MATLAB Fundamentals Training Course

Part 1

Introduction to MATLAB

Objective: Provide an overview of the MATLAB platform, its components, and its capabilities

• Example: C vs. MATLAB
• Overview of MATLAB products
• Application areas of MATLAB
• How MATLAB can benefit you
• Course structure

Navigating the MATLAB User Interface

Objective: Gain familiarity with the core features of the MATLAB integrated design environment and its interfaces. Review the course’s main themes.

• 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: Input MATLAB commands, focusing on the creation and retrieval of data within 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 calculations using vectors and generate basic visualizations. Learn how MATLAB syntax allows for calculations on entire data sets with a single command.

• Vector calculations
• Plotting vectors
• Basic plot options
• Annotating plots

Matrix Analysis and Visualization

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

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

Part 2

Scripting for Command Automation

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

• Modelling example
• Command history
• Creating script files
• Running scripts
• Comments and code cells
• Publishing scripts

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

Complex Vector Plots

Objective: Create more advanced vector plots, including multiple figures, and employ color and string manipulation techniques to produce visually compelling data representations.

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

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 distinctions between displaying images and visualizing matrix data via 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: Execute standard data analysis tasks in MATLAB, including the development and fitting of theoretical models to real-world data. This 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

Function Creation

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 the syntax for variable creation and array element access, and discuss methods for converting between types. Data types vary in the nature of the data they hold and their organizational structure.

• MATLAB data types
• Integers
• Structures
• Type conversion

File Input/Output

Objective: Explore low-level data import and export functions in MATLAB that offer precise control over text and binary file I/O. This includes textscan, which provides 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 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 takeaways from the course

• Course summary
• Other upcoming MATLAB courses

Please note that the course may be subject to minor adjustments upon delivery without prior notice.