Fabrizio Boncoraglio
EPFL SB IPHYS SPOC1
BSP 531 (Cubotron UNIL)
Rte de la Sorge
1015 Lausanne
+41 21 693 02 68
Office:
BSP 531
EPFL › SB › IPHYS › SPOC1
Website: https://www.epfl.ch/labs/spoc/
+41 21 693 02 68
EPFL › IC › IINFCOM › SPOC2
Teaching & PhD
Courses
Data sciences
PHYS-231
This course introduces tools for data analysis in physics: numerical linear algebra, regression, dimensionality reduction, probability, statistics, uncertainty quantification, random walks, Monte Carlo methods and phase transitions, with Python exercises.
Machine learning for physicists
PHYS-467
Machine learning and data analysis are central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised.
Statistical physics of computation
PHYS-512
The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning.