EE-805: Fundamentals of Image AnalysisThis summer school is an hands-on introduction on the fundamentals of image analysis for scientists. A series of lectures provide students with the key concepts in the field, and are followed by practical sessions with popular software on the participants' ...
QUANT-410: Microwave engineering in physicsThis course aims at teaching basic notions and tricks of microwave engineering to students with only an elementary knowledge of applied electromagnetism. Emphasis is made on topics that often arise in modern physics experiments, including quantum science a ...
PHYS-642: Statistical physics for optimization & learningThis course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and st ...
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 ...
MICRO-523: Optical detectorsStudents analyse the fundamental characteristics of optical detectors, their architectures, selected applications and case studies. Photoemissive devices, photodiodes, infrared and single-photon detectors are studied. CCD, CMOS and SPAD cameras are analyse ...
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 understanding the basics behind wireless communication. ...
AR-128: Technologie du bâti I, IIIntroduction à la technologie du bâti: défis environnementaux et sociétaux, exigences techniques et fonctionnelles du bâtiment dans la durée, équilibre statique des ossatures, matériaux de construction, détails d'assemblage et mise en oeuvre, stratégies de ...
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 ...
