Risk Analysis is a course that aims to provide students with skills in risk and resilience analysis methods of systems, structures or infrastructure exposed to natural and non-natural hazards such as floods, accidental pollution, earthquakes, landslides, etc.
It is part of the Master's Degree in "Civil Engineering for Protection against Natural Hazards", which aims to train civil engineers capable of solving complex problems related to new or unfamiliar issues embedded in broad (including interdisciplinary) contexts related to structural and water engineering.
The course aims to teach the concepts of hazard, vulnerability, fragility, risk and resilience, the theoretical formulation and the probabilistic approach to risk analysis. Upon completion of the course, students will be able to (i) apply the methods of probabilistic risk analysis, (ii) critically evaluate the results, including their use in making decisions about prevention, mitigation and adaptation measures, and (iii) communicate the results effectively.
It is part of the Master's Degree in "Civil Engineering for Protection against Natural Hazards", which aims to train civil engineers capable of solving complex problems related to new or unfamiliar issues embedded in broad (including interdisciplinary) contexts related to structural and water engineering.
The course aims to teach the concepts of hazard, vulnerability, fragility, risk and resilience, the theoretical formulation and the probabilistic approach to risk analysis. Upon completion of the course, students will be able to (i) apply the methods of probabilistic risk analysis, (ii) critically evaluate the results, including their use in making decisions about prevention, mitigation and adaptation measures, and (iii) communicate the results effectively.
Curriculum
teacher profile teaching materials
Risk assessment and management: probabilistic methods of risk quantification, risk matrices, risk analysis as a tool to support land use planning and management.
Vulnerability analysis: natural hazard simulation models, techniques for identifying and characterizing natural hazards (Monte Carlo simulation), hazard maps, techniques for characterizing the response of systems, structures and infrastructure to natural stresses (fragility curves).
Lectures will be supported by examples related to risk and resilience analysis of civil systems, structures and infrastructure exposed to natural hazards, and by exercises.
Pinto, P.E., Giannini, R., and Franchin, P., 2004 - Seismic reliability. IUSS Press.
Mays, L.W., and Tung, T.-K., 1992 - Hydrosystems - McGrow-Hill
Zio, E., 2012 - Monte Carlo Simulation. Springer
Programme
Qualitative and quantitative definitions of hazard, vulnerability, fragility, risk and resilience.Risk assessment and management: probabilistic methods of risk quantification, risk matrices, risk analysis as a tool to support land use planning and management.
Vulnerability analysis: natural hazard simulation models, techniques for identifying and characterizing natural hazards (Monte Carlo simulation), hazard maps, techniques for characterizing the response of systems, structures and infrastructure to natural stresses (fragility curves).
Lectures will be supported by examples related to risk and resilience analysis of civil systems, structures and infrastructure exposed to natural hazards, and by exercises.
Core Documentation
Kottegoda, N. T., and Rosso, R., 2nd Edition, 2008. Applied statistics for civil and environmental engineers. BlackwellPinto, P.E., Giannini, R., and Franchin, P., 2004 - Seismic reliability. IUSS Press.
Mays, L.W., and Tung, T.-K., 1992 - Hydrosystems - McGrow-Hill
Zio, E., 2012 - Monte Carlo Simulation. Springer
Attendance
Attendance is not mandatory but strongly recommended.Type of evaluation
Exam: The test consists of an oral interview covering the practical exercises and the theory. The exercises are designed to assess students' understanding of the concepts and their ability to apply them in real-world contexts. Exam assessment: The final grade will take into account the following elements: - The level and quality of knowledge of the topics - The ability to analyse a topic critically - The logic of the arguments in support of a thesis - The ability to apply theories and concepts to contexts - The use of vocabulary appropriate to the discipline being studied teacher profile teaching materials
Risk assessment and management: probabilistic methods of risk quantification, risk matrices, risk analysis as a tool to support land use planning and management.
Vulnerability analysis: natural hazard simulation models, techniques for identifying and characterizing natural hazards (Monte Carlo simulation), hazard maps, techniques for characterizing the response of systems, structures and infrastructure to natural stresses (fragility curves).
Lectures will be supported by examples related to risk and resilience analysis of civil systems, structures and infrastructure exposed to natural hazards, and by exercises.
Pinto, P.E., Giannini, R., and Franchin, P., 2004 - Seismic reliability. IUSS Press.
Mays, L.W., and Tung, T.-K., 1992 - Hydrosystems - McGrow-Hill
Zio, E., 2012 - Monte Carlo Simulation. Springer
Programme
Qualitative and quantitative definitions of hazard, vulnerability, fragility, risk and resilience.Risk assessment and management: probabilistic methods of risk quantification, risk matrices, risk analysis as a tool to support land use planning and management.
Vulnerability analysis: natural hazard simulation models, techniques for identifying and characterizing natural hazards (Monte Carlo simulation), hazard maps, techniques for characterizing the response of systems, structures and infrastructure to natural stresses (fragility curves).
Lectures will be supported by examples related to risk and resilience analysis of civil systems, structures and infrastructure exposed to natural hazards, and by exercises.
Core Documentation
Kottegoda, N. T., and Rosso, R., 2nd Edition, 2008. Applied statistics for civil and environmental engineers. BlackwellPinto, P.E., Giannini, R., and Franchin, P., 2004 - Seismic reliability. IUSS Press.
Mays, L.W., and Tung, T.-K., 1992 - Hydrosystems - McGrow-Hill
Zio, E., 2012 - Monte Carlo Simulation. Springer
Attendance
Attendance is not mandatory but strongly recommended.Type of evaluation
Exam: The test consists of an oral interview covering the practical exercises and the theory. The exercises are designed to assess students' understanding of the concepts and their ability to apply them in real-world contexts. Exam assessment: The final grade will take into account the following elements: - The level and quality of knowledge of the topics - The ability to analyse a topic critically - The logic of the arguments in support of a thesis - The ability to apply theories and concepts to contexts - The use of vocabulary appropriate to the discipline being studied