語系
O'Regan, Gerard.
概要
作品: | 0 作品在 11 項出版品 1 種語言 |
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書目資訊
Mathematical foundations of software engineering = a practical guide to essentials /
by:
O'Regan, Gerard.; SpringerLink (Online service)
(書目-電子資源)
Concise guide to formal methods = theory, fundamentals and industry applications /
by:
O'Regan, Gerard.; SpringerLink (Online service)
(書目-電子資源)
Pillars of computing = a compendium of select, pivotal technology firms /
by:
SpringerLink (Online service); O'Regan, Gerard.
(書目-電子資源)
Concise guide to software engineering = from fundamentals to application methods /
by:
O'Regan, Gerard.; SpringerLink (Online service)
(書目-電子資源)
Introduction to the history of computing = a computing history primer /
by:
O'Regan, Gerard.; SpringerLink (Online service)
(書目-電子資源)
Concise guide to software engineering = from fundamentals to application methods /
by:
O'Regan, Gerard.; SpringerLink (Online service)
(書目-電子資源)
Guide to discrete mathematics = an accessible introduction to the history, theory, logic and applications /
by:
O'Regan, Gerard.; SpringerLink (Online service)
(書目-電子資源)
Mathematics in computing = an accessible guide to historical, foundational and application contexts /
by:
O'Regan, Gerard.; SpringerLink (Online service)
(書目-電子資源)
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主題
Software Engineering.
Mathematical Logic and Formal Languages.
History of Computing.
Computer industry- History.
History of Technology.
Logics and Meanings of Programs.
Computer Engineering.
Programming Techniques.
Management of Computing and Information Systems.
Mathematical Applications in Computer Science.
Software engineering.
Formal methods (Computer science)
History of Mathematical Sciences.
Computer Science Logic and Foundations of Programming.
Computer software- Quality control.
Software Management.
Coding and Information Theory.
Software engineering- Mathematics.
Computer science- Mathematics.
Performance and Reliability.
Computer software- Testing.
Computers- History.
Computer Science.
System Performance and Evaluation.
Computer science- History.
Computers and Society.
Discrete Mathematics in Computer Science.
Arithmetic and Logic Structures.
Math Applications in Computer Science.
Mathematical Software.
Probability and Statistics in Computer Science.
The Computer Industry.
Quality Control, Reliability, Safety and Risk.