Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
9
B
ING-INF/04
Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory courses for Smart systems &data analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
Compulsory courses for Smart systems &data analytics
6
B/C
ING-INF/05
Final exam
24
E
-
ModulesCreditsTAFSSD
9
B
ING-INF/04
Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory courses for Smart systems &data analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
Compulsory courses for Smart systems &data analytics
6
B/C
ING-INF/05
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Other activities
3
F
-
Between the years: 1°- 2°
Training
3
F
-

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S009026

Credits

6

Coordinator

Andrea Calanca

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria

Credits

5

Period

II semestre

Laboratorio

Credits

1

Period

II semestre

Academic staff

Diego Dall'Alba

Learning outcomes

The course aims to provide the following knowledge: programming of complex robotic systems with particular reference to perception, navigation, planning and control.

At the end of the course the student will have to demonstrate that he has the following skills to apply the acquired knowledge: to provide the knowledge to implement perception, navigation, planning and control algorithms for robotic systems; show knowledge of the main programming methods of robotic systems in order to (a) perceive the surrounding environment; (b) plan movement paths; (c) to control movement and possible interaction with the environment.

Furthermore, he must have the ability to define the technical specifications for selecting, integrating and designing software modules for robotic systems and be able to deal with other engineers (e.g. electronic, automatic, mechanical) to design advanced software architectures for complex robotic systems. Finally, he must have the ability to continue his studies independently in the field of designing software architectures for robotic systems.

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria Dalle lezioni Appunti dalle lezioni 2021
Teoria L. Sciavicco e B. Siciliano Robotica Industriale -- Modellistica e Controllo di Manipolatori (Edizione 2) McGraw Hills 2002
Laboratorio Dalle lezioni Appunti dalle lezioni 2021