Stochastic Processes
A.Y. 2026/2027
Learning objectives
The course will teach the methods of non-equilibrium statistical mechanics, like Markov chains, stochastic equations, Moyal expansion,
Fokker-Planck equation, Mori-Zwanzig dimensional reduction.
Fokker-Planck equation, Mori-Zwanzig dimensional reduction.
Expected learning outcomes
The student will know the theory and the methods of non-equilibrium statistical mechanics, which lie at the basis of physical modelling
of kinetic phenomena and of several tools of data analysis.
of kinetic phenomena and of several tools of data analysis.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Lesson period
Second semester
PHYS-02/A - Theoretical Physics of Fundamental Interactions, Models, Mathematical Methods and Applications - University credits: 2
PHYS-03/A - Experimental Physics of Matter and Applications - University credits: 2
PHYS-04/A - Theoretical Physics of Matter, Models, Mathematical Methods and Applications - University credits: 2
PHYS-03/A - Experimental Physics of Matter and Applications - University credits: 2
PHYS-04/A - Theoretical Physics of Matter, Models, Mathematical Methods and Applications - University credits: 2
Lessons: 42 hours
Professor:
Tiana Guido
Professor(s)