EE-594 / 3 crédits

Enseignant(s): Ionescu Mihai Adrian, Paun Maria-Alexandra

Langue: Anglais


Summary

This 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 technologies of various kinds (prof. Ionescu) and their integrated circuit readouts (prof. Enz).

Content

Keywords

Internet-of-Things hardware, wireless sensors, innertial sensors, gas and exposome sensors, biosensors,  wearable sensors, energy harvesting, integrated circuit design for sensor readouts, signal-to-noise ratio, noise in analog electronic circuits.

Learning Prerequisites

Required courses

No pre-requisite is mandatory.

Having basic knowledge and have taken lectures in semiconductor devices and analog IC design would facilitate the understading.

Important concepts to start the course

Internet of Things and Edge Artifical Intelligence.

Learning Outcomes

  • IoT sensor technologies
  • sensing concepts
  • sensor main figures of merit
  • IC readouts for IoT sensors

Teaching methods

1- oral lectures

2- exercices based on selected applications for IoT sensor and readout design

Expected student activities

- read in advance the lectures corresponding to the sessions of exercices.

- no particular homework scheduled

Assessment methods

Written final exam, no mid-term exam.

Resources

Moodle Link

Dans les plans d'études

  • Semestre: Automne
  • Forme de l'examen: Ecrit (session d'hiver)
  • Matière examinée: Smart sensors for IoT
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel
  • Semestre: Automne
  • Forme de l'examen: Ecrit (session d'hiver)
  • Matière examinée: Smart sensors for IoT
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel
  • Semestre: Automne
  • Forme de l'examen: Ecrit (session d'hiver)
  • Matière examinée: Smart sensors for IoT
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel
  • Semestre: Automne
  • Forme de l'examen: Ecrit (session d'hiver)
  • Matière examinée: Smart sensors for IoT
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel
  • Semestre: Automne
  • Forme de l'examen: Ecrit (session d'hiver)
  • Matière examinée: Smart sensors for IoT
  • Cours: 2 Heure(s) hebdo x 14 semaines
  • Exercices: 1 Heure(s) hebdo x 14 semaines
  • Type: optionnel

Semaine de référence

 LuMaMeJeVe
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     

Cours connexes

Résultats de graphsearch.epfl.ch.