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

Parametry

  • 389 stránek
  • 14 hodin čtení

Více o knize

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.

Nákup knihy

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

Jazyk
Rok vydání
2014
Vazba
(pevná),
Stav knihy
Dobrá
Cena
679 Kč

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Titul
Chapman & Hall/CRC Textbooks in Computing: Computational Thinking for the Modern Problem Solver
Jazyk
anglicky
Rok vydání
2014
Vazba
pevná
Počet stran
389
ISBN10
1466587776
ISBN13
9781466587779
Série
Štítky
Hry, Aritmetika
Anotace
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.