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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| Primo semestre | Oct 4, 2021 | Jan 28, 2022 |
| Secondo semestre | Mar 7, 2022 | Jun 10, 2022 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Jan 31, 2022 | Mar 4, 2022 |
| Sessione estiva d'esame | Jun 13, 2022 | Jul 29, 2022 |
| Sessione autunnale d'esame | Sep 1, 2022 | Sep 29, 2022 |
| Session | From | To |
|---|---|---|
| Sessione Estiva | Jul 15, 2022 | Jul 15, 2022 |
| Sessione Autunnale | Oct 14, 2022 | Oct 14, 2022 |
| Sessione Invernale | Mar 14, 2023 | Mar 14, 2023 |
| Period | From | To |
|---|---|---|
| Festa di Tutti i Santi | Nov 1, 2021 | Nov 1, 2021 |
| Festa dell'Immacolata Concezione | Dec 8, 2021 | Dec 8, 2021 |
| Festività natalizie | Dec 24, 2021 | Jan 2, 2022 |
| Festa dell'Epifania | Jan 6, 2022 | Jan 6, 2022 |
| Festività pasquali | Apr 15, 2022 | Apr 19, 2022 |
| Festa della Liberazione | Apr 25, 2022 | Apr 25, 2022 |
| Festività Santo Patrono di Verona | May 21, 2022 | May 21, 2022 |
| Festa della Repubblica | Jun 2, 2022 | Jun 2, 2022 |
| Chiusura estiva | Aug 15, 2022 | Aug 20, 2022 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
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 enrolment year.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
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.
Human computer interaction (2021/2022)
The teaching is organized as follows:
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.
Bibliografia
Type D and Type F activities
Le attività formative di tipologia D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite. Dal 1° dicembre 2021 al 27 febbraio 2022 e dal 2 maggio 2022 al 15 luglio 2022, tramite il presente modulo gli studenti possono richiedere l'inserimento di attività didattiche in TAF D ed F che non possono inserire autonomamente nel proprio piano di studi tramite la procedura on-line.
COMPETENZE LINGUISTICHE - dal 1° ottobre 2021 (Delibera del Consiglio della Scuola di Scienze e Ingegneria del 30 marzo 2021) per gli immatricolati dall'A.A. 2021/2022
- Lingua inglese: vengono riconosciuti automaticamente 3 CFU per ogni livello di competenza superiore a quello richiesto dal corso di studio (se non già riconosciuto nel ciclo di studi precedente).
- Altre lingue e italiano per stranieri: vengono riconosciuti automaticamente 3 CFU per ogni livello di competenza a partire da A2 (se non già riconosciuto nel ciclo di studi precedente).
Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.
COMPETENZE TRASVERSALI
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Data Analysis for Biomedical Sciences | D |
Gloria Menegaz
(Coordinatore)
|
| 1° 2° | (click to insert) Introduction to Robotics to students of scientific courses. | D |
Paolo Fiorini
(Coordinatore)
|
| 1° 2° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | (click to insert) Introduction to Robotics to students of scientific courses. | D |
Paolo Fiorini
(Coordinatore)
|
| 1° 2° | Introduction to 3D printing | D |
Franco Fummi
(Coordinatore)
|
| 1° 2° | HW components design on FPGA | D |
Franco Fummi
(Coordinatore)
|
| 1° 2° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinatore)
|
| 1° 2° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Roberto Giacobazzi
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Python programming language | D | Not yet assigned |
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
Graduation
List of theses and work experience proposals
| theses proposals | Research area |
|---|---|
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
| Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |
| Domain Adaptation | Computing methodologies - Machine learning |
Gestione carriere
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.