Fundamentals of uncertainty, risk, reliability and decision making in civil engineering applications. Probability theory and its applications to quantitative uncertainty analysis and risk assessment; conditional and total probability, Bayes' theorem, discrete and continuous random variables, Poisson process models. Advanced topics including extreme value distributions, joint probability distributions, Monte Carlo simulation, and decision making under uncertainty. Engineering risk and reliability analysis in various Civil Engineering problems and natural and man-made disasters.
This course may not be repeated for credit.

Sections

This course will be offered next in Winter 2025.