image for course MATLAB Programming Techniques

MATLAB Programming Techniques

Write efficient, robust, and well-organized code using features in MATLAB®. Take your coding to the next level by learning skills that will take you from someone who writes working MATLAB code to someone who develops high-quality MATLAB applications.

Course modules

Introduction

Overview of the content covered.

Lessons:
  • Course Overview

Structuring Data

Explore choices for storing data within a MATLAB application.

Lessons:
  • MATLAB Data Types
  • Text Data
  • Organizing Data in a Table
  • Extracting Data from a Table
  • Storing Data in a Cell Array
  • Extracting Data from a Cell Array
  • Organizing Data in a Structure
  • Extracting Data from a Structure
  • Review - Structuring Data

Manipulating Heterogeneous Data

Manipulate data in tables, cell arrays, and structure arrays.

Lessons:
  • Extracting Multiple Elements from Cell and Structure Arrays
  • Function Handles
  • Applying Scalar Functions to Arrays
  • Converting Data Types

Optimizing Your Code

Use common techniques for improving performance when storing, accessing, and processing data.

Lessons:
  • Measuring Performance
  • Finding Bottlenecks
  • Vectorization
  • Memory Usage
  • Preallocation
  • Improving Memory Usage in Functions
  • Review - Optimizing Your Code

Creating Flexible Functions

Write functions that can handle different numbers and types of user input values.

Lessons:
  • Creating Flexible Function Interfaces
  • Creating Multiple Interfaces with Wrapper Functions
  • Converting Input Types
  • Querying Function Inputs
  • Setting Default Input Values
  • Allowing Any Number of Inputs
  • Matching Text Inputs to an Allowed Set
  • Allowing a Variable Number of Outputs
  • Changing the Function Interface with Anonymous Functions
  • Review - Creating Flexible Functions

Creating Robust Applications

Create robust applications that withstand unexpected input and produce meaningful errors. Use built-in MATLAB functions and programming constructs, and employ techniques for handling error conditions.

Lessons:
  • Course Example - Structuring the Satellite Tracking Code
  • Restricting Access Using Private Functions
  • Writing Local Functions
  • Generating Custom Warning and Errors
  • Validating Function Inputs
  • Catching and Handling Errors
  • Review - Creating Robust Applications

Verifying Application Behavior

Create tests to verify the application is behaving as expected.

Lessons:
  • Why Use a Testing Framework
  • What Is a Test
  • Writing and Running a Test Script
  • Avoiding Bugs in Comparisons
  • Writing Test Functions
  • Verifying Behavior
  • Passing Commands as Inputs
  • Adding Pre- and Post-Test Tasks

Debugging Your Code

Use integrated tools to debug applications.

Lessons:
  • Repairing Satellite Tracking Code
  • Errors and Debugging
  • Code Analyzer
  • Debugging Run-Time Errors

Organizing Your Projects

Use folder reports, MATLAB Projects, and version control to organize and manage your projects.

Lessons:
  • Organizing Satellite Tracking Code
  • Running Folder Reports
  • Organizing Code with MATLAB Projects
  • Managing a Code Base with Source Control
  • Review - Organizing Your Projects

Conclusion

Learn next steps and provide feedback on the course.

Lessons:
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Object-Oriented Programming Onramp

Learn the basics of using object-oriented programming in MATLAB to model real-world objects and manage software complexity.

MATLAB Onramp

Get started quickly with the basics of MATLAB.

MATLAB Fundamentals

Learn core MATLAB functionality for data analysis, modeling, and programming.