COM-406: Foundations of Data ScienceWe discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas an
MICRO-311(b): Signals and systems II (for SV)Ce cours aborde la théorie des systèmes linéaires discrets invariants par décalage (LID). Leurs propriétés et caractéristiques fondamentales y sont discutées, ainsi que les outils fondamentaux permett
EE-280: ElectronicsPrésentation des principaux composants de base de l'électronique.
Analyse de circuits à base d'amplificateurs opérationnels.
Introduction aux circuits logiques élémentaires.
Principe de la conversion
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,
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
EE-539: Electric filtersIntroduction to approximation and synthesis methods for analog filters. Modern realization technologies are described including their limitations
