MATLAB coding skills: Algortihms and example MATLAB codes are reviewed to enhance knowledge of MATLAB and the numerical techniques
Requirements
Coding: You should know MATLAB basics like matrices, looping, if statements, plotting
Math requirements: Calculus
MATLAB should be installed on your computer in order to run the provided MATLAB files
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 nstrate 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 MethodNewtons Method (also known as Newton-Raphson)Secant MethodMATLAB coding of all methodsNumerical Integration:Rectangle MethodMidpoint MethodTrapezoidal MethodSimpson's MethodMATLAB coding of all methodsDownloadable resources that come with the course:Outline of notes with all example problem statementsMATLAB codes needed to run all the examples
Overview
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