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Objects, Abstraction, Data Structures and Design: Using Java

Elliot B. Koffman; Paul A. T. Wolfgang

43 ratings by Goodreads
ISBN 10: 0471467561 / ISBN 13: 9780471467564
Published by Wiley, 2004
Used Condition: Used: Good Soft cover
From Ergodebooks (RICHMOND, TX, U.S.A.)

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Bibliographic Details

Title: Objects, Abstraction, Data Structures and ...

Publisher: Wiley

Publication Date: 2004

Binding: Paperback

Book Condition:Used: Good

About this title

Synopsis:

  • A revolutionary book that intertwines problem solving and software engineering with the study of traditional data structures topics
  • Promotes a five-step methodology to limit program errors and increase efficiency: problem specification, analysis, design, implementation, and testing
  • The Java Application Programming Interface (API) is used throughout and wherever possible, the specification and interface for a data structure follow the Java Collections Framework

From the Back Cover:

“This book stood out to me as having the strongest software development foundation of any I have seen. It prepares students for the mindset of testing code and writing reusable code.”

–  Sarah Matzko, Clemson University

Successfully ascending a mountain takes tenacity, courage, skill, and most of all, preparation.

Similarly, in today’s software engineering industry, the most important work takes place before you even start writing the code. To successfully implement a solution, you first have to work through your options and thoroughly analyze the expected performance of your design.

With Koffman and Wolfgang’s Objects, Abstraction, Data Structures, and Design: Using Java, you’ll develop a thorough understanding of basic data structures and algorithms through an objects-first approach, as well as essential design skills and principles for those critical first steps in the software engineering process. Approximately 20 case studies show you how to apply those skills and principles to real-world problems. Along the way, you’ll gain an understanding of why different data structures are needed, the applications they are suited for, and the advantages and disadvantages of their possible implementations.

Key Features

  • Objects-early approach.
  • Data structures are presented in the context of software engineering principles.
  • 20 case studies reinforce good programming practice.
  • Problem-solving methodology used throughout... “Think, then code!”
  • Emphasis on the Java API and the Collections framework.
  • Optional coverage of event-driven programming.
  • Effective pedagogy.

To learn more about these key features, please see the Features Page and Preface.

"About this title" may belong to another edition of this title.

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