22,95 €
22,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
11 °P sammeln
22,95 €
22,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
11 °P sammeln
Als Download kaufen
22,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
11 °P sammeln
Jetzt verschenken
22,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
11 °P sammeln
  • Format: PDF

1 Kundenbewertung

University studies in computing require the ability to pass from a concrete problem to an abstract representation, reason with the abstract structure, and return with useful solutions to the specific situation.
The tools for developing these skills are in part qualitative - concepts such as set, relation, function, and structures such as trees and well-founded orders. They are also in part quantitative - notably elementary combinatorics and finite probability. Recurring in all of these are instruments of proof, both purely logical ones (such as proof by contradiction) and mathematical (the…mehr

Produktbeschreibung
University studies in computing require the ability to pass from a concrete problem to an abstract representation, reason with the abstract structure, and return with useful solutions to the specific situation.

The tools for developing these skills are in part qualitative - concepts such as set, relation, function, and structures such as trees and well-founded orders. They are also in part quantitative - notably elementary combinatorics and finite probability. Recurring in all of these are instruments of proof, both purely logical ones (such as proof by contradiction) and mathematical (the various forms of induction).

Features:

. Explains the basic mathematical tools required by students as they set out in their studies of Computer or Information Science

. Explores the interplay between qualitative thinking and calculation

. Teaches the material as a language for thinking, as much as knowledge to be acquired

. Uses anintuitive approach with a focus on examples for all general concepts

. Provides numerous exercises, solutions and proofs to deepen and test the reader's understanding

. Includes highlight boxes that raise common queries and clear away confusions

. Tandems with additional electronic resources including slides on author's website

http://david.c.makinson.googlepages.com

This easy-to-follow text allows readers to carry out their computing studies with a clear understanding of the basic finite mathematics and logic that they will need. Written explicitly for undergraduates, it requires only a minimal mathematical background and is ideal for self-study as well as classroom use.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
David Makinson is currently Visiting Professor at London School of Economics (LSE). Previous affiliations include the Department of Computer Science at King's College London, UNESCO in Paris, and the American University of Beirut in Lebanon. He is well known for his early research in modal and deontic logics, and more recently in the logic of belief change (as one of the founders of the AGM paradigm) and nonmonotonic reasoning.