Description
This module is focused on the study and modelling of hazards and risk through application of the probability theory and statistics. Students will learn how to choose and characterize probability distributions (e.g., Poisson, Gamma, Normal, Lognormal, extreme value distributions) based on available data and information and how to evaluate the goodness of fit.
You will learn about the different properties associated with the distributions studied and how to analyse the data to extract predictive probability distributions and their statistics. Applications will be in a variety of topics ranging from natural and anthropogenic hazards (e.g., earthquakes, tsunamis, floods, debris flow, induced seismicity) and risks (e.g., modelling of losses and consequences) using the appropriate programming tools. Through studying examples of applications, you will gain insight into the advantages and limitations of different distribution choices in hazard and risk modelling in specific circumstances and implications for treatment of uncertainties.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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