
Mathematics in Computing by Gerard Oregan
This illuminating textbook provides a concise review of the core concepts in mathematics essential to computer scientists. Emphasis is placed on the practical computing applications enabled by seemingly abstract mathematical ideas, presented within their historical context. The text spans a broad selection of key topics, ranging from the use of finite field theory to correct code and the role of number theory in cryptography, to the value of graph theory when modelling networks and the importance of formal methods for safety critical systems.
This fully updated new edition has been expanded with a more comprehensive treatment of algorithms, logic, automata theory, model checking, software reliability and dependability, algebra, sequences and series, and mathematical induction.
Topics and features: includes numerous pedagogical features, such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary; describes the historical contributions of such prominent figures as Leibniz, Babbage, Boole, and von Neumann; introduces the fundamental mathematical concepts of sets, relations and functions, along with the basics of number theory, algebra, algorithms, and matrices; explores arithmetic and geometric sequences and series, mathematical induction and recursion, graph theory, computability and decidability, and automata theory; reviews the core issues of coding theory, language theory, software engineering, and software reliability, as well as formal methods and model checking; covers key topics on logic, from ancient Greek contributions to modern applications in AI, and discusses the nature of mathematical proof and theorem proving; presents a short introduction to probability and statistics, complex numbers and quaternions, and calculus.This engaging and easy-to-understand book will appeal to students of computer science wishing for an overview of the mathematics used in computing, and to mathematicianscurious about how their subject is applied in the field of computer science. The book will also capture the interest of the motivated general reader.-
Modelling Computing Systems
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Data Structures and Algorithms with Python
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Sets, Logic and Maths for Computing
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Fundamentals of Discrete Math for Computer Science
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Principles of Digital Image Processing
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Introduction to Artificial Intelligence
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A First Introduction to Quantum Computing and Information
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Introduction to Data Science
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A Practical Approach to Compiler Construction
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A Concise Introduction to Languages and Machines
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A Beginners Guide to Python 3 Programming
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Philosophical and Cultural Aspects of Computing
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Principles of Data Mining
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Pattern Recognition
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Introduction to Deep Learning
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Financial Software Engineering
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Guide to Competitive Programming
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Advanced Guide to Python 3 Programming
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Introduction to Medical Image Analysis
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Introduction to Video and Image Processing
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Introduction to Software Quality
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Multicore Programming Using the ParC Language
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Introduction to HPC with MPI for Data Science
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Computability and Complexity
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Object-Oriented Programming Languages: Interpretation
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Introduction to Parallel Computing
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Concise Guide to Databases
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Human-Centred Scientific Data Visualisation
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Guide to Using Generative AI in Programming
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Programming in HTML and PHP
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Introduction to Cryptographic Definitions
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Proofs and Algorithms
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Introduction to Software Process Improvement
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Rigorous Software Development
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Sensing and Systems in Pervasive Computing
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Autonomic Computing
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OCaml Scientific Computing
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Applied Logic for Computer Scientists
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Basic Graph Theory
Dr. Gerard O'Regan is a CMMI software process improvement consultant at SQC Consulting, and a visiting lecturer at Limkokwing University of Creative Technology, Malaysia. He is the author of the Springer titles Introduction to Software Process Improvement, Mathematical Approaches to Software Quality and A Practical Approach to Software Quality.
| SKU | Unavailable |
| ISBN 13 | 9783030342081 |
| ISBN 10 | 3030342085 |
| Title | Mathematics in Computing |
| Author | Gerard Oregan |
| Series | Undergraduate Topics In Computer Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-01-11 |
| Number of pages | 458 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |






































