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
I sem. Oct 2, 2017 Jan 31, 2018
II sem. Mar 1, 2018 Jun 15, 2018
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2018 Feb 28, 2018
Sessione estiva d'esame Jun 18, 2018 Jul 31, 2018
Sessione autunnale d'esame Sep 3, 2018 Sep 28, 2018
Degree sessions
Session From To
Sessione Estiva Lauree Magistrali Jul 19, 2018 Jul 19, 2018
Sessione Autunnale Lauree Magistrali Oct 18, 2018 Oct 18, 2018
Sessione Invernale Lauree Magistrali Mar 21, 2019 Mar 21, 2019
Holidays
Period From To
Christmas break Dec 22, 2017 Jan 7, 2018
Easter break Mar 30, 2018 Apr 3, 2018
Patron Saint Day May 21, 2018 May 21, 2018
Vacanze estive Aug 6, 2018 Aug 19, 2018

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 V

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980
Foto,  February 9, 2017

Bloisi Domenico Daniele

symbol email domenico.bloisi@univr.it

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

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Busato Federico

symbol email federico.busato@univr.it

Calanca Andrea

symbol email andrea.calanca@univr.it symbol phone-number +39 045 802 7847

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

Cicalese Ferdinando

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

Cristani Matteo

symbol email matteo.cristani@univr.it symbol phone-number 045 802 7983

Cristani Marco

symbol email marco.cristani@univr.it symbol phone-number +39 045 802 7841

Cubico Serena

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

Dalla Preda Mila

symbol email mila.dallapreda@univr.it

Farinelli Alessandro

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

Favretto Giuseppe

symbol email giuseppe.favretto@univr.it symbol phone-number +39 045 802 8749 - 8748

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963

Franco Giuditta

symbol email giuditta.franco@univr.it symbol phone-number +39 045 802 7045

Fummi Franco

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

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998

Giacobazzi Roberto

symbol email roberto.giacobazzi@univr.it symbol phone-number +39 045 802 7995

Manca Vincenzo

symbol email vincenzo.manca@univr.it symbol phone-number 045 802 7981

Maris Bogdan Mihai

symbol email bogdan.maris@univr.it symbol phone-number +39 045 802 7074

Masini Andrea

symbol email andrea.masini@univr.it symbol phone-number 045 802 7922

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +390458027089

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Merro Massimo

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

Muradore Riccardo

symbol email riccardo.muradore@univr.it symbol phone-number +39 045 802 7835

Oliboni Barbara

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

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 8027088

Romeo Alessandro

symbol email alessandro.romeo@univr.it symbol phone-number +39 045 802 7936; Lab: +39 045 802 7808

Segala Roberto

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

Villa Tiziano

symbol email tiziano.villa@univr.it symbol phone-number +39 045 802 7034

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:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
ING-INF/05
12
B
ING-INF/05

2° Year   activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Other activitites
4
F
-
Final exam
24
E
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Other activitites
4
F
-
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°2 courses to be chosen among the following
6
C
INF/01
6
C
INF/01
6
C
INF/01
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

4S02793

Coordinator

Matteo Cristani

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II sem. dal Mar 1, 2018 al Jun 15, 2018.

Learning outcomes

The course’s purpose is to provide the fundamental concepts of knowledge representation both respect to the abstract problem of defining a domain ontology and to the problem of indexing documental domains. Specifically, both logical techniques and machine learning techniques for classification and analysis of documents.

At the end of the course the student shall have acquired knowledge bunches on knowledge representation and its applications, and also shall be comfortable with the technical aspects of statistical natural language processing, understanding and connecting both aforementioned aspects while relating them to document repositories, especially the world wide web.

These bunches of knowledge shall habilitate the student in: i) building formal ontologies; ii) managing ontology alignement; iii) managing document retrieval with indices based on text content; iv) using formal methods for text analysis while combining these with automated reasoning techniques.

At the end of the course the student will be able to: i) presenting a conceptual semantic analysis, describing the process that leads a domain expert to the delivery of information needed by the knowledge engineer to deliver a formal ontology describing the interest domain; ii) going further, potentially autonomously, study and research in the field of semantic technologies in several different application fields.

Program

1. Elements of Logic
a. Propositional languages
b. First order languages
c. Second order Languages
2. Introduction to computational logic
a. Reasoning tasks
b. Subsumption, satisfiability, consistency, disjointness
3. Structural description logic
a. The FL- language
i. Syntax
ii. Semantics
b. The AL Logic
i. Syntax and semantics
ii. Structural subsumption algorithm
c. ALU, ALE
d. ALN
4. Propositional description logics
a. ALC, ALCN
i. Syntax and semantics
ii. Tableau for ALCN
b. ALCI
c. ALCQIreg
i. Tableau inapplicability
ii. Two-ways alternate automata on infinite trees
5. Description logic systems
a. Protegè/OWL
6. Natural Language Processing
7. Social network analysis and techniques of social network mining

Reference texts
Author Title Publishing house Year ISBN Notes
Franz Baader, Diego Calvanese, Deborah McGuinness, Daniele Nardi, Peter Patel-Schneider The Description Logic Handbook Theory, Implementation and Applications (Edizione 1) Cambridge University Press 2003 0521781760

Examination Methods

The exam consists in the preparation of a homework, in the oral discussion of that with further theoretical questions.

The homework shall consist in the implementation of one of the techniques presented in the lectures, particularly one of the following:

- ontology-driven social network crawling;
- ontology-based text analysis.

First part of the oral exam will detail the modalities of abstract solving and implementation on the chosen problem, that will be agreed with each student individually. Behind this, questions will be posed on discipline contents presented in class and discusses in the textbook.

Evaluation of the homework will consider:

- quality of the implemented solution, relatively to the complexity of the problem, with the regular parameters of effectiveness and efficiency in the field of algorithm theory;
- specific usage of formal ontologies, its formalization and complexity, quality in the adoption of design standards with respect to the current methodologies of domain ontology design;
- complexity of the implemented ontology in OWL-DL and its quality, relevance with respect to the implemented technique.

The oral evaluation will consider:

- completeness in answering to questions related to homework;
- competence on the themes specified in the Course Syllabus;
- correctness and amplitude of the answers to the questions.

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

Type D and Type F activities

Documents and news

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 soon 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 theses and work experience 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

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.


Career management


Student login and resources


Erasmus+ and other experiences abroad