Statistical Modelling of Hazards and Risks (IRDR0026)

Key information

Faculty: Faculty of Mathematical and Physical Sciences
Teaching department: Institute for Risk and Disaster Reduction
Credit value: 15

Restrictions: N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

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

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study: In person
Methods of assessment: 40% Exam

60% Coursework
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 8
Module leader: Professor Fatemeh Jalayer
Who to contact for more information: irdr-education@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

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