CENG 4384 Uncertainty and Risk in Engineering

This course covers the fundamental principles of data reduction and acceptable risk, random variables, probability distributions, uncertainty modelling, Monte Carlo simulations, and hypothesis testing. Students will also study some of the case histories (e.g. New Orleans after Hurricane Katrina) in order to learn from failures in engineering practice and understand the importance of turning disaster into knowledge.