9781466587779-1466587776-Computational Thinking for the Modern Problem Solver (Chapman & Hall/CRC Textbooks in Computing)

Computational Thinking for the Modern Problem Solver (Chapman & Hall/CRC Textbooks in Computing)

ISBN-13: 9781466587779
ISBN-10: 1466587776
Edition: 1
Author: David Riley, Kenny A. Hunt
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 406 pages
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Book details

ISBN-13: 9781466587779
ISBN-10: 1466587776
Edition: 1
Author: David Riley, Kenny A. Hunt
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 406 pages

Summary

Computational Thinking for the Modern Problem Solver (Chapman & Hall/CRC Textbooks in Computing) (ISBN-13: 9781466587779 and ISBN-10: 1466587776), written by authors David Riley, Kenny A. Hunt, was published by Chapman and Hall/CRC in 2014. With an overall rating of 4.1 stars, it's a notable title among other Computer Science (Algorithms, Programming, Game Programming, Study & Teaching, Mathematics) books. You can easily purchase or rent Computational Thinking for the Modern Problem Solver (Chapman & Hall/CRC Textbooks in Computing) (Hardcover) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $29.88.

Description

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an introductory computing course and shows how computer science concepts are applicable to other fields. It keeps the material accessible and relevant to noncomputer science majors.

With numerous color figures, this classroom-tested book focuses on both foundational computer science concepts and engineering topics. It covers abstraction, algorithms, logic, graph theory, social issues of software, and numeric modeling as well as execution control, problem-solving strategies, testing, and data encoding and organizing. The text also discusses fundamental concepts of programming, including variables and assignment, sequential execution, selection, repetition, control abstraction, data organization, and concurrency. The authors present the algorithms using language-independent notation.

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