This course introduces modern models and methods of uncertainty quantification through their applications to engineering problems. The course consists of four components: (i) probabilistic models, (ii) forward uncertainty quantification, (iii) sensitivity analysis, and (iv) inverse uncertainty quantification. Students will use computer codes to apply the concepts learned to homework problems and a term project. A basic knowledge of probability theory is required, but a brief review of fundamental concepts will be offered at the beginning of the course.

Repeat Rules

Course is not repeatable for credit.