Edge Computing in the IoT
People
Course director
Assistant
Description
IoT systems are composed of networked computing elements that are integrated into the physical world. The course concentrates IoT nodes and their interactions with other computational elements and with the physical world. In particular, the course introduces students to embedded hardware, embedded operating systems, embedded programming, sensors and actuators, specific network protocols, and computational models. In the discussion of computational models, the course will especially focus on machine learning algorithms.
Objectives
The main objective of the course is to make the students familiar with the insights of IoT edge devices. In particular, students will learn the peculiarities of IoT nodes, how to program them effectively, and how to use sensors and actuators.
Teaching mode
In presence
Learning methods
The course will include frontal instruction, but also group work on course projects.
Examination information
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%)
Bibliography
- 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
Education
- Master of Science in Artificial Intelligence, Lecture and Laboratory, Elective, 1st year
- Master of Science in Artificial Intelligence, Lecture and Laboratory, Elective, 2nd year
- Master of Science in Informatics, Lecture and Laboratory, Computer Systems, Elective, 1st year
- Master of Science in Informatics, Lecture and Laboratory, Computer Systems, Elective, 2nd year
- PhD programme of the Faculty of Informatics, Lecture and Laboratory, Elective, 1st year (2.0 ECTS)
Prerequisite
- 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