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
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.
MICRO-461: Low-power radio design for IoTThe basic function of an IoT node is to collect data and send it through a wireless channel to the cloud. Since the power consumption of an IoT node is largely dominated by the wireless communication,
MICRO-705: Low-voltage analog CMOS IC designThe course is covering following aspects: MOS Transistor Modeling for Low-Voltage and Low-Power Circuit Design, Noise Performance of Elementary Transistor Stages, Stability of Operational Amplifiers,
BIOENG-448: Fundamentals of neuroengineeringNeuroengineering is at the frontier between neuroscience and engineering: understanding how the brain works allows developing engineering applications and therapies of high impact, while the design of
MSE-480: Dielectric properties of materialsStudents learn about response of electrically insulating materials to electrical and mechanical fields. The emphasis is on effect of various types of defects on properties, on crystal structure/micros
