The activity in mathematical analysis is mainly focussed on ordinary and partial differential equations, on dynamical systems, on the calculus of variations, and on control theory. Connections of these topics with differential geometry are also developed.The activity in mathematical modelling is oriented to subjects for which the main technical tools come from mathematical analysis. The present themes are multiscale analysis, mechanics of materials, micromagnetics, modelling of biological systems, and problems related to control theory.The applications of mathematics developed in this course are related to the numerical analysis of partial differential equations and of control problems. This activity is organized in collaboration with MathLab for the study of problems coming from the real world, from industrial applications, and from complex systems.

## Topics in mathematical epidemiology

In this course, we revisit the classical compartmental models of mathematical epidemiology and present some of their recent advances. The topics can be organized into three main modules. In the first module, we trace the history of epidemiological models starting from the pioneering work of Bernoulli (1766) up to the well-known Susceptible-Infected-Removed (SIR) model by Kermack and McKendrick (1927) and its subsequent variants. We study in detail the SIR-like models by using tools from stability theory and bifurcation theory of dynamical systems.

## Numerical Solution of PDEs Using the Finite Element Method

Advanced course dedicated to the Numerical Solution of Partial Differential Equations through the deal.II Finite Element Library.

Topics:

## Optimal Transport

The course intends to be a broad introduction to Optimal Transport theory and some of its applications in geometry and analysis.

## Periodic Orbits of Hamiltonian systems through Variational Methods

Hamiltonian systems give a very good description of those physical phenomena where the energy is (approximately) conserved: from planetary orbits to the motion of particles.

Typically, however, the dynamics is highly sensitive to the initial conditions and therefore it is difficult to find specific orbits in the systems such as those connecting two subsets of phase space or those which are periodic.

## Regularity in geometric variational problems

Program:

- Quick review of the theory of sets of finite perimeter.
- Partial regularity theory for the omega-minimizers of the perimeter:
- the epsilon-regularity theorem,
- the regularity of Lambda-minimizers and application to the prescribed mean curvature problem.
- Sketch of the proof of the full regularity in lower dimensions.

## Some aspects of mean curvature flow

The aim of this course is to show some connections between the asymptotic behaviour of the parabolic scalar Ginzburg-Landauequations (also called Allen-Cahn equations) and mean curvature flow of a hypersurface. We shall discuss also theasymptotic behaviour of the stationary points of these equations and some connections with minimalsurfaces and prescribed mean curvature surfaces.**Contents of the lectures.**

## Geometric Control Theory

"Geometric Control Theory” by Ugo Boscain (CNRS, LJLL, Sorbonne Université, and INRIA), Paris)

## Models and applications in Computational Fluid Mechanics

The course refers to the use of computational fluid dynamics techniques to address advanced applications in environmental, cardiovascular and industrial contexts. Each topic will be corroborated by a set of numerical examples to be performed within the open source C++ finite volume library OpenFOAM.