CE 193 - Engineering Risk Analysis (Fall 2021)
This course introduces the basic notions and methods of probability theory, statistics and decision theory through their application to civil engineering problems. The objective is to make the student aware of the many uncertainties that inﬂuence engineering decisions, and to provide tools for their modeling and analysis in the context of engineering risk assessment. We will start from the very beginning, but go quite far. No prior background in probability or statistics is needed if you are a graduate student. Emphasis is placed on probabilistic modeling and analysis of civil and environmental engineering problems, Bayesian statistics, risk analysis, and decision under uncertainty. For undergraduate students, this course builds on CE93 and provides a solid base in applied probability and Bayesian statistics as used by engineers, and introduces them to the important topics of risk analysis and decision making. For graduate students, in addition, this course provides a strong background for pursuing more advanced courses using non-deterministic methods, such as CE226, CE229, CE262, ME274, NE275 and many others.
CE 229 - Structural and System Reliability (Spring 2022)
To offer a comprehensive and in-depth coverage of modern methods for structural and system reliability assessment, analysis of uncertainty propagation, component/variable importance measures, and Bayesian inference for reliability analysis. Students will use computer codes to apply the concepts learned to example problems and a term project. Students completing this course will be able to read and understand the large and rapidly growing literature in the field of structural and system reliability and risk analysis. They will also understand the techniques employed in various reliability analysis codes. Methods discussed in this course have broad applicability and can be used in many disciplines where probabilistic analysis is needed.