MATLAB Fundamentals Training Course

Part 1

A Brief Introduction to MATLAB

Objectives: Provide an overview of MATLAB's purpose, components, and potential applications.

• Case Study: C vs. MATLAB
• MATLAB Product Overview
• Application Areas for MATLAB
• Benefits of Using MATLAB
• Course Outline

Working with the MATLAB User Interface

Objective: Introduce the key features of the MATLAB integrated development environment and its interfaces, providing a broad view of the course themes.

• MATLAB Interface
• Importing data from files
• Saving and loading variables
• Data plotting
• Customizing plots
• Calculating statistics and best-fit lines
• Exporting graphics for use in other applications

Variables and Expressions

Objective: Learn to enter MATLAB commands, focusing primarily on the creation and access of data within variables.

• Entering commands
• Creating variables
• Accessing assistance
• Retrieving and modifying variable values
• Creating character variables

Analysis and Visualization with Vectors

Objective: Perform mathematical and statistical calculations using vectors and create basic visualizations. Discover how MATLAB syntax allows for calculations on entire datasets with a single command.

• Calculations with vectors
• Plotting vectors
• Basic plot options
• Annotating plots

Analysis and Visualization with Matrices

Objective: Utilize matrices as mathematical objects or as collections of vector data. Understand the appropriate MATLAB syntax to distinguish between these applications.

• Size and dimensionality
• Calculations with matrices
• Statistics with matrix data
• Plotting multiple columns
• Reshaping and linear indexing
• Multidimensional arrays

Part 2

Automating Commands with Scripts

Objective: Consolidate MATLAB commands into scripts for easier reproduction and experimentation. As task complexity increases, entering long sequences of commands directly into the Command Window becomes impractical.

• A Modelling Example
• The Command History
• Creating script files
• Running scripts
• Comments and Code Cells
• Publishing scripts

Working with Data Files

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

• Importing data
• Mixed data types
• Cell arrays
• Conversions among numbers, strings, and cells
• Exporting data

Multiple Vector Plots

Objective: Create more complex vector plots, such as multiple plots, and use color and string manipulation techniques to produce visually appealing representations of data.

• Graphics structure
• Multiple figures, axes, and plots
• Plotting equations
• Using color
• Customizing plots

Logic and Flow Control

Objective: Use logical operations, variables, and indexing techniques to create flexible code capable of making decisions and adapting to different situations. Explore other programming constructs for repeating code sections and interacting with users.

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

Matrix and Image Visualization

Objective: Visualize images and matrix data in two or three dimensions. Explore the differences between displaying images and visualizing matrix data using image tools.

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

Part 3

Data Analysis

Objective: Perform typical data analysis tasks in MATLAB, including developing and fitting theoretical models to real-world data. This leads naturally to one of MATLAB's most powerful features: solving linear systems of equations with a single command.

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

Writing Functions

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

• Why functions?
• Creating functions
• Adding comments
• Calling subfunctions
• Workspaces
• Subfunctions
• Path and precedence

Data Types

Objective: Explore data types, focusing on the syntax for creating variables and accessing array elements, and discuss methods for converting between data types. Data types differ in the kind of data they can contain and how that data is organized.

• MATLAB data types
• Integers
• Structures
• Converting types

File I/O

Objective: Explore low-level data import and export functions in MATLAB that allow precise control over text and binary file I/O. These functions include textscan, which provides detailed control over reading text files.

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

Note that the actual delivered course may be subject to minor discrepancies from the outline above without prior notification.

Conclusion

Note that the actual delivered course may be subject to minor discrepancies from the outline above without prior notification.

Objectives: Summarize what we have learnt

• A summary of the course
• Other upcoming courses on MATLAB

Note that the course might be subject to few minor discrepancies when being delivered without prior notifications.