AR-301(bf): Théorie et critique du projet BA5 (Grillo et Vasiu)This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions.
AR-302(bf): Théorie et critique du projet BA6 (Grillo et Vasiu)This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions.
AR-401(bf): Théorie et critique du projet MA1 (Grillo et Vasiu)This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions.
AR-402(bf): Théorie et critique du projet MA2 (Grillo et Vasiu)This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions.
MATH-251(c): Analyse numériqueLe cours présente des méthodes numériques pour la résolution de problèmes mathématiques comme des systèmes d'équations linéaires ou non linéaires, l'approximation de fonctions, l'intégration et la dérivation, et les équations différentielles. ...
PHYS-428: Relativity and cosmology IIThis course is the basic introduction to modern cosmology. It introduces students to the main concepts and formalism of cosmology, the observational status of Hot Big Bang theory
and discusses major physical processes in the early Universe. ...
MICRO-462: Learning and adaptive control for robotsTo cope with constant and unexpected changes in their environment, robots need to adapt their paths rapidly and appropriately without endangering humans. this course presents method to react within millisecunds. ...
PHYS-512: Statistical physics of computationThe students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning. ...
COM-502: Dynamical system theory for engineersLinear and nonlinear dynamical systems are found in all fields of science and engineering. After a short review of linear system theory, the class will explain and develop the main tools for the qualitative analysis of nonlinear systems, both in discrete-t ...
MATH-251(a): Analyse numériqueThis course presents numerical methods to solve mathematical problems such as systems of linear and nonlinear equations, function approximation, integration and differentiation, and differential equations. ...
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 practised. ...
MGT-418: Convex optimizationThis course introduces the theory and application of modern convex optimization from an engineering perspective. ...
ENV-203: Atmospheric physics and the climate systemThe course provides an introduction to the physical and dynamical processes that govern the atmosphere at small and large scales. The basis is laid for an in depth understanding of our atmospheric environment and the climate system.
ME-221: Dynamical systemsProvides the students with basic notions and tools for the analysis of dynamic systems. Shows them how to develop mathematical models of dynamic systems and perform analysis in time and frequency domains. ...
BIO-341: Dynamical systems in biologyLife is non-linear. This course introduces dynamical systems as a technique for modelling simple biological processes. The emphasis is on the qualitative and numerical analysis of non-linear dynamical models. Examples are taken from biology and population ...
MATH-467: Probabilistic methods in combinatoricsThe 'probabilistic method' is a fundamental tool in combinatorics. The basic idea is as follows: to prove that an object (for example, graph) with certain properties exists, it suffices to prove that if the object is chosen at random, then it has the desir ...
ME-273: Introduction à la commande des systèmes dynamiquesCours introductif à la commande des systèmes dynamiques. On part de quatre exemples concrets et on introduit au fur et à mesure un haut niveau d'abstraction permettant de résoudre de manière unifiée les problèmes d'asservissement et de régulation, en parti ...
