Quentin Charatan, Aaron Kans

Maths For Computing (eBook, PDF)

A Beginner's Guide

• Format: PDF

Produktbeschreibung

This introductory textbook covers all the mathematical concepts necessary for a computing degree, limiting coverage only to the material needed for the fundamentals of computing rather than delving into the higher mathematical concepts.

Key features include:

• Gears content toward students who are less confident in mathematics
• Provides exercises, with solutions, at the end of each chapter
• Teaches topics using everyday language
• Includes numerous worked examples in every chapter
• Uses familiar scenarios to introduce mathematical concepts
• Discusses the relevance of each chapter topic to the world of computing

Core topics covered include:

• Set and groups
• Matrices
• Relations and functions
• Logic and proofs
• Combinatorics
• Probability
• Graph theory

The book is written for students embarking on an undergraduate or foundation degree course in computer science (or related discipline) and aims to provide the basic skills and knowledge of discrete mathematics required for such a course. Whereas many textbooks tend to teach this subject in a way that is more suitable for mathematicians, this text specifically targets first-year students on computing courses and aims to teach only the basic material that they will need for their computing degree.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 215
• Erscheinungstermin: 1. Dezember 2024
• Englisch
• ISBN-13: 9783031692345
• Artikelnr.: 72483774

Autorenporträt

Dr Quentin Charatan is a former Principal Lecturer and now visiting lecturer at the University of East London, UK.

Dr Aaron Kans is the Head of the Computer Science and Digital Technologies Department in the School of Architecture, Computing & Engineering at the same institution.

Inhaltsangabe

1. Set Theory.- 2. Sets, Groups and Numbers.- 3. Relations.- 4. Functions.- 5. Propositional Logic.- 6. Predicate Logic and Proofs.- 7. Matrices.- 8. Combinatorics.- 9. Probability.- 10. Graph Theory.- 11. Solutions to exercises.