Edge Computing in the IoT
Persone
Docente titolare del corso
Assistente
Descrizione
IoT systems are composed of networked computing elements that are integrated into the physical world and interact with it. The course introduces students to embedded hardware, embedded operating systems, embedded programming, sensors and actuators, specific network protocols, and computational models. In discussing computational models, the course will especially focus on machine learning algorithms and their deployment to edge devices.
Obiettivi
In this course, students will learn the peculiarities of IoT nodes, how to program them effectively, and how to exploit their hardware, including sensors and actuators.
Modalità di insegnamento
In presenza
Impostazione pedagogico-didattica
The course will include frontal instruction as well as lab sessions and group work on projects.
Modalità d’esame
Students will be evaluated based on:
- A group course project to be carried out during the course (40%)
- A group oral presentation on network protocols (20%)
- A written exam (40%)
Bibliografia
- Lee, Edward A., Seshia, Sanjit Arunkumar, Lee, Edward Ashford, Seshia, Sanjit A.. Introduction to embedded systems: a cyber-physical systems approach. Second edition. Cambridge, Mass.: MIT Press, 2017. (Also available as a free pdf at: https://ptolemy.berkeley.edu/books/leeseshia/)
-
Wolf, Marilyn. "Embedded Computing" Computers as Components.
10.1016/b978-0-12-805387-4.00001-7
Offerta formativa
- Master of Science in Artificial Intelligence, Lezione e laboratorio, A scelta, 1° anno
- Master of Science in Artificial Intelligence, Lezione e laboratorio, A scelta, 2° anno
- Master of Science in Informatics, Lezione e laboratorio, Computer Systems, A scelta, 1° anno
- Master of Science in Informatics, Lezione e laboratorio, Computer Systems, A scelta, 2° anno
- Dottorato in Scienze informatiche, Lezione e laboratorio, A scelta, 1° anno (2.0 ECTS)
Prerequisito
- Computer Architecture, Langheinrich M., Laporte M., Rezaalipour M., SA 2021-2022
- Computer Networking, Santini S., Alecci L., Laporte M., SP 2022
- Operating Systems, Pedone F., de Lima Batista E. R., Milosevic N., SP 2023