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..

For the year 2008/2009 No calendar yet available

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 F G M P S T V

Belussi Alberto

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

Bombieri Nicola

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

Bos Leonard Peter

leonardpeter.bos@univr.it +39 045 802 7987

Carra Damiano

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

Fontana Federico

federico.fontana@univr.it +39 045 802 7032

Fummi Franco

franco.fummi@univr.it 045 802 7994

Fusiello Andrea

nome.cognome[at]uniud.it

Giacobazzi Roberto

roberto.giacobazzi@univr.it +39 045 802 7995

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Mariotto Gino

gino.mariotto@univr.it +39 045 8027031

Masini Andrea

andrea.masini@univr.it 045 802 7922

Mastrogiacomo Elisa

Menegaz Gloria

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

Merro Massimo

massimo.merro@univr.it 045 802 7992

Monti Francesca

francesca.monti@univr.it 045 802 7910

Pica Angelo

angelo.pica@univr.it

Pravadelli Graziano

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

Segala Roberto

roberto.segala@univr.it 045 802 7997

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

Todorov Velitchko

velitchko.todorov@univr.it

Vigano' Luca

luca.vigano@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 enrolment year.

Training offer to be defined

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

4S02848

Teacher

Luca Vigano'

Coordinatore

Luca Vigano'

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/01 - MATHEMATICAL LOGIC

Period

1st Semester dal Oct 1, 2009 al Jan 31, 2010.

Learning outcomes

The mere existence of computer science depends on the capability of representing notions adequately and processing them through appropriate transformations of their representations. In other words, the elaboration of knowledge is based on the distinctions and relationship between semantics and syntax.

The main objective of this course is thus the introduction of the fundamental notions of symbolic logic: syntax, semantics, language and metalanguage, deductive systems, structure and representability.

Program

Propositional logic: Syntax and semantics; deductive systems (introduce at least one of the following systems: natural deduction, sequent calculus, tableaux); soundness and completeness; functional completeness.

Predicate logic: Quantifiers; structures and semantics of first-order logic; equality; extensions of the deductive systems for quantifiers and equality; first-order mathematical theories; theorems of soundness and completeness; compactness theorem and Loewenheim-Skolem theorem; formalization of mathematical structures and representability; Peano arithmetics; statement of the incompleteness theorem.

Examination Methods

The examination consists of a written test that must be taken without the help of notes, books, or other documentation. The teacher may decide to replace the written test with an oral examination.

Type D and Type F activities

Training offer to be defined

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.

Graduation

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 delle basi di dati/sistemi informativi Various topics

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.

Career management


Area riservata studenti