Introduction
Event Overview
Event Processing
Button Events
  Demo 1  Demo 2
Mouse Events
  Demo3
More Components
  Demo 4  Demo 5
  Demo 6  Demo 7
LayoutManagers-1
  Demo 8     Demo 9
  Demo 10  Demo 11
  Demo 12
LayoutManagers-2
  Demo 13  Demo 14
  Demo 15  Demo 16
  Demo 17
Inner Classes
Anonymous Class
Adapter Classes
  Demo 18  Demo 19
Frames & Menus
  Demo 20  Demo 21
Exercises

This chapter looks at a range of practical techniques for building programs.

Java - More GUI Developent

• Events refer mouse clicks, strokes on a keyboard, selection of a menu item, and other actions that a program can respond to.
  
• Event Processing - the steps involved in handling events.
  
• Event examples:
  • Button Events
  • Mouse Events
    
• More Components - radio buttons, checkboxes and other useful components.
  
• Layout Managers - use these tools to arrange components on panels.
  
• Special classes:
  • Inner Classes
  • Anonymous Class
  • Adapter Classes
    
• Frames & Menus - creating a popup frame for an applet or a frame for a standalone application program.
  
• Exercises

Supplements:

• AWT Components
  • Button
    
  • Canvas
    
  • AWT GUI Demo
    
• Swing Dialogs
  
• JOptionPane Dialog
  
• JDialog
• User Interface Enhancements:
  • Part 1: Insets, Borders, Icons
  • Part 2: Look & Feel, other techniques

Tech

• Histogram Display with User Inferface - building from the histogram example in Chapter 6: Tech : Histogram Plot, we add buttons for control and a textfield for input to illustrate the basics of creating a user interface for a graphics program. The demo uses the same HistPanel component used in the previous example.
  
  
• Non-uniform Probability Distributions - while a flat, uniform random number generator is available in the core language, other types of distributions are often required. This section discusses the Transformation technique for obtaining a probability distribution from a uniform distribution. The Gaussian distribution is used as an example.
  
  
• Rejection Method for generating arbitrary shaped probability distributions.
  
  
• Histogram Statistics - a subclass of Histogram provides statistical information on the data.
  
  
• Exercises - expand on the demo programs.

Physics

• Random Numbers and Simulations - discusses why the standard uniform or Gaussian random number generators are not suitable to the types of distributions often needed in scientific simulations.
  
  

• Generating Distributions - uses the rejection technique to generate a custom probability distribution as might be needed in an experiment simulation.
  
  

• Histogram Distribution - use a histogram distribution to generate random numbers that follows that distribution.
  
  

• Monte Carlo Integration - this technique applies random sampling to estimate an integral.
  
  

• Exercises

Last Update: Feb.1.04

           Tech
Histogram UI
  Demo 1
Probablity Distrib.
  Demo 2 Demo 3
RejectionMethod
Histogram Stats
  Demo 4
Exercises

           Physics
Sim & Randomness
Custom Prob. Dist.
   Demo 1
Histogram Dist.
   Demo 2
Monte Carlo
  Demo 3
Exercises