The Advanced Machine Learning for Physics course takes place in the Signals and systems laboratory, first floor Marconi bld.
All other courses take place in room 8 in the Fermi bld. of the Physics Department
Further details: start date and weekdays on which the courses take place are available in the attached document.
Advanced Quantum Information – 3 cfu
Marco Barbieri - marco.barbieri@uniroma3.it
Fabio Sciarrino – fabio.sciarrino@uniroma1.it
Statistical Field Theory - 3/6 cfu
Andrea Cavagna - andrea.cavagna@roma1.infn.it
Stochastic thermodynamics - 3 cfu
Andrea Puglisi - andrea.puglisi@roma1.infn.it
Multimessenger Astrophysics – 3 cfu
Irene Di Palma - irene.dipalma@uniroma1.it
Large-N QCD - 3/6 cfu
Marco Bochicchio – marco.bochicchio@roma1.infn.it
Probabilistic Inference and Forecasting in the Sciences - 6 cfu
Giulio D'Agostini - giulio.dagostini@uniroma1.it
Andrea Messina - andrea.messina@uniroma1.it
From ergodicity breaking to algorithmic phase transitions - 3/6 cfu –
Maria Chiara Angelini - mariachiara.angelini@uniroma1.it
Giacomo Gradenigo - giacomo.gradenigo@gssi.it
Interaction of Electromagnetic Radiation with Matter, Photoelectron Spectroscopy and Absorption – 3/6 cfu
Carlo Mariani - carlo.mariani@uniroma1.it
Alessandro Ruocco - alessandro.ruocco@uniroma3.it
Francesco Offi - francesco.offi@uniroma3.it
Applications of group theory to condensed matter physics - 3 cfu
Paolo Barone - paolo.barone@spin.cnr.it
The physics of neutron production, detection and key applications – 3 cfu
Antonino Pietropaolo - antonino.pietropaolo@enea.it
Advanced Machine Learning for Physics - 3/6 cfu
Andrea Ciardiello - andrea.ciardiello@uniroma1.it
Stefano Giagu – stefano.giagu@uniroma1.it
Introduction to Effective Field Theories and Applications to Flavour Physics - 3 cfu
Luca Silvestrini - luca.silvestrini@roma1.infn.it
Mauro Valli - mauro.valli@roma1.infn.it
Advanced Course on the Standard Model - 3 cfu
Marco Bonvini – marco.bonvini@uniroma1.it
Giuseppe Degrassi - giuseppe.degrassi@uniroma3.it
Vittorio Lubicz - vittorio.lubicz@uniroma3.it
Monte Carlo for high energy physics - 3 cfu
Emanuele Bagnaschi - emanuele.angelo.bagnaschi@lnf.infn.it