MATH 476 - Numerical Methods and Analysis I

Description:
This course offers an engaging introduction to numerical methods and analysis. Topics include error propagation in mathematical algorithms, data approximation, numerical differentiation and integration. Course work requires programming experience.

Prerequisites:
Prerequisites: MATH 260 and MATH 265 and MATH 299S with a grade of C or higher, or consent of instructor.

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Describe, present and analyze numerical methods for a specific data set, and justify their conclusions.
Construct and analyze computational approximations for different data sets using interpolation and other polynomial approximations.
Estimate numerical derivatives and numerical integrals for a given dataset.
Predict and analyze the error propagation that results from mathematical algorithms.
Evaluate other numerical approximation methods.

Learner Outcomes Approval Date:
2/05/16

Anticipated Course Offering Terms and Locations: