Udemy

Numerical Methods in MATLAB for Engineering Students Part 1

$ 13.00
apenas este curso
Descrição do Curso

Numerical Methods (also known as Numerical Analysis) is required in many Engineering degree programs.  This course will focus on the  root finding and numerical integration techniques most frequently covered at the undergraduate level.

MATLAB is widely used in undergraduate engineering programs as well as in industry.  Because of this, MATLAB is used in this course to demonstrate how to successfully code each of the methods presented.  In addition, it should be noted that this course can be used to enhance your coding skills.

You will learn the theory behind the techniques as well as the coding aspects.  We will work examples by hand and then follow those with MATLAB examples.

This course covers the following topics:

Root Finding:

  • Bisection Method

Newtons Method (also known as Newton-Raphson)

  • Secant Method

MATLAB coding of all methods

Numerical Integration:

  • Rectangle Method

Midpoint Method

  • Trapezoidal Method

Simpson's Method

  • MATLAB* coding of all methods

Downloadable resources that come with the course:

  • Outline of notes with all example problem statements

MATLAB codes needed to run all the examples

Detalhes do Curso
en
en
Cherish Qualls, PhD
Rítmo flexível
Iniciante
4 horas
Udemy

Numerical Methods in MATLAB for Engineering Students Part 1

$ 13.00
apenas este curso
Detalhes do Curso
en
en
Cherish Qualls, PhD
Rítmo flexível
Iniciante
4 horas
Descrição do Curso

Numerical Methods (also known as Numerical Analysis) is required in many Engineering degree programs.  This course will focus on the  root finding and numerical integration techniques most frequently covered at the undergraduate level.

MATLAB is widely used in undergraduate engineering programs as well as in industry.  Because of this, MATLAB is used in this course to demonstrate how to successfully code each of the methods presented.  In addition, it should be noted that this course can be used to enhance your coding skills.

You will learn the theory behind the techniques as well as the coding aspects.  We will work examples by hand and then follow those with MATLAB examples.

This course covers the following topics:

Root Finding:

  • Bisection Method

Newtons Method (also known as Newton-Raphson)

  • Secant Method

MATLAB coding of all methods

Numerical Integration:

  • Rectangle Method

Midpoint Method

  • Trapezoidal Method

Simpson's Method

  • MATLAB* coding of all methods

Downloadable resources that come with the course:

  • Outline of notes with all example problem statements

MATLAB codes needed to run all the examples

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