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

Robotics and smart industries

To see your indicative training path, select your registration year

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
B Discrete event and hybrid systems - Sistemi a eventi discreti e ibridi (ING-INF/05) 2020/2021
B Machine learning & artificial intelligence - Apprendimento Automatico e Intelligenza Artificiale (ING-INF/05) 2020/2021
B Dynamic systems - Dynamic System Theory (ING-INF/04) 2020/2021
C Industrial plants & production management (ING-IND/13 ,ING-IND/35) 2020/2021
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
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
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
 
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
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
12  B/C
Compulsory courses for Smart systems &data analytics:
Available modules Credits Academic year of attendance
Data warehouse and integration (ING-INF/05) 6 2020/2021
Digital design (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
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
Material science (ING-IND/16) 6 2020/2021
Mobile robotics (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° F Other activities  
1° 2° F Training  
 
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.