COM-406: Foundations of Data ScienceWe discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas an
CH-310: Dynamics and kineticsThe course covers the principles of chemical kinetics, including differential rate laws, derivation of exact and approximate integral rate laws for common elementary and composite reactions, fundament
MATH-432: Probability theoryThe course is based on Durrett's text book
Probability: Theory and Examples.
It takes the measure theory approach to probability theory, wherein expectations are simply abstract integrals.
AR-401(z): Studio MA1 (Braghieri)L'atelier propose d'explorer le thème de la construction dans le territoire alpin, à la lumière des changements imposés par les transformations économiques et sociales qui s'opèrent ces dernières déce
DH-406: Machine learning for DHThis course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and imple
PHYS-423: Plasma IFollowing an introduction of the main plasma properties, the fundamental concepts of the fluid and kinetic theory of plasmas are introduced. Applications concerning laboratory, space, and astrophysica
HUM-226: Wellbeing and Planetary BoundariesL'objectif de ce cours est de donner une compréhension globale des enjeux de la durabilité et de ses implications. Que signifie "durabilité" ? Comment est-elle mesurée ? Comment l'atteindre ?