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Introduction to Model-Based Development using MATLAB and Simulink

A comprehensive course on Advanced Driver Assistance System using Matlab and Simulink. This course is highly suited for beginners

Book a Class, for FREE


Jayesh Suryawanshi

Volkswagen (I) Pvt. Ltd.,

RMD Sinhgad

Mithin SanthaKumar

Timetooth Technology

Cochin University of Science and Technology University in Kochi, Kerala

Manthan Waghaye

Altigreen Propulsion Labs Pvt Ltd

Shri Sant Gajanan Maharaj College Of Engineering

Hemant Sagar

KN Associates

PM polytechnic, Delhi ncr , sonipat

Jangaiah Chikonda



sai dinesh


usharama college of engineering and technology

Vadapalli A S Krishna Maruthi Srinivas

advance technologies

Jawaharlal Nehru Technological University, Kakinada

Manas Metar

Sphinix World Biz Limited

University of Wolverhampton


This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects

Course Overview

  • Learn about the fundamentals of MATLAB, Simulink.
  • Learn about Software Development Life Cycle related concepts incl Model based Design, Data Management, Embedded Code Generation, In Loop Validation etc.
  • Implementation of control model of ADAS features.

Course Syllabus

On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.

Week 1- Fundamentals & Basics of MATLAB scripting

  • Introduction to MATLAB scripting and Syntax Basics
  • Vectors, Matrices & Data Types in m-scripting
  • MATLAB Operators, Decision Making Statements & Strings in m-scripting
  • MATLAB Data Structures Overview & Cell Arrays in m-scripting
  • Tables & Structures, MATLAB Functions & Callbacks in m-scripting
  • File Handling Formats, Debugging & Flow Control Logics in m-scripting
  • Block properties, Different Workspaces in m-scripting
  • Programmatically accessing Simulink in m-scripting

Week 2- Simulink

  • Introduction to Simulink & Simulink Toolbars
  • Block Settings, Model Annotation, Simulink Solvers
  • Sources & Sink Libraries
  • Math Operations; Logical & Bit Operations
  • Ports & Subsystems; Atomic Subsystems
  • Masked Subsystem & Linked Libraries
  • Continuous, Discontinuous & Discrete Blocks
  • User-Defined Functions & Lookup Tables
  • Mathematical Model Representation & System Models Creation in Simulink
  • Stateflow-1
  • Stateflow-2

Week 3- MATLAB Model-Based Development

  • Overview of Automotive Industry
  • Software Development demands of Automotive Industry
  • Model Based Development in Automotive Industry & Model Based Development in MATLAB
  • Requirement Analysis in Model Based Development
  • Model Based Development Configuration Parameters Settings
  • Creating Simulink Data Dictionary
  • Accessing Simulink Data Dictionary & Port Property SettingsSignal Names & Signal Property Configuration

Week 4- Model Validation

In this week, the following topics are discussed:

  • Model Simulation & Model Advisor Report
  • Code Generation Settings, Auto-code Generation
  • Overview of Model in Loop, Software in Loop & Hardware in Loop
  • Testing Theory
  • Test Report Analysis (Coverage Analysis & Different Techniques)
  • Model in Loop Testing
  • Software in Loop Testing
  • Overview of Hardware in Loop Testing

Week 5- Advanced Driver Assistance System

  • Introduction to ADAS & Levels of Autonomous Driving
  • Overview to ADAS Features - 1
  • Overview to ADAS Features - 2
  • ADAS Project - Tilt & Telescopic Steering Column
  • Requirement Analysis & Problem Understanding
  • MATLAB Model Development of Tilt & Telescopic Function Feature

Our courses have been designed by industry experts to help students achieve their dream careers

Industry Projects

Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.

Vehicle Direction Detection

During this project work, the students will develop a MATLAB Simulink model for detecting the direction of the vehicle based on the given requirements. The projects should be MBD compliant. A sample time of 0.01s should be chosen for all the signals.

Adaptive Cruise Control

During this project work, the students will develop the Adaptive Cruise Control Feature for passenger cars in the MATLAB Simulink environment based on the given requirements. The students should follow all the MBD related process such as Requirement Tagging and Traceability, SLDD Creation, Configuration Parameter Changes, Model Advisor Check and Code Generation.

Our courses have been designed by industry experts to help students achieve their dream careers

Ratings & Reviews by Learners

Skill-Lync has received honest feedback from our learners around the globe.

Google Rating

Gain Hands-on Automotive Industry Experience with the Introduction to Advanced Driver Assistance Systems (ADAS) Using MATLAB and Simulink.

The Introduction to Advanced Driver Assistance online course covers all aspects of model-based development (MBD), and Embedded Software Development technology implemented using MATLAB, multi-paradigm programming, and a numeric computing environment. MBD finds its application across all automotive software development systems, including Advanced Driver Assistance Systems (ADAS). ADAS is an electronic technology that assists drivers in making driving easier.

Pursuing this course will prepare you for an exciting career in the automotive domain with the expertise in Model-Based Development (MBD), Advanced Driver Assistance Systems (ADAS), Model in Loop Testing (MIL), Software in Loop (SIL) Testing, and Auto Code Generation. 

This course is designed while keeping the latest industry-relevant curriculum in mind. You will get high-quality online video lectures delivered straight to you by the industry experts. Apart from that, you will work on industry-based projects built using MATLAB and Simulink.

Who Should Take the Introduction to Advanced Driver Assistance Systems (ADAS) Using MATLAB and Simulink course?

This ADAS certification course is suitable for all freshers, college students, and working professionals looking to advance their skills in the rapidly changing automotive industry dynamic. So, students pursuing their engineering in mechanical, instrumentation, electrical, automotive, electronics, and mechatronics domains are the best fit for the course. Also, B.Tech and B.E. graduates and working professionals in the mentioned domains can enrol in this course and gain expertise to advance up through the ranks.

Some prerequisites for the course include fundamental insights on Model-Based Development (MBD) and the Advanced Driver Assistance System. Most of the leading OEMs are involved in projects incorporating MATLAB Model-Based Development, MIL - SIL Testing, and ADAS. Therefore, this course will definitely unlock knowledge, skills, and opportunities for OEM professionals interested in working on MATLAB, ADAS, or related projects.

What Will You Learn?

The fast-paced ADAS course puts you in the driver's seat right from the commencement. The Advanced Driver Assistance online course comes with mentorship and guidance from industry experts. The syllabus is designed to bridge the gap between academia and industry and get you market-ready after successful completion. 

Through this MATLAB training, you will learn what is ADAS and you will become proficient in fundamental concepts such as MBD, its requirement, and developing a model from scratch using MATLAB and Simulink. Get ready to grasp in-depth knowledge of creating and accessing Simulink Data Dictionary, model validation, and code generation utilizing Model in Loop and Software in Loop testing. Moreover, you will attain comprehensive knowledge of levels of Autonomous Driving, ADAS, and software architecture that empowers ADAS to perform functions like Traffic Sign Recognition, Anti-Lock Braking System, Adaptive Cruise Control, Tilt and Telescopic Switch, and Traffic Sign Recognition.

Additionally, candidates will get to work on two industry-oriented projects, namely Vehicle Direction Detection and Adaptive Cruise Control, as the minor and major projects, respectively.

Skills You Will Gain

  • The ADAS online course imparts practical knowledge and hands-on experience of MATLAB and Simulink fundamentals.
  • Extensive understanding of Model-based Development (MBD).
  • Validation and code generation skills using MIL and SIL Testing.
  • Exhaustive knowledge regarding ADAS software architecture.
  • Practice real-life projects to identify industry needs.

Key Highlights of the Program

  • Besides the course completion certificate for all participants, the top 5% of learners get a merit certificate.
  • It's one of the comprehensive ADAS courses offering real-time online learning and training for three months. 
  • The course provides personalized, one-on-one video sessions for developing study plans, tracking performance, and clarifying subject-related concerns.
  • Enrolled students get to work on industry-relevant projects to hone their academic and professional skills.

Career Opportunities after Taking the Course

The  Advanced Driver Assistance online course will unlock several opportunities for you, especially in the automotive industry dynamic. As the world is already witnessing the Electric Vehicle (EV) revolution, it's the best time to get yourself upskilled. 

Most prominent automotive businesses, particularly OEMs, are frequently on the hunt for engineers with sound MATLAB / Simulink skills and a good grasp of MBD and MIL - SIL testing. According to the statistics, the national average salary for an ADAS Engineer is Rs, 8,53,300 per annum. The best ADAS certification course prepares you to take up coveted job roles in organizations like Renault, Ford, Tesla, Hyundai, etc.

FAQs on Introduction to Advanced Driver Assistance System (ADAS) using MATLAB and Simulink

Q. How is this course distinct from the ones taught in college?

Field experts have designed the course curriculum to deliver both academic and practical learning experiences. Through projects on MATLAB and Simulink, this course assists you in reconciling academic knowledge with industry application. The curriculum in Indian colleges does not address these concepts or their application in industry.

Q. What if I get stuck somewhere or have any doubts?

A professional support expert engineer is always available to help you with any questions or concerns. You may also contact Skill-Lync professionals for personalized assistance through email and forum support.

Q. Which companies hire for such roles in India?

Many OEMs like Renault, Ford, Tesla, and Hyundai use ADAS features and look out for skilled engineers in this domain.

Q. What kinds of projects will I get to work on as part of the curriculum?

Learners will work on one mini-project and one main project, namely Vehicle Direction Detection and Adaptive Cruise Control.

Q. What are the prerequisites for this MATLAB Simulink course?

You must be pursuing or have completed a B.E/B. Tech degree in Mechanical, Automotive, Electrical, Electronics, Mechatronics, or Instrumentation Engineering. A fundamental understanding of Model-Based Development (MBD) and Advanced Driver Assistance Systems is also expected.

Q. What is the duration of the MATLAB Simulink online course?

The duration of this course is usually three months. However, you may need some more time to finish the project work.

Q. Who are the educators MATLAB Simulink course? How does the learning take place?

Our instructors for this ADAS course are industry experts with ten years of experience. You will be provided with access to recorded videos and the learning takes place through online mode.

Q. What is ADAS?

ADAS is Advanced Driver Assistance System that works primarily to avoid accidents that happen on road due to human error. It is implemented in autonomous vehicles and many other vehicles to assist drivers. It helps to detect vehicles and obstacles that are even in the blind spot using sensors and cameras.

Q. What is the salary of an ADAS engineer?

The national average salary of an ADAS engineer is about INR 8 LPA.

Flexible Pricing

Talk to our career counsellors to get flexible payment options.


INR 40,000

Inclusive of all charges

Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals

  • 1 Year Accessto Skill-Lync’s Learning Management System (LMS)

  • Personalized Pageto showcase Projects & Certifications

  • Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.

  • Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.

  • Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.

Instructors profiles

Our courses are designed by leading academicians and experienced industry professionals.


1 industry expert

Our instructors are industry experts along with a passion to teach.


10 years in the experience range

Instructors with 10 years extensive industry experience.


Areas of expertise

  • Electric vehicles

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