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 activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities 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. 2022/2023

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
Final exam
24
E
-
ModulesCreditsTAFSSD
9
B
ING-INF/04
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities 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°
Further 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

Coordinator

Andrea Calanca

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Secondo semestre dal Mar 7, 2022 al Jun 10, 2022.

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.

Program

- Introduction to firmware programming
- Firmware programming in ST environment
- actuation and control systems (review)
- analysis of the performance and practical limits of actuation and control systems
- Design of control systems for electric motors
- Implementation of control systems for electric motors

Examination Methods

The exam will consist of homeworks assigned during the course and a final project assigned by one of the teachers.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE