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CEE 598 UQ - Uncertainy Quantification

Spring 2020

Uncertainy QuantificationCEE598UQ46698LCD41230 - 1350 T R  3310 Newmark Civil Engineering Bldg Hadi Meidani

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

4 HOURS Section UQ: Uncertainty Quantification Uncertainty Quantification 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, Polynomiial 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. Prerequisite: Background knowledge and experience in probability theory and statistics (at a 400 level), numerical methods, and good programming skills.