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.
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by Carlos Ramírez Gutiérrez - InTech
A compilation of research works on topics such as concept theory, positive relational algebra and k-relations, structured, visual and ontological models of knowledge representation, and detailed descriptions of applications to various domains.
by Stephen Wolfram - Wolfram Media
Starting from a collection of simple computer experiments -- illustrated in the book by striking computer graphics -- Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe.
by Stefan Hugtenburg, Neil Yorke-Smith - TU Delft Open
This is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to CS.
by Chris Bourke - University of Nebraska - Lincoln
A draft of text book for Computer Science I, covering CS1 topics in a generic manner using psuedocode with supplemental parts for specific languages. Computer Science is not programming. Programming is a necessary skill, but it is only the beginning.