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..
Period | From | To |
---|---|---|
I sem. | Oct 2, 2017 | Jan 31, 2018 |
II sem. | Mar 1, 2018 | Jun 15, 2018 |
Session | From | To |
---|---|---|
Sessione invernale d'esame | Feb 1, 2018 | Feb 28, 2018 |
Sessione estiva d'esame | Jun 18, 2018 | Jul 31, 2018 |
Sessione autunnale d'esame | Sep 3, 2018 | Sep 28, 2018 |
Session | From | To |
---|---|---|
Sessione di laurea estiva | Jul 18, 2018 | Jul 18, 2018 |
Sessione di laurea autunnale | Nov 22, 2018 | Nov 22, 2018 |
Sessione di laurea invernale | Mar 20, 2019 | Mar 20, 2019 |
Period | From | To |
---|---|---|
Christmas break | Dec 22, 2017 | Jan 7, 2018 |
Easter break | Mar 30, 2018 | Apr 3, 2018 |
Patron Saint Day | May 21, 2018 | May 21, 2018 |
Vacanze estive | Aug 6, 2018 | Aug 19, 2018 |
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.
Academic staff
![Foto, February 9, 2017](https://docs.univr.it/documenti//Persona/foto/foto688669.png)
Bloisi Domenico Daniele
Folloni Valentina
![Foto Mogavero, September 8, 2017](https://docs.univr.it/documenti//Persona/foto/foto910210.jpg)
Mogavero Fabio
Ugolini Simone
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 enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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Mathematical analysis 1
Computer Architecture
2° Year activated in the A.Y. 2018/2019
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2019/2020
Modules | Credits | TAF | SSD |
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One course to be chosen among the following
Modules | Credits | TAF | SSD |
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Mathematical analysis 1
Computer Architecture
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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One course to be chosen among the following
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 [Cognomi M-Z] (2017/2018)
Teaching code
4S00084
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
I sem. dal Oct 2, 2017 al Jan 31, 2018.
Learning outcomes
The class offers an introduction to logic as a tool for rational inquiry and abstract thinking, and as a foundation of computer science. Students get exposure to logical languages, such as those of propositional logic and first-order logic, as well as languages of specific theories, such as arithmetic and set theory, and learn how to express concepts in this languages. Students learn how to build models and proofs, both manually and using software tools, thus acquiring a solid understanding of the notions of satisfiability and validity that capture truth in logic.
Program
The language of propositional logic: atoms, connectives, sentences. The language of first-order logic: constant symbols, function symbols, and predicate symbols. Methods of proof, interpretations and models for propositional reasoning. The language of first-order logic: variable symbols, quantifiers, formulas, sentences. Methods of proof, interpretations and models for reasoning with quantifiers. Set theory. Arithmetic. Induction principles. Horn logic. Resolution, Skolemization, and unification. Completeness and incompleteness.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Dave Barker-Plummer & Jon Barwise & John Etchemendy | Language, Proof and Logic (Edizione 2) | CSLI Publications | 2011 | 978-1-57586-632-1 |
Examination Methods
First round: the grade is given by 25% I + 25% F + 50% H, where I is the midterm exam grade, F is the final exam grade, and H is the average of the grades in the homeworks. For the first round, all grades will be registered; however, it is possible to withdraw by informing the instructor.
Later rounds: the grade is given by 100% P, where P is a written exam, as hard as midterm, final, and homeworks combined.
Note: Attending all classes is crucial, however attendance or lack thereof does not determine different exam rules.
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Graduation
List of thesis 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 dell'analisi dei dati | Various topics |
Attendance modes and venues
As stated in the Teaching Regulations, attendance at the course of study is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.