Course in Advanced Quantitative Risk & Resilience Assessment – Ed.2

The course presents advanced methodologies for the quantitative assessment of the risk and resilience of industrial systems, in two main phases. The first covers Monte Carlo simulation and uncertainty and sensitivity analysis; the second introduces Bayesian networks, applied artificial intelligence and evolutionary models. The topics include predictive maintenance, asset management and operational safety in industrial systems exposed to disruptive events, with the aim of integrating theory and application. The Monte Carlo method makes it possible to estimate the probability of rare events by simulating numerous possible conditions, while Bayesian networks make it possible to update assessments on the basis of new information, both essential tools for risk management.

Teaching comprises 24 hours, divided into two teaching phases, one classical and one innovative, and is held in person in Milan, in English. Practical sessions in MATLAB are planned, which make it possible to apply the methods presented to realistic examples. The course is an advanced training course and is not a university master. The page does not specify the assessment methods, any internship, the credits, the price, the deadlines or the start date. Good command of technical English is required to follow the lessons profitably. The combination of traditional approaches and more recent methods makes it possible to compare the strengths and limits of the different techniques and to choose the most suitable one for the problem at hand, whether an infrastructure network, an industrial plant or a system exposed to seismic risk. The practical sessions with MATLAB help turn concepts into calculation procedures, and the choice of teaching in English facilitates the participation of professionals and researchers from international contexts.

The aim is to train professionals able to integrate theory and application in the assessment of risk and resilience. Related professions include risk analyst, quantitative risk analyst, risk manager, seismic risk management expert and researcher in seismic engineering. The course is aimed at risk analysts, resilience engineers, technical designers and safety managers, with a technical-operational background, who wish to acquire advanced quantitative tools to assess and improve the reliability and resilience of plants, infrastructure and complex systems. The skills acquired can be used in the management of infrastructure, industrial plants and utility networks, where the ability to predict and limit the effects of extreme events is increasingly important.