From f473d00968e43023b875c02f12fddd9429e1fda4 Mon Sep 17 00:00:00 2001 From: Developer-Y Date: Thu, 9 May 2024 11:43:23 +0530 Subject: [PATCH] New courses - algorithms, control. comp sci --- README.md | 29 +++++++++++++++++++++++++++-- 1 file changed, 27 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index dcaed0e..1ff754a 100755 --- a/README.md +++ b/README.md @@ -144,6 +144,12 @@ Table of Contents - [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/) @@ -406,6 +413,8 @@ Table of Contents - [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) - **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/) - [Discrete Mathematical Structures - IIT Madras](https://nptel.ac.in/courses/106106094/) - [Discrete Structures - Pepperdine University](https://itunes.apple.com/us/course/discrete-structures/id546468789) + - [CMU 21 228 Discrete Mathematics spring 2021, by Po-Shen Loh](https://www.youtube.com/playlist?list=PLgTkKBA6LRqYuuQ-LboerRblBoD_q_eUM) - **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/) @@ -668,6 +679,11 @@ Table of Contents - [Causal Inference -- Online Lectures (M.Sc/PhD Level)](https://www.youtube.com/playlist?list=PLyvUJLHD8IsJCB7ALqwjRG1BjL5JxE__H) - [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/) - [Languages & Translators - UCLouvain LINFO2132](https://norswap.com/compilers/) - [Compiler Design by Sorav Bansal](https://www.youtube.com/playlist?list=PLf3ZkSCyj1tf3rPAkOKY5hUzDrDoekAc7) +- [OCaml Programming: Correct + Efficient + Beautiful](https://www.youtube.com/playlist?list=PLre5AT9JnKShBOPeuiD9b-I4XROIJhkIU) +- [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) ------------------------------ @@ -941,6 +962,7 @@ Table of Contents - [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) ------------------------------ @@ -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 - [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/) - [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)