Data Analytics, Forward and Inverse Modeling: Geophysical and Environmental Fluid Dynamics

To provide the students with a basic knowledge on some of the modeling methods used in geophysical and environmental problems. The main focus will be on providing the students with knowledge and skills for application of statistics and the theory of stochastic processes (including some techniques of data mining), for the numerical solution of partial differential equations (finite differences/finite volumes, finite elements/spectral methods), for the spectral analysis of geophysical data sets, and for model calibration via solution of inverse problems.

The student will be able
1. to read and understand scientific papers and books which the themes treated during the lectures;
2. to read and evaluate technical reports for practical applications of geophysical techniques;
3. to deal with problems related to process phenomena (mass, energy, momentum, etc.) with a critical view.