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
MICRO-501: MEMS practicals IObjective of this practical is to apply in specific experimental settings the knowledge acquired in various MEMS related class
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 pract
COM-405: Mobile networksThis course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging.
PHYS-436: Statistical physics IVNoise and fluctuations play a crucial role in science and technology. This course treats stochastic methods, applying them to both classical problems and quantum systems. It emphasizes the frameworks
EE-435: Analog circuit design II (for MNIS)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 fr
