Risk Engineering

Risk Engineering

This site provides e-learning courseware and training materials (slides, lecture notes, problem sets, Python notebooks…) on risk engineering, loss prevention and safety management. The course material is targeted at a Master’s level, for students with a technical background in an engineering or scientific discipline. It will also be useful to safety professionals interested in developing their understanding and skills in specific areas.

Risk engineering is the application of engineering skills and methodologies to the management of risk. It involves hazard identification, risk analysis, risk evaluation and risk treatment. Application domains concerned by the concepts covered include health and safety in the oil and gas sector (onshore and offshore), nuclear energy, chemicals manufacturing, civil aviation, railways, civil engineering and critical infrastructure management. Study in this area can lead to a range of careers in risk engineering.

  • Statistical modelling of risk
    The statistical modelling (or “data science”) submodule describes how to determine quantile measures of various risk metrics
  • Copulas for dependency modelling
    Learn how to use a copula to capture the dependency between two random variables in the Value at risk and copula methods submodule
  • Value at Risk
    Copula functions allow you to run a Monte Carlo simulation that respects dependencies between your input variables.
  • Safe design
    The design for safety submodule describes principles and methods for system safety (inherent safety, defence in depth…)
  • Consequence assessment
    Learn about the various types of hazards present in industrial facilities (flammable, explosion, toxic hazards) in the Consequence assessment submodule.

The course materials are all free and reusable, being distributed under a Creative Commons Attribution-Sharealike licence.

Course contents    Related concepts