Introduction to the History of Computing: A Computing History Primer (Undergraduate Topics in Computer Science)

O'Regan, Gerard

ISBN 10: 331933137X / ISBN 13: 9783319331379

Published by Springer, 2016

About this Item

pp. 274.

Seller Inventory # 18374668463

Bibliographic Details

• Title: Introduction to the History of Computing: A Computing History Primer (Undergraduate Topics in Computer Science)
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 331933137X
• ISBN 13: 9783319331379
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Tracing the story of computing from Babylonian counting boards to smartphones, this inspiring textbook provides a concise overview of the key events in the history of computing, together with discussion exercises to stimulate deeper investigation into this fascinating area. Features: provides chapter introductions, summaries, key topics, and review questions; includes an introduction to analogue and digital computers, and to the foundations of computing; examines the contributions of ancient civilisations to the field of computing; covers the first digital computers, and the earliest commercial computers, mainframes and minicomputers; describes the early development of the integrated circuit and the microprocessor; reviews the emergence of home computers; discusses the creation of the Internet, the invention of the smartphone, and the rise of social media; presents a short history of telecommunications, programming languages, operating systems, software engineering, artificial intelligence, and databases.

About the Author

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 A Brief History of Computing, Pillars of Computing, Giants of Computing, Mathematics in Computing, Introduction to Software Quality, Introduction to Software Process Improvement, and Mathematical Approaches to Software Quality.