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.
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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
+39 045 802 7980
nome.cognome[at]uniud.it
Mastrogiacomo Elisa
angelo.pica@univr.it
Todorov Velitchko
velitchko.todorov@univr.it
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.
In attesa che venga pubblicato il piano didattico 2008/2009, consulta il piano dell'anno accademico in corso al link
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.
Logic for computer science (2009/2010)
Teaching code
4S02848
Teacher
Coordinatore
Credits
6
Also offered in courses:
- Logic of the course Bachelor in Computer Science (until 2008-2009 academic year)
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: 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.
Erasmus+ and other experiences abroad
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 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.
