Matlab Programming And Simulation 2025

MATLAB for Beginners: Learn Programming & Simulink from Scratch

What you'll learn

How to use the MATLAB interface and write your first code

Work with vectors, matrices, and perform calculations

Write programs using loops, conditions, and functions

Simulate real-world systems using Simulink

Complete mini and major MATLAB projects with guidance

Use ChatGPT for code help, project ideas, and smart learning

Requirements

Start from scratch—no MATLAB experience needed. Just basic math, simple programming logic, a computer with MATLAB installed, and curiosity to learn.

Description

This beginner-friendly MATLAB course is designed for students, researchers, and professionals who want to learn MATLAB from scratch and apply it in real-world projects. Whether you are from mechanical, electrical, electronics, computer science, or civil engineering—this course will help you master MATLAB basics, programming logic, data visualization, Simulink modeling, and project work.Using easy-to-understand lessons, examples, and guided exercises, this course helps you build confidence with MATLAB tools. You will also use ChatGPT as a smart assistant to solve problems, write code, and speed up your learning.What You Will Learn:How to use the MATLAB interface and write your first codeWork with vectors, matrices, and perform calculationsWrite programs using loops, conditions, and functionsHandle files and analyze data from Excel/CSVCreate beautiful 2D and 3D plotsPerform basic statistical analysis and regressionSimulate real-world systems using SimulinkComplete mini and major MATLAB projects with guidanceUse ChatGPT for code help, project ideas, and smart learningWho Should Join This Course:Engineering students (from 2nd year onwards)Master students working on simulation or modelingPhD scholars using MATLAB for researchProfessionals in R&D, automation, aerospace, automotive, or data scienceTeachers and lab instructors looking to integrate MATLABAnyone curious about MATLAB but has no prior experienceWhy Choose This Course:Step-by-step lessons for beginnersReal-world applications and projectsSmart support with ChatGPTPractice exercises to build skillsIdeal for both students and working professionals

Overview

Section 1: Introduction to MATLAB

Lecture 1 Understand MATLAB interface and environment

Lecture 2 Learn basic commands and operations

Lecture 3 Variable declaration and data types

Lecture 4 Distinguish between scripts and functions

Lecture 5 Solve basic equations

Lecture 6 Use ChatGPT to compare MATLAB variables with Python variables

Section 2: Vectors, Matrices, and Arrays

Lecture 7 Create and manipulate vectors and matrices

Lecture 8 Understand indexing and slicing

Lecture 9 Perform matrix operations

Lecture 10 Use built-in functions like linspace, zeros, ones, eye

Lecture 11 Practice with a matrix calculator (add, multiply, transpose)

Lecture 12 Solve matrix problems using ChatGPT

Section 3: Programming Fundamentals

Lecture 13 Apply conditional statements (if, else, switch)

Lecture 14 Use loops (for, while)

Lecture 15 Nested loops

Lecture 16 Perform logical indexing

Lecture 17 Generate Fibonacci series

Lecture 18 Use ChatGPT to understand loop implementation through examples

Section 4: Functions and File I/O

Lecture 19 Create user-defined functions

Lecture 20 Define input/output arguments

Lecture 21 Handle files

Lecture 22 Save and load the workspace

Lecture 23 Function-based marksheet generator

Lecture 24 Use ChatGPT to create reusable functions

Section 5: Plotting and Visualization

Lecture 25 Create 2D plots (plot, bar, hist, pie)

Lecture 26 Use multiple plots and subplots

Lecture 27 Build 3D plots (mesh, surf, contour)

Lecture 28 Customize and annotate plots

Lecture 29 Plot trigonometric functions

Lecture 30 Use ChatGPT to read a CSV file and plot selected data columns

Section 6: Data Analysis and Statistics

Lecture 31 Import and clean data

Lecture 32 Perform descriptive statistics (mean, median, std, var)

Lecture 33 Implement curve fitting and interpolation

Lecture 34 Conduct basic regression

Lecture 35 Analyze and visualize statistical data

Lecture 36 Use ChatGPT to plot sine and cosine curves together

Section 7: Simulink Basics

Lecture 37 Introduction to Simulink environment

Lecture 38 Build simple models

Lecture 39 Understand blocks and signal flow

Lecture 40 Use simulation controls

Lecture 41 Create a Simulink model for a basic electrical circuit (Ohm’s Law)

Lecture 42 Perform regression analysis using ChatGPT

Section 8: MATLAB Minor Project – Part 1

Lecture 43 Project 1: differential equations

Lecture 44 Project 2: Integration

Section 9: MATLAB Minor Project – Part 2

Lecture 45 Project 3: Fourier transform

Lecture 46 Project 4: Laplace transform

Section 10: Project Part-3

Lecture 47 Project 5: Clustering

Lecture 48 Project 6: Calculator

Engineering students (from 2nd year onwards),Professionals in R&D, automation, aerospace, automotive, or data science,Anyone curious about MATLAB but has no prior experience