SOLID EARTH GEOPHYSICS (a.a. 2022/23)

Formation of stars and planets (a.a. 2022/23)

Geological environments and structures (a.a 2022/23)

Physics of the hydrosphere and the cryosphere (a.a 2022/23)

Data analytics, forward and inverse modeling: geophysical and environmental fluid dynamics (a.a. 2022/23)

Learning objectives
Provide the students with a basic knowledge of modelling techniques widely used in geophysics and for environmental studies. Specific focus will be given to applications of the theory of stochastic processes, also in the framework of data-mining techniques, to the numerical solution of partial derivative equations, to spectral analysis, to model calibration.
Expected learning outcomes
1. Ability of critical comprehension of scientific papers and books for an enhanced knowledge of the topics presented during the lectures;
2. Ability of critical analysis of technical reports which include results of simulation models or of data analysis in environmental and geophysical field;
3. Skill in the set up of a deterministic or stochastic modeling workflow to simulate phenomena relevant in environmental and geophysical field.