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 1, 2014 Jan 30, 2015
II sem. Mar 2, 2015 Jun 12, 2015
Exam sessions
Session From To
Sessione straordinaria appelli d'esame Feb 2, 2015 Feb 27, 2015
Sessione estiva appelli d'esame Jun 15, 2015 Jul 31, 2015
Sessione autunnale appelli d'esame Sep 1, 2015 Sep 30, 2015
Degree sessions
Session From To
Sessione autunnale appello di laurea 2014 Nov 26, 2014 Nov 26, 2014
Sessione invernale appello di laurea 2015 Mar 18, 2015 Mar 18, 2015
Sessione estiva appello di laurea 2015 Jul 14, 2015 Jul 14, 2015
Sessione autunnale appello di laurea 2015 Nov 25, 2015 Nov 25, 2015
Sessione invernale appello di laurea 2016 Mar 16, 2016 Mar 16, 2016
Holidays
Period From To
Vacanze di Natale Dec 22, 2014 Jan 6, 2015
Vacanze di Pasqua Apr 2, 2015 Apr 7, 2015
Ricorrenza del Santo Patrono May 21, 2015 May 21, 2015
Vacanze estive Aug 10, 2015 Aug 16, 2015

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 L M O P Q S U

Belussi Alberto

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

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

Bonnici Vincenzo

symbol email vincenzo.bonnici@univr.it symbol phone-number +39 045 802 7045

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Carra Damiano

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

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

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

Drago Nicola

symbol email nicola.drago@univr.it symbol phone-number 045 802 7081

Fiorini Paolo

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

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

Gobbi Bruno

symbol email bruno.gobbi@univr.it

Gregorio Enrico

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

Lora Michele

symbol email michele.lora@univr.it symbol phone-number 0458027847

Marzola Pasquina

symbol email pasquina.marzola@univr.it symbol phone-number 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

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

Oliboni Barbara

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

Posenato Roberto

symbol email roberto.posenato@univr.it symbol phone-number +39 045 802 7967

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

Segala Roberto

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

Setti Francesco

symbol email francesco.setti@univr.it symbol phone-number +39 045 802 7804

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 8027940
UgoliniSimone

Ugolini Simone

symbol email simone.ugolini@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.

2° Year  activated in the A.Y. 2015/2016

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti

3° Year  activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
Prova finale
6
E
-
activated in the A.Y. 2015/2016
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
Prova finale
6
E
-

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

4S00005

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

I sem. dal Oct 3, 2016 al Jan 31, 2017.

Learning outcomes

The course covers standard principles and methods in theoretical computer science, notably in automata theory and computability.
The course aims at providing theoretical computer science and programming languages capabilities.
At the end of the course, the student will have to show: to know and understand advanced computer science notions; to be able to apply the acquired capabilities and knowledge for solving problems in its field of study; to be able to develop necessary expertise for affording the following studies with a sufficient degree of autonomy.

Program

The course requires the standard courses on Programming, Algorithms, Discrete mathematics and logic. It is introductory for the advanced courses in Complexity, Programming languages and Compilers, as well as for the courses in Security and Cryptography, Static Analysis and Protection, Artificial Intelligence, Automated Deduction, Semantics, Non-standard computational models.
The course is structured in two parts.

Automata and formal languages (28h):
Formal languages and grammars,
finite state automata and regular languages,
context-free languages, normal forms, Push-down automata,
Chomsky classification of formal languages.

Computability (34h):
intuitive notion of algorithm,
Turing analysis of computable functions, Turing machines and WHILE-programs,
Church thesis,
Goedelization, universality,
Theorem s-m-n, unsolvable problems and halting problem,
metaprogramming,
recursive and recursive enumerable sets,
Recursion theorems, Rice Theorem,
reducibility, complete, creative and productive sets.

Reference texts
Author Title Publishing house Year ISBN Notes
N. Jones Computability and Complexity MIT Press 1997
John E. Hopcroft, Rajeev Motwani, Jeffrey D. Ullman Introduction to Automata Theory, Languages and Computation (Edizione 2) Addison-Wesley 2000 0201441241
Michael Sipser Introduction to the Theory of Computation PWS 1997 053494728X
H. Rogers Theory of recursive functions and effective computability MIT Press 1988

Examination Methods

Written exam in 4 sessions, with intermediate evaluation. The exams are scheduled as follows: 1 intermediate (written) evaluation during the course, 1 exam in the Extraordinary Session at the end of the course, 1 exam in the Summer Session and 1 exams in the Fall Session. Each exam is split into two parts which can be passed separately and the whole evaluation is obtained as the mathematical average of the two evaluations. The exam is passed if the average evaluation is greater or equal to 18/30. Each evaluation remains valid for the whole current academic year.

Mandatory oral exam for evaluation greater than 26.

The task of the written exam consists in verifying the comprehension of course contents and the capability to apply these contents in the resolution of exercises in which students have to mainly classify languages (regular or context free) and sets (recursive theory and completeness) by using the formal proof tools provided in the course.
The task of the oral exam is that of verify an advanced comprehension of the course contents allowing a critic analysis and a reprocessing of the studied notions and results. This comprehension may be verified also by asking theorems and proofs.

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

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

For schedules, administrative requirements and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.

List of theses and work experience proposals

theses proposals Research area
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
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
BS or MS theses in automated reasoning Computing Methodologies - ARTIFICIAL INTELLIGENCE
Domain Adaptation Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Domain Adaptation Computing methodologies - Machine learning
Dati geografici Information Systems - INFORMATION SYSTEMS APPLICATIONS
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