Learning MATLAB (2018)

Course details

MATLAB is one of the most popular programming languages today for engineers and scientists, and with good reason-it allows analysts to work efficiently with large amounts of data. Instructor Steven Moser shows you how to harness the MATLAB tools and create programs to model your own data and hypotheses. First, learn how to create basic variables and cell arrays, and work with the core MATLAB syntax, which is significantly different than other programming languages. Then discover how to create scripts and functions, work with matrices, debug your program, and import data. To illustrate your findings, Steven shows how to create 2D and 3D plots, add annotations, and incorporate images. The final chapter covers Simulink, the MATLAB block diagram tool.

Learning objectives
Creating MATLAB variables
Working with matrix and scalar operations
Using if statements and loops
Creating functions
Importing data
Building basic plots and 3D plots
Working with images
Creating Simulink models

Concepts

0. Introduction

01 - Welcome
02 - What you need to know
03 - Using the exercise files
04 - Getting MATLAB

1. General Concepts

05 - Understand the interface
06 - Create variables
07 - Variable classes
08 - Cell arrays

2. Core MATLAB Syntax

09 - Our first script
10 - Populate matrices
11 - Matrix and scalar operations
12 - If statements
13 - Switch statements
14 - For loops
15 - While loops

3. Programming in MATLAB

16 - The MATLAB path
17 - Create and use a function
18 - Import external data
19 - Debugging
20 - Performance considerations

4. Data Representations

21 - Creating basic plots
22 - Making a plot pretty
23 - Adding annotations
24 - Working with images
25 - Creating 3D plots

5. Intro to Simulink

26 - Overview of Simulink
27 - Our first Simulink model
28 - Beware of sample times
29 - A simple loop

Conclusion

30 - Next steps

Learning MATLAB (2018)

Authors

Steven Moser