Getting started with MATLAB
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Getting started with MATLAB

The ultimate introduction to Matlab for (absolute) beginners!
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
7 students enrolled
Created by Dr. Oksana Zhebel
Last updated 4/2017
English
Curiosity Sale
Current price: $10 Original price: $45 Discount: 78% off
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Includes:
  • 1.5 hours on-demand video
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Programming in Matlab
  • Perform vector/matrix operations
  • Solve mathematical problems in Matlab
  • Perform simple statistical analysis
  • Create data plots
  • Write first Matlab codes
View Curriculum
Requirements
  • You need to install Matlab on your computer to follow the course by reproducing the codes we are discussing during the course and by solving the exercises. Most universities offer a free software version of Matlab, please ask your university if such a license is available. You could also get a trial version of Matlab at the official Matlab website.
  • Basic knowledge in Mathematics
  • The will to learn Matlab
Description

This course is designed to help you get started working with Matlab. Following topics are going to be covered:

  • User interface of Matlab: what are the different windows for?
  • How to perform arithmetic and relational operations
  • How to use the command “help”
  • Assigning numerical values to variables
  • Creating and manipulating vectors/ arrays
  • Creating and manipulating matrices
  • Plotting 2D graphs to visualize your data
  • How to import data from a text- or Excel-file
  • Performing basic statistical analysis of your data


Who is the target audience?
  • Students
  • Engineers
  • Researches
  • Scientists
  • Enterpreneurs
  • Everyone, who is interested in learning Matlab
  • For (absolute) beginners in Matlab
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Curriculum For This Course
32 Lectures
01:14:31
+
Introduction to Matlab Interface
1 Lecture 04:16
+
Arithmetic and relational operators
3 Lectures 06:52
+
Help and clear functions
2 Lectures 03:32
Clear functions
01:35

Help function
01:57
+
Trigonometric, exponential functions and rounding
2 Lectures 04:51
Trigonometric functions
01:54

Exponential function and rounding
02:57
+
How to assign variables in Matlab
1 Lecture 03:38
Assigning variables
03:38
+
Vectors and matrices
11 Lectures 24:47
Creating a vector
04:46

Indexing of vectors
01:23

Arithmetic operations with vectors
02:44

Creating a matrix
04:01

Mathematical operations with matrices
01:37

How to determine the size of a vector or a matrix
01:51

Identity matrix
01:08

Random matrix
00:49

Other useful matrices
02:08

Indexing of matrices
02:06

In this video you are going to learn how to compute the rank, trace, eigenvalues, determinant and an inverse of a matrix.

Linear algebra calculations with matrices
02:14
+
Editor and m-files
4 Lectures 07:56
Editor window
02:07

M-file
01:50

Names of m-files
01:07

Adding comments
02:52
+
Plotting in 2D with Matlab
4 Lectures 10:42
Plotting a cos(x) function
03:32

Labeling the plot
02:06

Plotting 2 functions on the same figure
02:21

How to save the plots
02:43
+
Importing data from an ASCII or Excel-file
2 Lectures 03:28
Data import from an ASCII file
02:00

Data import from an Excel file
01:28
+
Basics of statistical analysis with Matlab
2 Lectures 04:29
Statistical computation
02:15

Plotting a boxplot and a histogram
02:14
About the Instructor
Dr. Oksana Zhebel
4.5 Average rating
11 Reviews
124 Students
5 Courses
University lecturer, researcher and enterpreneur

Hello everyone, my name is Oksana Zhebel. I am a natural scientist by background. I hold a PhD in Geophyisics. I have been teaching Mathematics, Physics, Matlab etc. at different Universities in Germany since more than 10 years. I enjoy sharing my knowledge and learning from my students. Like Socrates said: "The more I learn the more I learn how little I know."