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

Parámetros

  • 389 páginas
  • 14 horas de lectura

Más información sobre el libro

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.

Compra de libros

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

Idioma
Publicado en
2014
Encuadernación
(Tapa dura),
Estado del libro
Bueno
Precio
27,99 €

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Título
Chapman & Hall/CRC Textbooks in Computing: Computational Thinking for the Modern Problem Solver
Idioma
Inglés
Publicado en
2014
Formato
Tapa dura
Páginas
389
ISBN10
1466587776
ISBN13
9781466587779
Serie
Descripción
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.