MATLAB is a programming platform used for mathematics, engineering and scientific computing. It provides built-in tools for calculations, visualization and application development. It is often chosen for tasks that require accuracy, speed and clear presentation of results.
Why We Use MATLAB?
MATLAB is preferred because it simplifies complex tasks and provides a structured environment for problem-solving and analysis.
- Easy handling of mathematics and matrix operations.
- Built-in functions for data visualization and plotting.
- Useful for simulations, modeling and algorithm development.
- Supports application building with toolboxes and app designer.
Introduction to MATLAB
This section gives an overview of MATLAB, its main features and where it is applied. It explains why MATLAB is used in engineering, science and research.
Getting Started with MATLAB
Here we will learn how to install MATLAB on different operating systems and set up the environment for use. It also introduces the basic workflow of running MATLAB programs.
MATLAB Basics
Covers the fundamental building blocks of MATLAB such as variables, data types, syntax and commands. It also explains strings, classes and tables for organizing data.
Working with Matrices
Since MATLAB is built around matrices, this section explains how to create, modify and use matrices. It also covers matrix operations like inverse, sparse matrices and similarity.
MATLAB Functions
Explains different types of functions in MATLAB, including built-in, user-defined, nested and anonymous functions. It also covers function inputs, outputs and scope of variables.
Control Flow and OOP
This section introduces decision-making and looping constructs in MATLAB, along with object-oriented programming concepts such as classes and polymorphism.
Plotting and Visualization
Focuses on creating 2D and 3D plots, charts and graphs to represent data visually. It also covers curve fitting, annotations and specialized plots like pie charts and histograms.
Mathematics with MATLAB
Deals with mathematical computations such as trigonometry, calculus, differentiation, integration and polynomial handling. It provides the base for solving scientific problems.
Computation and Linear Algebra with MATLAB
Introduces algebraic computations including solving equations, working with eigenvalues and matrix transformations. It also explains important concepts like row reduction and the Cayley-Hamilton theorem.
Differential Equations with MATLAB
Explains how MATLAB can solve differential equations using symbolic and numerical methods. Topics include Laplace transform, Fourier transform and higher-order equations.
Working with Image & Files
This section teaches how to process, analyze and edit images in MATLAB. It also covers file handling such as reading and writing image and text files.
Machine Learning with MATLAB
Introduces basic machine learning concepts implemented in MATLAB such as decision trees, clustering and interpolation. It also touches on fuzzy clustering and deep learning.
Advanced Topics & Projects of MATLAB
Focuses on advanced tools like Simulink, app building and project-based learning. It also includes project ideas and guides for creating MATLAB applications.
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