PhD students may choose their courses from the University Catalog.

Courses organized by the PhD in Physics, Astrophysics and Applied Physics are listed below. The program for each course will be defined after a preliminary meeting.

Astrophysics area

– Advanced topics in astrophysics and plasma physics-Plasma physics for astrophysics (2 CFU-10 hours, M.Romé) Syllabus
– Advanced topics in astrophysics and plasma physics-Fundamentals of computational fluid dynamics in astrophysics (2 CFU-10 hours, G.Lodato) Syllabus
– Advanced topics in astrophysics and plasma physics-Cosmology (2 CFU-10 hours, D.Maino) Syllabus
– Advanced topics in astrophysics and plasma physics-Observations of the CMB (2 CFU-10 hours, M.Bersanelli) Syllabus
– Advanced topics in astrophysics and plasma physics-Fundamentals of cosmic structure formation (2 CFU-10 hours, L.Guzzo) Syllabus

Nuclear and subnuclear area

– Advanced topics in particle physics (4 CFU-20 hours, A.Andreazza, L.Serafini, R.Turra) Syllabus
– Neutrino physics (2 CFU-10 hours, F.Vissani) Syllabus
– Nuclear structure theory: Density functional methods in nuclear physics (2 CFU-10 hours, G.Colò) Syllabus
– Nuclear structure studied with stable and radioactive beams (2 CFU-10 hours, S.Leoni) Syllabus
– Introduction to ab initio nuclear theory (2 CFU-10 hours, C.Barbieri) Syllabus

Matter physics area

– Quantum coherent phenomena (6 CFU-30 hours, M.Genoni, A.Ferraro, A.Smirne, D.Tamascelli) Syllabus
– Quantum theory of matter (6 CFU-30 hours, N.Manini, S.Achilli, A.Parola, G.Onida) Syllabus
– HPC@Unimi: INDACO for molecules and solids (3 CFU-15 hours, G. Fratesi, R. Martinazzo, A.Alessi, M.Bensi) Syllabus

Theoretical physics area

– Computational, simulation and machine learning methods in high energy physics and beyond: Automated computational tools (3 CFU-15 hours, M.Zaro, O.Mattelaer) Syllabus
– Computational, simulation and machine learning methods in high energy physics and beyond: Monte Carlo methods (3 CFU-15 hours, S.Ferrario Ravasio) Syllabus
– Computational, simulation and machine methods in high energy physics and beyond: Machine learning (3 CFU-15 hours, S.Carrazza) Syllabus
– 4D and 3D theories with four supercharges: field theory, D-branes, holography and localization (7 CFU-35 hours, A.Amariti) Syllabus
– Python fundamentals (4 CFU-20 hours, M.Gherardi) Syllabus

Applied physics area

– Experimental methods for the investigation of systems at the nanoscale (6 CFU-30 hours, A.Vailati, M.Siano, F.Giavazzi, G.Zanchetta, M.Buscaglia, P.Piseri, A.Podestà, S.Cialdi, P.Arosio, C.Lenardi, M.Carpineti) Syllabus
– Instruments and methods for a cultural understanding of physics (6 CFU-30 hours, M.Giliberti, M.Bonizzoni, L.Lovisetti) Syllabus