MATLAB Fundamentals Training Course

Part 1

A Concise Introduction to MATLAB

Objective: Provide an overview of MATLAB’s identity, composition, and capabilities

• Case Study: C vs. MATLAB
• Overview of the MATLAB Product
• Fields of MATLAB Application
• The Benefits of Using MATLAB
• Course Roadmap

Interacting with the MATLAB User Interface

Objective: Introduce the core features of the MATLAB integrated design environment and its interfaces. Provide a summary of the course themes.

• MATLAB Interface
• Retrieving data from files
• Storing and retrieving variables
• Data plotting
• Customising plots
• Computing statistics and best-fit lines
• Exporting graphics for external use

Variables and Expressions

Objective: Input MATLAB commands, focusing on the creation and retrieval of data within variables.

• Inputting commands
• Defining variables
• Accessing help resources
• Retrieving and altering variable values
• Creating character variables

Vector Analysis and Visualization

Objective: Conduct mathematical and statistical operations on vectors and generate basic visualizations. Demonstrate how MATLAB syntax allows calculations on entire datasets with a single command.

• Vector calculations
• Plotting vectors
• Essential plot options
• Adding annotations to plots

Matrix Analysis and Visualization

Objective: Utilize matrices as mathematical entities or collections of (vector) data. Understand the correct application of MATLAB syntax to distinguish between these uses.

• Size and dimensions
• Matrix calculations
• Statistics on matrix data
• Plotting multiple columns
• Reshaping and linear indexing
• Multi-dimensional arrays

Part 2

Scripting for Command Automation

Objective: Group MATLAB commands into scripts to facilitate reproducibility and experimentation. As task complexity grows, entering long command sequences in the Command Window becomes inefficient.

• A Modelling Case Study
• Command History
• Creating script files
• Executing scripts
• Comments and Code Cells
• Publishing scripts

Managing Data Files

Objective: Import data into MATLAB from formatted files. Given the variety of data types and formats, emphasis is placed on handling cell arrays and date formats.

• Data import
• Mixed data types
• Cell arrays
• Converting between numerals, strings, and cells
• Data export

Multiple Vector Plots

Objective: Create more advanced vector plots, including multiple plots, and apply colour and string manipulation techniques for compelling data visualizations.

• Graphics structure
• Multiple figures, axes, and plots
• Plotting equations
• Using colour
• Customising plots

Logic and Flow Control

Objective: Employ logical operations, variables, and indexing to write flexible code capable of making decisions and adapting to varied conditions. Explore programming constructs for code repetition and user interaction.

• Logical operations and variables
• Logical indexing
• Programming constructs
• Flow control
• Loops

Matrix and Image Visualization

Objective: Visualize images and matrix data in 2D or 3D. Distinguish between displaying images and visualizing matrix data using image representations.

• Scattered Interpolation using vector and matrix data
• 3-D matrix visualization
• 2-D matrix visualization
• Indexed images and colormaps
• True colour images

Part 3

Data Analysis

Objective: Execute standard data analysis tasks in MATLAB, such as developing and fitting theoretical models to real-world data. This leads to a key MATLAB feature: solving linear systems of equations with a single command.

• Handling missing data
• Correlation
• Smoothing
• Spectral analysis and FFTs
• Solving linear systems of equations

Function Development

Objective: Enhance automation by encapsulating modular tasks into user-defined functions. Understand how MATLAB resolves references to files and variables.

• The role of functions
• Creating functions
• Adding comments
• Calling subfunctions
• Workspaces
• Subfunctions
• Path and precedence

Data Types

Objective: Examine data types, focusing on syntax for variable creation and array element access, and discuss conversion methods. Data types vary in the data they hold and their organization.

• MATLAB data types
• Integers
• Structures
• Type conversion

File I/O

Objective: Investigate low-level data import and export functions in MATLAB for precise control over text and binary file I/O. These functions include textscan, which allows detailed control over text file reading.

• Opening and closing files
• Reading and writing text files
• Reading and writing binary files

Please note that the actual delivery may differ slightly from the outline above without prior notice.

Conclusion

Please note that the actual delivery may differ slightly from the outline above without prior notice.

Objective: Summarize the key learnings

• Course recap
• Other upcoming MATLAB courses

Please be aware that the course may have minor deviations during delivery without prior notification.