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.

## Description

### 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
• 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
• 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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