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Mathematical Foundations of Software Engineering A Practical Guide to Essentials cover

Mathematical Foundations of Software Engineering A Practical Guide to Essentials

by Gerard O'Regan

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About this book

<p>This textbook presents an introduction to the mathematical foundations of software engineering. It presents the rich applications of mathematics in areas such as error-correcting codes, cryptography, the safety and security critical fields, the banking and insurance fields, as well as traditional engineering applications. </p><p><b>Topics and features:</b></p><ul> <li>Addresses core mathematics for critical thinking and problem solving</li> <li>Discusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument.</li> <li>Examines number theory and its applications to cryptography</li> <li>Considers the underlying mathematics of error-correcting codes</li> <li>Discusses graph theory and its applications to modelling networks</li> <li>Reviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checking</li><li>Discusses financial software engineering, including simple and compound interest, probability and statistics, and operations research</li> <li>Discusses software reliability and dependability and explains formal methods used to derive a program from its specification</li> <li>Discusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and robotics</li> <li>Includes key learning topics, summaries, and review questions in each chapter, together with a useful glossary</li> </ul><p>This practical and easy-to-follow textbook/reference is ideal for computer science students seeking to learn how mathematics can assist them in building high-quality and reliable software on time and on budget. The text also serves as an excellent self-study primer for software engineers, quality professionals, and software managers.</p><p></p>

Details

Format
Hardcover
Pages
519
Publisher
Springer Nature Switzerland
Language
EN
Edition
1st ed. 2023
ISBN-13
9783031262111
ISBN-10
3031262115

Categories

Computers, Computer Science, Mathematics, Discrete Mathematics