MATLAB Fundamentals Training Course

Part 1

A Brief Introduction to MATLAB

Objective: Provide an overview of MATLAB’s nature, components, and capabilities

• Case Study: C vs. MATLAB
• MATLAB Product Overview
• MATLAB Application Areas
• What MATLAB can do for you?/li>
• Course Structure

Working with the MATLAB User Interface

Objective: Introduce the main features of the MATLAB integrated design environment and its user interfaces. Provide an overview of the course themes.

• MATLAB Interface
• Importing data from files
• Save and load variables
• Data plotting
• Customizing plots
• Statistical calculations and best-fit lines
• Exporting graphics for other applications

Va​riables and Expressions

Objective: Input MATLAB commands, focusing on creating and accessing data within variables.

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

Analysis and Visualization with Vectors

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

• Vector calculations
• Vector plotting
• Basic plot options
• Plot annotation

Analysis and Visualization with Matrices

Objective: Utilize matrices as mathematical objects or data collections (vectors). Understand the correct use of MATLAB syntax to distinguish between these applications.

• Size and dimensionality
• Matrix calculations
• Matrix data statistics
• Plotting multiple columns
• Reshaping and linear indexing
• Multidimensional arrays

Part 2

Automating Commands with Scripts

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 Modeling Example
• Command History
• Creating script files
• Executing scripts
• Comments and Code Cells
• Publishing scripts

Working with Data Files

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

• Data importation
• Mixed data types
• Cell arrays
• Converting between numerals, strings, and cells
• Data exportation

Multiple Vector Plots

Objective: Create complex vector plots, including multiple plots, and employ color and string manipulation techniques to produce visually appealing data representations.

• Graphics structure
• Multiple figures, axes, and plots
• Equation plotting
• Color usage
• Plot customization

Logic and Flow Control

Objective: Apply logical operations, variables, and indexing techniques to write flexible code capable of decision-making and adaptation. 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 two or three dimensions. Examine the differences in displaying images versus visualizing matrix data as images.

• 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 standard data analysis tasks in MATLAB, including fitting theoretical models to real-world data. This naturally leads 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 into user-defined functions. Understand how MATLAB resolves references to files and variables.

• Why use functions?/li>
• 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 methods for converting between types. Data types vary by content and organization.

• MATLAB data types
• Integers
• Structures
• Type conversion

File I/O

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

• File opening and closing
• Reading and writing text files
• Reading and writing binary files

Please note that the actual delivery may contain minor deviations from the above outline without prior notice.

Conclusion

Please note that the actual delivery may contain minor deviations from the above outline without prior notice.

Objective: Summarize the key learnings from the course

• Course summary
• Other upcoming MATLAB courses

Please note that the course may undergo minor changes during delivery without prior notification.