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
CS-401: Applied data analysisThis course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the dat
PHYS-467: Machine learning for physicistsMachine 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 practi
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 ?
MATH-467: Probabilistic methods in combinatoricsThe 'probabilistic method' is a fundamental tool in combinatorics. The basic idea is as follows: to prove that an object (for example, graph) with certain properties exists, it suffices to prove that
HUM-381: Colour psychologyThe media frequently report on how color influences one's emotions and well-being. We teach students basic skills to critically understand and interpret these claims analyzing empirical studies in aff
CH-443: Photochemistry IIFollowing "Photochemistry I", this course introduces the current theoretical models regarding the dynamics of electron transfer. It focuses then on photoredox processes at the surface of solids. Curre
CS-233(a): Introduction to machine learning (BA3)Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analy
