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 1, 2024 Jan 31, 2025
Semester 2 Mar 3, 2025 Jun 13, 2025
Exam sessions
Session From To
Winter exam session Feb 3, 2025 Feb 28, 2025
Summer exam session Jun 16, 2025 Jul 31, 2025
Autumn exam session Sep 1, 2025 Sep 30, 2025
Degree sessions
Session From To
Sessione di laurea estiva Jul 17, 2025 Jul 17, 2025
Sessione di laurea autunnale Oct 21, 2025 Oct 21, 2025
Sessione di laurea invernale Mar 27, 2026 Mar 27, 2026
Holidays
Period From To
Tutti i Santi Nov 1, 2024 Nov 1, 2024
Festa dell'Immacolata Dec 8, 2024 Dec 8, 2024
Vacanze di Natale Dec 23, 2024 Jan 6, 2025
Vacanze di Pasqua Apr 18, 2025 Apr 21, 2025
Festa della Liberazione Apr 25, 2025 Apr 25, 2025
Festa del Lavoro May 1, 2025 May 1, 2025
Festa del Santo Patrono May 21, 2025 May 21, 2025
Festa della Repubblica Jun 2, 2025 Jun 2, 2025
Vacanze estive Aug 11, 2025 Aug 16, 2025

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

B C D F G M O P Q R S T Z

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980

Beyan Cigdem

symbol email cigdem.beyan@univr.it symbol phone-number +39 045 802 7973

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

Bonacina Maria Paola

symbol email mariapaola.bonacina@univr.it symbol phone-number +39 045 802 7046

Carra Damiano

symbol email damiano.carra@univr.it symbol phone-number +39 045 802 7059

Castellani Umberto

symbol email umberto.castellani@univr.it symbol phone-number +39 045 802 7988

Ceccato Mariano

symbol email mariano.ceccato@univr.it

Cicalese Ferdinando

symbol email ferdinando.cicalese@univr.it symbol phone-number +39 045 802 7969

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +39 045 802 7985

Cubico Serena

symbol email serena.cubico@univr.it symbol phone-number 045 802 8132

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Dalla Preda Mila

symbol email mila.dallapreda@univr.it

Di Pierro Alessandra

symbol email alessandra.dipierro@univr.it symbol phone-number +39 045 802 7971

Farinelli Alessandro

symbol email alessandro.farinelli@univr.it symbol phone-number +39 045 802 7842

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number +39 045 802 7937

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +39 045 802 7089

Merro Massimo

symbol email massimo.merro@univr.it symbol phone-number +39 045 802 7992

Migliorini Sara

symbol email sara.migliorini@univr.it symbol phone-number +39 045 802 7908

Murino Vittorio

symbol email vittorio.murino@univr.it symbol phone-number +39 045 802 7996

Oliboni Barbara

symbol email barbara.oliboni@univr.it symbol phone-number +39 045 802 7077

Paci Federica Maria Francesca

symbol email federicamariafrancesca.paci@univr.it symbol phone-number +39 045 802 7909

Pianezzi Daniela

symbol email daniela.pianezzi@univr.it

Posenato Roberto

symbol email roberto.posenato@univr.it

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811

Rizzi Romeo

symbol email romeo.rizzi@univr.it symbol phone-number +39 045 802 7088

Sala Pietro

symbol email pietro.sala@univr.it symbol phone-number +39 045 802 7850

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number +39 045 802 7997

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it

Zorzi Margherita

symbol email margherita.zorzi@univr.it symbol phone-number +39 045 802 7045

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.

CURRICULUM TIPO:

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

ModulesCreditsTAFSSD
Final exam
24
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Further activities
3
F
-
Between the years: 1°- 2°
English B2
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

4S008895

Credits

12

Coordinator

Massimo Merro

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Courses Single

Authorized

The teaching is organized as follows:

Teoria

Credits

10

Period

Semester 1

Laboratorio

Credits

2

Period

Semester 1

Academic staff

Massimo Merro

Learning objectives

The course aims at providing the theoretical basis of programming languages ​​belonging to three different programming paradigms: imperative, functional and concurrent. In particular, the following issues are addressed: (i) techniques for the definition of formal syntax and semantics, (ii) logics for expressing formal properties of good behavior of programs, (iii) tools for static analysis of programs, (iv ) notions of behavioral equivalences between programs. At the end of the course, the student will be able to formally define a new programming language, also in a research context, through syntax, formal semantics and type systems for the static analysis of the correctness of programs written in the language. It will also be able to express programs' good behavior properties through logical languages. This knowledge will allow the student to: i) formally prove correctness properties of an arbitrary semantics using different induction techniques; ii) formally prove if a program satisfies a certain good behavior property; iii) formally prove the correctness of a type system; iv) master semantic behavioral equivalences in order to compare the behavior, at run time, of two different programs. At the end of the course, the student will be able to: i) compare different languages ​​and choose the most suitable one according to the context of use and make the most appropriate design choices when defining a new language; ii) continue studies in the programming languages ​​and software development independently.

Prerequisites and basic notions

Knowledge of at least one programming language, fundamentals of mathematical logic.

Program

First part.
• Introduction. Transition systems. The idea of structural operational semantics. Transition semantics of a simple imperative language. Language design options. Exercises.
• Types. Introduction to formal type systems. Typing for the simple imperative language. Statements of desirable properties.
• Induction. Review of mathematical induction. Abstract syntax trees and structural induction. Rule-based inductive definitions and proofs. Proofs of type safety properties. Exercises.
• Functions. Call-by-name and call-by-value function application, semantics and typing. Local recursive definitions. Exercises.
• Data. Semantics and typing for products, sums, records, references. Exercises.
• Subtyping. Record subtyping, function subtyping and simple object encoding. Exercises.
• Semantic equivalence. Semantic equivalence of phrases in a simple imperative language, including the congruence property. Examples of equivalence and non-equivalence. Exercises.
• Concurrency. Shared variable interleaving. Semantics for simple mutexes; a serializability property. Semantic equivalence for concurrent languages. Exercises.
Second part.
• Order, lattices, relations, fix-point theorems. Exercises.
• Denotational Semantics of an imperative language. Exercises.
• Program properties and specification languages (examples). Exercises.
• Hoare Logic (completeness & incompleteness of Hoare Logic), partial/total correctness. Exercises.
• Decidability, safety, liveness, security. Exercises.
• Trace semantics — Kripke structures. Exercises.
• Elements of Temporal Logic. Exercises.

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

Lectures and laboratory in the presence

Learning assessment procedures

The exam consists of a written test containing exercises together with a small project. The correct conduct of all exercises allows for a 30/30 vote.

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

To pass the exam the student must show:
• to be able to define the operational semantics, denotational semantics, and type systems for some simple imperative, functional and interactive program language;
• to be able to prove properties of an operational semantics using various forms of induction (mathematical, structural, and rule-based);
• to be familiar with some operationally-based notions of semantic equivalence of program phrases and their basic properties.

Criteria for the composition of the final grade

The final grade is calculated as an average weighted on the CFU corresponding to the three modules of the course.

Exam language

Italiano

Type D and Type F activities

Le attività formative di tipologia D sono a scelta dello studente, quelle di tipologia F sono ulteriori conoscenze utili all’inserimento nel mondo del lavoro (tirocini, competenze trasversali, project works, ecc.). In base al Regolamento Didattico del Corso, alcune attività possono essere scelte e inserite autonomamente a libretto, altre devono essere approvate da apposita commissione per verificarne la coerenza con il piano di studio. Le attività formative di tipologia D o F possono essere ricoperte dalle seguenti attività.

1. Insegnamenti impartiti presso l'Università di Verona

Comprendono gli insegnamenti sotto riportati e/o nel Catalogo degli insegnamenti (che può essere filtrato anche per lingua di erogazione tramite la Ricerca avanzata).

Modalità di inserimento a libretto: se l'insegnamento è compreso tra quelli sottoelencati, lo studente può inserirlo autonomamente durante il periodo in cui il piano di studi è aperto; in caso contrario, lo studente deve fare richiesta alla Segreteria, inviando a carriere.scienze@ateneo.univr.it il modulo nel periodo indicato.

2. Attestato o equipollenza linguistica CLA

Oltre a quelle richieste dal piano di studi, per gli immatricolati dall'A.A. 2021/2022 vengono riconosciute:

  • Lingua inglese: vengono riconosciuti 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 3 CFU per ogni livello di competenza a partire da A2 (se non già riconosciuto nel ciclo di studi precedente).

Tali cfu saranno riconosciuti, fino ad un massimo di 6 cfu complessivi, di tipologia F se il piano didattico lo consente, oppure di tipologia D. Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.

Gli immatricolati fino all'A.A. 2020/2021 devono consultare le informazioni che si trovano qui.

Modalità di inserimento a librettorichiedere l’attestato o l'equipollenza al CLA e inviarlo alla Segreteria Studenti - Carriere per l’inserimento dell’esame in carriera, tramite mail: carriere.scienze@ateneo.univr.it

3. Competenze trasversali

Scopri i percorsi formativi promossi dal TALC - Teaching and learning center dell'Ateneo, destinati agli studenti regolarmente iscritti all'anno accademico di erogazione del corso https://talc.univr.it/it/competenze-trasversali

Modalità di inserimento a libretto: non è previsto l'inserimento dell'insegnamento nel piano di studi. Solo in seguito all'ottenimento dell'Open Badge verranno automaticamente convalidati i CFU a libretto. La registrazione dei CFU in carriera non è istantanea, ma ci saranno da attendere dei tempi tecnici.  

4. Contamination lab

Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/clabverona

ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

5. Periodo di stage/tirocinio

Oltre ai CFU previsti dal piano di studi (verificare attentamente quanto indicato sul Regolamento Didatticoqui sono riportate le informazioni su come attivare lo stage. 

Verificare nel regolamento quali attività possono essere di tipologia D e quali di tipologia F.

Si ricorda, inoltre, che per i tirocini attivati dal 1 ottobre 2024 sarà possibile riconoscere le ore eccedenti in termini di crediti di tipologia D limitatamente alle sole esperienze di tirocinio svolte presso enti ospitanti esterni all’Ateneo.

Insegnamenti e altre attività che si possono inserire autonomamente a libretto valide per l'a.a. 2024/25

 

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.

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

List of thesis proposals

theses proposals Research area
Analisi ed identificazione automatica del tono/volume della voce AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Analisi e percezione dei segnali biometrici per l'interazione con robot AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Integrazione del simulatore del robot Nao con Oculus Rift AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
BS or MS theses in automated reasoning Computing Methodologies - ARTIFICIAL INTELLIGENCE
Sviluppo sistemi di scansione 3D Computing Methodologies - COMPUTER GRAPHICS
Sviluppo sistemi di scansione 3D Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Dati geografici Information Systems - INFORMATION SYSTEMS APPLICATIONS
Analisi ed identificazione automatica del tono/volume della voce Robotics - Robotics
Analisi e percezione dei segnali biometrici per l'interazione con robot Robotics - Robotics
Integrazione del simulatore del robot Nao con Oculus Rift Robotics - Robotics
BS or MS theses in automated reasoning Theory of computation - Logic
BS or MS theses in automated reasoning Theory of computation - Semantics and reasoning
Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata Various topics
Proposte di Tesi/Stage/Progetto nell'ambito dell'analisi dei dati Various topics

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.

 


Career management


Student login and resources


Erasmus+ and other experiences abroad


Tutoring faculty members