Mastering MATLAB for Beginners to Advanced is a complete course designed to teach you everything you need to know about MATLAB, a powerful tool for technical computing. Whether new to MATLAB or looking to deepen your skills, this course covers everything. You'll start by learning the basics, like navigating the software, performing calculations, and creating scripts to automate tasks. As you progress, you'll master more advanced topics such as data visualization, mathematical computations, and symbolic equations.
One of the course highlights is Simulink, which helps you model and analyze systems like electrical circuits or signal processing tasks. You'll also dive into machine learning with MATLAB, where you'll explore how to use algorithms and neural networks to analyze data and make predictions. Throughout the course, practical projects like simulating a single-phase half-bridge and applying machine learning to real-world data ensure you're learning by doing.
By the end of the course "Mastering MATLAB for Beginners to Advanced," you'll have a solid grasp of MATLAB's capabilities. You'll be able to confidently tackle complex projects, from engineering simulations to data analysis and machine learning tasks. Whether you're a student, engineer, or researcher, mastering MATLAB will open doors to solving problems and innovating in your field.
Mastering MATLAB for Beginners to Advanced Table of Contents:
- Introduction to MATLAB - 10:50
- MATLAB Variables - 08:23
- Creating Vector Variables - 08:23
- Printing "Hello World" in MATLAB - 05:33
- Difference between Scalar, Vector, and Matrices - 07:29
- How to Plot a Graph in MATLAB - 04:53
- Understand Plotting and Labeling in MATLAB - 08:21
- Label, Title, and Legend the Graph - 12:10
- Array and Linear Equation - 10:48
- Array Arithmetic Operation - 10:11
- Solution Metrics - 09:23
- Polynomial Equation - 08:50
- Control Flow - 12:11
- Control Flow Continues - 08:08
- Use While Statement - 08:58
- M Files - 08:25
- Plot Cosine Function - 08:59
- Function File - 10:07
- Analyzing Results - 01:46
- Interpolation - 07:05
- More on Interpolation - 06:39
- Probability and Statistical Data - 07:47
- Probability and Statistical Data Continues - 07:01
- Plot the Outcome - 09:27
- Symbolic Equation - 01:46
- Introduction to Simulink - 09:35
- Sine Wave and Scope - 10:26
- Use some Gain and Saturation - 08:40
- Gain Block - 09:18
- Saturation Block - 09:55
- File System - 09:19
- File System Continues - 07:43
- Creating New File - 04:10
- Read from the File - 08:52
- More Graph Plotting - 10:44
- More Graph Plotting Continues - 11:26
- Introduction to Signal Analysis - 07:44
- Signal Analysis Continues - 10:22
- FFT Example - 12:19
- IFFT Convert Wave Form - 09:06
- Signal Processing - 12:16
- How Signal Represented in MATLAB - 10:43
- Various Filter Technique - 06:20
- Designing Filter Technique Method - 08:57
- Input Signal - 06:42
- Communication System - 01:46
- Communication System Continues - 10:05
- More on Communication System Continues - 04:53
- Differential Equation - 05:14
- Differential Equation Continue - 06:56
- Structure - 07:25
- Introduction to Project - 04:09
- Battery Charge Capacity Parameter - 07:08
- Input Voltage - 05:30
- Ground Voltage - 03:26
- Full Bridge Inverter - 09:29
- DC Voltage to AC Voltage - 03:49
- Introduction to Machine Learning with MATLAB - 07:57
- Machine Learning Techniques - 06:11
- Machine Learning Techniques Continues - 06:29
- Machine Learning with MATLAB - 09:10
- Motivation and Rotation of New Networks - 06:52
- Neural Network Toolbox - 11:43
- What is MATLAB - 06:40
- Array Creation Function - 05:40
- Organizing and Processing Data - 10:28
- Concept of Dimensionality Reduction - 06:09
- Method of Multidimensional Scaling - 08:04
- Clustering Of Data in MATLAB - 06:13
- Practical Representation of Clustering - 05:49
- MATLAB Implementation - 09:01
Who is this course for?
- Students: Undergraduate and graduate students in engineering, computer science, and related fields.
- Professionals: Engineers, data analysts, and scientists looking to enhance their skills with MATLAB for various applications.
- Researchers: Academics and industry researchers need MATLAB for data analysis, simulations, and model development.
- Beginners: Individuals new to programming or computational tools who want to start learning MATLAB.
- Intermediate Learners: Those with some programming or computational experience aiming to advance their MATLAB skills.
- Advanced Users: Experienced MATLAB users interested in advanced topics like Simulink, machine learning, and signal processing.
- Educators: Teachers and instructors who incorporate MATLAB into their curriculum.
- Hobbyists: Enthusiasts exploring MATLAB for personal projects and learning.
- Project Managers: Managers in technical fields requiring MATLAB knowledge for overseeing data analysis, simulations, or machine learning projects.
- General Enthusiasts: Anyone curious about computational tools and interested in exploring MATLAB's applications across various domains.
Click on the links below to Download Mastering MATLAB for Beginners to Advanced!
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