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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
Semester 1 Oct 2, 2023 Jan 26, 2024
Semester 2 Mar 4, 2024 Jun 14, 2024
Exam sessions
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
Degree sessions
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.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff


Albi Giacomo

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Badino Massimiliano

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Bombieri Nicola

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Bonacina Maria Paola

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Boscolo Galazzo Ilaria

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Calabrese Bernardo

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Caputo Ariel

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Carra Damiano

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Castellini Alberto

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Cicalese Ferdinando

symbol email symbol phone-number +39 045 802 7969

Combi Carlo

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Cristani Matteo

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Cristani Marco

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Dalla Preda Mila

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D'Asaro Fabio Aurelio

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Di Persio Luca

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Di Pierro Alessandra

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Farinelli Alessandro

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Ferrari Fabio

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Fummi Franco

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Gatti Stefano

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Giachetti Andrea

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Meli Daniele

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Menegaz Gloria

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Migliorini Sara

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Mirtuono Pasquale

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Murino Vittorio

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Peruzzi Marco

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Rizzi Romeo

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Sala Pietro

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Setti Francesco

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Svaluto Ferro Sara

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Tilola Diego

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Tomazzoli Claudio

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Torsello Marco

symbol email symbol phone-number +39 045 8425381

Troiano Stefano

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Vadala' Rosa Maria

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Zorzi Margherita

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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.

2° Year  It will be activated in the A.Y. 2024/2025

Final exam
It will be activated in the A.Y. 2024/2025
Final exam
Modules Credits TAF SSD
Between the years: 1°- 2°
2 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)
Between the years: 1°- 2°
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)
Between the years: 1°- 2°
2 courses among the following (A.A. 2023/24: Complex systems and Network Science not activated)
INF/01 ,ING-INF/05
Between the years: 1°- 2°
Further activities: 3 CFU training and 3 CFU further language skill or 6 CFU training. International students (i.e. students who do not have an Italian bachelor’s degree) must compulsorily gain 3 CFU of Italian language skills (at least A2 level) and 3 CFU training.
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





English en

Scientific Disciplinary Sector (SSD)



Semester 1 dal Oct 2, 2023 al Jan 26, 2024.

Courses Single


Learning objectives

Epistemology and Philosophy of Science The course is an introduction to the Contemporary Philosophy of Science, with the aim of highlighting the most meaningful moments in the development of the Science and the philosophical issues which are involved in. Expected outcomes: i) to be able to critically examine the fundamental assumptions of Positivism, the relationship between the twentieth century “linguistic turn” of Philosophy and the Philosophy of Science and, finally, the implications of the sociological methodology when applied to epistemological subjects, in order ii) to understand the conceptual grounds of the Philosophy of Science (i.e., realism, objectivity, experimental evidence, limits of validity, etc.); iii) to master the Epistemological lexicon; iv) to actively participate in the debates concerning developments (even the most recent ones) in the field of the Philosophy of Science.

Examination methods

To pass the exam, students must demonstrate:
- to have understood the principles underlying the philosophy of science and computational thinking
- to be able to present their arguments in a precise and organic way on the topics of the course, without digressions
- to know how to apply the acquired knowledge to solve application problems presented in the form of exercises, questions and projects.

Prerequisites and basic notions

The course does not require preliminary philosophical knowledge. The relevant philosophical concepts and theories will be explained as the course goes on.


The Computational Philosophy and Philosophy of Science course aims to delve into the importance of the computational turn for the philosophy of science and the impact of artificial intelligence on society.
The course program is divided into two parts.
The first part deals with the concept of computation and explores the following topics:
- The computational turn in the philosophy of science
- The problem of computation and the logical conception of programming
- The impact of machine learning and big data
The second part discusses the consequences of artificial intelligence on scientific practice, society, and politics. The lectures will cover the following topics:
- The problem of bias and stereotypes
- Surveillance and autonomy
- Explainability and fairness.


Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The course will be conducted using two main modalities: (1) traditional lectures and (2) seminar presentations. The lectures will be held in person and will not be streamed or recorded. Dedicated videos will be made available for: (1) explaining the examination procedures and grading, and (2) delving into specific parts of the course and important concepts. Although these videos are primarily intended as study support for non-attending students, attending students can also make use of them.

Learning assessment procedures

The final evaluation aims to determine not only the possession of knowledge but also the candidates' ability to argue correctly, to appropriately use the concepts and tools of the philosophy of science, and their creativity. The grade is obtained based on active participation in the seminar part, a paper (2000-5000 words) on a relevant topic related to the course, to be agreed upon with the instructor, and an oral examination according to the following proportions:
* 35% Oral examination
* 40% Paper (2000-5000 words)
* 25% In-class presentation
The in-class presentation on a topic to be agreed upon with the instructor can also be done in a small group (maximum 3 people).

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

Evaluation criteria

The main assessment criteria are: (1) conceptual competence and (2) linguistic competence. Students will also find an evalutation rubric to help them compose the assignments.

Criteria for the composition of the final grade

* 35% Oral examination
* 40% Paper (2000-5000 words)
* 25% In-class presentation

Exam language


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 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:

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

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.  


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: 

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

Semester 1 From 10/2/23 To 1/26/24
years Modules TAF Teacher
1° 2° Introduction to smart contract programming for ethereum D Sara Migliorini (Coordinator)
Semester 2 From 3/4/24 To 6/14/24
years Modules TAF Teacher
1° 2° Python programming language D Carlo Combi (Coordinator)
1° 2° Programming Challanges D Romeo Rizzi (Coordinator)

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 soon also via the Univr app.

Career management


As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.


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.

Student login and resources

Erasmus+ and other experiences abroad