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Courses of the Academic Year 2021-2022

Lecturer Title Duration Period
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

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