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Computer Science: An Interdisciplinary Approach, by Robert Sedgewick, Kevin Wayne
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Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing.
The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction.
Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution.
For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions.
Companion web site (introcs.cs.princeton.edu/java) contains
- Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs
- Graphics and sound libraries
- Links to program code and test data
- Solutions to selected exercises
- Chapter summaries
- Detailed instructions for installing a Java programming environment
- Detailed problem sets and projects
Companion 20-part series of video lectures is available at informit.com/title/9780134493831
- Sales Rank: #193881 in Books
- Published on: 2016-06-25
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.70" w x 7.60" l, .0 pounds
- Binding: Hardcover
- 1168 pages
About the Author
Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton University, where he was founding chairman of the Department of Computer Science. He has held visiting research positions at Xerox PARC, Institute for Defense Analyses, and INRIA, and served on the board of directors at Adobe Systems. His research interests include analytic combinatorics, design and analysis of algorithms and data structures, and program visualization. He has written seventeen books.
Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has taught since 1998, earning several teaching awards. He is an ACM Distinguished Educator and holds a Ph.D. in operations research and industrial engineering from Cornell University.
Most helpful customer reviews
2 of 3 people found the following review helpful.
Great first book in a "series"
By Amazon Customer
I do love the Sedgewick "series" of CS books that I've read ( Programming -> Algorithms -> Analysis of Algorithms). This book is an excellent introduction to CS. One thing I am not sure of is the difference between this book, and a book like "Introduction to Programming in Java".
0 of 2 people found the following review helpful.
Good Book. Easy to read
By Rabinder
Good Book.Easy to read. I read this book and follow by Algorithms of the same author.
Please check location 738 795 807 836 845 874 884 895 and many others . It is missing.
0 of 1 people found the following review helpful.
Sedgewick does it again!
By Elder
This follows the traditional format of his books. Readers of his red Algorithms textbook will feel right at home. I learn something new every time I read his books. It's for an introductory course, but anyone who can do every problem in this book will be better than most software engineers in the industry.
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