MGT-201: Introduction to entrepreneurshipThis course provides an introduction to the field of entrepreneurship, in particular the process of new venture creation and the commercialization of technologies. It integrates theories of entrepreneurship with a practical, process-based
project, where st ...
AR-302(ah): Théorie et critique du projet BA6 (Malterre-Barthes)How is architecture made? 'Revolutionize Construction' unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects' roles. It explores how these systems might be revolutionized to enable the ...
AR-402(ah): Théorie et critique du projet MA2 (Malterre-Barthes)How is architecture made? 'Revolutionize Construction' unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects' roles. It explores how these systems might be revolutionized to enable the ...
AR-466: UE D : Territoire et sociétéL'UED Territoire et société a pour objectif de familiariser l'étudiant.e avec les méthodes d'observation des SHS en développant une réflexion sur les transformations des villes suisses à partir d'un travail d'enquête et d'analyse in-situ de formes variées ...
PENS-322: Urban voids: mind the gap!This course focuses on transforming urban voids, like vacant lots or abandoned buildings, into valuable spaces addressing challenges such as climate change and social cohesion. It equips engineers and architects with interdisciplinary skills to creatively ...
EE-587: Space sustainability, a multidisciplinary approachThe students will learn the history and geopolitical challenges of space sust. Different tools and methods to measure, understand and act for space sust. will be presented. Throughout group work, the students will evaluate the technical, economical, govern ...
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 data science world (pandas, scikit-learn, Spark, etc.) ...
