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AR-804: Summer School on Designing for Resiliency: RE:GENERATE alpine-urban circularity

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PHYS-441: Statistical physics of biomacromolecules

Introduction to the application of the notions and methods of theoretical physics to problems in biology.

BIO-369: Randomness and information in biological data

Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to

ENV-418: River eco-morphology

Le 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

ME-474: Numerical flow simulation

This course provides practical experience in the numerical simulation of fluid flows. Numerical methods are presented in the framework of the finite volume method. A simple solver is developed with Ma

ENV-471: Environmental economics

Introduction to economic analysis applied to environmental issues: all the necessary basic concepts, including cost-benefit analysis, for environmental policy making and its instruments (examples: cli

MICRO-301: Manufacturing technologies

This course gives an introduction to production methods and manufacturing technologies used in microengineering. The focus is given on the understanding of physical phenomena underlying the processes,

CS-101: Advanced information, computation, communication I

Discrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics a

AR-301(as): Studio BA5 (Peris et Toral)

Habitat and comfort, architectures of the air, collective housing, place as site, superblock , study trip: Barcelona

AR-401(as): Studio MA1 (Peris et Toral)

Habitat and comfort, architectures of the air, collective housing, place as site, superblock , study trip: Barcelona

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