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
Sem. 1A Sep 23, 2024 Oct 31, 2024
Sem. 1B Nov 11, 2024 Dec 21, 2024
Sem. 2A Feb 17, 2025 Mar 29, 2025
Sem. 2B Apr 7, 2025 May 24, 2025
Exam sessions
Session From To
Sessione invernale Jan 7, 2025 Feb 15, 2025

Exam calendar

Exam dates and rounds are managed by the relevant Humanistic Studies 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

B E F G L M O P R S T

Badino Massimiliano

symbol email massimiliano.badino@univr.it symbol phone-number +39 045 802 8459

Bernini Lorenzo

symbol email lorenzo.bernini@univr.it symbol phone-number 045 802 8687

Bertolazzi Riccardo

symbol email riccardo.bertolazzi@univr.it

Bondì Davide

symbol email davide.bondi@univr.it symbol phone-number 045 8028389

Erle Giorgio

symbol email giorgio.erle@univr.it symbol phone-number +39 045802 8688

Fornari Giuseppe

symbol email giuseppe.fornari@univr.it symbol phone-number 045 8028053

Guaraldo Olivia

symbol email olivia.guaraldo@univr.it symbol phone-number +39 045802 8066

Leoni Federico

symbol email federico.leoni@univr.it symbol phone-number 0458028144

Macor Laura Anna

symbol email lauraanna.macor@univr.it symbol phone-number 045 802 8686

Moro Valentina

symbol email Valentina.Moro@univr.it symbol phone-number +39 045 802 8370

Mortari Luigina

symbol email luigina.mortari@univr.it symbol phone-number 045 802 8652

Ophaelders Markus Georg

symbol email markus.ophalders@univr.it symbol phone-number 045-8028732

Panattoni Riccardo

symbol email riccardo.panattoni@univr.it symbol phone-number +39 045 802 8185

Poggi Davide

symbol email davide.poggi@univr.it symbol phone-number +39 045802 8361

Pontrandolfo Stefania

symbol email stefania.pontrandolfo@univr.it

Rossi Mariaclara

symbol email mariaclara.rossi@univr.it symbol phone-number 045 802 8380

Salvo Irene

symbol email irene.salvo@univr.it symbol phone-number +39 045 802 8386

Stavru Alessandro

symbol email alessandro.stavru@univr.it symbol phone-number 045 8028143

Tuppini Tommaso

symbol email tommaso.tuppini@univr.it symbol phone-number 045 802 8142

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
12
B
M-FIL/03

2° Year  It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
Training
6
F
-
Final exam
18
E
-
ModulesCreditsTAFSSD
12
B
M-FIL/03
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Training
6
F
-
Final exam
18
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following
Between the years: 1°- 2°
3 modules among the following
Between the years: 1°- 2°
3 modules among the following
6
B
M-FIL/01
Between the years: 1°- 2°
2 modules among the following
Between the years: 1°- 2°
Foreing language (B1 if 2nd language, B2 if 2nd language)
6
F
-
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

4S012292

Credits

6

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

M-FIL/02 - LOGIC AND PHILOSOPHY OF SCIENCE

Period

Sem. 1B dal Nov 11, 2024 al Dec 21, 2024.

Courses Single

Authorized

Learning objectives

The course explores the relationships between the models of production, justification, and dissemination of knowledge and the development of artificial intelligence. From an educational perspective, the objective is twofold. On one hand, it will discuss how artificial intelligence represents the culmination of a computational representation of knowledge and cognition that has found in the modern digital computer a model of the human mind. On the other hand, it will show that artificial intelligence raises fundamental epistemological problems regarding the type of knowledge produced, the forms of its justification, and its impact on the social structure of scientific research. 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.

Prerequisites and basic notions

The course requires knowledge of the fundamental concepts of the philosophy of science and the philosophy of mind. No prior knowledge of computer science or artificial intelligence is required. To facilitate the learning of the more conceptually challenging parts, in-depth videos will be provided.

Program

The course aims to explore some the assumptions and philosophical consequences of artificial intelligence for the production of knowledge and the social and political application of technology.
The course program is divided into three parts.
The first part introduces some philosophical preliminaries to the understanding of artificial intelligence: the concept of probability, the problem of induction, the notion of cognition and the problem of statistical inference.
The second part will deal with the epistemological problems of machine learning and data science: the concept of data, the inferential notion of learning, statistical learning theory, logical approach vs. connectionism.
The third part will deal with the social, cultural and political consequences of artificial intelligence, with special reference to generative artificial intelligence.

Bibliography

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 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% Essay (2000-5000 words)
- 25% In-class presentation

Exam language

Italian and English

Type D and Type F activities

Modules not yet included

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.

Competenze linguistiche

I crediti formativi universitari relativi alle "Ulteriori competenze linguistiche" (B1 informatizzato se seconda lingua; livello B2 completo se stessa lingua della triennale) possono essere acquisiti in una delle due seguenti modalità:

  • iscrizione da parte della/o studente presso il Centro Linguistico di Ateneo (CLA ➔ https://cla.univr.it/it/test-e-certificazioni) per il sostenimento e il superamento delle prove + iscrizione, sempre da parte della/o studente, in apposita lista per la registrazione crediti e registrazione CFU (senza presenza) da parte dell’Università.

Oppure


Gestione carriere


Linguistic training CLA


Internships


Graduation

Documents

List of thesis proposals

theses proposals Research area
Linguaggio e mito in Tolkien ENGLISH LITERATURE - Critical Theory & Poetics
Dialettica del negativo in Meister Eckhart HISTORY OF PHILOSOPHY - MIDDLE AGES
La felicità nel Medioevo HISTORY OF PHILOSOPHY - MIDDLE AGES
Le figure di Eva e Maria in Ildegarda di Bingen HISTORY OF PHILOSOPHY - MIDDLE AGES
IA. Una critica fenomenologica al concetto di Intelligenza Artificiale The Human Mind and Its Complexity: Cognitive science, psychology, linguistics, philosophy of mind - Philosophy of science, epistemology and logic

Practical information for students

Documents

Title Info File
File pdf 1 - Guida per lo studente - AGGIORNAMENTO 2022 pdf, it, 325 KB, 16/07/24
File pdf 2 - Guida per lo studente - AGGIORNAMENTO 2020 pdf, it, 212 KB, 02/05/23
File pdf 3 - Guida per lo studente - AGGIORNAMENTO 2013 pdf, it, 131 KB, 02/05/23

Student mentoring


Student login and resources


Activities

This web page aims to publicise, in a direct and targeted way, the activities (conferences, seminars, books presentations, etc.) promoted by the Master's Degree in Philosophical Sciences of the UniVr or pertaining to the same, in so far as they are linked to the themes and the teachers of the two-year Master's Degree.