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Numerical Methods in MATLAB for Engineering Students Part 1

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  • 711 Students
  • Updated 12/2019
  • Certificate Available
4.7
(69 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 55 Minute(s)
Language
English
Taught by
Cherish Qualls, PhD
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.7
(69 Ratings)
1 views

Course Overview

Numerical Methods in MATLAB for Engineering Students Part 1

The Essentials of Root Finding and Numerical Integration in MATLAB

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


Course Content

  • 2 section(s)
  • 21 lecture(s)
  • Section 1 Root Finding Methods
  • Section 2 Numerical Integration

What You’ll Learn

  • Root finding techniques: Bisection Method, Newton's Method, Secant Method, Numerical integration techniques: Rectangle & Midpoint Methods, Trapezoidal & Simpsons Methods, MATLAB coding skills: Algortihms and example MATLAB codes are reviewed to enhance knowledge of MATLAB and the numerical techniques

Skills covered in this course


Reviews

  • A
    Aditya Musaddi
    5.0

    This instructor is so good in teaching. Maam please release more courses like these on MATLAB

  • K
    Killua Zoldyck
    5.0

    Great Lesson and teaching approach! Highly recommended!

  • S
    Sameer Pallavkar
    5.0

    An excellent coverage of numerical method topics.

  • M
    Mitali Gupta
    4.5

    Well explained. Its is very nice to slowly understand the concepts in a easy and well explained manner. The teacher is really very good.

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