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AR-458: City and mobility

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BIO-497: Concept to early-stage Drug and MedTech products

This course covers the steps in the development and commercialization of drugs, medical devices, food and nutritional products. The aim is to educate and motivate students to explore career paths in t

CH-230: Organic chemistry laboratory Work

Méthodes de purification (distillation, cristallisation, chromatographie), synthèse organique simple: bromation, réduction, acylation, imine, nitration, Grignard, Reformatsky Acquisition des connaiss

CIVIL-390: Project in civil engineering

Application des connaissances acquises au bachelor à un projet de génie civil

PHYS-754: Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way.

ME-700: Designing Testing Machines for Geomechanics

Develop your own machines to meet your scientific needs. Learn how to build high-pressure, high-temperature machines, as well as low-to-high-speed friction machines for geomechanics experiments. Addit

CIVIL-599: Master project in Civil Engineering

Application des connaissances de niveau master à la réalisation d'un projet de fin d'études à haute valeur scientifique dans le domaine du génie civil ou associé.

MSE-656: CCMX Advanced Course - Instrumented Nanoindentation

This course is intended for current nanoindentation users who want to gain the experience and knowledge required to extract useful data from challenging sample materials. It is also intended for users

CIVIL-493: Optional interdisciplinary project

Application of master's level knowledge to an academic project relating to the interdisciplinary aspects of civil engineering.

AR-682: Citation Politics

Attendees will gain insights into emerging trends, challenges, and opportunities in citation practices, as well as practical strategies for engaging with AI, promoting diversity in citations, and inco

FIN-417: Quantitative risk management

This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate risk factor models, non-linear dependence structures (copula models), as well as p