From Computing to Computational Thinking

Paul S. Wang

ISBN 10: 1482217651 / ISBN 13: 9781482217650

Published by Chapman And Hall/CRC, 2015

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This easy-to-understand guidebook gives you the tools for understanding and using Computational Thinking (CT). It does not assume experience or knowledge of programming or of a programming language, but explains concepts and methods for CT with clarity and depth. Puzzles, games, and everyday examples provide starting points for discussion and for connecting abstract thinking patterns to real-life situations. The book lays an interesting and thought-provoking path to gaining general knowledge about modern computing and the concepts and thinking processes underlying modern digital technologies.

Seller Inventory # 9781482217650

Bibliographic Details

• Title: From Computing to Computational Thinking
• Publisher: Chapman And Hall/CRC
• Publication Date: 2015
• Language: English
• ISBN 10: 1482217651
• ISBN 13: 9781482217650
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 16D millimeters 234 millimeters width by 156 millimeters height by 16 millimeters depth
• Weight: 445 grams

About this title

Synopsis

Computational Thinking (CT) involves fundamental concepts and reasoning, distilled from computer science and other computational sciences, which become powerful general mental tools for solving problems, increasing efficiency, reducing complexity, designing procedures, or interacting with humans and machines. An easy-to-understand guidebook, From Computing to Computational Thinking gives you the tools for understanding and using CT. It does not assume experience or knowledge of programming or of a programming language, but explains concepts and methods for CT with clarity and depth.

Successful applications in diverse disciplines have shown the power of CT in problem solving. The book uses puzzles, games, and everyday examples as starting points for discussion and for connecting abstract thinking patterns to real-life situations. It provides an interesting and thought-provoking way to gain general knowledge about modern computing and the concepts and thinking processes underlying modern digital technologies.

About the Author

Paul S. Wang , PhD, is professor of computer science at Kent State University, Ohio. He received his PhD from MIT. He has published 10 computer science textbooks, all of which have been well-received in the US and worldwide. Several have been translated into other languages.