ENV-103: BiologyThis course will cover the fundamental principles governing life and the living world. Topics will include the diversity of living organisms, cellular biology, genetics, evolution, and ecology. This c
AR-674: Transition workshop / Theory masterclassThe Transition Workshop1_ Theory Masterclass is the first theoretical part of a complete interdisciplinary and intensive training on the pathways for decarbonizing and resilient cities and regions, en
AR-673: Transition workshopThe TW offers an educational framework to accelerate the ecological transition of the built realm. It aims to deepen the knowledge on the built environment and its sustainable development, create/tran
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
ENV-202: Microbiology for engineers"Microbiology for engineers" covers the main microbial processes that take place in the environment and in treatment systems. It presents elemental cycles that are catalyzed by microorganisms and that
HUM-226: Wellbeing and Planetary BoundariesL'objectif de ce cours est de donner une compréhension globale des enjeux de la durabilité et de ses implications. Que signifie "durabilité" ? Comment est-elle mesurée ? Comment l'atteindre ?
ENV-418: River eco-morphologyLe cours traite les interactions entre l'hydraulique, le transport solide par charriage et l'espace cours d'eau à l'origine de la morphologie et de la richesse des habitats. La théorie de régime est p
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
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
