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Here are some suggestions of the courses you could take based on your interest. These are merely suggestions for those who do not know which courses to consider, or a starting point to building your course list, which should reflect your own personal interests. They should be treated as such. If you have any doubts or questions, please contact the coordinators.
Here are some suggestions of the courses you could take based on your interest. These are merely suggestions for those who do not know which courses to consider, or a starting point to building your course list, which should reflect your own personal interests. They should be treated as such. If you have any doubts or questions, please contact the coordinators.
Here are some suggestions of the courses you could take based on your interest. These are merely suggestions for those who do not know which courses to consider, or a starting point to building your course list, which should reflect your own personal interests. They should be treated as such. If you have any doubts or questions, please contact the coordinators.
Une immersion en laboratoire est possible dès la première année pour les étudiantes et les étudiants qui le souhaitent.
Raymond E. GOLDSTEIN
Department of Applied Mathematics and Theoretical Physics, University of Cambridge
Phototaxis and the Evolution of Multicellularity
Lukas Novotny
ETH Zurich, Photonics Laboratory, Switzerland
Quantum Control of a Levitated Nanoparticle
Can the whole not merely be the sum of its parts? How do collective patterns appear?
Could three molecules of water form ice?
Could higher-level abilities be created from interacting AI agents?
The notion of complexity pertains to systems in which somewhat unexpected properties emerge from the interplay of a sufficiently large number of entities — be they particles, living cells, artificial neurons, organisms, people, abstract agents... or even a mixture of some (or all!) of these.
Statistical physics has been the first branch of science to try and model in a mathematical manner such systems, focusing especially on the subtle and often elusive passage from the micro/individual level to the macro/collective level. This lecture course explores further how the mindset of statistical physics can provide fertile ground for the analysis and modelling of complexity, across disciplinary boundaries.