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. 2014/2015

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 invernale appello di laurea 2015 Mar 19, 2015 Mar 19, 2015
Sessione estiva appello di laurea 2015 Jul 15, 2015 Jul 15, 2015
Sessione autunnale appello di laurea 2015 Oct 21, 2015 Oct 21, 2015
Sessione invernale appello di laurea 2016 Mar 17, 2016 Mar 17, 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 Enrolment FAQs

Academic staff

B C D F G M O P Q R S V

Belussi Alberto

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

Bombieri Nicola

nicola.bombieri@univr.it +39 045 802 7094

Bonacina Maria Paola

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

Carra Damiano

damiano.carra@univr.it +39 045 802 7059

Castellani Umberto

umberto.castellani@univr.it +39 045 802 7988

Cicalese Ferdinando

ferdinando.cicalese@univr.it +39 045 802 7969

Cristani Matteo

matteo.cristani@univr.it 045 802 7983

Cristani Marco

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

Cubico Serena

serena.cubico@univr.it 045 802 8132

Dalla Preda Mila

mila.dallapreda@univr.it

Farinelli Alessandro

alessandro.farinelli@univr.it +39 045 802 7842

Favretto Giuseppe

giuseppe.favretto@univr.it +39 045 802 8749 - 8748

Fiorini Paolo

paolo.fiorini@univr.it 045 802 7963

Franco Giuditta

giuditta.franco@univr.it +39 045 802 7045

Fummi Franco

franco.fummi@univr.it 045 802 7994

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Masini Andrea

andrea.masini@univr.it 045 802 7922

Mastroeni Isabella

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

Menegaz Gloria

gloria.menegaz@univr.it +39 045 802 7024

Merro Massimo

massimo.merro@univr.it 045 802 7992

Muradore Riccardo

riccardo.muradore@univr.it +39 045 802 7835

Oliboni Barbara

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

Pravadelli Graziano

graziano.pravadelli@univr.it +39 045 802 7081

Quaglia Davide

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

Rizzi Romeo

romeo.rizzi@univr.it +39 045 8027088

Segala Roberto

roberto.segala@univr.it 045 802 7997

Villa Tiziano

tiziano.villa@univr.it +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 enrolment year.

CURRICULUM TIPO:
ModulesCreditsTAFSSD
12
B
(ING-INF/05)
12
B
(ING-INF/05)
6
B
(ING-INF/05)
6
B
(ING-INF/05)
6
B
(ING-INF/05)
ModulesCreditsTAFSSD
6
B
(INF/01)
Altre attivita' formative (taf f)
4
F
-

1° Year

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

2° Year

ModulesCreditsTAFSSD
6
B
(INF/01)
Altre attivita' formative (taf f)
4
F
-
Modules Credits TAF SSD
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S02796

Credits

6

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Language

Italian

Period

I sem. dal Oct 1, 2014 al Jan 30, 2015.

Learning outcomes

The class presents problems, methods and systems in automated reasoning. The treatment combines theoretical foundations with algorithmic and practical issues, emphasizing mechanization throughout. The student learns how to design, apply, and evaluate methods and systems for automated reasoning, with attention to applications in analysis, verification, synthesis of systems, and artificial intelligence.

Program

Foundations of automated reasoning: theorem proving and model building. Inference systems, such as: instance-based (e.g., hyper-linking), ordering-based (e.g., resolution), and subgoal-reduction based (e.g., model elimination). Search plans. Algorithmic reasoning in specific fields, such as: decision procedures for satisfiability modulo theories (SMT); constraint-based reasoning. Design and use of general-purpose or special-purpose reasoners.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Ricardo Caferra, Alexander Leitsch, Nicolas Peltier Automated Model Building (Edizione 1) Kluwer Academic Publishers 2004 1-4020-265 Lettura supplementare
Daniel Kroening, Ofer Strichman Decision Procedures. An algorithmic point of view Springer 2008 978-3-540-74104-6 Libro di testo
Rolf Socher-Ambrosius, Patricia Johann Deduction Systems (Edizione 1) Springer Verlag 1997 0387948473 Lettura supplementare
Raymond M. Smullyan First-order logic Dover Publications 1995 0486683702 Lettura supplementare
Allan Ramsay Formal Methods in Artificial Intelligence (Edizione 1) Cambridge University Press 1989 0521424216 Lettura supplementare
Chin-Liang Chang, Richard Char-Tung Lee Symbolic Logic and Mechanical Theorem Proving (Edizione 1) Academic Press 1973 0121703509 Libro di testo
Alexander Leitsch The Resolution Calculus (Edizione 1) Springer 1997 3540618821 Lettura supplementare
Martin Davis The Universal Computer. The Road from Leibniz to Turing. Turing Centenary Edition. Taylor and Francis Group 2012 978-1-4665-0519-3 Lettura supplementare

Examination Methods

The grade is given by 30% C1 + 30% C2 + 40% P, where C1 is the midterm exam, C2 is the final exam and P is a project. The grade thus generated is registered at the first exam session in February.
For all other sessions, the grade is given by 100% E, where E is a written test, hard enough to match the difficulty of C1 + C2 + P.
Registration: all grades will be registered.
Withdrawal: Students may withdraw by informing the instructor.
Cheating: All tests and projects are individual work. Cheating is strictly forbidden and will determine lowering of grades.

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.

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Graduation

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 delle basi di dati/sistemi informativi Various topics

Gestione carriere


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.