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Mastering MATLAB for Beginners to Advanced

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Mastering MATLAB for Beginners to Advanced, available at $54.99, has an average rating of 4.67, with 71 lectures, based on 3 reviews, and has 627 subscribers.

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You will learn about Foundational MATLAB Skills: Understanding MATLAB environment and interface. Creating and manipulating variables, vectors, and matrices. Data Visualization: Plotting and labeling graphs. Adding titles, labels, and legends to plots. Mathematical Computations: Solving linear and polynomial equations. Performing arithmetic operations on arrays. Control Flow and Functions: Implementing control flow statements like loops and conditionals. Writing and using MATLAB scripts and function files Intermediate MATLAB Concepts: Analyzing results and data interpolation. Working with probability and statistical data. Advanced MATLAB Techniques: Introduction to Simulink and its applications. Signal analysis and processing. Filter Design: Designing and implementing filter techniques for signal processing. Communication Systems: Understanding and simulating communication systems in MATLAB. Practical Project Application: Simulating a single-phase half-bridge project, including battery charge capacity and voltage conversion. Machine Learning with MATLAB: Introduction to machine learning concepts and techniques. Using MATLAB for clustering, dimensionality reduction. This course is ideal for individuals who are Students: Undergraduate and graduate students in engineering, computer science, and related fields who need to learn MATLAB for their coursework or research projects. or Professionals: Engineers, data analysts, and scientists looking to enhance their skill set with MATLAB for various applications in their respective fields. or Researchers: Researchers in academia or industry who require MATLAB for data analysis, simulations, or model development. or Beginners: Individuals new to programming or computational tools who are looking to start their journey with MATLAB. or Intermediate Learners: Those with some experience in programming or using other computational tools who want to advance their knowledge specifically in MATLAB. or Advanced Users: Experienced MATLAB users who want to deepen their understanding and explore advanced topics like Simulink, machine learning, and signal processing. or Educators: Teachers and instructors who use MATLAB in their curriculum and want a comprehensive resource to recommend to their students. or Hobbyists: Enthusiasts interested in using MATLAB for personal projects, learning, or experimenting with computational tools. or Project Managers: Project managers in technical fields who need to understand MATLAB capabilities for overseeing projects that involve data analysis, simulations, or machine learning. or Anyone Interested in Computational Tools: Anyone with a curiosity about MATLAB and its applications in various fields, from data analysis to engineering simulations and beyond. It is particularly useful for Students: Undergraduate and graduate students in engineering, computer science, and related fields who need to learn MATLAB for their coursework or research projects. or Professionals: Engineers, data analysts, and scientists looking to enhance their skill set with MATLAB for various applications in their respective fields. or Researchers: Researchers in academia or industry who require MATLAB for data analysis, simulations, or model development. or Beginners: Individuals new to programming or computational tools who are looking to start their journey with MATLAB. or Intermediate Learners: Those with some experience in programming or using other computational tools who want to advance their knowledge specifically in MATLAB. or Advanced Users: Experienced MATLAB users who want to deepen their understanding and explore advanced topics like Simulink, machine learning, and signal processing. or Educators: Teachers and instructors who use MATLAB in their curriculum and want a comprehensive resource to recommend to their students. or Hobbyists: Enthusiasts interested in using MATLAB for personal projects, learning, or experimenting with computational tools. or Project Managers: Project managers in technical fields who need to understand MATLAB capabilities for overseeing projects that involve data analysis, simulations, or machine learning. or Anyone Interested in Computational Tools: Anyone with a curiosity about MATLAB and its applications in various fields, from data analysis to engineering simulations and beyond.

Enroll now: Mastering MATLAB for Beginners to Advanced

Summary

Title: Mastering MATLAB for Beginners to Advanced

Price: $54.99

Average Rating: 4.67

Number of Lectures: 71

Number of Published Lectures: 71

Number of Curriculum Items: 71

Number of Published Curriculum Objects: 71

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will Learn

  • Foundational MATLAB Skills: Understanding MATLAB environment and interface. Creating and manipulating variables, vectors, and matrices.
  • Data Visualization: Plotting and labeling graphs. Adding titles, labels, and legends to plots.
  • Mathematical Computations: Solving linear and polynomial equations. Performing arithmetic operations on arrays.
  • Control Flow and Functions: Implementing control flow statements like loops and conditionals. Writing and using MATLAB scripts and function files
  • Intermediate MATLAB Concepts: Analyzing results and data interpolation. Working with probability and statistical data.
  • Advanced MATLAB Techniques: Introduction to Simulink and its applications. Signal analysis and processing.
  • Filter Design: Designing and implementing filter techniques for signal processing.
  • Communication Systems: Understanding and simulating communication systems in MATLAB.
  • Practical Project Application: Simulating a single-phase half-bridge project, including battery charge capacity and voltage conversion.
  • Machine Learning with MATLAB: Introduction to machine learning concepts and techniques. Using MATLAB for clustering, dimensionality reduction.

Who Should Attend

  • Students: Undergraduate and graduate students in engineering, computer science, and related fields who need to learn MATLAB for their coursework or research projects.
  • Professionals: Engineers, data analysts, and scientists looking to enhance their skill set with MATLAB for various applications in their respective fields.
  • Researchers: Researchers in academia or industry who require MATLAB for data analysis, simulations, or model development.
  • Beginners: Individuals new to programming or computational tools who are looking to start their journey with MATLAB.
  • Intermediate Learners: Those with some experience in programming or using other computational tools who want to advance their knowledge specifically in MATLAB.
  • Advanced Users: Experienced MATLAB users who want to deepen their understanding and explore advanced topics like Simulink, machine learning, and signal processing.
  • Educators: Teachers and instructors who use MATLAB in their curriculum and want a comprehensive resource to recommend to their students.
  • Hobbyists: Enthusiasts interested in using MATLAB for personal projects, learning, or experimenting with computational tools.
  • Project Managers: Project managers in technical fields who need to understand MATLAB capabilities for overseeing projects that involve data analysis, simulations, or machine learning.
  • Anyone Interested in Computational Tools: Anyone with a curiosity about MATLAB and its applications in various fields, from data analysis to engineering simulations and beyond.

Target Audiences

  • Students: Undergraduate and graduate students in engineering, computer science, and related fields who need to learn MATLAB for their coursework or research projects.
  • Professionals: Engineers, data analysts, and scientists looking to enhance their skill set with MATLAB for various applications in their respective fields.
  • Researchers: Researchers in academia or industry who require MATLAB for data analysis, simulations, or model development.
  • Beginners: Individuals new to programming or computational tools who are looking to start their journey with MATLAB.
  • Intermediate Learners: Those with some experience in programming or using other computational tools who want to advance their knowledge specifically in MATLAB.
  • Advanced Users: Experienced MATLAB users who want to deepen their understanding and explore advanced topics like Simulink, machine learning, and signal processing.
  • Educators: Teachers and instructors who use MATLAB in their curriculum and want a comprehensive resource to recommend to their students.
  • Hobbyists: Enthusiasts interested in using MATLAB for personal projects, learning, or experimenting with computational tools.
  • Project Managers: Project managers in technical fields who need to understand MATLAB capabilities for overseeing projects that involve data analysis, simulations, or machine learning.
  • Anyone Interested in Computational Tools: Anyone with a curiosity about MATLAB and its applications in various fields, from data analysis to engineering simulations and beyond.

Course Introduction:

This comprehensive course is designed to take you from a MATLAB novice to an advanced user proficient in machine learning techniques. Whether you are just starting or looking to deepen your understanding of MATLAB, this course will guide you through essential concepts, practical applications, and advanced topics. With hands-on projects and real-world examples, you’ll gain the skills needed to harness the power of MATLAB for a variety of applications.

What Will Students Learn in Your Course?

  • Basic to Advanced MATLAB Skills: Learn how to navigate MATLAB, perform basic operations, and create scripts and functions.

  • Graph Plotting and Visualization: Master the art of plotting graphs, labeling, and visualizing data effectively.

  • Mathematical Computations: Understand arrays, linear equations, polynomial equations, and control flow.

  • Intermediate MATLAB Concepts: Dive into data interpolation, probability, statistical data analysis, and symbolic equations.

  • Simulink and Signal Processing: Gain proficiency in using Simulink for modeling and analyzing signals and systems.

  • Machine Learning with MATLAB: Explore machine learning techniques, neural networks, and data clustering using MATLAB’s advanced toolboxes.

Section 1: MATLAB – Beginners

Begin your MATLAB journey by learning the basics, from understanding variables and creating vectors to plotting graphs and performing arithmetic operations. You’ll also delve into arrays, linear equations, polynomial equations, and control flow statements. By the end of this section, you’ll be comfortable with fundamental MATLAB operations and ready to tackle more complex tasks.

Section 2: MATLAB – Intermediate

Build on your foundational knowledge with intermediate topics such as result analysis, interpolation, and statistical data analysis. This section will enhance your ability to plot outcomes and work with symbolic equations, preparing you for more advanced applications of MATLAB.

Section 3: MATLAB – Advanced

Advance your skills with Simulink, signal analysis, and file systems. Learn about various filter techniques, communication systems, and differential equations. This section will equip you with the knowledge to handle complex projects and simulations using MATLAB.

Section 4: Project on MATLAB – Simulation of a Single-Phase Half Bridge

Apply your skills in a practical project that involves simulating a single-phase half bridge. You’ll work with battery charge capacity parameters, input and ground voltages, and inverters to understand the conversion of DC to AC voltage.

Section 5: Machine Learning with MATLAB

Discover the power of machine learning with MATLAB. Learn about machine learning techniques, neural network toolboxes, and data clustering. This section will provide you with practical knowledge on how to implement machine learning algorithms and apply them to real-world data.

Conclusion:

By the end of this course, you will have a thorough understanding of MATLAB, from basic operations to advanced machine learning techniques. You’ll be able to apply your knowledge to various projects and real-world applications, making you proficient in one of the most powerful tools for technical computing.

Course Curriculum

Chapter 1: MATLAB – Beginners

Lecture 1: Introduction to Matlab

Lecture 2: Matlab Variable

Lecture 3: Creating Vector Variable

Lecture 4: Print Hello Word in Matlab

Lecture 5: Difference Between Scalar, Vector and Matrices

Lecture 6: How to Plot a Graph in Matlab

Lecture 7: Understand Plotting and Labeling in Matlab

Lecture 8: Label, Title and Legend the Graph

Lecture 9: Array and Linear Equation

Lecture 10: Array Arithmetic Operation

Lecture 11: Solution Metrics

Lecture 12: Polynomial Equation

Lecture 13: Control Flow

Lecture 14: Control Flow Continues

Lecture 15: Use While Statement

Lecture 16: M Files

Lecture 17: Plot Cosine Function

Lecture 18: Function File

Chapter 2: MATLAB – Intermediate

Lecture 1: Analyzing Results

Lecture 2: Interpolation

Lecture 3: More on Interpolation

Lecture 4: Probability and Statistical Data

Lecture 5: Probability and Statistical Data Continues

Lecture 6: Plot the Outcome

Lecture 7: Symbolic Equation

Chapter 3: MATLAB – Advanced

Lecture 1: Introduction to Simulink

Lecture 2: Sine Wave and Scope

Lecture 3: Use some Gain and Saturation

Lecture 4: Gain Block

Lecture 5: Saturation Block

Lecture 6: File System

Lecture 7: File System Continues

Lecture 8: Creating New File

Lecture 9: Read from the File

Lecture 10: More Graph Plotting

Lecture 11: More Graph Plotting Continues

Lecture 12: Introduction to Signal Analysis

Lecture 13: Signal Analysis Continues

Lecture 14: FFT Example

Lecture 15: IFFT Convert Wave Form

Lecture 16: Signal Processing

Lecture 17: How Signal Represented in Matlab

Lecture 18: Various Filter Technique

Lecture 19: Designing Filter Technique Method

Lecture 20: Input Signal

Lecture 21: Communication System

Lecture 22: Communication System Continues

Lecture 23: More on Communication System Continues

Lecture 24: Differential Equation

Lecture 25: Differential Equation Continue

Lecture 26: Structure

Chapter 4: Project on MATLAB – Simulation of a Single-Phase Half Bridge

Lecture 1: Introduction to Project

Lecture 2: Battery Charge Capacity Parameter

Lecture 3: Input Voltage

Lecture 4: Ground Voltage

Lecture 5: Full Bridge Inverter

Lecture 6: DC Voltage to AC Voltage

Chapter 5: Machine Learning with MATLAB

Lecture 1: Introduction to Machine Learning with MATLAB

Lecture 2: Machine Learning Techniques

Lecture 3: Machine Learning Techniques Continues

Lecture 4: Machine Learning whit Matlab

Lecture 5: Motivation and Rotation of New Networks

Lecture 6: Neural Network Toolbox

Lecture 7: What is Matlab

Lecture 8: Array Creation Function

Lecture 9: Organizing and Processing Data

Lecture 10: Concept of Dimensionality Reduction

Lecture 11: Method of Multidemsional Scaling

Lecture 12: Clustering Of Data in MATLAB

Lecture 13: Piratical Representation of Clustering

Lecture 14: MATLAB Implementation

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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