HUM-405: Media culture IIL'objectif du cours est que les étudiants acquièrent les bases théoriques et méthodologiques d'une approche sociologique des médias (particulièrement des médias sportifs) et qu'ils puissent s'en servi
MICRO-510: Embedded motor controlL'étudiant sera capable de concevoir, de réaliser et de programmer une électronique complète de commande de moteur ou d'actionneur. Il saura appliquer la théorie de la commande de moteur sur des systè
HUM-464: Thinking the nature IILe cours examine de manière ouverte les constructions de la Nature par diverses sciences et cultures. Il met l'accent sur la pluralité des modes d'apparition de la Nature et sur les rôles qui lui sont
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.
BIO-501: Lab immersion IEngaging in a hands-on wetlab and/ or computational project in life sciences engineering, students develop skills in experimentation and data analysis.
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.
ME-419: Production managementProduction management deals with producing goods sustainably at the right time, quantity, and quality with the minimum cost. This course equips students with practical skills and tools for effectively
EE-600: Usability engineeringIntroduction to Human Factors/Usability Engineering theory and research methods.
Human Factors Engineering/Usability is interdisciplinary and focuses on human cognition, behavior and ergonomics in de
HUM-351: Becoming an ethical engineerStudents will develop an understanding of the psychological and social processes of learning the following competences: (i) ethical sensitivity, (ii) ethical reasoning, (iii) ethical motivation, and (
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi