Advance your career in system programming, embedded systems, and application development through our comprehensive MATLAB & Simulink Crash Course. Designed for aspiring engineers and professionals, this program helps you master real-world simulation and embedded design using industry-standard tools.
MATLAB & Simulink are widely used across engineering, R&D, and automation industries in India. Known for their efficiency, portability, and compatibility, these platforms serve as a strong foundation for both hardware and software design.
By learning these tools, you can design embedded systems, create simulations, and develop algorithms that power robotics, automotive systems, and industrial automation.
Course Name: Crash Course on MATLAB & Simulink
Duration: 10 Days
Hours per Day: 4 Hours
Total Hours: 40
Pre & Post Assessment: Yes
Hands-on Project: Yes
Certification: Course Completion Certificate Provided
Pre-requisite: Basic understanding of MATLAB or Simulink
This crash course has been designed to help you build a strong foundation in MATLAB and Simulink through a practical, project-driven approach.
MATLAB is a high-level programming environment used for data analysis, algorithm development, and numerical computation. It supports a wide range of applications, from signal processing to machine learning.
Simulink, on the other hand, provides a graphical interface for multi-domain simulation and model-based design. It enables engineers to simulate real-world systems, test algorithms, and build robust control models for embedded devices.
Together, MATLAB and Simulink form the backbone of modern embedded systems development, making this one of the best embedded systems courses in Bangalore for career-focused learners.
Throughout this program, you will explore:
By the end of the course, you will gain the confidence to build, test, and deploy complete simulation-based projects independently.
| Introduction to MATLAB | Applications The profiler | MATLAB code generation for an inline or anonymous function |
|---|---|---|
| What Is MATLAB Does MATLAB Do Symbolic Calculations Starting and Quitting MATLAB Will MATLAB Run on My Computer |
Language-specific Features Solutions to Systems of Linear Equations Integration and Differentiation Global variables Symbolic Processing Use of comments to create online help Continuation Loops, branches, and control-flow Interactive input Recursion Input/output Advanced-Data Objects Strings, Time, Base Conversions, and Bit Operations Multidimensional matrices Structures Cells Publishing Reports Linear Algebra Solving a linear system Gaussian elimination Finding eigenvalues and eigenvectors Matrix factorizations Curve Fitting and Interpolation Polynomial curve fitting on the fly |
Generating M-files from symbolic expressions M-File Programming Program Development Working with M-Files M-File Scripts and Functions Function Arguments Function Handles Calling Functions Types of Functions Overview of MATLAB Function Types Anonymous Functions Primary M-File Functions Nested Functions Subfunctions |
| Basics of MATLAB | Graphics | INTRODUCTION TO SIMULINK |
| Basics of MATLAB On-line help Input-output File types Platform dependence General commands you should remember A Minimum MATLAB Session Creating and Working with Arrays of Numbers Creating and Printing Simple Plots Creating, Saving, and Executing a Script File Creating and Executing a Function File Anonymous Functions Symbolic Computation Importing and Exporting Data Files and Directories Publishing Reports |
Curve fitting with polynomial functions
Least squares curve fitting General nonlinear fits Interpolation Data Analysis and Statistics Numerical Integration (Quadrature) Double integration Ordinary Differential Equations ode23 versus ode45 Specifying tolerance The ODE suite Event location Nonlinear Algebraic Equations Roots of polynomials |
Overview of Simulink Features and Architecture Start using Simulink Block Libraries Create a new Model Wiring techniques Help Window Configuration Simulation in Simulink Discrete Dynamical Systems Logical Expressions Modeling from an Algorithm Mixed-Signal Systems Solving Models with Simulink Solver Simulink Subsystems and Libraries Performing Spectral Analysis with Simulink Modeling Multirate Systems Data-driven Modelling Using the Command window Using a m-file Simulation Commands Mass-Spring-Damper System Simulink Simulation |
| Directional Explorations | Plots | Stateflow |
|
Arrays and Matrices Matrices and Magic Squares Expressions Working with Matrices Creating and Concatenating Matrices Matrix Indexing More About Matrices and Arrays Getting Information About a Matrix Resizing and Reshaping Matrices Shifting and Sorting Matrices Operating on Diagonal Matrices Empty Matrices, Scalars, and Vectors Full and Sparse Matrices Multidimensional Arrays Summary of Matrix and Array Functions Controlling Command Window Input and Output |
Basic 2-D Plots Line Plots Style options Labels, title, legend, and other text objects Axis control, zoom in and zoom out Modifying plots with the plot editor Overlay plots Speciali zed 2-D plots Using subplot for Multiple Graphs 3-D Plots Rotate view Mesh and surface plots Vector field and volumetric plot Interpolated surface plots |
Create a Stateflow Model Modeling Flow Graph Modeling State Machine Parallel State Charts Events in State Charts Functions in State Charts Truth Tables and State Transition Tables Stateflow Debugger Finite State Machine Concepts Stateflow and Simulink Stateflow Graphical Components Stateflow Diagram Objects Overview of Stateflow Objects Executing an Event Executing a Chart Executing a Transition Executing a State Using the Stateflow Editor Using States in Stateflow Charts Using Transitions in Stateflow Charts Using Boxes in Stateflow Charts Using Graphical Functions in Stateflow Charts Using Junctions in Stateflow Charts Using Notes in Stateflow Charts Using Subcharts in Stateflow Charts Using Supertransitions in Stateflow Charts Printing and Reporting on Charts Defining Events Defining Data Action Types Defining Stateflow Interfaces |
| Data Types | Animation & Graphics | |
| Overview of MATLAB Data Types Numeric Types Logical Types Characters and Strings Dates and Times Structures Cell Arrays Function Handles |
Handle Graphics Printing Graphics Graphics User Interfaces The object hierarchy Object handles Object properties Modifying an existing plot Complete control over the graphics layout Fun with 3-D Surface Graphics Generating a cylindrical surface Face color, transparency, and light reflection |
Interactive Computation | Interactive Computation |
| Matrices and Vectors Input 65 Indexing (or subscripting) Matrix manipulation Creating vectors Matrix and Array Operations Arithmetic operations Relational operations Logical operations Elementary math functions Matrix functions |
A word about choosing colors Saving and Printing Graphs Saving graphs to reusable files |
|
| Scripts and Functions Character strings | Debugging Tools | |
| Manipulating character strings The eval function Special Note on Array Operations Vectorization Command-Line Functions Inline functions Anonymous functions Using Built-in Functions and On-line Help Saving and Loading Data Saving into and loading from the binary Mat-file Importing data files Recording a session with a diary Plotting Simple Graphs Script Files Function Files Executing a function More on functions M-Lint code analyzer Subfunctions Nested functions Compiled (parsed) functions: The p-code |
Symbolic Math Toolbox and Computer Algebra The Symbolic Math Toolbox The Symbolic Math Toolbox has two essential tools Contents Numeric Versus Symbolic Computation Variable precision arithmetic Using the Symbolic Math Toolbox to Get Help Using the Symbolic Math Toolbox Basic manipulations Talking to itself |
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MATLAB & Simulink is a user-friendly programming language for circuit simulation, image processing, aerodynamics, and embedded development. Its syntax is user-friendly with robust inbuilt functions, and the implementation time is significantly lower than that of the C programming language. Within the electronics field, equipment design necessitates digital processing and accuracy. MATLAB plays a major role in the development of voice control applications for real-time devices.
Professionals trained in MATLAB & Simulink are highly sought after in India’s growing automotive, aerospace, robotics, telecommunications, and renewable energy sectors.
Career paths include:
The embedded systems course curriculum ensures your skills align with industry job requirements and real-world applications.
These tools are extensively used across industries such as:
By mastering MATLAB & Simulink, you can work on projects that contribute to innovation and automation in India’s tech landscape.
Upon completion, you will have mastered key concepts of MATLAB & Simulink from basic coding to complex simulations, preparing you to excel in embedded systems development and advanced engineering roles.
If you’re looking for the best embedded course in Bangalore, this crash course is the perfect place to start your journey toward becoming an industry-ready engineer.
Simulink is a widely used tool for modeling, simulating, and analyzing dynamic systems.it is extensively used in control systems, robotics, and automotive and power systems. It also provides options to generate code from models which can be deployed on applications of microcontrollers FPGA and embedded systems designs.
The real-time design involves power trains, wind turbines, solar energy resources, electric vehicles, power converters, and battery management system design. It also provides huge support in the financial sector for the analysis of data.
There is no replacement tool for Matlab Simulink for performing calculations.it is widely used in signal generation processing and also auto code generation which involves the design of the processor.in control systems, the response of the system is calculated using this Matlab plot diagram.
The use of learning this software provides a good platform to view the toolboxes and visualize complex data sheets. It helps to debug easily and provides a platform to develop applications with a graphical user interface. Matlab can be easily integrated with Python programming, c++, and Excel languages with specific designs.
It is a very rare scenario that ever happened in our institutes. this challenge can resolve by considering their mock performance at each stage and provide training accordingly to our mentors. placement opportunities are made available till they got a job and made them good training on each and every aspect of logic weakness. our curriculum covers in-depth modules on each and every topic
ODE stands for ordinary differential equations.it is a set of tools and functions provided by Matlab software to analyze and solve the system of differential equations. The main function for solving ODEs in Matlab is ode45 implements the rung-kurta method.other ode solvers involves ode23,ode113 and ode15s.
It is also called as GNU octave. Mainly used to solve problems on linear/nonlinear calculations.it is a free alternative to Matlab with similar syntax and functionality.
The main features involve:
A)it supports matrix-based operations
B)It has a large number of inbuilt functions for various mathematical operations signal processing linear algebra and so on.
C)it provides powerful plotting capabilities involved in the design of histograms, and bar charts and also involves in scripting for the development of complex programs.
D)octave also supports external libraries and tools, enabling data exchange integration with other programming languages.
It is used to find the root or zero of a single variable function. It works based on bisection and interpolation methods. This is not suitable for finding more complex equations.it is a type of command function where the function crosses the x-axis or changes the sign.
Matlab is widely used in Linux operating systems. In Linux, one can create Matlab functions and scripts using a text editor and run by using the command prompt window. Matlab with Linux is used in real-time control system applications like robotics, sensor data fusion technologies, and autonomous vehicles.
It supports cloud-based capabilities and services provided by math works. It supports users to access Matlab without the need for local installation. It is also used with any device with a valid internet connection. One common key component involved with Matlab is the Matlab drive. It Helps in storing, managing, and synchronizing Matlab files and data in the cloud.
It is a function used to create an array or matrix filled with ones. It helps the user to create an array of a specified size and each element is set to value 1. The syntax used with one function involves
A= ones(sz)
Sz is a scalar or vector which specifies the size of the output matrix.
Matlab provides a set of functions and tools that allow you to communicate with Arduino boards read sensor data, and control actuators. Connect the Arduino board to the PC through the serial wire and install packages from Arduino. After successful completion data is read from the sensor using the Arduino function “read digital pin”. Matlab provides a platform with a c/c++ algorithm and makes that code deployed in an Arduino board.
The tool used is SMOP(small Matlab and octave to Python compiler). It helps in the translation of Matlab/octave code into equivalent Python code. It contains vast library compatibility with equivalent Python libraries such as numpy,scipy etc.
In Matlab, the function used as ’min’. it is used to find the minimum value in an array and also used to find the minimum element between the multiple arrays.
Syntax:
For example: A=[3,5,2,4,1];
m= min(A);
