Cours
AR-402(y): Studio MA2 (Huang)
Cours associés (120)
AR-401(at): Studio MA1 (Gardelegui et Widmer)
À travers une analyse cartographique des démolitions planifiées et des initiatives de densification dans la région de Genève, les étudiants remettront en question le statu quo en découvrant le potenti
EE-556: Mathematics of data: from theory to computation
This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees
CS-430: Intelligent agents
Software agents are widely used to control physical, economic and financial processes. The course presents practical methods for implementing software agents and multi-agent systems, supported by prog
AR-301(a): Studio BA5 (Viganò)
The Studio explores the evolution of Parisian landscapes facing climate change. Through a deep reading of Paris to identify the various issues linked to the socio-ecological transition and its landsca
AR-667: Rythmologies. Sociétés et territoires à l'épreuve
Le séminaire international a pour vocation d'explorer la notion de « rythme » comme grille de lecture des mondes contemporains, mode de représentation et de transformation actif par la pratique voire
CIVIL-309: Urban Thermodynamics
The course analyzes urban neighborhoods from a thermodynamics perspective, focusing on heat exchange among buildings, vegetation, water, ground, environment, and people. Agroup project highlights the
CIVIL-459: Deep learning for autonomous vehicles
Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects,
AR-485: Political economy of design
Political Economy of Design (PED) seeks to position and discuss architecture in relation to the world of production, economic interests and community benefits or decisions, at a local and global scale
EE-559: Deep learning
This course explores how to design reliable discriminative and generative neural networks, the ethics of data acquisition and model deployment, as well as modern multi-modal models.
AR-202(g): Studio BA4 (Rey)
Par une approche à différentes échelles d'intervention - du projet urbain au détail constructif - l'atelier viser à explorer les stratégies architecturales permettant de régénérer les territoires urba