National track

The National path of the Master Program is entirely based at Politecnico di Torino, and is organized in four semesters.

There is no a priori limitation on the number of admitted students.

Course plan for students enrolling in the academic year 2023/2024:

First Year
Semester 1 Advanced Quantum Mechanics and Quantum Statistics [ENG] (8 ECTS - V. Penna & F. Dolcini) Stochastic simulation methods in physics [ENG] (8 ECTS - A. Pagnani) Fluidodinamica [ITA] (8 ECTS - L. Ridolfi) Option 1: One course to be chosen among: Statistical learning and neural networks [ENG] (6 ECTS - E. Magli) Materials and characterization for micro and nanotechnologies [ENG] (6 ECTS - F. Giorgis) Finite Element Modelling [ENG] (6 ECTS - S. Falletta) Modelli statistici [ITA] (6 ECTS - M. Gasparini)	Semester 2 (in common with the International path) Statistical Physics and Biophysics (45.86 kB) [ENG] (12 ECTS - A. Pelizzola) Algorithms for optimization, inference and learning (35.09 kB) [ENG] (8 ECTS - A. Braunstein) Quantum theory of Consensed Matter (41.86 kB) [ENG] (10 ECTS - L.F. Tocchio, R.C. Iotti) Option 2: Advanced Experimental Physics (34.35 kB) [ENG] (6 ECTS - R. Gonnelli)

Second Year
Semester 1 Field Theory and Critical Phenomena [ENG] (6 ECTS - L.Dall'Asta) Out of Equilibrium Physics [ENG] (6 ECTS - F.Dolcini) Inference in Biological Systems [ENG] (6 ECTS - A.Gamba, C.Bosia) Optimal Control and Game Theory [ENG] (6 ECTS - L.Dall'Asta, G.Como) One course to be chosen among: Optimization for Machine Learning [ENG] (6 ECTS - G.Calafiore) Modelli di sistemi fisiologici [ITA] (6 ECTS - L.Mesin, C.Giverso and L.Preziosi) Dinamiche su Network [ITA] (6 ECTS - F.Fagnani)	Semester 2 Master Thesis (30 ECTS)