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Hardcover. 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. Topics and features:Addresses core mathematics for critical thinking and problem solvingDiscusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument.Examines number theory and its applications to cryptographyConsiders the underlying mathematics of error-correcting codesDiscusses graph theory and its applications to modelling networksReviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checkingDiscusses financial software engineering, including simple and compound interest, probability and statistics, and operations researchDiscusses software reliability and dependability and explains formal methods used to derive a program from its specificationDiscusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and roboticsIncludes key learning topics, summaries, and review questions in each chapter, together with a useful glossaryThis 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031262111
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.
Topics and features:
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.
À propos de l?auteur:
Dr. Gerard O'Regan is a CMMI software process improvement consultant with research interests including software quality and software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of such Springer titles as Introduction to the History of Computing, Pillars of Computing, Introduction to Software Quality, Giants of Computing, and Mathematics in Computing.
Titre : Mathematical Foundations of Software ...
Éditeur : Springer International Publishing AG, Cham
Date d'édition : 2023
Reliure : Hardcover
Etat : new
Edition : Edition originale
Vendeur : Kuba Libri, Prague, Rébublique tchèque
Hardcover. Etat : New. N° de réf. du vendeur 011500
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Vendeur : Basi6 International, Irving, TX, Etats-Unis
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEOCT25-15342
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Vendeur : moluna, Greven, Allemagne
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Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. 1st Edition. N° de réf. du vendeur 26396294687
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Vendeur : preigu, Osnabrück, Allemagne
Buch. Etat : Neu. Mathematical Foundations of Software Engineering | A Practical Guide to Essentials | Gerard O'Regan | Buch | xxxvii | Englisch | 2023 | Springer | EAN 9783031262111 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 126343903
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Vendeur : ALLBOOKS1, Direk, SA, Australie
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address. N° de réf. du vendeur SHAK15342
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.Topics and features: Addresses core mathematics for critical thinking and problem solving Discusses propositional and predicate logic and various proof techniques to demonstrate the correctness of a logical argument. Examines number theory and its applications to cryptography Considers the underlying mathematics of error-correcting codes Discusses graph theory and its applications to modelling networks Reviews tools to support software engineering mathematics, including automated and interactive theorem provers and model checkingDiscusses financial software engineering, including simple and compound interest, probability and statistics, and operations research Discusses software reliability and dependability and explains formal methods used to derive a program from its specification Discusses calculus, matrices, vectors, complex numbers, and quaternions, as well as applications to graphics and robotics Includes key learning topics, summaries, and review questions in each chapter, together with a useful glossary 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. N° de réf. du vendeur 9783031262111
Quantité disponible : 1 disponible(s)