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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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ISBN 10: 1009150499 ISBN 13: 9781009150491
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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hardcover. Condition: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Published by Cambridge University Press November 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Published by Cambridge University Press, 2022
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Published by Cambridge University Press, 2022
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Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Language: English
Published by Cambridge University Press, 2022
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Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Hardcover. Condition: new. Hardcover. 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. 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 foundational mathematical material is central to the discipline of computer science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Language: English
Published by Cambridge University Press CUP, 2022
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Language: English
Published by Cambridge University Press, 2022
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Add to basketHardcover. Condition: Brand New. 2nd edition. 700 pages. 10.00x8.00x1.50 inches. In Stock.
Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Hardcover. Condition: new. Hardcover. 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. 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 foundational mathematical material is central to the discipline of computer science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 700 pages. 10.00x8.00x1.50 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Published by Cambridge University Pr., 2022
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Language: English
Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
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Add to basketHardcover. Condition: new. Hardcover. 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. 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 foundational mathematical material is central to the discipline of computer science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.