Mastering MATLAB for Engineering & Data Science
This MATLAB online course is designed for beginners and intermediate learners looking to master MATLAB for engineering, data analysis, and scientific computing. It covers fundamental concepts such as matrix operations, control structures, and data visualization, progressing to advanced topics like signal processing, machine learning, and Simulink modeling. With hands-on coding exercises, real-world projects, and interactive quizzes, students will gain practical experience in solving complex problems using MATLAB. By the end of the course, participants will be proficient in MATLAB programming and ready to apply their skills in academic research, engineering, and industry applications.
Week 1: Introduction to MATLAB
- Lesson 1.1: Introduction to MATLAB and its Applications
- Lesson 1.2: MATLAB Interface and Environment
- Lesson 1.3: Variables, Data Types, and Basic Operations
- Hands-on: Writing and executing basic scripts
- Quiz 1: Fundamentals of MATLAB
Week 2: Vectors, Matrices, and Arrays
- Lesson 2.1: Creating and Manipulating Vectors & Matrices
- Lesson 2.2: Indexing, Slicing, and Logical Operations
- Lesson 2.3: Basic Linear Algebra Functions
- Hands-on: Matrix manipulations and element-wise operations
- Assignment 1: Implementing basic matrix operations
Week 3: Control Flow and Functions
- Lesson 3.1: Conditional Statements (if, else, switch)
- Lesson 3.2: Loops (for, while) and Vectorized Operations
- Lesson 3.3: Writing User-Defined Functions
- Hands-on: Loop vs. Vectorized implementation comparison
- Quiz 2: Control Structures and Functions
Week 4: Data Visualization & File Handling
- Lesson 4.1: Plotting 2D & 3D Graphs (plot, surf, contour)
- Lesson 4.2: Customizing Plots (Labels, Legends, Titles)
- Lesson 4.3: Importing & Exporting Data (Excel, CSV, Text)
- Hands-on: Creating interactive plots and charts
- Assignment 2: Analyzing and visualizing a dataset
Week 5: Advanced Topics
- Lesson 5.1: Symbolic Computation & Solving Equations
- Lesson 5.2: Image Processing Basics
- Lesson 5.3: Signal Processing & FFT
- Hands-on: Image filtering and signal analysis
- Quiz 3: Symbolic computation and signal processing
Week 6: MATLAB for Machine Learning & Simulink
- Lesson 6.1: Basics of Machine Learning in MATLAB
- Lesson 6.2: Regression & Classification Models
- Lesson 6.3: Introduction to Simulink
- Hands-on: Implementing a simple ML model in MATLAB
- Assignment 3: Simulink modeling of a dynamic system
Final Week: Capstone Project & Certification
- Project: Choose from:
- Data Analysis & Visualization
- Image Processing Application
- Control System Simulation
- Live Q&A Session & Wrap-up
- Certificate of Completion
Additional Course Features
✅ Live Coding Demos
✅ Discussion Forums & Peer Review