diff --git a/README.md b/README.md index 0cdd0d0..08cf32e 100755 --- a/README.md +++ b/README.md @@ -1,12 +1,9 @@ ## Computer Science courses with video lectures -### Please Note: UC Berkeley course videos to be taken offline on 15th March 2017. As per website, Beginning March 15, 2017, iTunesU Course Capture content will be removed. You may continue to use/download course capture content until that date. [issue#47](https://github.com/Developer-Y/cs-video-courses/issues/47) - **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. - ------------------------------ Table of Contents @@ -267,7 +264,8 @@ Courses - [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)) - [CS 156 - Learning from Data, Caltech](https://work.caltech.edu/lectures.html) - - [10-601 - Introduction to Machine Learning (MS), CMU](http://www.cs.cmu.edu/~ninamf/courses/601sp15/lectures.shtml) ([YouTube](https://www.youtube.com/playlist?list=PLAJ0alZrN8rD63LD0FkzKFiFgkOmEtltQ)) + - [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)) - [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)) @@ -666,12 +664,15 @@ Courses -------------------------------- ### 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/) - [6.047/6.878 Public Lectures on Computational Biology: Genomes, Networks, Evolution - MIT](http://compbio.mit.edu/lectures.html) - [Bio 84 - Your Genes and Your Health, Stanford University](http://bio84.stanford.edu/) - [BioMedical Informatics 231 Computational Molecular Biology, Stanford University](http://biochem218.stanford.edu/) - [BioMedical Informatics 258 Genomics, Bioinformatics & Medicine, Stanford University](http://biochem158.stanford.edu/) +- [03-251: Introduction to Computational Molecular Biology - Carnegie Mellon University](https://www.youtube.com/playlist?list=PLUKmtlUTHfBPoI70nVz3C-82N4nznc3Iz) +- [03-712: Biological Modeling and Simulation - Carnegie Mellon University](https://www.youtube.com/playlist?list=PLUKmtlUTHfBOgpZFmTvsTwkUh2K1RAse-) - [MOOC - Bioinformatics Algorithms: An Active Learning Approach - UC San Diego/Coursera](http://bioinformaticsalgorithms.com/videos.htm) - [Neural Networks and Biological Modeling - Lecturer: Prof. Wulfram Gerstner - EPFL](http://www.klewel.com/conferences/epfl-neural-networks/) - [Video Lectures of Wulfram Gerstner: Computational Neuroscience - EPFL](http://lcn.epfl.ch/~gerstner/VideoLecturesGerstner.html) @@ -715,6 +716,7 @@ Courses - **Computational Finance** - [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/) + - [COMP510 - Computational Finance - Steven Skiena - 2007 HKUST](https://www.youtube.com/playlist?list=PL9E205B8FAAD530E1) - **HCI** - [CS147 - Introduction to Human-Computer Interaction Design - Stanford](https://hci.stanford.edu/courses/cs147/2015/au/calendar.php) - [CSEP 510 - Human Computer Interaction](https://courses.cs.washington.edu/courses/csep510/04wi/)