Sets, Logic and Maths for Computing (Undergraduate Topics in Computer Science)

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Back cover copy 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.

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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. 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 an intuitive 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: Written explicitly for undergraduates, it requires only a minimal mathematical background and is ideal for self-study as well as classroom use.

Table of contents Collecting Things Together: Review quote From the reviews: The text is easy to read, and the concepts are presented in an understandable way using many examples. The book contains exercises with solutions, gives several further exercises, and hints for further selected reading.

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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. Book ratings by Goodreads. Goodreads is the world's largest site for readers with over 50 million reviews. During this, students will learn about binomial distributions and the expectations of random variables in the discrete setting.

Sets, logic and maths for computing / by David Makinson - Details - Trove

Following this, attention turns to combinatorial methods and arguments. Combinatorial games, induction on discrete structures, discrete mathematical arguments such as tiling and pigeon hole principle are among the topics covered in the latter part of the class. Students will typically be set four assignments. There is an individual oral examination at the end of the class to validate the marks achieved in the four assignments.

The resit for the class will take the form of individual assignments as well as an individual oral examination.

Please do not purchase any of the reading material listed below until you have confirmed with the class lecturer that it will be used for this class. Fundamentals of Discrete Math for Computer Science: An Introduction to Combinatorics by R.

Learning Outcomes On completion of the class, a student should be able: