Master's degree in Computer Engineering for Robotics and Smart Industry

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Robotics and smart industries

To see your indicative training path, select your registration year

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Inserisci la matricola per vedere la tua offerta formativa nell'anno corretto.

The teaching program is also active for the second year


Course curriculum: training activities divided by year of enrollment
Year Credits TTA Activity Academic year of attendance
1° 9  B Discrete event and hybrid systems (ING-INF/05) 2020/2021
1° 9  B Machine learning & artificial intelligence (ING-INF/05) 2020/2021
1° 9  B Dynamic systems - Dynamic System Theory (ING-INF/04) 2020/2021
1° 9  C Industrial Plants & Production Management (ING-IND/13 ,ING-IND/35) 2020/2021
1° 12  B
Compulsory courses for Embedded & IoT Systems:
Available modules Credits Academic year of attendance
Embedded & IoT Systems Design (ING-INF/05) 6 2020/2021
Embedded operating systems (ING-INF/05) 6 2020/2021
1° 12  B/C
Compulsory courses for Robotics systems:
Available modules Credits Academic year of attendance
Computer Vision (INF/01) 6 2020/2021
Robotics (ING-INF/05) 6 2020/2021
1° 12  B/C
Compulsory courses for Smart systems &data analytics:
Available modules Credits Academic year of attendance
Process monitoring (ING-INF/05) 6 2020/2021
Human computer interaction (INF/01 ,ING-INF/06) 6 2020/2021
 
2° 12  B/C
Compulsory courses for Embedded & IoT Systems:
Available modules Credits Academic year of attendance
Advanced computer architectures (INF/01) 6 2020/2021
Networked embedded & IoT systems (ING-INF/05) 6 2020/2021
2° 12  B/C
Compulsory courses for Robotics systems:
Available modules Credits Academic year of attendance
Advanced control systems (ING-INF/04) 6 2020/2021
Physical human-robot interaction (ING-INF/05) 6 2020/2021
2° 12  B/C
Compulsory courses for Smart systems &data analytics:
Available modules Credits Academic year of attendance
Digital design (ING-INF/05) 6 2020/2021
Data warehouse and integration (ING-INF/05) 6 2020/2021
 
1° 2° 18  C
3 courses to be chosen among the following:
Available modules Credits Academic year of attendance
Advanced database & information systems (INF/01) 6 2020/2021
Data Visualization (INF/01) 6 2020/2021
Deep Learning (INF/01) 6 2020/2021
Electronic devices and sensors (ING-INF/01) 6 2020/2021
Materials Science (ING-IND/16) 6 2020/2021
Mobile robotics (INF/01) 6 2020/2021
Robotics, vision and control (INF/01 ,ING-IND/34) 6 2020/2021
Robot programming and control (INF/01) 6 2020/2021
Cyber-security for iot (INF/01) 6 2020/2021
Organization studies (SECS-P/10) 6 2020/2021
Systems design laboratory (INF/01) 6 2020/2021
Systems verification & testing (INF/01) 6 2020/2021
1° 2° 12  D Activities to be chosen by the student  
1° 2° 3  F Other activities  
1° 2° 3  F Training  
 
2° 24  E Final exam  

Legend | Type of training activity (TTA)

A Basic activities
B Characterizing activities
C Related or complementary activities
DActivities to be chosen by the student
EFinal examination
FOther activitites
SPlacements in companies, public or private institutions and professional associations


Per informazioni complete su obiettivi e sbocchi professionali, consulta la Scheda Unica Annuale "SUA-CdS" sul sito Universitaly.