Data Structures and Other Objects: A Second Course in Computer Science [Paperback]

Michael Main (Author), Walter Savitch (Author)

Book Description

Publication Date: August 1994

This innovative new text provides a solid foundation in both data abstraction techniques and practical problem-solving skills. Readers learn to solve problems using the most effective techniques available whether object-oriented or traditional. To help readers choose the best problem-solving method, a special section describes what makes a "good" object. A focus on time analysis techniques and a wealth of practical programming tips also reinforce the importance of efficient program design.As this title is cowritten by Walter Savitch, it provides the carefully constructed pedagogy and flexible topic organization for which he is known. Plus, there are a variety of learning tools, including case studies, shorter programming examples that illustrate specific concepts and techniques, pitfalls, design techniques, and programming tips that help readers learn to make good programming decisions. 0805370862B04062001

Editorial Reviews

From the Back Cover

As this title is cowritten by Walter Savitch, it provides the carefully constructed pedagogy and flexible topic organization for which he is known. Plus, there are a variety of learning tools, including case studies, shorter programming examples that illustrate specific concepts and techniques, pitfalls, design techniques, and programming tips that help readers learn to make good programming decisions.

About the Author

Michael Main is an Associate Professor of Computer Science at the University of Colorado at Boulder. As a chairman of the undergraduate committee, he participated in the University's development and implementation of the Bachelor's of Science degree in Computer Science. Recognized as gifted teacher of undergraduates, he has incorporated many of his innovative teaching techniques into his Addison-Wesley textbooks.Walt Savitch is a Professor of Computer Science at the University of California at San Diego, where he has been one of the main designers of the computer science curriculum. A well-known and respected author, he has written widely on complexity theory and on computational linguistics, and published a textbook on computability theory. 0805370862AB04062001

Product Details

• Paperback: 768 pages
• Publisher: Benjamin-Cummings Pub Co; Turbo Pascal ed edition (August 1994)
• Language: English
• ISBN-10: 0805370862
• ISBN-13: 978-0805370867
• Product Dimensions: 9.1 x 7.3 x 1.3 inches
• Shipping Weight: 2.7 pounds
• Amazon Best Sellers Rank: #990,692 in Books (See Top 100 in Books)
  • #82 in Books > Computers & Technology > Programming > Algorithms > Data Structures