Verlag: Cambridge University Press (edition 2), 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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In den WarenkorbZustand: New. This textbook is designed for undergraduate students taking a course on the mathematical foundations of computer science. It is written from an exclusively CS perspective rather than for a mixed-discipline audience, helping CS students see the ways that fou.
Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Verlag: Cambridge University Press November 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Pr. Aug 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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In den WarenkorbBuch. Zustand: Neu. Neuware -Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this ' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures - like logic, proofs, number theory, counting, probability, graphs - are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 673 pp. Englisch.
Verlag: Cambridge University Pr. Aug 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this ' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures - like logic, proofs, number theory, counting, probability, graphs - are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures. 673 pp. Englisch.
Verlag: Cambridge University Pr. Aug 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this ' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures - like logic, proofs, number theory, counting, probability, graphs - are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures. 673 pp. Englisch.
Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Pr. Aug 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware -Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this ' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures - like logic, proofs, number theory, counting, probability, graphs - are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures.
Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware - Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this ' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures - like logic, proofs, number theory, counting, probability, graphs - are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures.
Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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ISBN 10: 1009150499 ISBN 13: 9781009150491
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ISBN 10: 1009150499 ISBN 13: 9781009150491
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Verlag: Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Sprache: Englisch
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ISBN 10: 1009150499 ISBN 13: 9781009150491
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ISBN 10: 1009150499 ISBN 13: 9781009150491
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