MATLAB Fundamentals Training Course

Part 1

Introduction to MATLAB

Objectives: Provide a broad overview of MATLAB’s composition, capabilities, and utility.

• Comparison Example: C vs. MATLAB
• MATLAB Product Overview
• MATLAB Application Domains
• How MATLAB can benefit your workflow
• Course Structure

Navigating the MATLAB User Interface

Objective: Introduce the key features of the MATLAB integrated development environment and its interface. Provide an overview of the course’s central themes.

• The MATLAB Interface
• Reading data from files
• Saving and loading variables
• Plotting data
• 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 on the creation and retrieval of data stored in variables.

• Entering commands
• Creating variables
• Accessing help documentation
• Accessing and modifying variable values
• Creating character variables

Vector Analysis and Visualization

Objective: Perform mathematical and statistical operations on vectors and generate basic visualizations. Discover how MATLAB syntax allows for whole-dataset calculations with a single command.

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

Matrix Analysis and Visualization

Objective: Utilize matrices as mathematical objects or data collections (vectors). Understand the correct application of MATLAB syntax to differentiate between these uses.

• Size and dimensionality
• Matrix calculations
• Statistics for matrix data
• Plotting multiple columns
• Reshaping and linear indexing
• Multidimensional arrays

Part 2

Automating Commands with Scripts

Objective: Consolidate 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
• The Command History
• Creating script files
• Executing scripts
• Comments and Code Cells
• Publishing scripts

Handling Data Files

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

• Data importing
• Mixed data types
• Cell arrays
• Converting between numerals, strings, and cells
• Data exporting

Multiple Vector Plots

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

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

Logic and Flow Control

Objective: Leverage logical operations, variables, and indexing 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 2D or 3D spaces. Explore the distinctions between displaying images and visualizing matrix data via imaging techniques.

• 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: Execute standard data analysis tasks in MATLAB, including developing and 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.

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

Data Types

Objective: Investigate data types, focusing on syntax for variable creation and array element access, and discuss conversion methods. Data types vary in the kind of data they contain and their organizational structure.

• MATLAB data types
• Integers
• Structures
• Converting types

File I/O

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

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

Please note that the actual delivery of the course may be subject to minor adjustments from the outline above without prior notice.

Conclusion

Please note that the actual delivery of the course may be subject to minor adjustments from the outline above without prior notice.

Objectives: Summarize the key learning outcomes.

• Course summary
• Other upcoming MATLAB courses

Please note that the course may be subject to minor changes during delivery without prior notification.