Essential Discrete Mathematics for Computer Science

Book Description

A more intuitive approach to the mathematical foundation of science

Discrete is the basis of much of , from algorithms and automata theory to combinatorics and theory. This textbook covers the discrete that every computer science student needs to learn. Guiding students quickly through thirty-one short chapters that discuss one major topic each, this flexible book can be tailored to fit the syllabi for a variety of courses.

Proven in the classroom, Essential Discrete Mathematics for Computer Science aims to teach mathematical reasoning as well as concepts and skills by stressing the art of proof. It is fully illustrated in color, and each chapter includes a concise summary as well as a set of exercises. The text requires only , and where calculus is needed, a quick summary of the basic facts is provided.

Essential Discrete Mathematics for Computer Science is the ideal introductory textbook for standard undergraduate courses, and is also suitable for high school courses, distance for adult learners, and self-study.

  • The essential introduction to discrete mathematics
  • Features thirty-one short chapters, each suitable for a single class lesson
  • Includes more than 300 exercises
  • Almost every formula and theorem proved in full
  • Breadth of content makes the book adaptable to a variety of courses
  • Each chapter includes a concise summary
  • Solutions manual available to instructors

Book Details

  • Title: Essential Discrete Mathematics for Computer Science
  • Author: ,
  • Length: 408 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-03-19
  • ISBN-10: 0691179298
  • ISBN-13: 9780691179292
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