SIE - Master

A number of natural and artificial systems can be considered as intrinsically distributed and consisting of nodes presenting a certain degree of intelligence. Typical examples of distributed intelligent systems include social insect colonies, flocks of vertebrates, multi-agent systems, transportation systems, multi-robot systems, and wireless sensor networks. The goals of this course are two-fold: first, to provide students with a sufficient mathematical and computational background to analyze distributed intelligent systems
through appropriate models, and second, to illustrate several coordination strategies and show how to concretely implement and optimize them. The course is a well-balanced mixture of theory and laboratory exercises using simulation and real hardware platforms.

“Science of climate change” equips students with a comprehensive scientific understanding of climate change covering a wide range of topics from physical principles, historical climate change, greenhouse gas emissions, the IPCC assessment, to future scenarios and climate action. The course is structured such that students from a variety of backgrounds (e.g., economics, engineering, natural sciences) can participate.

This course introduces "Occupational Health" focusing on the field of Occupational Hygiene which is the science of detecting, evaluating and controlling occupational hazards. This domain is closely related to the general environment endagered by the same hazards but at a lower level.