Today in the automobile industry, everything depends on data, testing, and computer models. Engineers use powerful tools to analyse systems, improve designs, evaluate drive cycles, monitor battery performance, and diagnose faults.
MATLAB is one of the most widely used engineering tools in the automotive industry. This course teaches MATLAB scripting from the beginning using practical automobile engineering examples.
No prior coding knowledge is required. You only need curiosity and a willingness to learn step by step.
- MATLAB interface and workspace
- Scripts and basic programming
- Variables and calculations
- Working with data
- Create engineering plots
- Analyse automotive datasets
- Visualize vehicle performance
- Generate reports and graphs
- Drive cycle analysis
- Fuel efficiency calculations
- Braking distance estimation
- Battery charge tracking
- Real engineering examples
- Problem solving exercises
- Automotive case studies
- Practical MATLAB workflow
What You Will Gain
This course is not about memorizing commands. It helps you think like an engineer who uses MATLAB as a practical tool for calculations, analysis, design, and validation. By the end of the course, you will confidently use MATLAB to solve real automobile engineering problems and build a strong foundation for advanced automotive software development.
- 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