Buch, Englisch, 215 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g
A Beginner's Guide
Buch, Englisch, 215 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g
Reihe: Undergraduate Topics in Computer Science
ISBN: 978-3-031-69233-8
Verlag: Springer Nature Switzerland
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.
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.
Zielgruppe
Lower undergraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
