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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- Educational Testing Service
This book contains one actual, full-length GRE Computer Science Test and test-taking strategies. The test consists of about 70 multiple-choice questions, some of which are grouped in sets and based on diagrams, graphs, and program fragments.
by Frank van Harmelen, Vladimir Lifschitz, Bruce Porter - Elsevier Science
Knowledge Representation is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation.
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.
by David Reed - Prentice Hall
The book covers concepts in computing that are most relevant to the beginning student, including computer terminology, the Internet and World Wide Web, the history of computing, the organization and manufacture of computer technology, etc.