MATLAB & Simulink

Language and Programming

MATLAB Fundamentals

Course Highlights

This three-day course provides a comprehensive introduction to the
MATLAB® technical computing environment. No prior programming experience or
knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling,
and programming are explored throughout the course.

Topics include:

  • Working with the MATLAB user interface

  • Entering commands and creating variables

  • Analyzing vectors and matrices

  • Visualizing vector and matrix data

  • Working with data files

  • Working with data types

  • Automating commands with scripts

  • Writing programs with branching and loops

  • Writing functions

  • Automating commands with scripts

Who Should Attend 

Engineers, researchers, scientists, and managers who are new to MATLAB or want to update their knowledge on new version of MATLAB.

Partners 

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Upcoming Program

Techsource Systems is
Mathworks Sole and Authorised Distributor and Training Partner

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Prerequisites

Nil

Course Benefits

Upon the completion of the course, the participants will be able to

- navigate the MATLAB user interface

- create, access and modify vectors and matrices

- perform calculations with vector and matrix data

- visualize vector and matrix data

- import and export data

- write and debug scripts and functions

Course Outline

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