#3 Matlab scientific coding for engineers, studentsscience

#3 Matlab scientific coding for engineers, students&science, available at $49.99, has an average rating of 4.92, with 40 lectures, based on 6 reviews, and has 74 subscribers.

You will learn about You will know how to use Matlab more efficiently! This course is ideal for individuals who are This course fits best for students in engineering, STEM and business as well as engineers and scientists It is particularly useful for This course fits best for students in engineering, STEM and business as well as engineers and scientists.

Enroll now: #3 Matlab scientific coding for engineers, students&science

Summary

Title: #3 Matlab scientific coding for engineers, students&science

Price: $49.99

Average Rating: 4.92

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

You will know how to use Matlab more efficiently!

Who Should Attend

This course fits best for students in engineering, STEM and business as well as engineers and scientists

Target Audiences

This course fits best for students in engineering, STEM and business as well as engineers and scientists

This is an upper-intermediate Matlab course for engineering and STEM-students, scientist and professionals in these areas. Its’ main goal is to help you become more confident with scientific coding / programming using Matlab and thus, mire efficient and competitive, as Matlab has become one of the most important  programming environments in science.  This Matlab course consists of short on-point videos with easy to follow explanations. You will also find examples with solutions presented for each topic.

This course was created to help you broaden your Matlab knowledge. The following topics will be covered including examples with detailed explanations:

– advanced matrix operations in Matlab  (e.g. sorting matrices, resizing matrices, concatenating matrices, finding intersections between matrices etc.)

– creating and handling cell arrays in Matlab

– creating and handling structure arrays in Matlab

– for and while loops: differences,when it’s better to use which loop

– difference between functions and scripts in Matlab

– Taylor series expansion with Matlab

– Fourier transformations with Matlab

– calculating limits

– calculating cumulative sums

– calculating variances etc.

This course will help you to gain and improve your skills in solving challenging mathematical problems in differ ways with the help of Matlab. At the same time you will get to know new useful functions, revise the known functions and get more confident with the syntax in Matlab.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Matlab introduction: important programming features

Chapter 2: Matrices: advanced functions

Lecture 1: zeros ones diag

Lecture 2: Working with diagonal elements

Lecture 3: Resizing the matrix

Lecture 4: Flipping the matrix

Lecture 5: Triangular matrices

Lecture 6: Replicating the matrix

Lecture 7: Concatenation

Lecture 8: Finding the right elements

Lecture 9: Mean value using conditions

Lecture 10: Sorting matrix elements

Lecture 11: Finding indices of matrix elements

Lecture 12: Intersection of matrices

Lecture 13: Difference between the matrices

Chapter 3: Cell arrays

Lecture 1: Introduction

Lecture 2: Useful commands

Lecture 3: Example: company list

Chapter 4: Structure arrays

Lecture 1: Introduction

Lecture 2: Solution to the Exercise: Grades

Chapter 5: Symbolic variables: limits, Taylor series etc.

Lecture 1: Limits

Lecture 2: Taylor series

Lecture 3: Sum and product

Lecture 4: Cumulative sum

Chapter 6: Loops: for and while + Scripts vs. Functions in Matlab

Lecture 1: Introduction

Lecture 2: Exercises: loops

Lecture 3: Solution to the Exercise 1: loops

Lecture 4: Solution to the Exercise 2: loops

Lecture 5: Fibonacci numbers part 1

Lecture 6: Fibonacci numbers part 2

Lecture 7: Fibonacci numbers: script vs. function

Chapter 7: Exercises: Variance and Lorenz curve

Lecture 1: Exercise: Variance

Lecture 2: Solution to the Exercise: Variance

Lecture 3: Exercise: Lorenz Curve

Lecture 4: Exercise: Lorenz Curve Plot

Chapter 8: Fourier series and transformations

Lecture 1: Introduction

Lecture 2: Exercise: Fourier sound sample

Lecture 3: Fourier transformations with Matlab: introduction

Chapter 9: Newtons methods: exercises

Lecture 1: Newtons method part 1

Lecture 2: Newtons method part 2

Lecture 3: Newtonss method for square roots

Instructors

Oksana Zhebel, PhD
Founder of Courseatic, enterpreneur, lecturer

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4 stars: 1 votes

5 stars: 5 votes

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!