Teaching

This page contains some material that was prepared for various lectures or tutorials.

Introduction to Digital Contact Tracing

The course is designed for BSc students with no particular math background, and it gives an introduction to the mathematical principles underlying a digital contact tracing procedure. The main topics are the foundations and principles of the mathematical modeling of the spread of an infectious disease and its containment with an isolation and tracing policy. The slides are in Italian.
Slides
With Giulia Cencetti

Pytorch Geometric Tutorial

This series of video tutorials gives an introduction to Geometric Deep Learning, especially focusing on the implementation with the Pytorch geometric library. In the webpage of the tutorials you can find info to join the weekly sessions and links to the notebooks.
Webpage Slides Videos
With Antonio Longa Gianni Pellegrini

Advanced PyG Tutorial

In this second session on PyTorch Geometric, we focus on some advanced tool and implementation aspect. In the webpage of the tutorials you can find info to join the weekly sessions and links to the notebooks.
Webpage Slides Videos
With Antonio Longa Gianni Pellegrini

Approximation with Kernel Methods

The course is designed for MSc students with a strong math background, and it deals with the theory and implementation of various kernel methods for approximation. The main topics are: Introduction to kernel methods, Connection to the corresponding function spaces and general theory, Approximation of scattered data (Greedy procedures, Regression), Pattern recognition (Classification, Support Vector Machines), Numerical approximation of PDEs by collocation.
Lecture notes