MATLAB Fundamentals Training Course

Part 1

A Brief Introduction to MATLAB

Goal: Provide an overview of what MATLAB is, its constituent parts, and its capabilities

• Case Study: C vs. MATLAB
• Overview of the MATLAB Product
• Fields of Application for MATLAB
• Potential benefits of MATLAB
• Course Roadmap

Interacting with the MATLAB User Interface

Goal: Introduce the key features of the MATLAB integrated design environment and its interfaces. Provide an overview of the core themes covered in the course.

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

Va​riables and Expressions

Goal: Learn to enter MATLAB commands, focusing on the creation and retrieval of data within variables.

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

Vector Analysis and Visualization

Goal: Execute mathematical and statistical operations on vectors and generate basic visualizations. Learn how MATLAB syntax allows for calculations on entire datasets with a single command.

• Performing calculations with vectors
• Plotting vectors
• Basic plot configurations
• Adding annotations to plots

Matrix Analysis and Visualization

Goal: Utilize matrices both as mathematical objects and as collections of vector data. Understand the correct application of MATLAB syntax to differentiate between these uses.

• Dimensions and size
• Performing calculations with matrices
• Statistical analysis of matrix data
• Plotting multiple columns
• Reshaping data and linear indexing
• Multidimensional arrays

Part 2

Automating Commands via Scripts

Goal: 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 Case Study
• The Command History
• Creating script files
• Executing scripts
• Using comments and code cells
• Publishing scripts

Managing Data Files

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

• Data import procedures
• Handling mixed data types
• Working with cell arrays
• Converting between numerals, strings, and cells
• Data export procedures

Multiple Vector Plots

Goal: Create advanced vector visualizations, including multiple plots, and apply color and string manipulation techniques to generate visually engaging data representations.

• Graphics architecture
• Managing multiple figures, axes, and plots
• Plotting mathematical equations
• Applying colors
• Customizing plot elements

Logic and Flow Control

Goal: Utilize logical operations, variables, and indexing methods to write flexible code capable of making decisions and adapting to different scenarios. Examine programming structures for code repetition and user interaction.

• Logical operations and variables
• Logical indexing
• Programming constructs
• Flow control mechanisms
• Loops

Matrix and Image Visualization

Goal: Visualize images and matrix data in two or three dimensions. Examine the distinctions between displaying images and representing 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

Goal: Execute standard data analysis tasks in MATLAB, such as developing and fitting theoretical models to real-world data. This approach naturally leads to utilizing one of MATLAB’s most powerful features: solving linear systems of equations with a single command.

• Handling missing data
• Correlation analysis
• Data smoothing
• Spectral analysis and FFTs
• Solving linear systems of equations

Creating Functions

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

• The rationale for using functions
• Creating new functions
• Adding comments
• Invoking subfunctions
• Workspaces
• Subfunctions
• Path and precedence

Data Types

Goal: Investigate data types, with a focus 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 hold and their organizational structure.

• MATLAB data types
• Integers
• Structures
• Type conversion

File I/O

Goal: Explore MATLAB’s low-level data import and export functions that offer precise control over text and binary file I/O. This includes textscan, which provides granular 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 contain minor variations from the outline above without prior notice.

Conclusion

Please note that the actual delivery may contain minor variations from the outline above without prior notice.

Goal: Summarize the key learnings from the course

• Course summary
• Upcoming MATLAB courses

Please note that the course delivery may include minor discrepancies not previously announced.