Book description
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.
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgments
- About the author
- CHAPTER 1 What is computation?
- CHAPTER 2 Elementary computations
- CHAPTER 3 Visualizing abstraction
- CHAPTER 4 Growth and decay
- CHAPTER 5 Forks in the road
- CHAPTER 6 Text, documents, and DNA
- CHAPTER 7 Designing programs
- CHAPTER 8 Data analysis
- CHAPTER 9 Flatland
- CHAPTER 10 Self-similarity and recursion
- CHAPTER 11 Organizing data
- CHAPTER 12 Networks
- CHAPTER 13 Abstract data types
- APPENDIX A Installing Python
- APPENDIX B Python library reference
- Bibliography
- Index
Product information
- Title: Discovering Computer Science
- Author(s):
- Release date: June 2015
- Publisher(s): CRC Press
- ISBN: 9781482254167
You might also like
book
Computer Science Teacher
This book explores the role of Computer Science Teacher in a secondary school environment. An overview …
book
Computer Science
Computer Science: A Concise Introduction covers the fundamentals of computer science. The book describes micro-, mini-, …
video
Computer Science
22+ Hours of Video Instruction Overview These Computer Science Video Lectures cover fundamental concepts that provide …
book
Securing the Internet of Things
Securing the Internet of Things provides network and cybersecurity researchers and practitioners with both the theoretical …