MATLAB & Simulink

Language and Programming

Object-Oriented Programming with MATLAB

Course Highlights

Attendees will learn to use object-oriented programming techniques to develop and maintain complex MATLAB® applications. In addition, ideas from a test-driven development approach to foster software quality and flexibility are introduced. Topics include:

• Defining robust, intuitive, and reusable custom data types

• Creating maintainable and extensible applications via inheritance and aggregation

• Making applications reliable and flexible with unit tests

• Enabling object synchronization using events and listeners

• Creating and manipulating object arrays of distinct data types

Prerequisite

MATLAB Programming Techniques or equivalent experience using MATLAB.

Course Outline

Day 1 of 2

Techsource Systems is
Mathworks Sole and Authorised Distributor and Training Partner

Creating Custom Data Types

Objective: Organize your files into packages. Learn some of the basic techniques and benefits of object-oriented programming and experience the differences between procedural and object-oriented programming.

• Creating a namespace by storing multiple files in a package

• Encapsulating data and functionality into a single class definition file

• Documenting custom data types

• Creating and using variables of custom data types

Designing a MATLAB Class

Objective: Make objects reliable by separating interface and implementation. Enhance code maintainability by avoiding code duplication. Customize standard operations for your classes.

• Defining safe interactions via data access methods

• Designing the public class interface with property and method attributes

• Customizing standard operators for your class

• Avoiding code duplication through internal refactoring

Building Class Hierarchies

Objective: Relate multiple similar classes via a common superclass. Extend the generic superclass by specializing its behavior in the subclasses.

• Creating a superclass via abstraction

• Inheriting from a superclass

• Defining abstract properties and methods

• Implementing specialized behavior in subclasses

Facilitating Multiple References

Objective: Embed one class into another via aggregation. Distinguish the use cases for pass-by-value vs. pass-by-reference behavior. Define a class that exhibits reference behavior.

• Creating a viewer class containing a data class

• Writing context-sensitive (polymorphic) code

• Referencing one data object from multiple viewer objects

• Choosing between handle and value classes

Day 2 of 2

Writing Unit Tests

Objective: Guarantee correct behavior by writing formal tests for the corresponding unit of code. Use the unit-testing framework provided within MATLAB. Enhance the quality and flexibility of your software.

• Overview of the MATLAB unit testing framework

• Writing a test method

• Creating a test environment using setup and teardown methods

• Parameterizing a test method

• Aggregating and running suites of tests

• Logging test and coverage results

Synchronizing Objects

Objective: Automatically react to property changes using predefined events, listeners, and callbacks. Trigger function calls based on custom events.

• Events, listeners, and callbacks

• Using predefined property events

• Querying class meta information

• Defining property listeners

• Implementing a callback function

• Defining custom events and their callbacks

Converting and Concatenating Objects

Objective: Implement data type conversions. Define precedence relationships between classes. Construct heterogeneous object arrays.

• MATLAB operator precedence rules

• Converting objects from one class to another

• Defining a hierarchy of heterogeneous classes

• Implementing methods for heterogeneous arrays