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.

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Features

Explains computing from an end-user viewpoint, highlights particular CT concepts and illustrates how to apply CT to solve problems
Applies core CT concepts to common real-life situations, making the book readable, relevant, and practical
Includes engaging illustrations and diagrams to demonstrate concepts
Presents real problems from different fields where CT can be applied to find solutions
Requires no programming background, uses pseudocode to illustrate procedures and algorithms, makes interactive demos and other resources available on the accompanying website computize.org

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From Computing to Computational Thinking

Wang, Paul S.

Used - Soft cover

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