| Year | 2022 |
|---|---|
| Code | 5650 |
| Main Department | Dipartimento di Informatica - Scienza e Ingegneria |
| Campus | Cesena |
| Credits | 6 |
| Cost | 400,00 euros |
| Application deadline | Jun 08, 2022 (Expired) |
| Enrolment start and end | from 13/06/2022 to 16/06/2022 |
- Subject area
- Sciences and technology
- Learning outcomes
- The programme lasts for 15 days, classroom training is delivered in English, awards 6 CFU credits and 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.
- Number of participants
- min 6 - max 15
- Duration
- 15 days
- Language
- English
- 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 motivational letter.
- Academic director
- Silvia Mirri
- Study plan
- Data Prediction - INF/01 - Docente titolare: Vittorio Maniezzo;
- Security for Smart Objects - INF/01 - Docente titolare: Gabriele D'Angelo;
- Data Visualization - INF/01 - Docente titolare: Catia Prandi
- Laboratorio "Smart Sensing and HCI" - INF/01 - Docente titolare: Silvia Mirri;
- Visitata guidata alla Fondazione/Museo Marconi;
- Laboratorio "Sensable smart objects" - INF/01 - Docente titolare: Giovanni Pau.