DH-405: Foundations of digital humanitiesThis course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their proc ...
CS-308: Introduction to quantum computationThe course introduces the paradigm of quantum computating in an axiomatic way. We introduce the notions of quantum bits, gates, and circuits. We introduce themost important quantum algorithms. We also touch upon error-correcting codes. This course is indep ...
DH-412: History and the digitalThe course presents a number of computational approaches & tools that can be used to study history. Drawing on case studies from the history of science & technology, the course also offers students the opportunity to critically reflect on their own practic ...
MICRO-373: Advanced microfabrication practicalsThis TP allows for in-depth training on advanced micro and nanofabrication methods in a clean-room environment for selected applications, gain deeper knowledge in MEMS/NEMS processes, work in a small group together with PhD students/postdocs during 14 week ...
CIVIL-438: Analyse et gestion de risquesLe cours vise à former les étudiants aux méthodes et outils permettant d'appréhender de manière fondée et scientifique la question de l'analyse et de la gestion des risques technologiques et naturels, avec une attention portée au domaine du Génie civil. ...
BIO-502: Lab immersion IIEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
COM-490: Large-scale data science for real-world dataThis hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insight ...
MGT-484: Applied probability & stochastic processesThis course focuses on dynamic models of random phenomena, and in particular, the most popular classes of such models: Markov chains and Markov decision processes. We will also study applications in queuing theory, finance, project management, etc. ...
BIO-503: Lab immersion IIIEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis. ...
ME-474: Numerical flow simulationThis course provides practical experience in the numerical simulation of fluid flows. Numerical methods are presented in the framework of the finite volume method. A simple solver is developed with Matlab, and a commercial software is used for more complex ...
EE-587: Space sustainability, a multidisciplinary approachThe students will learn the history and geopolitical challenges of space sust. Different tools and methods to measure, understand and act for space sust. will be presented. Throughout group work, the students will evaluate the technical, economical, govern ...
MATH-442: Statistical theoryThis course gives a mostly rigourous treatment of some statistical methods outside the context of standard likelihood theory. ...
NX-591: Industry internship in Neuro-XThe industry internship is an integral part of the curriculum for master's students. They join companies in Switzerland or abroad to carry out an internship in a field of activity where the skills of the future Engineer in Neuro-X are highlighted. ...
PHYS-101(f): Physique générale : mécaniqueLe but du cours de physique générale est de donner à l'étudiant les notions de base nécessaires à la compréhension des phénomènes physiques. L'objectif est atteint lorsque l'étudiant est capable de prévoir quantitativement les conséquences de ces phénomène ...
CS-401: Applied data analysisThis course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) ...
