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-302(ae): Studio BA6 (Pantazis et Rentzou)In the center of Athens, the presence of water has been completely eradicated. With record-
high global temperatures and reduced rainfalls, it is now urgent to bring water back, creating
new types of
AR-402(ae): Studio MA2 (Pantazis et Rentzou)In the center of Athens, the presence of water has been completely eradicated. With record-
high global temperatures and reduced rainfalls, it is now urgent to bring water back, creating
new types of
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
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
AR-669: Urban Regeneration and Industrial HeritageThe course seeks to tackle the challenges of industrial sites reuse, considering governance and heritage issues for territories. The aim is to combine current debates in the three polytechnics, and di
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
