Day 1 of 3

Working with the MATLAB User Interface

Objective: Become familiar with the main features of the MATLAB integrated design environment and its user interfaces. Get an overview of course themes.

• Reading data from files
• Saving and loading variables
• Plotting data
• Customizing plots
• Exporting graphics for use in other applications

Variables and Commands

Objective: Enter MATLAB commands, with an emphasis on creating variables, accessing and manipulating data in variables, and creating basic visualizations. Collect MATLAB commands into scripts for ease of reproduction and experimentation.

• Entering commands
• Creating numeric and character variables
• Making and annotating plots
• Getting help
• Creating and running live scripts

Analysis and Visualization with Vectors

Objective: Perform mathematical and statistical calculations with vectors. Use MATLAB syntax to perform calculations on whole data sets with a single command. Organize scripts into logical sections for development, maintenance, and publishing.

• Performing calculations with vectors
• Accessing and modifying values in vectors
• Formatting and sharing live scripts

Day 2 of 3

Analysis and Visualization with Matrices

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

• Creating and manipulating matrices
• Performing calculations with matrices
• Calculating statistics with matrix data
• Visualizing matrix data

Tables of Data

Objective: Import data as a MATLAB table. Work with data stored as a table.

• Storing data as a table
• Operating on tables
• Extracting data from tables
• Modifying tables

Conditional Data Selection

Objective: Extract and analyze subsets of data that satisfy given criteria.

• Logical operations and variables
• Finding and counting
• Logical indexing

Organizing Data

Objective: Organize table data for analysis. Represent data using appropriate native MATLAB data types.

• Combining tables of data
• Table metadata
• Dates and durations
• Discrete categories

Day 3 of 3

Analyzing Data

Objective: Perform typical data analysis tasks in MATLAB, including importing data from files, preprocessing data, fitting a model to data, and creating a customized visualization of the model.

• Importing from spreadsheets and delimited text files
• Dealing with missing data
• Plotting functions
• Customizing plots

Increasing Automation with Programming Constructs

Objective: Create flexible code that can interact with the user, make decisions, and adapt to different situations.

• Programming constructs
• User interaction
• Decision branching
• Loops

Increasing Automation with Functions

Objective: Increase automation by encapsulating modular tasks as user-defined functions. Understand how MATLAB resolves references to files and variables. Use MATLAB development tools to find and correct problems with code.

• Creating functions
• Calling functions
• Setting the MATLAB path
• Debugging
• Using breakpoints
• Creating and using structures