Enrollment:
from 20-02-2026
to hour 12:00 on 26-02-2026
Enrollment closed
Application completed, activity in evaluation
Language:
ITALIAN
Campus:
MILANO CITTÀ STUDI
Subject area:
Tools
Project laboratory
Informatic laboratory
Frontal teaching
Experimental laboratory
- Docente responsabile
- LORENZO MARIO FAGIANO
- CCS proponenti
- Ingegneria dell'Automazione
- CFU
- 1
- Ore in presenza
- 10
- Prerequisiti
- Basic programming knowledge (preferably Python/C).
Active Google account for Colab usage.
Installation of STCubeMX, STM32Proggramer, STM32ICubeIDE software is recommended. - N° max studenti
- 40
- Criteri di selezione
- Open for students enrolled in Engineering Master of Science programs. Chronological order.
- Parole chiave:
- Edge computing, Machine Learning, Microcontrollers, Neural Networks
- Tag
- Industry 4.0, Engineering, Artificial intelligence, Software
Descrizione dell'iniziativa
The theoretical-practical course aims to introduce students to the world of ML and neural processing on edge devices. The activity is structured in three workshop sessions that guide students from the basic concepts of neural networks to their implementation and optimization on real hardware (ST Microelectronics microcontrollers). The program is structured as follows:
Periodo di svolgimento
dal March 2026 a March 2026
Calendario
02/03/2026
09/03/2026
13/03/2026
Dalle 14:30 alle 18:00
Note
The course involves the use of standard professional tools (ST ecosystem) and will be delivered by an expert from ST Microelectronics.
The initiative is part of the training calendar o􀆯ered by Automation Engineering Association (AEA).