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

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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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Chapman & Hall/CRC Textbooks in Computing: Computational Thinking for the Modern Problem Solver, David D. Riley, Kenny A. Hunt

Taal
Jaar van publicatie
2014
Bindwijze
(Hardcover),
Staat van het boek
Goed
Prijs
€ 27,99

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Titel
Chapman & Hall/CRC Textbooks in Computing: Computational Thinking for the Modern Problem Solver
Taal
Engels
Jaar van publicatie
2014
Formaat
Hardcover
Aantal pagina's
389
ISBN10
1466587776
ISBN13
9781466587779
Reeks
Aantekening
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.