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..

Academic year:
Definition of lesson periods
Period From To
1° Q - 2° anno e successivi Sep 27, 2004 Nov 26, 2004
2° Q Jan 10, 2005 Mar 11, 2005
3° Q Apr 11, 2005 Jun 10, 2005
Exam sessions
Session From To
1st exam session Dec 6, 2004 Dec 17, 2004
2nd exam session Mar 21, 2005 Apr 8, 2005
Summer term Jun 20, 2005 Jul 15, 2005
Autumn term Sep 5, 2005 Sep 30, 2005
Degree sessions
Session From To
Extra term Dec 15, 2004 Dec 15, 2004
Winter term Mar 15, 2005 Mar 15, 2005
Summer term Jul 20, 2005 Jul 20, 2005
Autumn term Sep 21, 2005 Sep 21, 2005
Holidays
Period From To
All Saints Day Nov 1, 2004 Nov 1, 2004
Immaculate Conception Day Dec 8, 2004 Dec 8, 2004
Christmas holidays Dec 22, 2004 Jan 6, 2005
Easter holidays Mar 24, 2005 Mar 29, 2005
Labour Day May 1, 2005 May 1, 2005
Patron Saint's Day S. Zeno May 21, 2005 May 21, 2005
The Day of the Republic Jun 2, 2005 Jun 2, 2005
Summer holidays Jul 25, 2005 Aug 31, 2005

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 Enrolment FAQs

Academic staff

B C D F G M O P Q S

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980

Bonacina Maria Paola

mariapaola.bonacina@univr.it +39 045 802 7046

Cristani Matteo

matteo.cristani@univr.it 045 802 7983

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

De Marchi Stefano

stefano.demarchi@univr.it 045 8027978

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Fusiello Andrea

nome.cognome[at]uniud.it

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Manca Vincenzo

vincenzo.manca@univr.it 045 802 7981

Mariotto Gino

gino.mariotto@univr.it +39 045 8027031

Masini Andrea

andrea.masini@univr.it 045 802 7922

Mastroeni Isabella

isabella.mastroeni@univr.it +39 045 802 7089

Monti Francesca

francesca.monti@univr.it 045 802 7910

Morato Laura Maria

laura.morato@univr.it 045 802 7904

Murino Vittorio

vittorio.murino@univr.it 045 802 7996

Oliboni Barbara

barbara.oliboni@univr.it +39 045 802 7077

Orlandi Giandomenico

giandomenico.orlandi at univr.it 045 802 7986

Pica Angelo

angelo.pica@univr.it

Posenato Roberto

roberto.posenato@univr.it +39 045 802 7967

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

Segala Roberto

roberto.segala@univr.it 045 802 7997

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 enrolment year.

ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
Attività tipo F (laurea specialistica)
6
F
-
Prova finale (laurea specialistica)
24
E
-

1° Year

ModulesCreditsTAFSSD

2° Year

ModulesCreditsTAFSSD

3° Year

ModulesCreditsTAFSSD

4° Year

ModulesCreditsTAFSSD

5° Year

ModulesCreditsTAFSSD
Attività tipo F (laurea specialistica)
6
F
-
Prova finale (laurea specialistica)
24
E
-
Modules Credits TAF SSD
Between the years: 4°- 5°Sette insegnamenti a scelta tra le seguenti discipline informatiche caratterizzanti
5
A/B
INF/01
5
A/B
INF/01
Between the years: 4°- 5°Un insegnamento a scelta tra le seguenti discipline fisiche affini
Between the years: 4°- 5°Un insegnamento nell'ambito affine Interdisciplinarità e applicazioni
5
C
ING-INF/04
5
C
ING-INF/04
Between the years: 4°- 5°Due insegnamenti a scelta tra i seguenti

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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S00075

Credits

5

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

1° Q dal Oct 3, 2007 al Dec 4, 2007.

Learning outcomes

The class introduces the student to the field of Artificial Intelligence, presenting its problems, concepts and basic methods. After learning the general framework of automated problem solving with search, one studies problems and techniques of Artificial Intelligence in selected areas, such as constraint problem solving, games, planning, automated reasoning and machine learning. After the class the student is ready to work on an MS thesis in Artificial Intelligence.

Program

Methods of artificial intelligence: problem solving as search in a state space; un-informed search procedures; informed search procedures and heuristic search. Constraint problem solving. Adversarial problems: games. Knowledge Representation: usage of logics (e.g., propositional, first-order) to represent knowledge. Automated reasoning in propositional logic: the Davis-Putnam-Logemann-Loveland procedure. Automated reasoning in first-order logic: forward and backward reasoning; resolution. Planning. Machine learning.

Reference texts
Author Title Publishing house Year ISBN Notes
Elaine Rich, Kevin Knight Artificial Intelligence (Edizione 2) McGraw Hill 1991 0070522634 Altro libro di riferimento per intelligenza artificiale.
Stuart Russell, Peter Norvig Artificial Intelligence: A Modern Approach (Edizione 2) Prentice Hall 2003 0137903952 In alternativa al testo adottato.
David Poole, Alan Mackworth, Randy Goebel Computational Intelligence -- A logical approach (Edizione 1) Oxford University Press 1998 0195102703 Altro libro di riferimento per intelligenza artificiale.
Klaus Truemper Design of Logic-based Intelligent Systems (Edizione 1) John Wiley and Sons 2004 0471484032 Altro libro di riferimento per intelligenza artificiale.
Judea Pearl Heuristics: Intelligent search strategies for computer problem solving (Edizione 1) Addison Wesley 1985 0-201-0559 Altro libro di riferimento per tecniche di ricerca.
Stuart Russell, Peter Norvig Intelligenza artificiale: Un approccio moderno (Edizione 2) Pearson Education Italia 2005 88-7192-22 Testo adottato.

Examination Methods

Partial-tests mode:
this mode applies only to the first exam session after the end of the class, that for the December session, since the class is offered in the Fall term. The exam consists of a written test (C) and an individual programming project (P) to be developed at home or in the lab during the class; the final grade is given by: 50% C + 50% P; after the December session, partial tests have no value whatsoever.

Single-test mode:
in this mode, the exam consists of a single written test (E), whose difficulty is such to match that of C + P, and whose grade alone determines the final grade. This mode applies to all sessions including the first one after the end of the class. However, the student who takes the test E in the December session loses the grade matured with 50% C + 50% P.

Notes: written test C (partial test) will be held in the same date, time and place as test E of the December session (of course, contents and duration of C and E will be different).

Registration: for each session, the date of the exam is the date of the written test E and it is sufficient to register for that date. Students are not allowed to "reject" the grade and all grades will be registered. Students dissatisfied with their performance may withdraw: in order to withdraw it is sufficient not to hand-in E or C.

Rules: it is strictly forbidden to copy, exchange or share code or keys to the questions. All coursework showing signs of cheating will receive grade 0 with no distinction between those who copy and those who let copy.

Bibliography

Type D and Type F activities

Academic year:

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.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.