EE-111: Circuits and systemsCe cours présente une introduction à la théorie et aux méthodes d'analyse et de résolution des circuits électriques.
EE-320: Analog IC designIntroduction to the design of analog CMOS integrated circuits at the transistor level. Understanding and design of basic structures.
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
EE-362: Power systems analysisThe course provides the fundamental concepts to model power systems, understand their operation and design/coordinate some of its main components.
EE-511: Sensors in medical instrumentationFundamental principles and methods used for physiological signal conditioning. Electrode, optical, resistive, capacitive, inductive, and piezoelectric sensor techniques used to detect and convert phys
PHYS-452: Radiation detectionThe course presents the detection of ionizing radiation in the keV and MeV energy ranges. Physical processes of radiation/matter interaction are introduced. All steps of detection are covered, as well
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
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 ...).
MICRO-211: Analog circuits and systemsThis course introduces the analysis and design of linear analog circuits based on operational amplifiers. A Laplace early approach is chosen to treat important concepts such as time and frequency resp
EE-520: Low-power analog IC designThis course presents the design of low-power analog CMOS integrated circuits. The techniques are based on the concept of inversion coefficient that can be used as the main design parameter for the opt
BIOENG-450: In silico neuroscience"In silico Neuroscience" introduces students to a synthesis of modern neuroscience and state-of-the-art data management, modelling and computing technologies.
