Building Blocks for Theoretical Computer Science
by Margaret M. Fleck
Publisher: University of Illinois, Urbana-Champaign 2013
Number of pages: 271
This book teaches you how to read and write mathematical proofs. It provides a survey of basic mathematical objects, notation, and techniques which will be useful in later computer science courses. And, finally, it gives a brief introduction to some key topics in theoretical computer science: algorithm analysis and complexity, automata theory, and computability.
Home page url
Download or read it online for free here:
by Christos Kalloniatis - InTech
This book may assist researchers on studying the innovative functions of modern information systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies.
by Brian Harvey - The MIT Press
This series is for people who are interested in computer programming because it's fun. The three volumes use the Logo as the vehicle for an exploration of computer science from the perspective of symbolic computation and artificial intelligence.
by Allen B. Downey
This book teaches you to think like a computer scientist - to combine the best features of mathematics, natural science, and engineering, to use formal languages to denote ideas, to observe the behavior of complex systems, form hypotheses, etc.
by Tony Hey, Stewart Tansley, Kristin Tolle - Microsoft Research
The Fourth Paradigm, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.