MATLAB Programming Complete Training Course | Beginner to Advanced
MATLAB Programming Course with industry-focused, hands-on training for beginners and professionals. Learn MATLAB programming, numerical computing, data analysis, modeling, simulation, visualization, and algorithm development while building real-world engineering and scientific applications.
The course is structured into five progressive learning blocks that build practical MATLAB programming skills from beginner to professional level.
- Learning Block 1: MATLAB Foundations (Modules 1-3)
- Learning Block 2: MATLAB Programming Fundamentals (Modules 4-6)
- Learning Block 3: Data Analysis, Visualization & File Handling (Modules 7-8)
- Learning Block 4: Applied Mathematics, Numerical Computing & Engineering Applications (Modules 9-10)
- Learning Block 5: Simulink, Modeling, Simulation & Capstone Project (Modules 11-12)
By the end of this course, participants will be able to write professional MATLAB programs, automate computational tasks, perform numerical and engineering calculations, analyze and visualize data, develop mathematical models, build simulations using Simulink, and complete an industry-relevant capstone project. Graduates will gain practical, job-ready skills for careers in engineering, scientific computing, research, automation, artificial intelligence, data analytics, and related technical fields.
Course Content:
Module 1: Introduction to MATLAB
- What is MATLAB? Why It’s Used in Engineering & Science
- Installing MATLAB and Setting Up the Environment
- Understanding the MATLAB Interface: Command Window, Workspace, Editor
- Using MATLAB as a Calculator
- Writing and Running Your First MATLAB Script
- MATLAB Help Documentation & Getting Support
Module 2: Variables, Data Types & Operators
Variables & Data Types:
- Creating and Naming Variables
- Numeric, Character, and Logical Data Types
- Understanding the Workspace and Variable Management
Operators:
- Arithmetic Operators (+, -, *, /, ^)
- Relational Operators (==, ~=, <, >)
- Logical Operators (AND, OR, NOT)
Hands-On Exercises Basic Calculations & Variable Practice
Module 3: Vectors & Matrices in MATLAB
Creating Vectors & Matrices:
- Creating Row & Column Vectors
- Creating Matrices Manually and with Built-in Functions
- Using the Colon Operator for Ranges
Matrix Operations:
- Indexing and Slicing Matrices
- Matrix Addition, Subtraction & Multiplication
- Transpose, Size, Length & Reshape Functions
Project #1 Build and Manipulate a Student Grades Matrix
Module 4: Control Flow & Decision Making
Conditional Statements:
- if, elseif, and else Statements
- switch-case Statements
- Nested Conditional Logic
Hands-On:
- Building a Simple Grading System
- Writing Logical Conditions for Real Problems
Mini Exercise Build a Number Classifier Using if/else
Module 5: Loops & Iteration
Loop Structures:
- for Loops Repeating Tasks a Fixed Number of Times
- while Loops Repeating Until a Condition is Met
- break and continue Statements
Hands-On:
- Looping Through Vectors and Matrices
- Nested Loops for 2D Data Processing
Project #2 Build a Simple Multiplication Table Generator
Module 6: Functions & Scripts
Writing Functions:
- Creating Custom MATLAB Functions
- Input and Output Arguments
- Local vs. Global Variables
Scripts & Organization:
- Difference Between Scripts and Functions
- Organizing Code into Multiple File
Module 7: Data Visualization in MATLAB
2D Plotting:
- Creating Line Plots, Bar Charts & Scatter Plots
- Customizing Titles, Labels, Legends & Colors
- Plotting Multiple Datasets on One Graph
3D Plotting:
- Creating 3D Surface and Mesh Plots
- Subplots for Multiple Graphs in One Figure
- Saving and Exporting Plots as Images
Project #4 Visualize Temperature Data Over Time
Module 8: Working with Data Files
Importing & Exporting Data:
- Reading Data from Excel and CSV Files
- Writing MATLAB Results to Excel/CSV Files
- Working with Text Files in MATLAB
Data Structures:
- Cell Arrays for Mixed Data Types
- Structures (struct) for Organized Data
- Combining Data Structures with Loops & Functions
Mini Exercise Import, Process and Export a Real Dataset
Module 9: Linear Algebra with MATLAB
Matrix Mathematics:
- Determinants and Matrix Inverse
- Eigenvalues and Eigenvectors
- Solving Systems of Linear Equations
Hands-On Applications:
- Using MATLAB to Solve Engineering Problems
- Matrix-Based Real-World Applications
Project #5 Solve a System of Linear Equations Using MATLAB
Module 10: Calculus & Equation Solving
Calculus Operations:
- Symbolic Math in MATLAB (Symbolic Toolbox Basics)
- Differentiation and Integration
- Plotting Functions and Their Derivatives
Solving Equations:
- Solving Algebraic Equations Symbolically
- Finding Roots of Equations Numerically
- Optimization Basics – Finding Min/Max Values
Mini Exercise Solve and Plot a Real-World Equation
Module 11: Introduction to Simulink
Simulink Basics:
- What is Simulink? How It Connects to MATLAB
- Understanding the Simulink Interface & Library Browser
- Building a Simple Block Diagram Model
Hands-On Simulation:
- Connecting Blocks and Running a Simulation
- Visualizing Simulation Results with Scope Blocks
- Simple Use Case: Modeling a Basic System
Mini Exercise Build a Simple Simulink Model
Module 12: Capstone Project & Career Guidance
Capstone Project:
- Select a Real-World Math/Engineering Problem
- Apply MATLAB Programming, Math & Visualization Skills
- Build a Complete Script or Simple Simulink Model
Presentation & Career Guidance:
- Presenting the Final Project to Instructors & Peers
- Building a MATLAB Project Portfolio
- Resume Tips for Engineering & Math-Based Roles
- Next Steps: Advanced MATLAB, Simulink & Data Science Courses
Final Project #6 Complete MATLAB Capstone Project
Learning Outcomes:
Core MATLAB Skills:
- MATLAB Interface, Syntax & Workspace
- Variables, Data Types & Operators
- Vector & Matrix Operations
- Control Flow: if, for, while, switch
- Writing Custom Functions & Scripts
- Debugging & Error Handling
- String & Cell Array Manipulation
- Structured, Reusable MATLAB Code
Applied & Advanced Skills:
- Linear Algebra with Matrices & Vectors
- Solving Equations & Systems of Equations
- Calculus Operations (Differentiation/Integration)
- 2D & 3D Data Visualization & Plotting
- Importing/Exporting Data (Excel, CSV, Text)
- Introduction to Simulink Modeling
- Building Simple Simulations
- Capstone Engineering/Math Project
Career Paths After This Course:
- Junior Engineering Analyst (Mechanical, Electrical, Civil)
- Research Assistant Math, Physics, or Engineering Labs
- Simulation & Modeling Assistant
- Data Analyst Roles Requiring MATLAB Skills
- Academic / Student Research Support
- Foundation for further study in Engineering, Robotics, or Data Science
International Student Fee: 500 USD
Flexible Class Options
- Corporate Group Training | Fast-Track
- Weekend Classes For Professionals SAT | SUN
- Online Classes-Live Virtual Class (L.V.C) Online Training
