Author: Alan W. Biermann
Edition: second edition
Binding: Paperback
ISBN: 0262522233
Publisher: The MIT Press
Edition: second edition
Binding: Paperback
ISBN: 0262522233
Publisher: The MIT Press
Great Ideas In Computer Science 2nd Edition: A Gentle Introduction
In Great Ideas in Computer Science: A Gentle Introduction, Alan Biermann presents the "great ideas" of computer science that together comprise the heart of the field. Great Ideas in Computer Science - 2nd Edition
Mit Press | 1997 | 539 pages | ISBN-13: 9780262522236 | ISBN-10: 0262522233 | You save 5%
He condenses a great deal of complex material into a manageable, accessible form. His treatment of programming, for example, presents only a few features of Pascal and restricts all programs to those constructions. Yet most of the important lessons in programming can be taught within these limitations. The student's knowledge of programming then provides the basis for understanding ideas in compilation, operating systems, complexity theory, noncomputability, and other topics. Whenever possible, the author uses common words instead of the specialized vocabulary that might confuse re Download free Great Ideas in Computer Science - 2nd Edition: A Gentle Introduction from rapidshare, mediafire, 4shared
He condenses a great deal of complex material into a manageable, accessible form. His treatment of programming, for example, presents only a few features of Pascal and restricts all programs to those constructions. Yet most of the important lessons in programming can be taught within these limitations. The student's knowledge of programming then provides the basis for understanding ideas in compilation, operating systems, complexity theory, noncomputability, and other topics Search and find a lot of computer books in many category availabe for free download
e condenses a great deal of complex material into a manageable, accessible form. His treatment of programming, for example, presents only a few features of Pascal and restricts all programs to those constructions. Yet most of the important lessons in programming can be taught within these limitations. The student's knowledge of programming then provides the basis for understanding ideas in compilation, operating systems, complexity theory, noncomputability, and other topics. Whenever possible, the author uses common words instead of the specialized vocabulary that might confuse re
