EE-714: Nonlinear signal modeling and predictionThe literature on nonlinear signal processing has exploded, and it becomes more and more difficult to identify the most useful approaches for specific contexts. This course presents promising developm
MATH-680: Monstrous moonshineThe monstrous moonshine is an unexpected connection between the Monster group and modular functions. In the course we will explain the statement of the conjecture and study the main ideas and concepts
MGT-492: Data science and machine learning IThis class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks,
AR-597(b): Superstudio BSuperstudio est la plate-forme qui permet d'esquisser une vision de l'architecture qui, pour être efficace en termes de clarification d'une idée, doit pouvoir se manifester dans des formes poussées à
MATH-425: Spatial statisticsIn this course we will focus on stochastic approaches for modelling phenomena taking place in multivariate spaces. Our main focus will be on random field models and on statistical methods for model-ba
MATH-604: Some Aspects of Calculus of VariationsThe goal of this course is to present an overview on the solvability and the regularity of relevant models of physical, technological and economical systems, which may be formulated as minimization pr
EE-539: Electric filtersIntroduction to approximation and synthesis methods for analog filters. Modern realization technologies are described including their limitations
MATH-251(d): Numerical analysisThis course offers an introduction to numerical methods for the solution of mathematical problems as: solution of systems of linear and non-linear equations, functions approximation, integration and d
PHYS-449: Optics IIIRéaliser un système d'optique complexe. Comprendre l'interaction de la lumière avec la matière en optique nonlinéaire et optique pulsé. Comprendre les méthodes de génération, d'amplification e de comp