Mathematics in Computing, 9781447145332
Hardcover
This clearly written and enlightening textbook provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists. describes the basics of coding theory, language theory, and graph theory;

Mathematics in Computing

An Accessible Guide to Historical, Foundational and Application Contexts

$279.91

  • Hardcover

    288 pages

  • Release Date

    16 November 2012

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Summary

This clearly written and enlightening textbook provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists. Topics and features: ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary; places our current state of knowledge within the context of the contributions made by early civilizations, such as the ancient Babylonians, Egypti…

Book Details

ISBN-13:9781447145332
ISBN-10:144714533X
Author:Gerard O’Regan
Publisher:Springer London Ltd
Imprint:Springer London Ltd
Format:Hardcover
Number of Pages:288
Edition:2013th
Release Date:16 November 2012
Weight:5.86kg
Dimensions:235mm x 155mm
What They're Saying

Critics Review

From the reviews:

“This book provides a mathematical context for computing. … Each chapter concludes with a summary and a series of review questions that reinforce the concepts presented. This is all very readable and self-contained, making the book an excellent resource for most academic libraries. Summing Up: Highly recommended. All undergraduate students and informed general audiences.” (D. Z. Spicer, Choice, Vol. 50 (11), July, 2013)

About The Author

Gerard O’Regan

Dr. Gerard O’Regan is a CMMI software process improvement consultant with research interests including software quality and software process improvement; mathematical approaches to software quality; and the history of computing. He is the author of the Springer titles “A Brief History of Computing”, “Introduction to Software Process Improvement”, “Mathematical Approaches to Software Quality” and “A Practical Approach to Software Quality”.

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