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Logic in Computer Science Modelling and Reasoning about Systems by Michael Huth

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Published by Cambridge University Press .
Written in English


  • Computer architecture & logic design,
  • Mathematical theory of computation,
  • Systems analysis & design,
  • Logic Design,
  • Computer logic,
  • Computers,
  • Computers - General Information,
  • Computer Books: General,
  • Logic programming (Computer sc,
  • Computer Science,
  • Computers / Programming / Software Development,
  • Logic programming (Computer science)

Book details:

The Physical Object
Number of Pages440
ID Numbers
Open LibraryOL7745608M
ISBN 10052154310X
ISBN 109780521543101

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Jul 14,  · Logic in Computer Science: Modelling and Reasoning about Systems [Michael Huth] on *FREE* shipping on qualifying offers. The second edition of this successful textbook continues to provide a clear introduction to formal reasoning relevant to the needs of modern computer science and sufficiently exacting for practical applications/5(9). I would avoid the book approach, as it is absolutely not mandatory, particularly in these two fields. As far as logic goes, a quick read to the logic in CS page on wikipedia and (much) practice using logic operators in your favourite language(s). This book started from the premise that Computer Science should be taught as a liberal art, not an industrial skill. I had the privilege of taking from Gerry Sussman when I was a first year student at MIT, and that course awakened me to the power and beauty of computing, and inspired me to . computer science need not be taught the full generality of uncountable structures. Fortunately (as shown by Raymond M. Smullyan), tableaux provide an elegant way to teach mathematical logic that is both theoretically sound and yet sufficiently ele-mentary for the undergraduate. Audience The book is intended for undergraduate computer science.

Dec 28,  · It gives a clear explanation about almost all the basic logics you need to know in the area of computer science, such as propositional logic, first-order logic, temporal logic and some modal logic. A great book on the introduction of logics/5. Computer scientists use logic for testing and verification of software and digital circuits, but many computer science students study logic only in the context of traditional mathematics, encountering the subject in a few lectures and a handful of problem sets in a discrete math course. Logic for Computer Science: Foundations of Automatic Theorem Proving Second Edition Jean Gallier A corrected version of the original Wiley edition (pp. , ), published by Dover, June Aug 08,  · Logic for Computer Science and Artificial Intelligence is the classroom-tested result of several years of teaching at Grenoble INP (Ensimag). It is conceived to allow self-instruction for a beginner with basic knowledge in Mathematics and Computer Science, but is also highly suitable for use in traditional courses.

E-Book Review and Description: Mathematical Logic for Computer Science is a mathematics textbook with theorems and proofs, but the choice of topics has been guided by the needs of students of computer science. The method of semantic tableaux provides an elegant way to teach logic that is both theoretically sound and easy to understand. DAT / DIT Logic in Computer Science. When making a natural deduction proof in the exam you are allowed to use any of the rules presented in page 27 of the book plus the introduction and elimination rules for both the universal and existential quantifiers, unless it is stated otherwise in an exercise. Think Complexity, 2nd Edition is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science. The examples and supporting code for this book are in Python. You should know core Python and you should be familiar with object-oriented features, at least using objects if not defining your own. . Sep 15,  · Logic for Computer Science book. Read reviews from world’s largest community for readers. Logic for Computer Science provides an introduction to mathem /5(7).