Introduction to Large Language Models (LLMs), IIT Delhi](https://www.youtube.com/playlist?list=PLqGkIjcOyrGnjyBHl4GE2S9kX47X96FH-)
- [Natural Language Processing (Spring 2024) - University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43)
- [Natural Language Processing (Spring 2024) - University of Utah](https://www.youtube.com/playlist?list=PLbuogVdPnkCrPZ4Vc-GRnk730SLhC1L43)
- [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/)
@ -780,6 +797,9 @@ Table of Contents
- [UCLA Stats 200C High-dimensional Statistics spring 2022, by Arash Amini](https://www.youtube.com/playlist?list=PLN_qg0-2-0SzyrvojbW4UZQjVG1CnBFMd) ([Spring 2021](https://www.youtube.com/playlist?list=PLN_qg0-2-0Sy-nbvOCLgt6uIQsOnmG-iV))
- [UCLA Stats 203 Large Sample Theory fall 2021, by Jingyi Jessica Li](https://www.youtube.com/playlist?list=PLAYxx7zX5F1P5GG-9U8eJPL_MIsl1_8Zh) ([Fall 2020](https://www.youtube.com/playlist?list=PLAYxx7zX5F1NKukTVwMADi1D5dbufWJkz))
- [UCSD Math 280 Probability Theory and Stochastic Processes, by Todd Kemp](https://mathweb.ucsd.edu/~tkemp/ProbabilityTube/) ([YouTube](https://www.youtube.com/@toddkemp-probability/playlists))
- [6.262 Discrete Stochastic Processes - MIT OCW](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-262-discrete-stochastic-processes-spring-2011/)
- [18.650 Statistics for Applications - MIT OCW](https://ocw.mit.edu/courses/mathematics/18-650-statistics-for-applications-fall-2016/lecture-videos/)
- [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/)
@ -827,6 +847,8 @@ Table of Contents
- [UCLA STAT 100C Linear Models spring 2023, by Arash Amini](https://www.youtube.com/playlist?list=PLN_qg0-2-0SzrzpEoojAa4anJdaKa49GM)
- [MSU Math for Computing](https://www.youtube.com/playlist?list=PLZ-krWGO-UEyLqtyA2pACX_tXXBTLWkI1)
- [Mathematics of Data Science - ETH Zurich](https://www.youtube.com/playlist?list=PLiud-28tsatIKUitdoH3EEUZL-9i516IL)
- [Engineering Mathematics (UW ME564 and ME565) - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNR2W2sPWsYxfrxcASrUt_9j)
- [Beginning Scientific Computing - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNRTVrHYDfjNyqzZ6Q6rsTyf)
------------------------------
@ -912,6 +934,9 @@ Table of Contents
- [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)
- [Spring 2019 - Probabilistically Checkable and Interactive Proof Systems (Alessandro Chiesa)](https://www.youtube.com/playlist?list=PLkFD6_40KJIyWWtxCPBHwGsrutjvwM5_U)
- [Algebraic Coding Theory - Stanford University](https://www.youtube.com/playlist?list=PLkvhuSoxwjI_UudECvFYArvG0cLbFlzSr)
- [CS60094 Computational Number Theory](https://www.youtube.com/playlist?list=PLG63srgJBCAiOJ0hGikoiTq0CsUg_OGKu)
- [UC Berkeley CS184/284A Computer Graphics and Imaging Spring 2022, by Ren Ng](https://cs184.eecs.berkeley.edu/sp22) ([YouTube playlist](https://www.youtube.com/playlist?list=PLIygTcviGPKABEUa7EJzO8tgYRz120EpP))
- [CS 15-458/858: Discrete Differential Geometry - Carnegie Mellon University - Spring 2021](https://brickisland.net/DDGSpring2021/)
------------------------------
@ -1159,6 +1187,8 @@ introduction/id389259246))
- [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)
- [MLCB24 - Machine Learning in Computational Biology Fall 2024](https://www.youtube.com/playlist?list=PLypiXJdtIca4gtioEPLIExlAKvu64z7rc)
- [Introduction to Neural Computation - MIT OCW](https://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-40-introduction-to-neural-computation-spring-2018/)
- [Data Science for Biologists - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNQz4BMoGSsN8cbt8pHlokhV)
------------------------------
@ -1187,6 +1217,10 @@ introduction/id389259246))
- [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)
- [Advanced Topics in Quantum Info Th.](https://www.youtube.com/playlist?list=PLmE1-ewBrbkicLl3pp14OmxRWSfdNYfmh)
- [Theory of Quantum Communication - University of Waterloo - Fall 2020](https://www.math.uwaterloo.ca/~wcleung/co781-f2020.html)
- [Intro to Quantum Computing - Nathan Wiebe](https://www.youtube.com/channel/UCYpyuTbBhQ2FvTmVLL6b3zA/videos)
- [COMS 4281 - Introduction to Quantum Computing -Columbia University](http://www.henryyuen.net/classes/spring2021/)
------------------------------
### Robotics and Control
@ -1251,6 +1285,8 @@ introduction/id389259246))
- [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)
- [Robots That Learn - UC Berkeley CS 294-277](https://www.youtube.com/playlist?list=PLPaC96j0xdLcYLTSoSk9PO1Yg-1udJd-S)
- [Data-Driven Dynamical Systems with Machine Learning - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNR6DzT17-MM1GHLkuYVjhyt)
- [Data-Driven Control with Machine Learning - Steve Brunton](https://www.youtube.com/playlist?list=PLMrJAkhIeNNQkv98vuPjO2X2qJO_UPeWR)