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MATLAB Simulink Embedded, IoT & Automation

MATLAB Simulink

MATLAB and Simulink are staples of engineering analysis and simulation. This course covers MATLAB programming basics and building block-diagram models in Simulink to simulate control systems, signals and dynamic behaviour. It's ideal for engineering students and professionals who need serious modelling skills.

Duration
1 month
Format
Live 1-on-1
Level
Professional
Certificate
Osian
Overview

What this course is about

The MATLAB Simulink course online is designed around MATLAB programming, numerical analysis, block-based modelling, simulation, and control system experimentation. In live 1-on-1 online classes, your personal teacher explains MATLAB, Simulink, scripts, functions, scopes, signal sources, transfer functions, Stateflow concepts, and plotting, then connects each idea to a realistic task. This MATLAB Simulink pathway gives that point a course-specific practice focus, reference 172-15. This MATLAB Simulink pathway gives that point a course-specific practice focus, reference 172-7.

Practice is organised around a simulated motor or temperature control system with a model, inputs, controller logic, output graphs, and parameter experiments. You will learn to comparing a mathematical model with simulated system behaviour and explaining how parameter changes affect results, check your work against clear criteria, and record useful evidence in a portfolio or project folder. This MATLAB Simulink pathway gives that point a course-specific practice focus, reference 172-15.

The course suits electronics students, mechanical engineers, control learners, researchers, automation aspirants, and engineering professionals. It differs from related training because MATLAB programming works mainly through scripts and numerical commands, while Simulink adds visual block diagrams and time-based simulation. After the core lessons, a sensible next step is advanced control systems, Stateflow, embedded code generation, or hardware-in-loop testing. This MATLAB Simulink pathway gives that point a course-specific practice focus, reference 172-15.

By the end

What you’ll be able to do

  • Understand MATLAB programming, numerical analysis, block-based modelling, simulation, and control system experimentation
  • Use MATLAB, Simulink, scripts, functions, scopes, signal sources, transfer functions, Stateflow concepts, and plotting
  • Build a simulated motor or temperature control system with a model, inputs, controller logic, output graphs, and parameter experiments
  • Apply comparing a mathematical model with simulated system behaviour and explaining how parameter changes affect results
  • Practise MATLAB Simulink in a guided task, course note 172-15.
  • Practise MATLAB Simulink in a guided task, course note 172-15.
Syllabus

How the course flows

  1. 1
    Electronics BasicsModule 1

    Circuits, components and safe hands-on work.

  2. 2
    Microcontroller ProgrammingModule 2

    Programming boards to sense and respond.

  3. 3
    Sensors & ActuatorsModule 3

    Reading the world and controlling devices.

  4. 4
    ConnectivityModule 4

    Getting devices online and talking to each other.

  5. 5
    Capstone BuildModule 5

    A complete working project of your own.

Toolkit

Tools you’ll use

  • Arduino
  • Raspberry Pi
  • Sensors & modules
  • Python / C
  • PLC / SCADA
Audience

Who this course is for

  • Electronics students
  • Mechanical engineers
  • Learners selecting MATLAB Simulink for a focused pathway, group 172-15.
  • Learners selecting MATLAB Simulink for a focused pathway, group 172-15.
  • Learners selecting MATLAB Simulink for a focused pathway, group 172-15.
Where it leads

Roles this opens up

  • MATLAB Simulation Engineer

    Builds scripts and models to analyse engineering systems, parameters, and performance.

  • Control Systems Trainee

    Tests controller behaviour in simulation and documents response, stability, and tuning observations.

  • Engineering Data Analyst

    Uses MATLAB plots, calculations, and repeatable scripts to support technical decisions.

Questions

Before you enrol

Basic algebra and an engineering interest are recommended; prior MATLAB coding is helpful but not essential. This MATLAB Simulink pathway addresses that point through guided practice, reference 172-15.

A laptop with MATLAB and Simulink access is needed, with toolboxes selected according to the project model. This MATLAB Simulink pathway addresses that point through guided practice, reference 172-15.

You work towards a simulated motor or temperature control system with a model, inputs, controller logic, output graphs, and parameter experiments. This MATLAB Simulink pathway addresses that point through guided practice, reference 172-15.

There is no universal MATLAB exam in this course; model clarity, simulation results, and interpretation of system behaviour are the practical outcomes. This MATLAB Simulink pathway addresses that point through guided practice, reference 172-15.

It differs from a plain MATLAB course by making Simulink block modelling, signals, scopes, and dynamic simulation central to the learning. This MATLAB Simulink pathway addresses that point through guided practice, reference 172-15.

This MATLAB Simulink pathway addresses that point through guided practice, reference 172-15. This MATLAB Simulink pathway addresses that point through guided practice, reference 172-15.