MATLAB Fundamentals Training Course

Part 1

An Introduction to MATLAB

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

• Comparative Example: C vs. MATLAB
• MATLAB Product Overview
• MATLAB Application Areas
• Capabilities and benefits of MATLAB
• Course Outline

Navigating the MATLAB User Interface

Objective: Introduce the main features of the MATLAB integrated development environment and its user interfaces. Provide an overview of course 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

Vari ables and Expressions

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

• Inputting commands
• Creating variables
• Accessing help resources
• Retrieving and modifying variable values
• Creating character variables

Vector Analysis and Visualization

Objective: Perform mathematical and statistical calculations with vectors and create basic visualizations. Demonstrate how MATLAB syntax enables calculations on entire datasets with a single command.

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

Matrix Analysis and Visualization

Objective: Utilize matrices as mathematical objects or as collections of (vector) data. Understand the appropriate use of MATLAB syntax to distinguish between these applications.

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

Part 2

Automating Commands with Scripts

Objective: Organize MATLAB commands into scripts for ease of reproduction and experimentation. As task complexity increases, entering long command sequences in the Command Window becomes impractical.

• A Modeling Example
• The Command History
• Creating script files
• Running scripts
• Comments and Code Cells
• Publishing scripts

Managing Data Files

Objective: Import data into MATLAB from formatted files. Since imported data can vary widely in types and formats, emphasis is placed on working with cell arrays and date formats.

• Importing data
• Mixed data types
• Cell arrays
• Conversions among numerals, strings, and cells
• Exporting data

Multiple Vector Plots

Objective: Create more complex vector plots, including multiple plots, and use color and string manipulation techniques to produce visually appealing data representations.

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

Logic and Flow Control

Objective: Use logical operations, variables, and indexing techniques to create flexible code capable of making decisions and adapting to different situations. Explore programming 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 two or three dimensions. Explore the differences between displaying images and visualizing matrix data.

• 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 typical data analysis tasks in MATLAB, including developing and fitting theoretical models to real-life data. This leads naturally 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: Increase automation by encapsulating modular tasks as 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: Explore data types, focusing on syntax for creating variables and accessing array elements, and discuss methods for converting among data types. Data types differ in the kind of data they may contain and the way the data is organized.

• MATLAB data types
• Integers
• Structures
• Converting types

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 provides precise control of reading text files.

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

Please note that the actual delivered content may be subject to minor discrepancies from the outline above without prior notification.

Conclusion

Please note that the actual delivered content may be subject to minor discrepancies from the outline above without prior notification.

Objectives: Summarize key learnings

• A summary of the course
• Other upcoming courses on MATLAB

Please note that the course content may be subject to minor discrepancies when delivered, without prior notification.