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

4S009014

Credits

6

Language

English en

The teaching is organized as follows:

FUNDAMENTALS en

Credits

3

Period

I semestre

Academic staff

Andrea Giachetti

ADVANCED INTERACTION en

Credits

3

Period

I semestre

Academic staff

Andrea Giachetti

Learning outcomes

The course aims to provide fundamental notions for the design and evaluation of interactive systems, with particular attention also to novel interaction paradigms particularly interesting for the Industry 4.0 framework, e..g virtual and augmented reality. The course will introduce basic concepts about usability and user experience, human factors, interaction paradigms, usability engineering and evaluation

These topics will be addressed in a peculiar way for advanced applications in the field of immersive virtual reality giving practical examples and analyzing related scenarios.

At the end of the course, the student will have to demonstrate knowledge and understanding of the basic principles of usability and be able to apply them to the design of various types of computer interfaces. He will be able to develop prototypes of virtual / mixed reality applications, considering the specificities of the interaction. He wll be able to analyze the usability and the user experience of both standard interfaces and mixed reality applications.

This knowledge will provide the student with the ability to: i) independently assess the usability problems of the systems and select the correct evaluation methods for each different task; ii) expand and deepen the technical knowledge of the various aspects of the Computer Engineering for Robotics and Smart Industry study path being able to consider the effects of human factors in the use of technology. At the end of the course, the student will also have to show that he is able to: i) usability to different application areas; ii) develop interactive 3D environments for usability analysis, training, interaction in mixed reality.