CIVIL-455: Transportation economicsThe scope of the lecture is to provide the basic concepts in transport economics and introduce new ones for private and public transport and environmental issues. Demand, supply, welfare analysis an
AR-225: History of architecture III/IVThe course investigates the global history of architecture and town planning between the 16th and 19th centuries, its architects and buildings, and highlights the theoretical, artistic and technical i
ENG-410: Energy supply, economics and transitionThis course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how
AR-402(ah): Studio MA2 (Malterre-Barthes)This studio explores construction materials, their origins and supply chains, the norms that regulate their use, and deploys that as a brief to explore how a post-extractive architecture could emerge
AR-302(ah): Studio BA6 (Malterre-Barthes)This studio explores construction materials, their origins and supply chains, the norms that regulate their use, and deploys that as a brief to explore how a post-extractive architecture could emerge
ENV-410: Science of climate changeThe course equips students with a comprehensive scientific understanding of climate change covering a wide range of topics from physical principles, historical climate change, greenhouse gas emissions
HUM-471: Economic growth and sustainability IThis course examines growth from various angles: economic growth, growth in the use of resources, need for growth, limits to growth, sustainable growth, and, if time permits, population growth and gro
MSE-466: Wood structures, properties and usesThe presentation of tree growth and formation of wood anatomical structures, linked to the description of specific physical and mechanical properties, makes it possible to understand the different for
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi