Introduction to Programming in Java: An Interdisciplinary Approach / Edition 1

Introduction to Programming in Java: An Interdisciplinary Approach / Edition 1

by Robert Sedgewick, Kevin Wayne
     
 

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ISBN-10: 0321498054

ISBN-13: 9780321498052

Pub. Date: 07/31/2007

Publisher: Pearson

By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java programming

Overview

By emphasizing the application of computer programming not only in success stories in the software industry but also in familiar scenarios in physical and biological science, engineering, and applied mathematics, Introduction to Programming in Java takes an interdisciplinary approach to teaching programming with the Java programming language.

Elements of Programming: Your First Program; Built-in Types of Data; Conditionals and Loops; Arrays; Input and Output. Functions and Modules: Static Methods; Libraries and Clients; Recursion. Object-Oriented Programming: Data Types; Creating Data Types; Designing Data Types. Algorithms and Data Structures: Performance; Sorting and Searching; Stacks and Queues; Symbol Tables.

For all readers interested in introductory programming courses using the Java programming language.

Product Details

ISBN-13:
9780321498052
Publisher:
Pearson
Publication date:
07/31/2007
Edition description:
New Edition
Pages:
736
Sales rank:
289,590
Product dimensions:
7.30(w) x 9.10(h) x 1.10(d)

Table of Contents

Chapter 1 Elements of Programming
1.1 Your First Program
1.2 Built-in Types of Data
1.3 Conditionals and Loops
1.4 Arrays
1.5 Input and Output
1.6 Case Study: Random Web Surfer

Chapter 2 Functions and Modules
2.1 Static Methods
2.2 Libraries and Clients
2.3 Recursion
2.4 Case Study: Percolation

Chapter 3 Object-Oriented Programming
3.1 Data Types
3.2 Creating Data Types
3.3 Designing Data Types
3.4 Case Study: N-body Simulation

Chapter 4 Algorithms and Data Structures
4.1 Performance
4.2 Sorting and Searching
4.3 Stacks and Queues
4.4 Symbol Tables
4.5 Case Study: Small World

Context
Index

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