Course Websites

CEE 598 ONL - Uncertainty Quantification

Last offered Summer 2018

Official Description

Subject offerings of new and developing areas of knowledge in civil and environmental engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Section Description

Restricted to online non-degree, online MCS, online MSAE, online MSME, and online MSCE students. Non-Degree students may enroll on a space-available basis with consent of Program Coordinator, Meg Griffin (mgriffn@illinois.edu).

Related Faculty

Course Description

This course introduces students to relevant paradigms, mathematical foundations and numerical techniques in Uncertainty Quantification (UQ) which is a research area of growing importance. The surveyed numerical techniques include Monte Carlo methods, Polynomial Chaos Expansion, Bayesian inference, and surrogate-based computation. The course will cover forward predictive analysis, model calibration, validation, and also model selection under uncertainties. Examples will be drawn from general PDEs, ODEs, as well as real-world examples in science and engineering applications.

Credit Hours

4 hours

Prerequisites

Undergraduate degree and background knowledge and experience in probability theory and statistics (at a 400 level), numerical methods, and good programming skills.

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Uncertainty QuantificationONL39732ONL4 -    Hadi Meidani