MATLAB Programming Simulink: Beginner to Pro with ChatGPT

Name: MATLAB Programming Simulink: Beginner to Pro with ChatGPT
Rating: 4.6 (1146 reviews)

MATLAB Programming Course: Simulation, Programming Code, and Simulink Programming for Comprehensive Learning

Created byFarhan Anwar | 100k Students | MATLAB Programming and CST Course

Last updated 1/2026

English

What you'll learn

Master MATLAB Basics: Students will gain proficiency in navigating the MATLAB environment, managing variables, and performing matrix and vector operations.
Perform Data Visualization: Learn to create high-quality 2D and 3D plots, continuous and discrete visualizations, and export professional-grade graphs.
Design Interactive Apps: Create GUIs in MATLAB’s App Designer, add callbacks, debug, and package standalone apps for seamless distribution.
Develop MATLAB Applications: Build custom user-defined functions, work with loops and conditional statements, and integrate data for real-world problem-solving.

Course content

10 sections • 62 lectures • 9h 36m total length

1. Introduction to MATLAB: From Basics to Advanced Concepts2:20
Begin by understanding the MATLAB environment—command window, workspace, editor, and current folder—then see how MATLAB enables signal processing, machine learning, robotics, control systems, and engineering, finance, and biomedical imaging.
2. MATLAB Environment Command Window Practical Demonstration4:24
Explore the Matlab command window in this practical demo, learn interactive variable creation, workspace linkage, command history, and using built-in functions like sqrt with matrices for debugging.
3. Understanding and Managing the MATLAB Workspace6:46
Learn to manage the Matlab workspace by clearing the command window and variables, editing and duplicating arrays, loading data, and plotting directly from the workspace.
4. Learning the Editor Window in MATLAB13:15
5. Navigating and Using the Current Folder in MATLAB5:55
Navigate the MATLAB current folder, save scripts within it, and manage file paths to prevent errors when running code.

1. Creating MATLAB Variables Step by Step8:10
2. Understanding Data Types in MATLAB12:54
Explore Matlab data types—from unsigned and signed integers to single and double precision—along with logicals, characters, strings, cells, and structures, plus typecasting basics.
3. Type Casting in MATLAB: Converting Data Types with Precision9:58
4. Working with 3D Matrices in MATLAB: Manipulation and Visualization4:15
5. Matrix Fundamentals and Advanced Operations in MATLAB8:42
6. Matrix Indexing in MATLAB for Data Access and Manipulation6:56
Master matrix indexing in MATLAB to access and update data with a single command, enabling vectorization and faster computation. Explore selecting rows, columns, and submatrices using colon notation.
7. Essential MATLAB Functions for Matrix Operations8:02
8. Useful MATLAB Functions for Matrix Operations7:51
9. Vectors in MATLAB Creation, Operations and Applications6:17

1. Exporting Data in MATLAB as MAT and CSV Files7:18
2. Exporting MATLAB Figures as PNG Images10:27
3. Exporting Tables in MATLAB as TXT and CSV Files8:40
4. Direct Data Import Methods in MATLAB5:05
5. Importing Text Files into MATLAB8:21
Learn to import data from a text file into MATLAB, handling spaces or commas as delimiters, managing header lines, and extracting data into a clean matrix for analysis.
6. Loading Data in MATLAB as Matrices and Tables8:16
7. Loading Images into MATLAB7:46
8. Loading Video Files into MATLAB10:02
Learn how to load an mp4 video into Matlab, create a video reader object, and loop through frames to display and process rgb24 frames for video processing.

1. Creating 3D Plots in MATLAB12:11
2. Continuous and Discrete Plot Techniques in MATLAB9:03
3. Creating High-Quality Plots in MATLAB6:12
4. Generating High-Resolution Plots in MATLAB (600 DPI)10:38
5. Importing Data into MATLAB and Creating Plots6:31
6. Combining Multiple Plots in a Single Figure5:56
7. Graphs and Plots in MATLAB5:56
Learn to create plots in matlab, generate x and y vectors, visualize a sine function with axis labels and a title for a single graph.
8. Creating Subplots in MATLAB5:53

1. IF-ELSE-END Statements in MATLAB6:18
Discover how if-else-end in MATLAB implements conditional logic by executing the if block when true and the else block when false. See age and value examples determine the displayed messages.
2. IF-ELSEIF-ELSE-END Statements in MATLAB6:18
Learn to implement the if-elseif-else-end structure in MATLAB, handling true and false branches, nesting conditions, and creating interactive prompts like age eligibility and value checks.
3. IF-END Conditional Statement in MATLAB6:33
4. SWITCH-CASE Statement in MATLAB4:20

1. Introduction to MATLAB App Designer for Creating Interactive User Interfaces7:12
2. Building a Calculator GUI App in MATLAB App Designer7:32
3. Creating a Simple GUI to Draw a Graph Using a Push Button12:10
4. Adding Callback Functions to Number Buttons in MATLAB App Designer24:12
5. Adding Functions to Operator Buttons in MATLAB App Designer31:26
6. Debugging the Calculator App in MATLAB: Identifying and Fixing Errors36:22
7. Creating an Add-On App in MATLAB App Designer: Enhancing Functionality4:04
Package the calculator by Fawad as an add-on in MATLAB app designer, set package name and icon, select the main file, and auto-load dependencies for installation from the network library.
8. Creating and Installing a Standalone App in MATLAB9:02

1. Classification Learner App Training and Confusion Matrix19:08
2. Data Handling and Preprocessing in MATLAB6:42
3. Linear Regression Model Training and Testing14:35
4. KNN Classifier Loading the Dataset14:36
5. KNN Classifier Training Testing and Prediction12:13
Train a k nearest neighbor classifier on the train set, predict the test set, and evaluate accuracy using a 30% holdout cross-validation split.
6. KNN Performance Evaluation and Confusion Matrix6:13
7. Ensemble Classifier Training Testing and Performance Evaluation14:36

Requirements

Basic Computer Skills: Familiarity with using a computer, including file management and basic software installation.
No Prior MATLAB Knowledge Required: The course starts from the basics, making it beginner-friendly.
Access to MATLAB Software: Students should have MATLAB installed on their computer (trial or licensed version).
Eagerness to Learn: A willingness to explore programming and problem-solving is the only essential requirement.

Description

Comprehensive MATLAB Programming and App Development Course

This MATLAB Programming and App Development course is a complete guide for beginners and professionals who want to master MATLAB's capabilities in programming, data visualization, and app creation. The course starts with an introduction to MATLAB, covering the environment, command window, workspace, editor, and file navigation. Students will learn how to create variables, explore data types, perform type casting, and manage matrices and vectors efficiently.

Matrix operations are at the core of MATLAB, and this course delves into matrix indexing, concatenation, and advanced functions like inverse, determinant, and row reduction. You'll also explore MATLAB's powerful plotting features, including 2D and 3D plots, continuous and discrete data visualization, and creating high-resolution (600 DPI) graphs for professional presentations.

The course emphasizes data integration by teaching how to import and export data as MAT, CSV, text, and image files. You'll also learn to work with videos and directly integrate datasets into MATLAB for analysis.

Control flow topics, including conditional statements (IF-ELSE, SWITCH-CASE) and loops (FOR, WHILE), are thoroughly covered, enabling you to write dynamic and efficient code. Additionally, the course includes creating user-defined functions to build custom solutions.

In the advanced section, you'll learn to use MATLAB's App Designer to build interactive applications. This includes creating GUIs, adding callback functions, debugging, and packaging standalone apps for PC installation.

By the end of this course, you’ll have a strong foundation in MATLAB programming, data visualization, and app development, equipping you to tackle real-world engineering, scientific, and data science problems. Whether you're a student, researcher, or professional, this course will empower you to leverage MATLAB for maximum impact.

Enroll now to unlock the full potential of MATLAB programming and app development!

Who this course is for:

Students and Beginners: Individuals new to programming or MATLAB who want to build a strong foundation in technical computing.
Engineers and Scientists: Professionals seeking to streamline their workflows by utilizing MATLAB for data analysis, simulations, and automation.
Data Analysts and Researchers: Those looking to visualize, analyze, and interpret complex datasets using MATLAB's powerful tools.
App Developers: Anyone interested in designing interactive GUIs and standalone applications with MATLAB’s App Designer.

MATLAB Programming Simulink: Beginner to Pro with ChatGPT

What you'll learn

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Course content

Module 1: MATLAB Introduction & Environment Basics5 lectures • 33min

Module 2: MATLAB Variables, Data Types and Matrices9 lectures • 1hr 13min

Module 3: Matrix Operations and Indexing in MATLAB6 lectures • 35min

Module 4: Data Import & Export in MATLAB8 lectures • 1hr 6min

Module 5: Data Visualization and Plotting in MATLAB8 lectures • 1hr 2min

Module 6: Conditional Statements and Decision Making in MATLAB4 lectures • 23min

Module 7: Loops and Repetitive Programming in MATLAB3 lectures • 31min

Module 8: User-Defined Functions in MATLAB4 lectures • 33min

Module 9: MATLAB App Designer and GUI Development8 lectures • 2hr 12min

Module 10: AI, Machine Learning and Deep Learning in MATLAB7 lectures • 1hr 28min

Requirements

Description

Who this course is for: