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Mastering MATLAB for Beginners to Advanced
Rating: 4.1 out of 5(6 ratings)
639 students

Mastering MATLAB for Beginners to Advanced

Unlock the full potential of MATLAB, from fundamental concepts to advanced machine learning techniques!
Created byEDUCBA Bridging the Gap
Last updated 6/2024
English

What you'll 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.

Course content

5 sections • 71 lectures • 9h 24m total length

  • Introduction to Matlab10:50
  • Matlab Variable8:23
  • Creating Vector Variable8:23
  • Print Hello Word in Matlab5:33
  • Difference Between Scalar, Vector and Matrices7:29
  • How to Plot a Graph in Matlab4:53
  • Understand Plotting and Labeling in Matlab8:21
  • Label, Title and Legend the Graph12:10

    Learn to plot MATLAB graphs with axis labels, titles, and color-coded markers, using sine waves and true versus noise waveforms, and distinguish them with legends.

  • Array and Linear Equation10:48
  • Array Arithmetic Operation10:11
  • Solution Metrics9:23
  • Polynomial Equation8:50
  • Control Flow12:11
  • Control Flow Continues8:08
  • Use While Statement8:58
  • M Files8:25
  • Plot Cosine Function8:59
  • Function File10:07

Requirements

  • Basic Computer Skills: Familiarity with basic operations and software navigation on a computer.
  • Mathematical Background: Understanding of basic algebra and calculus concepts.
  • Programming Experience: Basic knowledge of any programming language is beneficial but not mandatory.
  • Software Installation: Ability to download and install software, specifically MATLAB and Simulink.

Description

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.

Who this course is for:

  • 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.

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