Alessandro Favero

alessandro.favero@epfl.ch +41 21 693 98 00 https://alesfav.github.io/

EPFL SB IPHYS PCSL
BSP 512 (Cubotron UNIL)
Rte de la Sorge
CH-1015 Lausanne

+41 21 693 98 00
Office:  BSP 512
EPFL > SB > IPHYS > PCSL

Web site:  Web site:  https://pcsl.epfl.ch/

EPFL STI IEM LTS4
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne

+41 21 693 98 00
Office:  ELD 241
EPFL > STI > IEM > LTS4

Web site:  Web site:  https://lts4www.epfl.ch/

EPFL > ETU > EDOC > EDPY

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Administrative data

Teaching & PhD

Teaching

Machine learning for physicists

Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised.

Statistical physics II

Introduction to the theory of phase transitions and of critical phenomena.