Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming

Jessen Havill

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July 10, 2015 by Chapman and Hall/CRC
Textbook - 750 Pages - 242 Color Illustrations
ISBN 9781482254143 - CAT# K23951
Series: Chapman & Hall/CRC Textbooks in Computing

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Features

  • Incorporates a principles-oriented introduction to computational thinking to provide a broader and deeper introduction to computer science than typical introductory programming books
  • Organized around problems and techniques rather than programming language features
  • Places Python programming in the context of important computer science principles—abstraction, algorithm efficiency, and problem-solving techniques— throughout, rather than in isolated late sections
  • Uses a spiral approach to introduce programming language features, as they are used in increasingly complex ways as the book progresses
  • Includes 30 well-developed independent, interdisciplinary projects
  • Provides over 600 homework exercises and over 300 integrated reflection questions throughout

A solutions manual is available upon qualifying course adoption.

Summary

Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books.

Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses.

The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses.

The book includes thirty well-developed independent projects that encourage students to explore questions across disciplinary boundaries. Each is motivated by a problem that students can investigate by developing algorithms and implementing them as Python programs.

The book's accompanying website — http://discoverCS.denison.edu — includes sample code and data files, pointers for further exploration, errata, and links to Python language references.

Containing over 600 homework exercises and over 300 integrated reflection questions, this textbook is appropriate for a first computer science course for computer science majors, an introductory scientific computing course or, at a slower pace, any introductory computer science course.

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