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.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026

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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05

2° Year   activated in the A.Y. 2020/2021

ModulesCreditsTAFSSD
6
B
ING-INF/05
6
B
INF/01
Other activities
4
F
-
Final exam
24
E
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05
activated in the A.Y. 2020/2021
ModulesCreditsTAFSSD
6
B
ING-INF/05
6
B
INF/01
Other activities
4
F
-
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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

4S00078

Credits

6

Coordinator

Paolo Fiorini

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria
The activity is given by Robotics - Teoria of the course: Master's degree in Computer Engineering for Robotics and Smart Industry

Credits

5

Period

I semestre

Academic staff

Andrea Calanca,Paolo Fiorini

Laboratorio
The activity is given by Robotics - Laboratorio of the course: Master's degree in Computer Engineering for Robotics and Smart Industry

Credits

1

Period

I semestre

Academic staff

Andrea Calanca

Learning outcomes

The course aims at providing tools for programming complex robotics systems focusing on perception, planning and control, using a unified approach between theory and practice.

At the end of the course the student will demonstrate ability to understand and implement perception, planning and control algorithms using established methodologies and tools for robot programming.

Program

* Introduction to the course * Spatial kinematics * Direct kinematic of a manipulator arm * Inverse kinematics of a manipulator * Differential kinematics * Robot dynamics * Robot control The course consists of about 40 hours of lecture, with presentaiton of the main concepts, carried out meaningful examples, and develop discussions with the students.

Bibliography

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

Examination Methods

The exam will be written and will include a project agreed upon with the teacher.


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