000 02342 a2200253 4500
005 20251206172322.0
008 251206b |||||||| |||| 00| 0 eng d
020 _a9783031692338
082 _a004.0151 CHA
100 _aCharatan, Quentin
245 _aMaths for computing: a beginner's guide
260 _aCham:
_bSpringer,
_c2025.
300 _axiv, 214p.:
_bcol. ill.; pbk.:
_c24 cm.
504 _aInclude Index
520 _aThis 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. https://link.springer.com/book/10.1007/978-3-031-69234-5#overview
650 _aDiscrete Mathematics
650 _aMathematics For Computing
650 _aIntroductory Mathematics
650 _aMatrices And Linear Algebra
650 _aLogic And Proofs
650 _aProbability Theory
700 _aKans, Aaron
_eCo-author
942 _cTD
_2ddc
999 _c63896
_d63896