CS-526: Learning theoryMachine learning and data analysis are becoming increasingly central in many sciences and applications. This course concentrates on the theoretical underpinnings of machine learning.
AR-480: UE X : Experience designExperience Design examines the effects of digitalization on architectural typologies in the contemporary city. The course questions traditional typologies by focusing on an understanding and re-design
PHYS-512: Statistical physics of computationThe 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 m
MATH-101(c): Analysis IÉtudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles d'une variable.
MATH-251(c): Numerical analysisLe cours présente des méthodes numériques pour la résolution de problèmes mathématiques comme des systèmes d'équations linéaires ou non linéaires, approximation de fonctions, intégration et dérivation
AR-302(af): Studio BA6 (Tsuneyama)Urban Wild Ecology / Production and Decomposition Urbanism / SOIL studio focuses on earth-conscious construction methods and materials that return to the soil. A radical vision will be sought to incor
AR-402(af): Studio MA2 (Tsuneyama)Urban Wild Ecology / Production and Decomposition Urbanism / SOIL studio focuses on earth-conscious construction methods and materials that return to the soil. A radical vision will be sought to incor
AR-301(af): Studio BA5 (Tsuneyama)Urban Wild Ecology / Production and Decomposition Urbanism / FOOD studio examines urban collective housing integrating a self-sustaining cycle of food, from production to disposal. A highly contextual
AR-401(af): Studio MA1 (Tsuneyama)Urban Wild Ecology / Production and Decomposition Urbanism / FOOD studio examines urban collective housing integrating a self-sustaining cycle of food, from production to disposal. A highly contextual
MATH-425: Spatial statisticsIn this course we will focus on stochastic approaches for modelling phenomena taking place in multivariate spaces. Our main focus will be on random field models and on statistical methods for model-ba
