The course will cover the topics related to the management of Large Combustion Plants, LCP, and their interaction with the environment. Fuel properties and associated risks are presented, with a focus on the Utilities network monitoring. Combustion process and its environmental impact will be investigated and the Best Available Technology to reduce pollutant emissions in LCP will be analyzed on the base of the 2016 European IPCC BrEF Document. LCP pollutant monitoring and control strategies will be presented.

Basic concepts on technologies for modern electronic embedded systems. Introduction to sensor devices and sensing methods. Embedded electronic sensing systems for Internet of Things (IoT) and for distributed monitoring. Basic concepts of radio transceivers. Distributed wireless sensing networks for environmental monitoring. Application examples.

The course is designed to provide the fundamental principles of seismic hazard and risk mitigation. Basic concepts of seismology, earthquakes, and strong ground motion will be firstly presented to introduce procedures of deterministic and probabilistic seismic hazard analysis. Subsequently, methods for ground response analysis will be discussed in order to provide insight into problems as site effects and seismic slope stability. The course will end presenting procedures and systems for seismic monitoring and earthquake early warning.

The course presents a set of mathematical models and methods for solving decision problems with a particular reference to natural risk and emergency management. The purpose of this course is to provide the students with competences in using a set of models for problem solving. In particular, the course mainly considers optimization problems faced by mathematical programming techniques and problems on graph and networks.