Computer Science Handbook, Second Edition
Books / Hardcover
ISBN: 158488360X / Publisher: Chapman and Hall/CRC, June 2004
With a broadened scope, more emphasis on applied computing, and new and significantly revised chapters, the second edition of this reference for computer scientists, software engineers, and IT professionals conveys the current accomplishments and direction of computer science. Discussions now reflect the growth of the Internet and the increasing importance of developments such as massively parallel computation. New chapters cover topics including cryptography, computational chemistry, cognitive modeling, scripting languages, data compression, and event-driven programming. Tucker teaches computer science at Bowdoin College. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
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When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chapters either new or significantly revised, the Computer Science Handbook, Second Edition is exactly the kind of reference you need. This rich collection of theory and practice fully characterizes the current state of the field and conveys the modern spirit, accomplishments, and direction of computer science.Highlights of the Second Edition:Coverage that reaches across all 11 subject areas of the discipline as defined in Computing Curricula 2001, now the standard taxonomyMore than 70 chapters revised or replacedEmphasis on a more practical/applied approach to IT topics such as information management, net-centric computing, and human computer interaction More than 150 contributing authors--all recognized experts in their respective specialtiesNew chapters on:cryptography computational chemistry computational astrophysics human-centered software developmentcognitive modeling transaction processing data compressionscripting languages event-driven programmingsoftware architecture
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