MATLAB Fundamentals Training Course

Part 1

Introductory Overview of MATLAB

Objective: Provide a broad perspective on what MATLAB is, its components, and its capabilities

• Example Comparison: C vs. MATLAB
• MATLAB Product Overview
• Application Areas for MATLAB
• How MATLAB Can Benefit You
• Course Structure and Outline

Navigating the MATLAB User Interface

Objective: Gain an introduction to the core features of the MATLAB integrated design environment and interface. Understand the key themes covered in the course.

• MATLAB Interface Overview
• Reading data from files
• Saving and loading variables
• Plotting data
• Customizing plots
• Calculating statistics and best-fit lines
• Exporting graphics for other applications

Variables and Expressions

Objective: Execute MATLAB commands with a focus on creating and retrieving data stored in variables.

• Entering commands
• Creating variables
• Accessing help resources
• Retrieving 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 calculations on entire datasets using single commands.

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

Matrix Analysis and Visualization

Objective: Utilize matrices as mathematical entities or as collections of vector data. Learn to apply appropriate MATLAB syntax to distinguish between these uses.

• Size and dimensionality
• Matrix calculations
• Statistical analysis of matrix data
• Plotting multiple columns
• Reshaping data and linear indexing
• Multidimensional arrays

Part 2

Automating Tasks with Scripts

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

• Modeling Example
• 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.

• Importing data
• Mixed data types
• Cell arrays
• Converting between numerals, strings, and cells
• Exporting data

Complex Vector Plots

Objective: Create advanced vector plots, including multiple subplots, and apply color and string manipulation techniques to generate compelling visual data representations.

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

Logic and Flow Control

Objective: Utilize 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 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: Execute standard data analysis tasks in MATLAB, including developing and fitting theoretical models to real-world data. This naturally progresses 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

Function Creation

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

• The purpose 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 methods for converting between types. Data types vary in the data they hold and how that data is organized.

• MATLAB data types
• Integers
• Structures
• Converting types

File Input/Output

Objective: Explore low-level data import and export functions in MATLAB that provide precise control over text and binary file I/O. 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 course delivery may vary slightly from the outline above without prior notice.

Conclusion

Please note that the actual course delivery may vary slightly from the outline above without prior notice.

Objective: Recap the key learnings from the course

• Course summary
• Upcoming MATLAB courses

Please note that the course may include minor adjustments during delivery without prior notification.