PhD courses (to fulfill the 12 mandatory CFUs)

Each student must choose the courses among those listed below. The  lessons schedule will be available after the preliminary meeting of each course.
2019/2020 program lessons

VIRTUAL AULA G SCHEDULE

ASTROPHYSICS AREA (BERTIN)

- Advanced topics in astrophysics and plasma physics-Collective phenomena in plasma physics (2 CFU-10 hours, Romé) NOT ACTIVATED
- Advanced topics in astrophysics and plasma physics-Fundamentals of computational fluid dynamics in astrophysics (2 CFU-10 hours, Lodato)
- Advanced topics in astrophysics and plasma physics-Cosmology (2 CFU-10 hours, Maino) NOT ACTIVATED
- Advanced topics in astrophysics and plasma physics-Observations of the CMB (2 CFU-10 hours,Bersanelli) Lessons Schedule
- Advanced topics in astrophysics and plasma physics-Large scale structure formation (2 CFU-10 hours, Guzzo)
- Advanced topics in astrophysics and plasma physics-Gravitational lensing (2 CFU-10 hours, Grillo)
- Advanced topics in astrophysics and plasma physics-Bayesian statistics in astronomy (2 CFU-10 hours, Lombardi) Lessons schedule

NUCLEAR AND SUBNUCLEAR AREA (ANDREAZZA)

- Advanced topics in particle physics (4 CFU-20 hours, Andreazza, Turra, Serafini) Lessons schedule
- Neutrino physics (2 CFU-10 hours, Vissani) Lessons schedule
- Nuclear structure theory: Density functional methods in nuclear physics (2 CFU-10 hours, Colò) NOT ACTIVATED
- Nuclear structure studied with stable and radioactive beams (2 CFU-10 hours, Leoni) NOT ACTIVATED
- Theoretical models for heavy ion reactions around the Coulomb barrier (2 CFU-10 hours, Vitturi) NOT ACTIVATED
- Experimental study of transfer and fusion reactions (2 CFU-10 hours, Scarlassara) NOT ACTIVATED

MATTER PHYSICS AREA (CASTELLI)

- Quantum coherent phenomena (6 CFU-30 hours, Castelli, Genoni, Benedetti) Lessons schedule
- Quantum theory of matter (6 CFU-30 hours, Onida , Manini, Parola) NOT ACTIVATED

THEORETICAL PHYSICS AREA (FERRERA)

- Computational, simulation and machine learning methods in high energy physics and beyond: Automated computational tools (3 CFU-15 hours, Maltoni, Zaro) Lessons schedule
- Computational, simulation and machine learning methods in high energy physics and beyond: Monte Carlo Methods (3 CFU-15 hours, Nason) Lessons schedule

APPLIED PHYSICS AREA (VAILATI)

- Experimental methods for the investigation of systems at the nanoscale (6 CFU-30 hours, Vailati, Paroli, Giavazzi, Zanchetta, Buscaglia, Piseri, Podestà, Cialdi, Lascialfari, Lenardi, Carpineti) Lessons schedule

 

PhD seminars (out of mandatory CFUs)

The seminars schedule will be attached when available.

- Computational, simulation and machine methods in high energy physics and beyond: Machine Learning (3 CFU-15 hours, S.Carrazza) Seminars schedule
An introduction to machine learning techniques including model representation, parameter learning, non-linear models, hyperparameter tune, and an overview of modern deep learning strategies. The seminars will cover the theoretical and mathematical aspects of machine learning followed by practical examples of code implementation using public frameworks.