Udemy – MATLAB for the Absolute Beginner [100% off] Worth $99!

Posted on 22/08/2015 by | 0 comments

Course Description

If you want to learn how to use MATLAB, but have little to no experience, this course is for you! If you have some MATLAB experience, and want to learn more, this course may be for you too! Sign up now by click the enroll button. The price of $99 is only good for the first 2 weeks the course is live, so make sure not to delay. Remember, if you aren’t 100% satisfied with the course, you have 30 days to get a 100% refund. No questions asked.

In this course, you will learn:

Chapter 1: First Look

The video introduces the learner to the MATLAB desktop environment. At the end of this video, the learner will be able to identify and use

  • Command Window
  • Workspace
  • Command History
  • Current Folder
  • Home tab

The learner will be able to create variables and perform simple mathematical operations on them.

Chapter 2: Introduction to matrices

This chapter is divided into 9 parts

  • Part 1: This session demonstrates
    • how to create matrices
    • how to find its dimensions
    • how to take the transpose of a matrix
  • Part 2: The session demonstrates the use of indices to access a section of the matrix
  • Part 3: The session demonstrates the addition and subtraction of matrices
  • Part 4: This session demonstrates the multiplication operation on matrices
  • Part 5, 6: These sessions demonstrate the use of matrices is solving a numerical problem
  • Part 5: Example I
  • Part 6: Example II
  • Part 7,8,9:These sessions introduce the learner to black-and-white, gray-scale and colored images on MATLAB

Chapter 3: Working with arrays

This chapter is divided into 4 parts

  • Part 1: This session introduces the learner to arrays on MATLAB, and some basic mathematical operations
  • Part 2: This session takes an example of a quadratic expression, and how arrays can be used to evaluate it over a range of values
  • Part 3: This session discusses how to generate a sequence of numbers on MATLAB
  • Part 4: This session demonstrates common statistical computations on arrays like mean, median et cetera

Chapter 4: Make an animation

This chapter is divided into 7 parts.

  • Part 1: This session introduces the learner to the Editor Window on MATLAB
  • Part 2-7: These sessions develop the animation of a rotating fan step by step
    • Part 2: Step 1
    • Part 3: Step 2
    • Part 4: Step 3
    • Part 5: Step 4
    • Part 6: Step 5
    • Part 7: Step 6

Chapter 5: Three dimensional plots

This chapter is divided into 2 parts

  • Part 1: This session discusses three dimensional line plots
  • Part 2: This session discusses three dimensional surface plots

Chapter 6: Working with Data

This chapter has been divided into 8 parts.

  • Part 1: This session is a recapitulation of the common statistical operations of mean, median et cetera
  • Part 2: This session demonstrates how to make a simple bar graph/chart
  • Part 3: This session demonstrates how to make a bar graph/chart with multiple bars grouped together
  • Part 4: This session demonstrates how to make a pie chart
  • Part 5: This session takes a line plot and adds title and labels to it, to enhance readability.
  • Part 6: This session adds labels and enhances the readability of a pie chart.
  • Part 7, 8: These sessions demonstrate how to create a function with looping and conditional statements
    • Part 7: Example 1
    • Part 8: Example 2

Chapter 7: Working with Tables

This chapter has been divided into 2 parts.

  • Part 1: This session introduces the user to structures, demonstrates how to create tables using structures, and discusses an application where multiple tables are joined together
  • Part 2: This session reads a file, convert the data into table and perform some operations on them

Chapter 8: Introduction to Simulink

This chapter has been divided into 7 parts

  • Part 1: This shows how to open Simulink
  • Part 2: This session demonstrates how to make a simple model on Simulink
  • Part 3: This session demonstrates some common sources.
  • Part 4: This session demonstrates blocks related to common mathematical operations.
  • Part 5: This session demonstrates how Simulink can be used to model digital logic circuits.
  • Part 6: This session demonstrates how to make a sub-module/subsystem/sub-circuit on Simulink
  • Part 7: This session demonstrates how to make Simulink models for differential equations

Chapter 9: Simple Graphical User Interfaces

This chapter is divided into 5 parts.

  • Part 1: This session demonstrates the input function in MATLAB
  • Part 2-5: This session demonstrates simple GUIs on MATLAB
    • Part 2: GUI 1
    • Part 3: GUI 2
    • Part 4: GUI 3
    • Part 5: GUI 4

Chapter 10: Miscellaneous / Bonus Lectures

This chapter aims to give the learner ideas to create codes and block diagrams and thus practice MATLAB. This chapter has been divided into 10 parts

  • Part 1: This session introduces the user to the Symbolic Math Toolbox
  • Part 2: This session demonstrates how the functions in the Symbolic Math toolbox can be used to solve a numerical problem
  • Part 3: This session demonstrates how to use Symbolic Math Toolbox to work with Laplace transforms and then moves to the Control System Toolbox.
  • Part 4: This session is just the viewing of a paper from which Control System codes and block diagrams can be made.
  • Part 5,6: These sessions introduce some basic functions in the Image Processing Toolbox.
  • Part 5: Histogram Equalization
  • Part 6: Gray-scale conversion, Morphological operations, et cetera
  • Part 7: This session takes an example and demonstrates recursive functions on MATLAB
  • Part 8: This session is just the viewing of a paper from which Simulink models relevant to Digital Signal Processing can be made.
  • Part 9: This session is just the viewing of a document on sequences and progressions, which can be used to create iterative and recursive functions on MATLAB.
  • Part 10: This session shows a Graphical User Interface which the learner can try to create using concepts on image processing.

 

 

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