COM-406: Foundations of Data ScienceWe discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas an
MATH-404: Functional analysis IIWe introduce locally convex vector spaces. As an example we treat the space of test functions and the space of distributions. In the second part of the course, we discuss differential calculus in Bana
MATH-432: Probability theoryThe course is based on Durrett's text book
Probability: Theory and Examples.
It takes the measure theory approach to probability theory, wherein expectations are simply abstract integrals.
MATH-502: Distribution and interpolation spacesThe goal of this course is to give an introduction to the theory of distributions and cover the fundamental results of Sobolev spaces including fractional spaces that appear in the interpolation theor
AR-301(ad): Studio BA5 (Delhay)La maison comme une ville - Une Maisonnée pour 100 personnes organisées autour du repas et des saisons
Voyage d'étude - Bâle: 28 Septembre au 1er Octobre
AR-401(ad): Studio MA1 (Delhay)La maison comme une ville - Une Maisonnée pour 100 personnes organisées autour du repas et des saisons
Voyage d'étude - Bâle: 28 Septembre au 1er Octobre
