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Discovering computer science : interdisciplinary problems, principles and python programming / Jessen Havill

By: Material type: TextTextPublication details: Boca Raton, Florida : CRC Press, c2016Description: xxv, 724 pages : illustrations ; 26 cmISBN:
  • 9781482254143
Subject(s): LOC classification:
  • QA 76 .H38 2016
Contents:
What is computation? -- Elementary computations -- Visualizing abstraction -- Growth and decay -- Forks in the road -- Text, documents, and DNA -- Designing programs -- Data analysis -- Flatland -- Self-similarity and recursion -- Organizing data -- Networks -- Abstract data types.
Summary: Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books. Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses. The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Graduate Studies General Circulation Gen. Ed. - CCIT GC QA 76 .H38 2016 (Browse shelf(Opens below)) c.1 Available NULIB000014072

Includes bibliographical references and index.

What is computation? -- Elementary computations -- Visualizing abstraction -- Growth and decay -- Forks in the road -- Text, documents, and DNA -- Designing programs -- Data analysis -- Flatland -- Self-similarity and recursion -- Organizing data -- Networks -- Abstract data types.

Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books. Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses. The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses.

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