Published by Cambridge University Press (edition 2), 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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hardcover. Condition: Very Good.
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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hardcover. Condition: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: Prior Books Ltd, Cheltenham, United Kingdom
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Add to basketHardcover. Condition: Like New. Second Edition. In nearly new condition: bright, crisp and clean, strong joints, just bumped to the upper fore-edge, hence a publisher 'damaged' stamp at the prelims. Nonetheless not showing any defects. Looks and feels unread. Thus a very nice copy, firm, square and tight, now offered for sale at a very reasonable price.
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: Textbooks_Source, Columbia, MO, U.S.A.
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Add to baskethardcover. Condition: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, Cambridge, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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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.
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press CUP, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: SGS Trading Inc, Franklin Lakes, NJ, U.S.A.
hardcover. Condition: New. New Textbook, Ships with Tracking.
Published by Cambridge University Pr. Aug 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketBuch. Condition: 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.
Published by Cambridge University Pr. Aug 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
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Add to basketBuch. Condition: 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.
Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Pr. Aug 2022, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Add to basketBuch. Condition: 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.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Published by Cambridge University Press, 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Add to basketCondition: New. 2022. 2nd Edition. Hardcover. . . . . .
Published by Cambridge University Pr., 2022
ISBN 10: 1009150499 ISBN 13: 9781009150491
Language: English
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Add to basketCondition: 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.