International Summer School on Smart Objects and Applications

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. 

Prof.ssa Silvia Mirri

Telephone
+390547338892

Contacts

Prof.ssa Silvia Mirri

Telephone
+390547338892