Computer Science

Here you can find lists of great Computer Science books are or have been used to teach courses at the University of Toronto.





How to Think Like a Computer Scientist: Learning With Python

By: Allen B. Downey, Jeffrey Elkner, Chris Meyers

2002

Geometric Discrepancy: An Illustrated Guide

By: Jiri Matousek

2009

The Discrepancy Method: Randomness and Complexity

By: Bernard Chazelle

2002

Computational Statistics

By: Geof H. Givens, Jennifer A. Hoeting

2012

Introduction to Probability and Statistics Using R

By: G. Jay Kerns

2010

Theory of Automata: International Series of Monographs in Pure and Applied Mathematics

By: Arto Salomaa, I. N. Sneddon, M. Stark

2014