
Introduction to Programming in Java
An Interdisciplinary Approach: International Edition
Pearson (Publisher)
Published on 7. December 2012
Book
Paperback/Softback
736 pages
978-0-321-52656-4 (ISBN)
Article exhausted; check for reprint
Description
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 (TM) programming language. Interesting applications in these fields foster a foundation of computer science concepts and programming skills that students can use in later courses while demonstrating that computation is an integral part of the modern world.
Ten years in development, this book thoroughly covers the field and is ideal for traditional introductory programming courses. It can also be used as a supplement or a main text for courses that integrate programming with mathematics, science, or engineering.
Ten years in development, this book thoroughly covers the field and is ideal for traditional introductory programming courses. It can also be used as a supplement or a main text for courses that integrate programming with mathematics, science, or engineering.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 230 mm
Width: 188 mm
Thickness: 25 mm
Weight
956 gr
ISBN-13
978-0-321-52656-4 (9780321526564)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Robert Sedgewick | Kevin Wayne
Introduction to Programming in Java: Pearson New International Edition
An Interdisciplinary Approach
Book
07/2013
Pearson Education Limited
€65.60
Article exhausted; check for reprint
Persons
Robert Sedgewick teaches in the Department of Computer Science at Princeton University. His primary areas of research are analytic combinatorics and the design, analysis, and implementation of algorithms. He is the author of a widely-used series on algorithms published by Addison-Wesley Professional. Sedgewick is on the Board of Directors for Adobe Systems Incorporated.
Kevin Wayne also teaches in the Department of Computer Science at Princeton University. His research focuses on theoretical computer science, especially optimization and the design, analysis, and implementation of computer algorithms. Wayne received his PhD from Cornell University.
Kevin Wayne also teaches in the Department of Computer Science at Princeton University. His research focuses on theoretical computer science, especially optimization and the design, analysis, and implementation of computer algorithms. Wayne received his PhD from Cornell University.
Content
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
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