MATLAB Programming Training Overview
This Object-Oriented MATLAB Programming training course teaches students how to create high-quality, maintainable MATLAB programs using the modern object-oriented programming paradigm, replacing the “spaghetti code” too commonly found in beginner-level MATLAB scripts. Students are led from object-oriented design basics to advanced features such as access attributes, encapsulation, property value validations, getter and setter methods, event notification and handling, backward compatibility across MATLAB releases, and run-time performance considerations.
Note: This course can be condensed to a half-day with fewer examples and less hands-on practice. We strongly recommend the full-day version if possible.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Master the fundamentals of object-oriented coding
- Write MATLAB classes
- Customize MATLAB class blocks using attributes
- Understand the differences between, and uses of, handle and value classes
- Write reusable, maintainable MATLAB classes
- Use class inheritance to override objects’ functionality and behavior
- Use class constructs to notify run-time events to subscribed callback listeners
- Use property validators and accessor methods
- Explore MATLAB's hidden object-oriented features
- Understand MATLAB release compatibility and run-time performance tradeoffs
Prerequisites
Attendees should have taken Accelebrate's From MATLAB Scripts to Complete Programs course or have equivalent knowledge. Students should already be comfortable using the MATLAB environment and have some basic programming experience. No prior object-oriented experience is assumed or required for this course. However, familiarity with object-oriented constructs in other programming environments (e.g., C#, C++, Java, or Python) would be helpful.
Outline
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Introduction to MATLAB OOP
- Comparing paradigms: OOP vs. procedural programming
- Importance of OOP for development and maintainability
- OOP use in MATLAB code
- Benefits and drawbacks of using MATLAB OOP
- MATLAB OOP’s historic evolution and future outlook
Programming Object-Oriented MATLAB
- Components of MATLAB OOP
- The format of a MATLAB class
- Offline & run-time inspection of class components
- Constructor and destructor methods
- Handle vs. value classes
- Class packages, folders, files, and attributes
- Handling accessibility attributes
- Bypassing property restrictions (carefully!)
- Dependent (on-the-fly) properties
- Specifying and validating property types and values
- Setter and getter methods for property values
Advanced Object-Oriented MATLAB
- Copying objects (deep/shallow copy)
- Class inheritance
- Overloading class components
- Using static classes
- Object pooling
- The singleton design pattern
- Notifying and listening to events
- Using enumerated values
- MATLAB releases compatibility considerations
- Run-time performance aspects and tradeoffs
Conclusion
Training Materials
All MATLAB training students will receive comprehensive courseware.
Software Requirements
- Any Windows, Linux, or macOS operating system
- A recent version of MATLAB
