MATH 9040 - Cmptr Exprmnts Uncrtnty Quant

Institution:

Clemson University

Subject:

Mathematical Sciences

Description:

Introduces classic and recent methodological developments in experimental design, statistical modeling, and uncertainty quantification of computer experiments. Response surface analysis, Gaussian process modeling, Bayesian optimization, space-filling designs, sensitivity analysis, and statistical calibration are covered. Students are expected to have completed a graduate-level course in linear regression before enrolling in this course.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.clemson.edu

Phone Number:

(864) 656-4636

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.