Numerical Methods for the STEM Undergraduate
You can view the above document as a pdf file as well.
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After the rigorous and comprehensive development and assessment of the NSF-funded innovative open courseware on Numerical Methods since 2002, we are offering a FREE Massive Open Online Course (MOOC) in Numerical Methods – Part 2 of 2 at https://learn.canvas.net/courses/1189
This part of the MOOC covers the mathematical procedures of interpolation, regression, integration and ordinary differential equations.
The Part 1 of 2 of the course is also available and is at https://learn.canvas.net/courses/1065
Start your journey today whether you are learning numerical methods for the first time or just need a refresher. Unlike other MOOCs, you have a lifetime (mine) access to the course and you can pace yourself. Ask questions within the course and we will keep the conversation going!
About: Numerical methods are techniques to approximate mathematical procedures (an example of a mathematical procedure is an integral). Approximations are needed because we either cannot solve the procedure analytically (an example is the standard normal cumulative distribution function) or because the analytical method is intractable (an example is solving a set of a thousand simultaneous linear equations for a thousand unknowns).
Materials Included: Textbook Chapters, Video Lectures, Quizzes, Solutions to Quizzes
How Long to Complete: About 20 hours of lectures need to be watched and estimated time to read the textbook and do quizzes is 40 hours. It is a typical 7-week semester length course.
Course Structure: For each section, you have video lectures, followed by a textbook chapter, a quiz and its complete solution, and automatically graded online quizzes.
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