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 ...
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. ...
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' ...
BIO-449: Understanding statistics and experimental designThis course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental design and to avoid common pitfalls of statistical reason ...
CS-433: Machine learningMachine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. ...
EE-523: Advanced analog integrated circuit designIntroduction to advanced topics in analog and mixed-signal CMOS circuits at the transistor level. The course will focus on practical aspects of IC design, quantitative performance measures, and design trade-offs to develop an intuitive understanding of cir ...
MICRO-330: CapteursPrincipes physiques et électronique utilisés dans les capteurs. Applications des capteurs. ...
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 ...
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 ...