MATLAB Fundamentals Training Course

Part 1

A Brief Introduction to MATLAB

Objectives: Provide a broad perspective on the nature of MATLAB, its components, and its capabilities

• Case Study: C vs. MATLAB
• Overview of MATLAB Products
• Application Domains of MATLAB
• Benefits of MATLAB for Your Work
• Course Structure

Working with the MATLAB User Interface

Objective: Introduce the primary features of the MATLAB integrated design environment and user interface. Present an overview of the course themes.

• MATLAB Interface
• Reading data from files
• Saving and loading variables
• Data plotting
• Customizing plot elements
• Calculating statistics and best-fit lines
• Exporting graphics for external applications

Va​riables and Expressions

Objective: Execute MATLAB commands, with a focus on creating and retrieving data within variables.

• Inputting commands
• Defining variables
• Accessing help resources
• Retrieving and updating variable values
• Generating character variables

Analysis and Visualization with Vectors

Objective: Conduct mathematical and statistical operations on vectors and generate fundamental visualizations. Demonstrate how MATLAB syntax facilitates operations on entire datasets using single commands.

• Vector calculations
• Plotting vectors
• Essential plot settings
• Annotating charts

Analysis and Visualization with Matrices

Objective: Utilize matrices as mathematical entities or collections of (vector) data. Clarify the correct application of MATLAB syntax to differentiate between these uses.

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

Part 2

Automating Commands with Scripts

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

• A Modeling Example
• Command History
• Creating script files
• Executing scripts
• Comments and Code Cells
• Script publication

Working with Data Files

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

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

Multiple Vector Plots

Objective: Create advanced vector visualizations, such as multiple plots, and employ color and string manipulation techniques to generate compelling data representations.

• Graphics architecture
• Multiple figures, axes, and plots
• Plotting equations
• Color application
• Plot customization

Logic and Flow Control

Objective: Apply logical operations, variables, and indexing techniques to develop flexible code capable of making decisions and adapting to different scenarios. Investigate additional programming constructs for code repetition and user interaction.

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

Matrix and Image Visualization

Objective: Visualize images and matrix data in two or three dimensions. Differentiate between displaying images and visualizing matrix data using image 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, such as 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 analysis
• Smoothing techniques
• 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 purpose of functions
• Function creation
• Adding comments
• Calling subfunctions
• Workspaces
• Subfunctions
• Path and precedence

Data Types

Objective: Investigate data types, focusing on the syntax for creating variables and accessing array elements, and discuss methods for converting between data types. Data types vary in the kind of data they hold and their organizational structure.

• MATLAB data types
• Integers
• Structures
• Type conversion

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 offers precise control over reading text files.

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

Please note that the delivered content may vary slightly from the outline above without prior notice.

Conclusion

Please note that the delivered content may vary slightly from the outline above without prior notice.

Objectives: Summarize the key learnings

• Course summary
• Other upcoming MATLAB courses

Please note that the course delivery may involve minor discrepancies without prior notification.