|
Luca Heltai, Gianluigi Rozza |
Applied Mathematics: an Introduction to Scientific Computing by Numerical Analysis |
55 h |
October - January |
|
Giovanni Noselli |
Topics in Continuum Mechanics |
60 h |
October-February |
|
Stefano Luzzatto |
Introduction to Smooth Ergodic Theory |
20 h |
November - December |
|
Davide Guzzetti |
ODEs in Complex Domain and Isomonodromy Deformations |
40 h |
October-December (maybe till January) |
|
Stefano Bianchini |
Some topics in measure theory |
60 h |
October-January |
|
Barbara Fantechi |
Algebraic Geometry |
60 h |
October-February |
|
Rafael Greenblatt |
Introduction to the constructive renormalization group for Fermionic theories |
20 h |
October-November |
|
Andrew Paul Kels |
Discrete Integrable Systems |
20 h |
October-December |
|
Sandro Zagatti |
Advanced Analysis - A |
50 h |
October - January |
|
Roberto Trotta as lead, plus guest lecturers |
Ethics in ML and AI |
20 h |
All year |
|
Roberto Trotta |
Monographic: Bayesian inference and machine learning in cosmology |
20 h |
Third term |
|
Sebastian Goldt |
Monographic: Current topics in the theory of neural networks: Dynamics and Data |
20 h |
Third term |
|
Guido Sanguinetti |
Monographic: Machine learning in high-throughput biology |
20 h |
Third term |
|
Nicoletta Krachmalnicoff |
Introduction to Statistical Modelling and Inference |
24 h |
First term |
|
Roberto Trotta |
Bayesian Inference II |
36 h |
Second term |
|
Jean Barbier |
Information Theory, Spin Glasses and Inference |
36 h |
Second term |
|
Guido Sanguinetti |
Bayesian Inference I |
36 h |
First term |
|
Alessandro Laio, Alex Rodriguez |
Unsupervised Learning and Non-parametric Methods |
38 h |
First term |
|
Sebastian Goldt , Alessandro Treves, Antonio Celani |
Neural Networks |
36 h |
Second term |
|
Alessandro Treves, Carlo Baccigalupi, Stefano de Gironcoli, Mathew Diamond, Antonio Celani |
Applications of Data Science to Natural Sciences |
18 h |
first and second terms |
