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 |
|---|---|---|
| Semester 1 | Oct 2, 2023 | Jan 26, 2024 |
| Semester 2 | Mar 4, 2024 | Jun 14, 2024 |
| Session | From | To |
|---|---|---|
| Winter exam session | Jan 29, 2024 | Mar 1, 2024 |
| Summer exam session | Jun 17, 2024 | Jul 31, 2024 |
| Autumn exam session | Sep 2, 2024 | Sep 30, 2024 |
| Session | From | To |
|---|---|---|
| Summer graduation session | Jul 19, 2024 | Jul 19, 2024 |
| Autumn graduation session | Oct 21, 2024 | Oct 21, 2024 |
| Winter graduation session | Mar 26, 2025 | Mar 26, 2025 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2023 | Nov 1, 2023 |
| Festa dell'Immacolata | Dec 8, 2023 | Dec 8, 2023 |
| Vacanze di Natale | Dec 24, 2023 | Jan 7, 2024 |
| Festività pasquali | Mar 29, 2024 | Apr 1, 2024 |
| Ponte della Festa della Liberazione | Apr 25, 2024 | Apr 26, 2024 |
| Festa del Lavoro | May 1, 2024 | May 1, 2024 |
| Festività del Santo Patrono: San Zeno | May 21, 2024 | May 21, 2024 |
| Festa della Repubblica | Jun 2, 2024 | Jun 2, 2024 |
| Vacanze estive | Aug 12, 2024 | Aug 17, 2024 |
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 Enrollment FAQs
Academic staff
+39 045 802 7913
bernardo.calabrese@univr.it
ariel.caputo@univr.it
mila.dallapreda@univr.it
stefano.gatti@univr.it
pasquale.mirtuono@univr.it
diego.tilola@univr.it
claudio.tomazzoli@univr.it
rosamaria.vadala@univr.it
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
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 course among the following2 modules among the following (1st year: Knowledge representation, Natural language processing, HCI Intelligent interfaces - 2nd year: AI & Cloud, Visual intelligence, Statistical learning - 1st and 2nd year: Computer Vision & Deep Learning)2 modules among the following (1st year: Knowledge representation, Natural language processing, HCI Intelligent interfaces - 2nd year: AI & Cloud - 1st and 2nd year: Computer Vision & Deep learning)2 courses among the following (A.A. 2023/24: Complex systems and Network Science not activated)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.
HCI – Intelligent Interfaces (2023/2024)
Teaching code
4S010680
Credits
6
Language
English
Also offered in courses:
- Interazione Uomo Macchina - FUNDAMENTALS of the course Master's degree in Computer Engineering for Robotics and Smart Industry
- Interazione Uomo Macchina - ADVANCED INTERACTION of the course Master's degree in Computer Engineering for Robotics and Smart Industry
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Courses Single
Authorized
The teaching is organized as follows:
Advanced Interaction
Fundamentals
Learning objectives
The course aims to provide fundamental notions for the design and evaluation of interactive systems. The course will introduce basic concepts about usability and user experience, human factors, interaction paradigms, usability engineering and evaluation.
These concepts will be applied on standard and advanced interfaces with particular focus on natural interaction in Virtual and Mixed reality.
At the end of the course, the student will have to demonstrate knowledge and understanding of the basic principles of user-centered interaction design and will be able to apply them to the design of various types of computer interfaces.
He will be also able to develop prototypes of virtual / mixed reality applications, considering the specificities of the interaction and will 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 AI 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) design advanced AI-based interfaces design considering human factors
ii) Exploit HCI principles to make AI system understandable and design visualization tools for AI systems
iii) develop interactive 3D environments for usability analysis, training, interaction in mixed reality.
Prerequisites and basic notions
Basic knowledge of statistics and computer graphics
Program
Fundamentals of HCI Cognitive Aspects Humans, Vision and Color
Interaction design
Usability assessment: Data Collection and Data Analysis
Virtual Reality and Mixed Reality: Technologies, Cognitive and Human Aspects, Tracking and Rendering Solutions.
Lab: Prototyping and Prototype Evaluation with Unity
Bibliography
Didactic methods
Lectures and lab sessions
Learning assessment procedures
Oral exam and evaluation of lab activity
Evaluation criteria
To pass the exam, students must demonstrate that they:
- have understood the concepts underlying man-machine interaction and the design of interactive systems
- are able to present their arguments in a precise and organic way;
-know how to apply the acquired knowledge to solve practical problems of design and usability evaluation
Criteria for the composition of the final grade
50% oral 50% lab activity evaluation
Exam language
Inglese o Italiano
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability
Type D and Type F activities
Type D learning activities are the student's choice, type F activities are additional knowledge useful for job placement (internships, transversal skills, project works, etc.). According to the Teaching Regulations of the Course, some activities can be chosen and entered independently in the booklet, others must be approved by a special committee to verify their consistency with the study plan. Type D or F learning activities can be covered by the following activities.
1. Modules taught at the University of Verona
Include the modules listed below and/or in the Course Catalogue (which can also be filtered by language of delivery via Advanced Search).
Booklet entry mode: if the teaching is included among those listed below, the student can enter it independently during the period in which the curriculum is open; otherwise, the student must make a request to the Secretariat, sending the form to carriere.scienze@ateneo.univr.it during the period indicated.
2. CLA certificate or language equivalency
In addition to those required by the curriculum/study plan, the following are recognized for those matriculated from A.Y. 2021/2022:
- English language: 3 CFUs are recognized for each level of proficiency above that required by the course of study (if not already recognized in the previous course of study).
- Other languages and Italian for foreigners: 3 CFUs are recognized for each proficiency level starting from A2 (if not already recognized in the previous study cycle).
These CFUs will be recognized, up to a maximum of 6 CFUs in total, of type F if the study plan allows it, or of type D. Additional elective credits for language knowledge may be recognized only if consistent with the student's educational project and if adequately justified.
Those enrolled until A.Y. 2020/2021 should consult the information found here.
Method of inclusion in the booklet: request the certificate or equivalency from CLA and send it to the Student Secretariat - Careers for the inclusion of the exam in the career, by email: carriere.scienze@ateneo.univr.it
3. Transversal skills
Discover the training paths promoted by the University's TALC - Teaching and learning center intended for students regularly enrolled in the academic year of course delivery https://talc.univr.it/it/competenze-trasversali
Mode of inclusion in the booklet: the teaching is not expected to be included in the curriculum. Only upon obtaining the Open Badge will the booklet CFUs be automatically validated. The registration of CFUs in career is not instantaneous, but there will be some technical time to wait.
4. CONTAMINATION LAB
The Contamination Lab Verona (CLab Verona) is an experiential course with modules on innovation and enterprise culture that offers the opportunity to work in teams with students from all areas to solve challenges set by companies and organisations.
Upon completion of a CLab, students will be entitled to receive 6 CFU (D- or F-type credits).
Find out more: https://www.univr.it/clabverona
PLEASE NOTE: In order to be admitted to any teaching activities, including those of your choice, you must be enrolled in the academic year in which the activities in question are offered. Students who are about to graduate in the December and April sessions are therefore advised NOT to undertake extracurricular activities in the new academic year in which they are not enrolled, as these graduation sessions are valid for students enrolled in the previous academic year. Therefore, students who undertake an activity in an academic year in which they are not enrolled will not be granted CFU credits.
5. Internship/internship period
In addition to the CFUs stipulated in the curriculum/study plan (check carefully what is indicated on the Teaching Regulations): here information on how to activate the internship.
Check in the regulations which activities can be Type D and which can be Type F.
Modules and other activities that can be entered independently in the booklet
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Introduction to smart contract programming for ethereum | D |
Sara Migliorini
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Python programming language | D |
Carlo Combi
(Coordinator)
|
| 1° 2° | Programming Challanges | D |
Romeo Rizzi
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Cooperative Game Theory in the (Deep) RL Era | 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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Career management
Attendance modes and venues
As stated in the Teaching Regulations, attendance at the course of study is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.
Graduation
Deadlines and administrative fulfilments
For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.
Need to activate a thesis internship
For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.
Final examination regulations
The teaching activities related to the preparation of the final exam for the achievement of the degree and its verification consist of the preparation and discussion of a written paper in English (dissertation) related to the in-depth study of a scientific theme addressed in the course of studies, i.e. related to the analysis and solution of a case study (theoretical and/or directly derived from a problem of an industrial nature) or related to a work of an experimental type, which can also be developed within an internship course carried out at research institutions, schools, laboratories, and companies, or by taking advantage of study stays in Italy and abroad, or the result of autonomous and original research work, with related aspects of mathematical formalization, computer design, business-oriented realization. These activities may be carried out under the guidance of a supervisor at a university facility, or even outside the University of Verona, both in Italy and abroad, as long as it is recognized and accepted for this purpose in accordance with the Didactic Regulations of the Master's Degree Course in Artificial Intelligence. The CFUs assigned to the final examination (evaluation of the thesis) are 18. The committee in charge of the evaluation of the final exam (dissertation in English) is called to express an assessment that takes into account the entire course of study, carefully evaluating the degree of coherence between educational and professional objectives, as well as the candidate's capacity for autonomous intellectual elaboration, critical sense, communication skills, and general cultural maturity, in relation to the objectives of the Master's Degree course in Artificial Intelligence, and particular, in relation to the themes characterizing the dissertation.
Students may take the final examination only after they have fulfilled all other educational obligations set forth in their study plan and fulfillments at the administrative offices in accordance with the deadlines indicated in the general study manifesto.
The final evaluation and proclamation will be made by the final exam committee appointed by the chairperson of the teaching committee and composed of a chairperson and at least four other commissioners chosen from the faculty of the University.
The material submitted for the final examination is evaluated by the Thesis Evaluation Committee, composed of three faculty members, including possibly the thesis advisor, and appointed by the chair of the teaching college. The Thesis Evaluation Committee formulates an evaluation of the work done and forwards it to the final examination committee, which will make the final judgment.
The teaching committee shall regulate the procedures of thesis evaluation committees, final examination committees, and the scoring of the final examination by special regulations passed by the teaching committee.
