MATLAB Fundamentals Training Course

Part 1

An Introduction to MATLAB

Objectives: Provide an overview of what MATLAB is, its components, and its capabilities

• Case Study: C vs. MATLAB
• Overview of the MATLAB Product
• Fields of MATLAB Application
• What can MATLAB do for you?
• Course Structure

Interacting with the MATLAB User Interface

Objective: Explore the key features of the MATLAB integrated design environment and its interfaces. Get an overview of the course themes.

• MATLAB Interface
• Reading data from files
• Managing variables: saving and loading
• Data plotting
• Plot customization
• Calculating statistics and best-fit lines
• Exporting graphics for external applications

Variables and Expressions

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

• Command entry
• Variable creation
• Accessing help resources
• Accessing and updating 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 calculations on entire datasets using single commands.

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

Matrix Analysis and Visualization

Objective: Utilize matrices either as mathematical objects or as collections of (vector) data. Learn to distinguish between these uses through appropriate MATLAB syntax.

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

Part 2

Scripting for Command Automation

Objective: Organize MATLAB commands into scripts to facilitate reproducibility and experimentation. As tasks become more complex, entering long command sequences in the Command Window becomes inefficient.

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

Advanced Vector Plotting

Objective: Create complex vector plots, such as multiple subplots, and employ color and string manipulation techniques for compelling data visualizations.

• Graphics structure
• Multiple figures, axes, and plots
• Plotting equations
• Use of color
• Plot customization

Logic and Flow Control

Objective: Use logical operations, variables, and indexing to write flexible code that makes decisions and adapts to different scenarios. Explore constructs for repeating code sections and enabling 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. Examine the differences between displaying images and visualizing matrix data using image methods.

• 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, such as developing and fitting theoretical models to real-world data. This leads to one of MATLAB’s powerful features: solving linear systems of equations with a single command.

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

Function Creation

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

• The rationale for functions
• Creating functions
• Adding documentation/comments
• Calling subfunctions
• Workspaces
• Subfunctions
• Path and precedence

Data Types

Objective: Investigate data types, focusing on syntax for variable creation and array element access, as well as methods for type conversion. Data types vary in the data they contain and how it is organized.

• MATLAB data types
• Integers
• Structures
• Type conversion

File I/O

Objective: Explore MATLAB’s low-level data import and export functions for precise control over text and binary file operations. These include textscan, which offers detailed control over reading text files.

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

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

Conclusion

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

Objectives: Summarize the key takeaways from the course

• Course summary
• Recommended next steps and other MATLAB courses

Please note that the course delivery may include minor variations without prior notice.