Fundamentals of uncertainty, risk, reliability and decision making in Civil Engineering applications. Probability as a measure of uncertainty based on frequency data, least presumptive methods and use of odds; Bayes' Theorem; known probability distributions and how they apply to civil engineering problems. Advanced topics including applications of extreme value distributions, joint probability distributions and stochastic optimization. Risk as a function of both probability and disutility. Risk analysis through Bayesian Decision Theory.
This course may not be repeated for credit.
Sections
| LEC 1 | MWF 09:00 - 09:50
| | Saeid Saidi | | |
| Notes: Prerequisite(s): ENCI 471 and ENGG 319( Please see Calendar Description for more information) |
| TUT 1 | M 11:00 - 11:50
| | Saeid Saidi | | |
This course will be offered next in
Winter 2021.