In today’s automobile industry, data, testing, and computer models are at the heart of every design. Engineers rely on powerful tools to study systems, improve designs, and validate vehicle performance. MATLAB scripting and Model-Based Development (MBD) are among the most important skills used across modern automotive projects.
This course takes you from MATLAB fundamentals to advanced Model-Based Development workflows. You will learn scripting, data handling, simulation, testing, and deployment methods used by automotive companies.
No previous coding experience is required. The course is designed with a step-by-step approach suitable for beginners and professionals.
MATLAB Fundamentals
Use MATLAB for calculations, data analysis, plotting, and automotive problem solving.
Automotive Applications
Work on drive cycles, fuel efficiency, braking distance, and battery charge calculations.
Model Based Development
Design, test, and deploy automotive systems using MATLAB and Simulink.
Industry Testing Methods
Understand MIL, SIL, and HIL validation workflows used by automotive companies.
Automatic Code Generation
Generate embedded software code directly from models.
Coverage Analysis
Learn Condition, Decision, and MC/DC coverage techniques.
Key Industry Concepts Covered
- Model-In-The-Loop (MIL)
- Software-In-The-Loop (SIL)
- Hardware-In-The-Loop (HIL)
- Automatic Code Generation
- V-Model Software Development Process
- Requirements, Development and Testing Workflow
- Coverage Analysis Techniques
MATLAB Skills
Understand scripting, calculations, plotting, and data analysis.
Industry Projects
Apply skills through automotive examples and mini projects.
MBD Workflow
Master design, simulation, testing, and deployment workflows.
Future Readiness
Prepare for electric vehicles, autonomous driving, and advanced control systems.
Automotive Engineers
Engineers transitioning to Model Based Development workflows.
Software Developers
Developers interested in automotive software and embedded systems.
Students
Students preparing for careers in advanced automotive engineering.
Working Professionals
Professionals looking to strengthen MATLAB and Simulink skills.
- Overview of the automotive industry
- Modern automotive systems and their complexity
- Software development demands in the automotive domain
- What is Model-Based Development (MBD)
- How Model-Based Development works
- Software requirement analysis
- High-level software design
- Low-level software design overview
- Model-in-the-Loop (MiL) testing
- Code generation process
- Software-in-the-Loop (SiL) testing
- Hardware-in-the-Loop (HiL) testing
- Software acceptance testing
- Benefits of MBD in automotive engineering
- Model configuration and requirement traceability
- Introduction to the V-Model
- Model-Based Development process in V-Cycle
- Functional requirements
- Function development
- Software development
- Software integration
- Function integration
- Model verification by simulation (MvS)
- Importance of testing in automotive software
- Static testing
- Dynamic testing
- Testing techniques
- Unit testing
- Functional testing
- Integration testing
- System testing
- Acceptance testing
- Non-functional testing
- Smoke testing
- Regression testing
- Structure-based testing
- Condition coverage
- Decision coverage
- Modified Condition / Decision Coverage (MC/DC)
- Introduction to MATLAB Interface
- Command Window, Workspace, Editor, Path
- Creating and Saving Scripts (.m Files)
- Basic Arithmetic and Operations
- Variables and Data Types
- Creating Row and Column Vectors
- Matrix Operations
- Element-wise Operations
- Indexing and Slicing Data
- Common Matrix Functions
- Scripts vs Functions
- If, Else and ElseIf
- For and While Loops
- Logical and Relational Operators
- Nested Loops and Conditions
- Vehicle Speed Profile Example
- MAT, CSV and TXT File Handling
- Plotting Basics
- Subplots and Multiple Graphs
- 3D Plotting
- Drive Cycle Plot Example
- Vehicle Dynamics Basics
- Acceleration and Braking Calculations
- Fuel Consumption Analysis
- NEDC and WLTP Drive Cycles
- Battery SOC Calculation
- File Input and Output
- Large Dataset Processing
- Automating Tasks with Scripts
- Vehicle Test File Processing
- Functions and Function Handles
- Anonymous Functions
- Cell Arrays, Structures and Tables
- Signal Processing Basics
- Filtering Noisy Vehicle Sensor Data
- Drive Cycle Analysis
- Fuel Efficiency Estimator
- Battery SOC Estimation
- Braking Distance Calculator
- Write MATLAB Scripts Confidently
- Work With Automotive Datasets
- Automate Real World Automotive Calculations