Duration: Hours

MATLAB is a programming platform designed specifically for engineers and scientists to analyze and design systems and products that transform our world. The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics.

Training Mode: Online


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 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

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 data types.

  • Combining tables of data
  • Table Metadata
  • Dates and Durations
  • Discrete Categories

Increasing Automation with Functions

Objective: Increase Automation by Encapsulating modular tasks as user – defined functions. Understand how it 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


For more inputs on Matlab you can connect here.
Contact the L&D Specialist at Locus IT.


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