MATH-731(2): Topics in geometric analysis IIThe goal of this course is to introduce the student to the basic notion of analysis on metric (measure) spaces, quasiconformal mappings, potential theory on metric spaces, etc. The subjects covered wi
HUM-369: Digital humanitiesLes Digital Humanities sont une discipline à la croisée des sciences de l'information et des sciences humaines et sociales. Dans ce cours, les étudiantes et étudiants découvrent ce domaine de recherch
PHYS-101(g): General physics : mechanicsLe but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de pr
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
PHYS-101(h): General physics : mechanics (SV I)Le but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de pr
AR-302(ai): Studio BA6 (Shahbazi)The studio of Shirana Shahbazi asks how we can imagine, reflect and depict the intangible qualities of the city and spaces. It is an attempt to shift the centre of attention and rethink value. We will
AR-402(ai): Studio MA2 (Shahbazi)The studio of Shirana Shahbazi asks how we can imagine, reflect and depict the intangible qualities of the city and spaces. It is an attempt to shift the centre of attention and rethink value. We will
PENS-221: Making the campus of tomorrowThe EPFL-UNIL campus is today at the heart of an intense institutional reflection on its future. The ENAC week aims to carry out specific operational proposals for the campus starting from a reflectio
MGT-492: Data science and machine learning IThis class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks,