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    Discrete Mathematics for Computing (Paperback) By (author) Peter Grossman

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    DescriptionDiscrete Mathematics for Computing presents the essential mathematics needed for the study of computing and information systems. The subject is covered in a gentle and informal style, but without compromising the need for correct methodology. It is perfect for students with a limited background in mathematics. This new edition includes: / An expanded section on encryption / Additional examples of the ways in which theory can be applied to problems in computing / Many more exercises covering a range of levels, from the basic to the more advanced This book is ideal for students taking a one-semester introductory course in discrete mathematics - particularly for first year undergraduates studying Computing and Information Systems. PETER GROSSMAN has worked in both academic and industrial roles as a mathematician and computing professional. As a lecturer in mathematics, he was responsible for coordinating and developing mathematics courses for Computing students. He has also applied his skills in areas as diverse as calculator design, irrigation systems and underground mine layouts. He lives and works in Melbourne, Australia.


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    Title
    Discrete Mathematics for Computing
    Authors and contributors
    By (author) Peter Grossman
    Physical properties
    Format: Paperback
    Number of pages: 328
    Width: 188 mm
    Height: 245 mm
    Thickness: 19 mm
    Weight: 630 g
    Language
    English
    ISBN
    ISBN 13: 9780230216112
    ISBN 10: 0230216110
    Classifications

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.3T
    BIC subject category V2: UYAM
    BISAC V2.8: MAT008000
    DC22: 004.0151
    Thema V1.0: UYAM
    Edition
    3, Revised
    Edition statement
    3rd Revised edition
    Illustrations note
    figures
    Publisher
    Palgrave MacMillan
    Imprint name
    Palgrave MacMillan
    Publication date
    16 December 2008
    Publication City/Country
    Basingstoke
    Author Information
    PETER GROSSMAN has worked in both academic and industrial roles as a mathematician and computing professional. As a lecturer in mathematics, he was responsible for coordinating and developing of mathematics courses for Computer Science students. He is based in Australia and currently works in industry, in the areas of mathematical modelling and software development.
    Table of contents
    List of symbols Introduction to Algorithms Bases and Number Representation Computer Representation and Arithmetic Logic Sets and Relations Functions Induction and Recursion Boolean Algebra and Digital Circuits Combinatorics Introduction to Graph Theory Trees Number Theory Algorithms and Computational Complexity