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.

A.A. 2007/2008

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 Oct 3, 2007 Dec 4, 2007
2° Q Jan 10, 2008 Mar 12, 2008
3° Q Apr 7, 2008 Jun 13, 2008
Exam sessions
Session From To
I Sessione esami Dec 10, 2007 Jan 9, 2008
II Sessione esami Mar 17, 2008 Apr 4, 2008
Sessione estiva Jun 23, 2008 Jul 31, 2008
Sessione autunnale Sep 1, 2008 Sep 26, 2008
Degree sessions
Session From To
Sessione straordinaria Dec 12, 2007 Dec 12, 2007
Sessione invernale Mar 13, 2008 Mar 13, 2008
Sessione estiva Jul 15, 2008 Jul 15, 2008
Sessione autunnale Oct 3, 2008 Oct 3, 2008
Period From To
Festa di Ognissanti Nov 1, 2007 Nov 1, 2007
Festa dell'Immacolata Concezione Dec 8, 2007 Dec 8, 2007
Vacanze di Natale Dec 21, 2007 Jan 6, 2008
Vacanze di Pasqua Mar 21, 2008 Mar 25, 2008
Festa della Liberazione Apr 25, 2008 Apr 25, 2008
Festa del Lavoro May 1, 2008 May 1, 2008
Festa del Santo Patrono May 21, 2008 May 21, 2008
Festa della Repubblica Jun 2, 2008 Jun 2, 2008
Vacaze estive Jul 31, 2008 Aug 31, 2008

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


Belussi Alberto +39 045 802 7980

Bonacina Maria Paola +39 045 802 7046

Cristani Matteo 045 802 7983

Cristani Marco +39 045 802 7841

De Marchi Stefano 045 8027978

Fiorini Paolo 045 802 7963

Fusiello Andrea


Giachetti Andrea +39 045 8027998

Manca Vincenzo 045 802 7981

Mariotto Gino +39 045 8027031

Masini Andrea 045 802 7922

Mastroeni Isabella +39 045 802 7089

Monti Francesca 045 802 7910

Morato Laura Maria 045 802 7904

Murino Vittorio 045 802 7996

Oliboni Barbara +39 045 802 7077

Orlandi Giandomenico

giandomenico.orlandi at 045 802 7986

Pica Angelo

Posenato Roberto +39 045 802 7967

Quaglia Davide +39 045 802 7811

Segala Roberto 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.

Un insegnamento a scelta tra le seguenti discipline fisiche affini

1° Year


2° Year


3° Year

Un insegnamento a scelta tra le seguenti discipline fisiche affini

4° Year

Modules Credits TAF SSD
Between the years: 4°- 5°Sette insegnamenti a scelta tra le seguenti discipline informatiche caratterizzanti
Between the years: 4°- 5°Un insegnamento nell'ambito affine Interdisciplinarità e applicazioni

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




Scientific Disciplinary Sector (SSD)





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.


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.

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.