MATLAB Fundamentals Training Course

Part 1

Introduction to MATLAB

Objective: Provide an overview of MATLAB’s capabilities, components, and potential applications

• Comparison Example: C vs. MATLAB
• Overview of MATLAB Products
• Fields of Application for MATLAB
• How MATLAB Can Assist You
• Course Structure

Navigating the MATLAB User Interface

Objective: Introduce the key features of the MATLAB integrated design environment and user interface. Provide an overview of the course’s main themes.

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

Variables and Expressions

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

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

Vector Analysis and Visualization

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

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

Matrix Analysis and Visualization

Objective: Utilize matrices as mathematical objects or as collections of vector data. Clarify the correct 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 to facilitate reproducibility and experimentation. This addresses the impracticality of entering long command sequences in the Command Window as task complexity grows.

• A Modeling Example
• Command History
• Creating script files
• Executing scripts
• Using comments and code cells
• Publishing scripts

Managing 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

Multiple Vector Plots

Objective: Create complex vector plots, including multiple plots, and apply color and string manipulation techniques to generate 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. Explore the differences 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: Perform standard data analysis tasks in MATLAB, including fitting theoretical models to real-world data. This leads to utilizing 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: Enhance automation by encapsulating modular tasks as 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 syntax for variable creation and array element access, and discuss methods for converting between types. Data types vary in the kind of data they contain and how that data is organized.

• 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 operations. These include functions like textscan, which offers detailed control over text file reading.

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

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

Conclusion

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

Objective: Summarize the key learnings from the course

• Course summary
• Other upcoming MATLAB courses

Please note that the course content may be subject to minor adjustments when delivered without prior notice.