Teaching Teaching for the Academic Year 2023-2024 STOCHASTIC SIMULATION INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATIONS NUMERICAL ANALYSIS Teaching for the Academic Year 2022-2023 ADVANCED ANALYSIS II STOCHASTIC SIMULATION INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATION Teaching for the Academic Year 2021-2022 NUMERICAL ANALYSIS STOCHASTIC SIMULATION INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATIONS Teaching for the Academic Year 2020-2021 ADVANCED ANALYSIS II STOCHASTIC SIMULATION INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATIONS MATHEMATICAL FONDATIONS OF NEURAL NETWORKS Teaching for the Academic Year 2019-2020 STOCHASTIC SIMULATION INTRODUCTION TO PARTIAL DIFFERENTIAL EQUATIONS Teaching for the Academic Year 2018-2019 ADVANCED ANALYSIS II NUMERICAL APPROXIMATION OF PARTIAL DIFFERENTIAL EQUATIONS STOCHASTIC SIMULATION Summer schools / other courses Mathematical and Algorithmic Aspects of Uncertainty Quantification (PhD course, Mathematical Models and Methods in Engineering , Politecnico di Milano, June 3-10, 2015) Numerical techniques for PDEs with random input data, by F. Nobile & R. Tempone. CIMPA School “Current trends in Computational methods for PDEs”, IISc, Bangalore, India, July 8-19, 2013