MICRO-311(b): Signals and systems II (for SV)Ce cours aborde la théorie des systèmes linéaires discrets invariants par décalage (LID). Leurs propriétés et caractéristiques fondamentales y sont discutées, ainsi que les outils fondamentaux permett
AR-416: UE N : Constructing the viewThis course focuses on the production of utopian scenarios using experimental composition techniques. By means of digital montage, the fictitious scenes are meaningfully conveyed in a series of images
BIO-603(PA): Practical - Persat LabThe student will learn how to:
- perform high resolution microscopy of single bacterial cells
- perform a motility assay
- operate high resolution microscope
- analyze image data
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
BIO-603(SH): Practical - Stahlberg LabCryo-electron microscopy structural analysis of proteins. The course aims at demonstrating the workflow from sample purification to determining the atomic structure of a soluble or membrane protein.
CS-625: Transfer learning and meta-learningThis seminar course covers principles and recent advancements in machine learning methods that have the ability to solve multiple tasks and generalize to new domains in which training and test distrib
CS-233(a): Introduction to machine learning (BA3)Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analy
