From Computing to Computational Thinking / Edition 1

by Paul S. Wang

Overview

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.

Product Details

ISBN-13:	9781138412941
Publisher:	Taylor & Francis
Publication date:	07/27/2017
Pages:	288
Product dimensions:	6.12(w) x 9.19(h) x (d)

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.

Table of Contents

Why Does the Chicken Cross the Road? Bits, Bytes, and Words. True or False. Who Is the Master? Hello There! Home Sweet Homepage. Keeping It Safe. Solve That Problem. Data Everywhere. Get That App.