000 | 01930nam a2200229Ia 4500 | ||
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003 | NULRC | ||
005 | 20250520102826.0 | ||
008 | 250520s9999 xx 000 0 und d | ||
020 | _a9781482254143 | ||
040 | _cNULRC | ||
050 | _aQA 76 .H38 2016 | ||
100 |
_aHavill, Jessen _eauthor |
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245 | 0 |
_aDiscovering computer science : _binterdisciplinary problems, principles and python programming / _cJessen Havill |
|
260 |
_aBoca Raton, Florida : _bCRC Press, _cc2016 |
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300 |
_axxv, 724 pages : _billustrations ; _c26 cm. |
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365 | _bUSD158.87 | ||
504 | _aIncludes bibliographical references and index. | ||
505 | _aWhat 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. | ||
520 | _aDiscovering 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. | ||
650 | _aCOMPUTER SCIENCE | ||
942 |
_2lcc _cBK |
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999 |
_c16313 _d16313 |