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Fundamentals of Discrete Math for Computer Science

A Problem-Solving Primer

  • Textbook
  • © 2018

Overview

  • Updated and enhanced new edition with additional material on directed graphs, and on drawing and coloring graphs, as well as more than 100 new exercises (with solutions)
  • Highly accessible and easy to read, introducing concepts in discrete mathematics without requiring a university-level background in mathematics
  • Ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations
  • Contains examples and exercises throughout the text, and highlights the most important concepts in each section

Part of the book series: Undergraduate Topics in Computer Science (UTICS)

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Table of contents (11 chapters)

Keywords

About this book

This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.

This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).

Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question.

Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.

Authors and Affiliations

  • Brock University, St. Catharines, Canada

    Tom Jenkyns

  • University of Calgary, Calgary, Canada

    Ben Stephenson

About the authors

Dr. Tom Jenkyns is a retired Associate Professor from the Department of Mathematics and the Department of Computer Science at Brock University, Canada.

Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, Canada.

Bibliographic Information

  • Book Title: Fundamentals of Discrete Math for Computer Science

  • Book Subtitle: A Problem-Solving Primer

  • Authors: Tom Jenkyns, Ben Stephenson

  • Series Title: Undergraduate Topics in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-70151-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-319-70150-9Published: 08 May 2018

  • eBook ISBN: 978-3-319-70151-6Published: 03 May 2018

  • Series ISSN: 1863-7310

  • Series E-ISSN: 2197-1781

  • Edition Number: 2

  • Number of Pages: XIII, 512

  • Number of Illustrations: 120 b/w illustrations

  • Topics: Discrete Mathematics in Computer Science, Algorithm Analysis and Problem Complexity

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