Data Analytics, Forward and Inverse Modeling: Geophysical and Environmental Fluid Dynamics
A.Y. 2024/2025
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.
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.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Lesson period
Second semester
GEO/12 - OCEANOGRAPHY AND PHYSICS OF THE ATMOSPHERE - University credits: 6
Practicals with elements of theory: 24 hours
Lessons: 32 hours
Lessons: 32 hours