Università Roma Tre

The objective of the course of Ocean Dynamics-A (General Theory) is the knowledge of atmospheric and marine/oceanic flows at a meso- and large-scale and with and without stratification. The course aims at developing the skills needed for the development of suitable schemes and mathematical models simulating the dynamics of the oceans. In addition, the course aims at improving the knowledge of the numerical and experimental models used to simulate such flows. The course aims at defining conceptual models with different complexity levels for the simulations of atmospheric and marine/oceanic flows.
At the end of the course, the students will be able to: understand the complex dynamics of atmospheric and marine/oceanic flows occurring at different spatial scales with and without stratification; select the suitable models for the simulation of the different flows; understand and use the data obtained by laboratory and /or numerical experiments simulating stratified flows.

Numerical and statistical methods for Civil Engineering aims at providing students with fundamental knowledge on numerical and statistical methods for civil engineering problems, and at developing the competences required for designing and coding simple numerical and statistical models, also to learn how apply high level softwares for engineering analysis. The course aims at providing in depth knowledge of 1) a technical/scientific programming language; 2) main numerical methods for the solution of ordinary and partial differential equations; 3) descriptive and inferential statistics. Students shall be able of: 1) using a technical/scientific programming language to develop numerical models and to carry out statistical analyses; 2) designing, developing, validating and applying algorithms for the integration of ordinary and partial differential equations of interest for the civil engineering field; 3) carrying out statistical analysis on large datasets; 4) designing and carrying out statistical analyses; 5) finding and understanding scientific publications for specific problems of interest, also using scientific search engines/databases (Scopus, Web Of Science)