9780134076423

Computer Science An Interdisciplinary Approach

by ;
  • ISBN13:

    9780134076423

  • ISBN10:

    0134076427

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 6/15/2016
  • Publisher: Addison-Wesley Professional

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping On Orders Over $59!
    Your order must be $59 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $79.99 Save up to $20.00
  • Rent Book $59.99
    Add to Cart Free Shipping

    TERM
    PRICE
    DUE

Supplemental Materials

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
  • The Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Summary

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

Author Biography

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.

Table of Contents

Prologue
1. Elements of Programming
2. Functions and Modules
3. Object-Oriented Programming
4. Algorithms and Data Structures
5. A Computing Machine
6. Building a Computer
7. Theory of Computation
Context
Index
Note: All Sections Conclude with QandA, Exercises, and Creative Exercises.

Rewards Program

Write a Review