ENV-408: Sensing and spatial modeling for earth observationStudents get acquainted with the process of mapping from images (orthophoto and DEM), as well as with methods for monitoring the Earth surface using remotely sensed data. Methods will span from machine learning to geostatistics and model the spatiotempora ...
HUM-401: Artistic practices: field studies, film practice ICe cours, propose 2 options, en anglais et en français : 'Elsewhere Encounters' propose d'explorer différentes approches d'étude de terrain dans le monde artistique ; 'Réalisation' se penche sur les techniques cinématographiques et s'engage dans la réalisa ...
ENV-548: Sensor orientationDetermination of spatial orientation (i.e. position, velocity, attitude) via integration of inertial sensors with satellite positioning. Prerequisite for applications related to remote sensing, environmental monitoring, mobile mapping, robotics, space expl ...
CS-455: Topics in theoretical computer scienceThe students gain an in-depth knowledge of several current and emerging areas of theoretical computer science. The course familiarizes them with advanced techniques, and develops an understanding of fundamental questions that underlie some of the key probl ...
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 implement methods to analyze diverse data types, such as imag ...
CS-423: Distributed information systemsThis course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems. ...
BIO-693: Bioinformatic Analysis of RNA-sequencingThis course will take place from 3rd to 7th June 2024.
It will introduce the workflows and techniques that are used for the analysis of bulk and single cell RNA-seq data. It will empower students to understand and analyze their own data. ...
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, analyzed and practically implemented. ...
ENG-440: Spatial statistics and analysisThe main objective is to make the students understand the importance of the spatial issues in environmental sciences and engineering, for example for mapping and interpolation. Presentation of different concepts and techniques devoted to spatial data. ...
ENV-445: GeomonitoringThe students learn several techniques for spatial mesurements, such as geodesy, aerial photogrammetry and laser scanning. They will be able to collaborate with geologists and civil engineers to master natural risks (landslides, avalanches) and to maintain ...
AR-705: Baukultur and the culture of transitionBaukultur can be approached through the emerging socio-ecological Transition, as two main cultures that still need to be aligned. The Habitat Research Center organizes a public seminar and several academic moments on this topic, in parallel with an ongoing ...
PENS-221: Making the campus of tomorrowThe EPFL-UNIL campus is today at the heart of an intense institutional reflection on its future. The ENAC week aims to carry out specific operational proposals for the campus starting from a reflection on public space, climate change and and built environm ...
