EE-733 / 4 crédits

Enseignant(s): Aminian Kamiar, Atienza Alonso David, Burg Andreas Peter

Langue: Anglais

Remark: Next time: Fall 2022


Frequency

Every 2 years

Summary

This course provides an overview of the relevant technologies and approaches for the design and optimization of Internet-of-Things (IoT) systems. It covers architectures of edge computing platforms, wireless communication options, cloud computing backend and different machine learning applications.

Content

Note

THIS COURSE WILL TAKE PLACE IN ROOM ELG 022.

Keywords

Internet of Things (IoT), low power design and optimization, smart wearables, embedded systems, wireless communication, cloud computing.

Learning Prerequisites

Recommended courses

EE-490(g), EE-442.

Learning Outcomes

By the end of the course, the student must be able to:

  • Expound the basis of IoT sensor nodes and architectures
  • Expound low-power design options at system-level design
  • Select appropriately the wireless communication protocol based on a required energy and performance requirements
  • Expound the basis of wearable architectures and bio-signal processing analysis

Assessment methods

Oral presentation.

Dans les plans d'études

  • Nombre de places: 23
  • Forme de l'examen: Exposé (session libre)
  • Matière examinée: Design and Optimization of Internet-of-Things Systems
  • Cours: 24 Heure(s)
  • Exercices: 24 Heure(s)
  • TP: 8 Heure(s)

Semaine de référence