The goal of this practical work is to create thermal micro-actuators consisting of micro-cantilevers made out of silicon dioxide and covered by chromium meander-shaped electrical tracks and contact pads. ...
This course covers methods for the analysis and control of systems with multiple inputs and outputs, which are ubiquitous in modern technology and industry. Special emphasis will be placed on discrete-time systems due to their relevance to digital and embe ...
This 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' ...
The course provides a comprehensive treatment of analog IC design, emphasizing new solutions and paradigms used in today's low-power electronic systems. The analysis and design are first introduced from an intuitive perspective before the rigorous treatmen ...
This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees
Students 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 ...
This 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 ...
Introduction 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 ...
This is a mini topics course on global solutions to singular SPDEs, such as Phi4, Anderson model, Navier-Stokes driven by white noises. Prerequisite is an introductory course of PDE and probability theory. ...