MATLAB Best Practices Training Overview
This MATLAB Programming Best Practices training course teaches attendees how to create high-quality, maintainable MATLAB programs. Students learn mechanisms for improving code legibility and robustness using standard industry coding conventions. In addition, participants discover common programming pitfalls, compatibility considerations, and easy-to-apply runtime performance tips.
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
- Use coding conventions to improve MATLAB code maintainability
- Apply best practices for writing maintainable, robust MATLAB code
- Isolate MATLAB code from data and functional edge cases
- Understand MATLAB 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. Prior programming experience is neither assumed nor required for this course, but would be helpful.
Outline
Introduction
The importance of maintainability, with specific recommendations
Documentation principles and guidelines
Using M-files vs. scripting
Comparison of MATLAB function and data types
GUI conventions & best practices
Best-practices for improved code performance (speed)
Writing robust fault-tolerant code
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
