Introduces the basics of risk analysis and management in civil engineering, covering uncertainties, model creation, stability analysis, and probability calculations.
Covers risk and uncertainty in environmental projects, focusing on cost-benefit analysis and the concept of certainty equivalent for risk-averse individuals.
Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.
Covers Markov Chain Monte Carlo for sampling high-dimensional distributions, discussing challenges, advantages, and applications like the Knapsack Problem and cryptography.
