Numerical Methods in MATLAB for Engineering Students Part 1
The Essentials of Root Finding and Numerical Integration in MATLAB
Ratings 4.75 / 5.00
What You Will 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
Description
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
Who Should Attend!
- This course is intended for engineering students wanting to learn numerical methods in MATLAB
