MATLAB is a programming platform used for mathematics, engineering and scientific computing. It provides built-in tools for calculations, visualization and application development. It simplifies complex tasks and provides a structured environment for problem-solving and analysis.
Basics
This section gives an overview of MATLAB, its main features and where it is applied.
Installation
Here we will learn how to install MATLAB on different operating systems and set up the environment for use.
Fundamental
Covers the fundamental building blocks of MATLAB:
Matrices
MATLAB is built around matrices, this section explains how to work with matrices.
- Matrix
- Create a New Matrix
- Inverse of a Square Matrix
- Sparse Matrices
- Cosine Similarity Between Two Matrices
Functions
Explains different types of functions in MATLAB:
- Functions
- Creating Function
- User-Defined Functions
- Private Functions
- Function Inputs and Outputs
- Nested Functions
- Inline and Anonymous Functions
- Filter Function
- Function Handles
- Global Variables
- Error Handling
Control Flow and OOP
This section covers decision-making statements, looping constructs and object-oriented programming concepts used to structure and organize code.
- Conditional Statements
- Nested Switch
- Loops
- Break Statement
- Object Oriented Programming (OOP)
- Polymorphism
Plotting and Visualization
Focuses on creating 2D and 3D plots like charts and graphs to represent data visually.
Mathematics
Deals with mathematical computations such as trigonometry, calculus, differentiation, integration and polynomial handling.
Computation and Linear Algebra
Introduces algebraic computations including solving equations, working with eigenvalues and matrix transformations.
- Algebra
- Solving Linear Equations
- Reduced Row Echelon Form
- Eigenvalues and Eigenvectors
- Cayley-Hamilton’s Theorem
Differential Equations
This section shows how to solve differential equations using symbolic and numerical methods.
- Homogeneous Difference Equations
- Laplace Transform
- Fourier transform
- Differential Equation using Laplace Transform
- Method of Variation
Working with Image & Files
This section teaches how to process, analyze and edit images.
- Image Processing
- Edge detection
- Erosion of an Image
- Dilation of an Image
- Morphological operations
- Image shading
- MRI Image Segmentation
- Create Animated GIF Images
- Create Video From An Image
- Read Image File or Complex Image File
- Write Data to Text Files
Machine Learning
Introduces basic machine learning and deep learning concepts.
- Prediction Using Classification and Regression Trees
- Nearest-Neighbor Interpolation Algorithm
- Build Decision Tree
- K-Means Clustering
- Fuzzy C-means Clustering
- Deep Learning
Advanced Topics & Projects
Focuses on advanced tools and project-based learning.