DH-406: Machine learning for DHThis course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and imple
HUM-269: History and theory of photographyLe cours propose une introduction à l'histoire de la photographie à travers la présentation de dix notions clés, analysées dans leur développement historique du 19e au 21e siècle.
EE-726: Sparse stochastic processesWe cover the theory and applications of sparse stochastic processes (SSP). SSP are solutions of differential equations driven by non-Gaussian innovations. They admit a parsimonious representation in a
MATH-496: Computational linear algebraThis is an introductory course to the concentration of measure phenomenon - random functions that depend on many random variables tend to be often close to constant functions.
AR-329: Constructing the view: built imagesWhat is meant by the term "image" as pictorial representation? How do we read, process and interpret images - and what premises can be derived from this for the conception and production of meaningful
MICRO-511: Image processing IIntroduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in