Sets, Logic and Maths for Computing

(Autor)

Buch | Softcover
283 Seiten
2012 | 2nd ed. 2012
Springer London Ltd (Verlag)
978-1-4471-2499-3 (ISBN)

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Sets, Logic and Maths for Computing - David Makinson
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This easy-to-follow book introduces the mathematical language, knowledge and problem-solving skills needed for the study of computing. The language is both qualitative and quantitative, and includes basic notions of logic used for representation and proof.
This easy-to-follow textbook introduces the mathematical language, knowledge and problem-solving skills that undergraduates need to study computing. The language is in part qualitative, with concepts such as set, relation, function and recursion/induction; but it is also partly quantitative, with principles of counting and finite probability. Entwined with both are the fundamental notions of logic and their use for representation and proof. 
Features: teaches finite math as a language for thinking, as much as knowledge and skills to be acquired; uses an intuitive approach with a focus on examples for all general concepts; brings out the interplay between the qualitative and the quantitative in all areas covered, particularly in the treatment of recursion and induction; balances carefully the abstract and concrete, principles and proofs, specific facts and general perspectives; includes highlight boxes that raise common queries and clear confusions; provides numerous exercises, with selected solutions.

Dr. David Makinson is a Visiting Professor in the Department of Philosophy, Logic and Scientific Method at the London School of Economics, UK.

Collecting Things Together: Sets.- Comparing Things: Relations.- Associating One Item with Another: Functions.- Recycling Outputs as Inputs: Induction and Recursion.- Counting Things: Combinatorics.- Weighing the Odds: Probability.- Squirrel Math: Trees.- Yea and Nay: Propositional Logic.- Something about Everything: Quantificational Logic.- Just Supposing: Proof and Consequence.

Reihe/Serie Undergraduate Topics in Computer Science
Undergraduate Topics in Computer Science
Zusatzinfo 17 Illustrations, black and white; XXI, 283 p. 17 illus.
Verlagsort England
Sprache englisch
Maße 155 x 235 mm
Gewicht 474 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
ISBN-10 1-4471-2499-5 / 1447124995
ISBN-13 978-1-4471-2499-3 / 9781447124993
Zustand Neuware
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