This page contains links to courses/books which are relevant to computer science. Please let me know if any of the links below are not working.
The Art of Computer Programming – Prof. Donald E. Knuth
https://www-cs-faculty.stanford.edu/~knuth/taocp.html
Written by the father of analysis of algorithms, this is the bible for computer scientists. I have a box set which helps me to fill empty space in my closet.
Operating Systems: Three Easy Pieces – Prof. Remzi H. & Prof. Andrea C.
http://pages.cs.wisc.edu/~remzi/OSTEP/
If you want to be mind blown by the beauty of computer systems, take a serious read through this book. It has good amount of humour as well.
Mining of Massive Datasets – Prof. Jure Leskovec, Prof. Anand Rajaraman & Prof. Jeff Ullman
Must read book for data mining and big data algorithms. The book has sufficient breadth and depth. Don’t miss out on solving the exercises.
Machine Learning – Prof. Andrew Ng
https://see.stanford.edu/Course/CS229
This is the great introductory course with sufficient breadth for anyone looking to get started with machine learning.
Database Management Systems – Prof. Jayant Haritsa
http://dsl.cds.iisc.ac.in/~course/DBMS/DBMS.html
One of the finest graduate level DBMS course in the world. Don’t miss out on this course while you are at IISc.
Design and Analysis of Algorithms – Prof. Srinivas Devdas, Prof. Erik Demaine & Prof. Nancy Lynch
If you cannot finish TAOCP (first link), atleast go through this course. It is a complete, and rigourous coverage of essential topics in algorithms.
Computer Architecture – Prof. Onur Mutlu
https://safari.ethz.ch/architecture/fall2018/doku.php
State-of-the-art course on computer architecture design. The reading list is elaborate and the lectures are fun as well.
Reinforcement Learning – Prof. Balaraman Ravindran
https://nptel.ac.in/courses/106106143/
I have nothing to add. Just take this course and feel good about it.
Shriram Ramesh 