Connecting Discrete Mathematics and Computer Science
eBook - PDF

Connecting Discrete Mathematics and Computer Science

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Connecting Discrete Mathematics and Computer Science

Book details
Table of contents
Citations

About This Book

Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this?' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures – like logic, proofs, number theory, counting, probability, graphs – are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures.

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Yes, you can access Connecting Discrete Mathematics and Computer Science by David Liben-Nowell in PDF and/or ePUB format, as well as other popular books in Informatica & Informatica generale. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Cambridge University Press
Year
2022
ISBN
9781009174749
Edition
2
Topic
Informatica
Subtopic
Informatica generale

Table of contents

  1. Cover
  2. Half-title Page
  3. Reviews
  4. Title Page
  5. Copyright Page
  6. Dedication
  7. Contents
  8. List of Computer Science Connections
  9. Acknowledgments
  10. Credits
  11. 1 On the Point of this Book
  12. 2 Basic Data Types
  13. 3 Logic
  14. 4 Proofs
  15. 5 Mathematical Induction
  16. 6 Analysis of Algorithms
  17. 7 Number Theory
  18. 8 Relations
  19. 9 Counting
  20. 10 Probability
  21. 11 Graphs and Trees
  22. 12 Looking Forward
  23. References
  24. Index