| Year | 2021 |
|---|---|
| Code | 5650 |
| Main Department | Dipartimento di Informatica - Scienze e Ingegneria - DISI |
| Campus | Cesena |
| Credits | 6 |
| Cost | 400,00 € |
| Application deadline | Jun 01, 2021 (Expired) |
| Enrolment start and end | from 07 June 2021 to 11 June 2021 |
- Subject area
- Sciences and technology
- Number of participants
- min 6 - max 15
- Duration
- 20 days
- Language
- English
- Additional information
The programme aims the following learning outcomes Enriching knowledges and competences of Computer Science and Engineering graduate and undergraduate students about smart and interconnected objects and about applications based on them and on their integration. The Summer School will be structured in lectures in classroom and in lab, with the aim of providing theoretical concepts together with practical atctivities about the topics and the element at the basis of the design and the development of applications based on Smart Objects.
- Admission qualifications
- - first cycle degree and/or second / single cycle degree obtained under D.M. 270/04 or first cycle degree and/or second / single cycle degree obtained under the laws previously in force (DM 509/99 and Old Regulations) in the following fields or classes: L, M-18 - Computer Science o LM-32 - Computer Engineering, IL-8 - Computer Engineering o L-31 - Computer Science and Technologies;
- first cycle degree and/or second / single cycle degree obtained abroad deemed equivalent to those described in point above by the admission committee, for the purposes of admission to the Master.
- Undergraduate students (with secondary school diploma) can be admitted, wether enrolled at a Bachelor degree and with computer science and engineering competences. - Selection criteria
- Admission to the Summer School is subject to a positive opinion based on evaluation of the curriculum vitae and of the motivation letter.
- Academic director
- Silvia Mirri
- Study plan
- Data Prediction - INF/01 - Docente: Vittorio Maniezzo;
- Security for Smart Objects - INF/01 - Docente: Gabriele D' Angelo;
- Data Visualization - INF/01 - Docente: Catia Prandi;
- Laboratorio "Smart Sensing and HCI" - INF/01 - Docente: Silvia Mirri;
- Visita Guidata alla Fondazione/Museo Marconi - INF/01 - Docente: Silvia Mirri;
- Laboratorio "Sensable smart objects" - INF/01 - Docente: Roberto Girau.