KEY MESSAGE: 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. KEY TOPICS: 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. MARKET: For all readers interested in introductory programming courses using the Java programming language.
KEY MESSAGE: 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. KEY TOPICS: 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. MARKET: For all readers interested in introductory programming courses using the Java programming language.
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
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.
|
Ask a Question About this Product More... |
|
