MATLAB Training Overview
This MATLAB training course teaches attendees how to create MATLAB programs composed of separate functional modules, advancing beyond simplistic scripts often used by MATLAB beginners. Students also learn programming design principles, as well as debugging and unit-testing for improved program reliability.
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
- Transition from script-centric code to a program-centric one
- Apply good design principles to their code
- Understand various data-passing mechanisms between program components
- Use MATLAB timers for periodic or scheduled code
- Leverage MATLAB’s built-in debugger to detect and resolve bugs
- Use MATLAB’s built-in unit-testing framework to improve program reliability
Prerequisites
Students should be comfortable using the MATLAB environment. No prior programming experience or familiarity is assumed for this course. However, familiarity with programming in any language would be helpful.
Outline
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Introduction to MATLAB programming
- So what’s wrong with using scripts?
- Anatomy of a MATLAB function
- Input and output arguments
- MATLAB function types
- Using function handles
- Function call precedence
- MATLAB’s command/function duality
Programmatic aspects
- Variables scope
- Flow control
- Passing data between program components
- Protecting source code IP using pcode
Improving code reliability and robustness
- Coding conventions and best practices
- Using the MATLAB Debugger
- Code coverage with the MATLAB Profiler
- MATLAB’s unit-testing framework
- MATLAB’s Code Analyzer
- Folder-level reports: Code Compatibility, Contents, Coverage, Dependency
Teamwork
- GIT/SVN integration
- MATLAB Projects
- Tradeoff considerations using shared network access
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
