XL cycle

Educational offer

CORSO
Advanced Computational Physics (3CFU)
Advanced Crystallography: theory and experiments
Advanced Statistics for Data Analysis (3CFU)
Applied Cryogenics (3CFU)
Astrophysical Experimental Methods (3CFU)
Atomic force spectoscopy (3CFU)
Atomistic simulations with machine learning based interatomic potentials (1.5 CFU)
Biosensing (3CFU)
Conformal field theories (3CFU)
Design of superconductor magnets (3CFU)
Energetics in the quantum regime (3 CFU)
Gravitational waves (3 CFU)
Introduction to AdS/CFT and its applications (3 CFU)
Introduction to foundations of quantum mechanics and applications (3 CFU)
Introduction to quantum many-body systems (3CFU)
Machine learning methods for physics (3 CFU)
Microscopic and Spectroscopic Techniques for the Analysis of Surfaces and Interfaces (3 CFU)
Non-abelian gauge theories (3 CFU)
Optical microscopy at the nanoscale (3 CFU)
QCD and collider physics (3 CFU)
Quantum optics (3 CFU)
Statistics of parametric models (3 CFU)
Technology of wires, tapes and superconducting cables (3CFU)
The double trouble of the missing matter in the universe (3CFU)
COURSES ABOUT SOFT SKILLS OFFERED BY UNIGE

Students

Matteo Anselmi
Lucia Barigione
Rojin Bayati
NicolÒ Massa
Andrea Milici
Moreno Monticelli
Gabriele Neri
Lorenzo Piana
Francesco Lorenzo Polleri
Giorgia Rossi
Mattia Piero Rossi
Fabrizio Salerno
Mattia Sotgia
Aiman Zahid

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