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Matlab Programming And Simulation (2025)

Category: Tutorials


Matlab Programming And Simulation (2025)
Free Download Matlab Programming And Simulation (2025)
Published 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.87 GB | Duration: 7h 34m
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
Homepage
https://www.udemy.com/course/matlab-programming-and-simulation/


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