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
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 imple
MICRO-523: Optical detectorsStudents analyse the fundamental characteristics of optical detectors, their architectures, selected applications and case studies. Photoemissive devices, photodiodes, infrared sensors and single-phot
EE-427: Analog IC design (for MNIS)This course deals with the analysis, design, and optimization of CMOS analog circuits, emphasizing low-power solutions required in a broad range of applications (e.g., IoT, wearables, Biosensors ...).
EE-594: Smart sensors for IoTThis lecture provides insights in the design and technologies of Internet-of-Things sensor nodes, with focus on low power technologies. The lectures alternate every two weeks between sensing technolog
HUM-217: Musicology and aestheticsRetracer l'histoire des genres et des styles musicaux pratiqués au XXe siècle dans le domaine de la musique savante. Comprendre et analyser les différents langages et courants d'idées. Connaître les œ
EE-426: Radio frequency circuits design techniquesRF has changed our daily life in our ever connected wireless world (guess how many radios you have in your smartphone?). The goal of this course is to get familiar with RF design techniques in view of
