CS-448: Sublinear algorithms for big data analysisIn this course we will define rigorous mathematical models for computing on large datasets, cover main algorithmic techniques that have been developed for sublinear (e.g. faster than linear time) data
MATH-106(f): Analysis IIÉtudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles de plusieurs
variables.
AR-202(q): Studio BA4 (Assemble)The work this year will investigate how we can imagine, design and demonstrate the ways in which affordable, low-impact housing on small scale agroecological farms could be built.
ME-460: Renewable energy (for ME)The students assess and compare all renewable energy resources, their real potentials, limitations and best applications (energy services). Solar thermal, solar electric, wood, bioliquids, biogas, hyd
MATH-512: Optimization on manifoldsWe develop, analyze and implement numerical algorithms to solve optimization problems of the form min f(x) where x is a point on a smooth manifold. To this end, we first study differential and Riemann
CS-358(b): Making intelligent things BThe course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided
