- After rigorous and comprehensive development and assessment of
the NSF-funded innovative open
courseware on Numerical Methods since
2002, Professor Kaw is offering a two-part Massive Open Online
Course (MOOC) in Numerical Methods.
Part 1 of the course
covers introduction to scientific computing, and numerical
methods for differentiation, nonlinear equations and
simultaneous linear equations.
Part 2 of the course
covers the numerical methods for interpolation, regression,
integration and ordinary differential equations.
The MOOCs were previously on UDEMY
but were migrated to CANVAS as the latter has a familiar
user-friendly interface, a familiar look for many students using
CANVAS LMS, and above all has the capability of online quizzes
that are algorithmic.
Start your journey today whether you
are learning numerical methods for the first time or are
currently taking a course in one or just need a refresher.
Unlike other MOOCs, you have a free and lifetime access to the
course and you can pace yourself. Ask questions within the
course and we will keep the conversation going!
methods are techniques to approximate mathematical procedures
(example of a mathematical procedure is an integral).
Approximations are needed because we either cannot solve the
procedure analytically (example is the standard normal
cumulative distribution function) or because the analytical
method is intractable (example is solving a set of a thousand
simultaneous linear equations for a thousand unknowns).
Textbook Chapters, Video Lectures, Quizzes, Solutions to
Quizzes, Online Quizzes
How Long to Complete:
For each part, about 20 hours of lectures need to be watched.
Estimated time to read textbook and do quizzes is 40 hours.
Each part is a typical 7-week semester length course.
Course Structure: For
each topic, you have video lectures, followed by a textbook
chapter, a quiz and its complete solution, and automatically
graded online quizzes.
This material is based upon work
supported by the National Science Foundation under
Grants#1609637, 1322586, 0836981, 0717624, 0341468, 0126793.
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
To learn more about the MOOCs,
University of South Florida
4202 E Fowler Ave,
Numerical Methods: Part 1 of 2
Numerical Methods: Part 2 of 2