Matlab

Programming and Data Analysis with Matlab

4.9(73)6h 53m29 lectures6 sections

What you'll learn

Understand MATLAB fundamentals
Apply programming with MATLAB
Create and analyze data
Analyze data using graphs
Process images and audio
Apply probabilities and statistics

About this course

MATLAB is a programming language used by engineers and scientists to create programs for solving complex mathematical equations, as well as for engineering and scientific calculations. MATLAB allows for efficient analysis of large data sets and is also used for research and high-quality graphical representations. In this course, you will learn everything from A to Z about MATLAB commands and how to use them to create various programs.

Expected outcomes

Master programming using MATLAB.
Handle and analyze data professionally.
Design advanced analytical graphs.
Apply MATLAB tools for data processing and analysis.

Course content

Programming and Data Representation using Matlab

6 lectures

What is MATLAB and How to Install It?14:07
Introduction to MATLAB and Command Writing15:30
Basic Operations on Arrays18:44
Functions and Constants19:25
Solving Linear Equations in MATLAB18:13
Control Flow in MATLAB (If/else, While, For)18:44

Data Construction

5 lectures

Data Structures15:53
Data Plotting17:05
Maps and Graphs Suitable for Data Analysis11:39
Saving and Loading Data8:31
Subplots and 3D Representation7:41

Audio Processing and Analysis in Matlab

8 lectures

Sound9:28
Audio Signal Processing9:18
Fourier Transform23:51
Study of Fourier Transform for Sine Wave14:35
High Pass Filter (HPF)20:47
Low Pass Filter (LPF)8:52
Band Pass Filter (BPF)8:10
Band Stop Filter (BSF)9:27

Image Processing and Analysis in Matlab

4 lectures

Images15:37
Some Operations on Images7:39
The Gaussian Filter and Noise Removal from the Image (Image Blurring)21:43
Removing Various Types of Noise and Edge Detection in the Image21:00

Probabilities

5 lectures

Probabilities in MATLAB15:45
Random Values Taken from Probability Distributions11:07
The Birthday Paradox19:50
Probability Density Function and Cumulative Distribution Function PDF & CDF18:28
Testing Hypotheses11:59

Extensions

1 attachments

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Instructor

Dr. Eng. Mahmoud Ahmed

Software and network engineer with a PhD in data analysis and representation, and an international lecturer.

1,604 students1 courses

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