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

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  • 389 stron
  • 14 godzin czytania

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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.

Zakup książki

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

Język
Rok wydania
2014
Oprawa
(twarda),
Stan książki
Dobry
Cena
108,99 zł

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Tytuł
Chapman & Hall/CRC Textbooks in Computing: Computational Thinking for the Modern Problem Solver
Język
angielski
Rok wydania
2014
Oprawa
twarda
Liczba stron
389
ISBN10
1466587776
ISBN13
9781466587779
Seria
Opis
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.