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Computational Thinking for the Modern Problem Solver

Computational Thinking for the Modern Problem Solver

Computational Thinking for the Modern Problem Solver
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Computational Thinking for the Modern Problem Solver Hardback - 2014

by David D. Riley, Kenny A. Hunt

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Description

[ Edition: First ]. Good Condition. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] Publisher: Chapmand & Hall/CRC Pub Date: 3/27/2014 Binding: Hardcover Pages: 405
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Details

  • Title Computational Thinking for the Modern Problem Solver
  • Author David D. Riley, Kenny A. Hunt
  • Binding Hardback
  • Edition [ Edition: First ]
  • Condition Used - Good Condition
  • Pages 406
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2014-03-27
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # 6938210
  • ISBN 9781466587779 / 1466587776
  • Weight 1.76 lbs (0.80 kg)
  • Dimensions 9.3 x 6.2 x 1 in (23.62 x 15.75 x 2.54 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 2014453810
  • Quantity available 1

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Reader reviews for Computational Thinking for the Modern Problem Solver

From the publisher

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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