Introduction to Numerical Methods - Part 2 of 2

Numerical Methods: Part 2 of 2

WELCOME TO NUMERICAL METHODS - PART 2 of 2

Welcome to the Part 2 of 2 of the Numerical Methods course.  In this Part 2 of this two-part course in numerical methods, you will

  1. Apply the numerical methods for the following mathematical procedures and topics - Interpolation, Regression, Integration and Ordinary Differential Equations.
  2. Calculate errors and their relationship to the accuracy of the numerical solutions throughout the course. 

WHERE IS PART 1 of 2 OF THIS COURSE?

The Part 1 of 2 of Numerical Methods course is here. That course covers applying numerical methods for the following mathematical procedures and topics: differentiation, nonlinear equations, and simultaneous linear equation. 

WHAT IS NUMERICAL METHODS ABOUT?

 

WHERE TO BEGIN

This is a self-paced course and hence the pace is up to you.  The recommended schedule is two to three modules per week.  It is advisable to start from the beginning. Simply click here on Modules or in the left menu and you are ready to go.  Each module has a textbook chapter, several short digital audiovisual lectures, a multiple-choice test with complete solutions, and then two to three quizzes with 3 questions each for the final assessment.  You can jump to any module without having finished the previous modules.  To get started, please visit the course orientation page.

LICENSE

Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License Links to an external site..QuesCreative Commons Licensetions, suggestions or comments, contact me conveniently via web Links to an external site.

 ACKNOWLEDGEMENTS

This material is based upon work supported by the National Science Foundation under Grant# 0126793 Links to an external site., 0341468 Links to an external site., 0717624 Links to an external site., 0836981 Links to an external site., Links to an external site. 0836916 Links to an external site., 0836805 Links to an external site..  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  The material is based on a work at the open courseware site at Holistic Numerical Methods Links to an external site..  Thanks to canvas.net for hosting the MOOC.

CC Attribution Non-Commercial No Derivatives This course content is offered under a CC Attribution Non-Commercial No Derivatives Links to an external site. license. Content in this course can be considered under this license unless otherwise noted.