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 semestre | Oct 1, 2019 | Jan 31, 2020 |
II semestre | Mar 2, 2020 | Jun 12, 2020 |
Session | From | To |
---|---|---|
Sessione invernale d'esame | Feb 3, 2020 | Feb 28, 2020 |
Sessione estiva d'esame | Jun 15, 2020 | Jul 31, 2020 |
Sessione autunnale d'esame | Sep 1, 2020 | Sep 30, 2020 |
Session | From | To |
---|---|---|
Sessione Estiva. | Jul 16, 2020 | Jul 16, 2020 |
Sessione Autunnale. | Oct 15, 2020 | Oct 15, 2020 |
Sessione Invernale. | Mar 18, 2021 | Mar 18, 2021 |
Period | From | To |
---|---|---|
Festa di Ognissanti | Nov 1, 2019 | Nov 1, 2019 |
Festa dell'Immacolata | Dec 8, 2019 | Dec 8, 2019 |
Vacanze di Natale | Dec 23, 2019 | Jan 6, 2020 |
Vacanze di Pasqua | Apr 10, 2020 | Apr 14, 2020 |
Festa della Liberazione | Apr 25, 2020 | Apr 25, 2020 |
Festa del lavoro | May 1, 2020 | May 1, 2020 |
Festa del Santo Patrono | May 21, 2020 | May 21, 2020 |
Festa della Repubblica | Jun 2, 2020 | Jun 2, 2020 |
Vacanze estive | Aug 10, 2020 | Aug 23, 2020 |
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 Enrollment FAQs
Academic staff
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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2° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Semantic web (2020/2021)
Teaching code
4S02793
Teacher
Coordinator
Credits
6
Also offered in courses:
- Knowledge representation of the course Master's degree in Computer Science and Engineering
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
II semestre dal Mar 1, 2021 al Jun 11, 2021.
Learning outcomes
The course’s purpose is to provide the fundamental concepts of knowledge representation both respect to the abstract problem of defining a domain ontology and to the problem of indexing documental domains. Specifically, both logical techniques and machine learning techniques for classification and analysis of documents. At the end of the course the student shall have acquired knowledge bunches on knowledge representation and its applications, and also shall be comfortable with the technical aspects of statistical natural language processing, understanding and connecting both aforementioned aspects while relating them to document repositories, especially the world wide web. These bunches of knowledge shall habilitate the student in: i) building formal ontologies; ii) managing ontology alignement; iii) managing document retrieval with indices based on text content; iv) using formal methods for text analysis while combining these with automated reasoning techniques. At the end of the course the student will be able to: i) presenting a conceptual semantic analysis, describing the process that leads a domain expert to the delivery of information needed by the knowledge engineer to deliver a formal ontology describing the interest domain; ii) going further, potentially autonomously, study and research in the field of semantic technologies in several different application fields.
Program
1. Elements of Logic
a. Propositional languages
b. First order languages
c. Second order Languages
2. Introduction to computational logic
a. Reasoning tasks
b. Subsumption, satisfiability, consistency, disjointness
3. Structural description logic
a. The FL- language
i. Syntax
ii. Semantics
b. The AL Logic
i. Syntax and semantics
ii. Structural subsumption algorithm
c. ALU, ALE
d. ALN
4. Propositional description logics
a. ALC, ALCN
i. Syntax and semantics
ii. Tableau for ALCN
b. ALCI
c. ALCQIreg
i. Tableau inapplicability
ii. Two-ways alternate automata on infinite trees
5. Description logic systems
a. Protegè/OWL
6. Natural Language Processing
7. Social network analysis and techniques of social network mining
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Franz Baader | Introduction to Description Logic | Cambridge University Presse | 2017 | 9781139025355 |
Examination Methods
The exam is formed by one homework on one of the topics of the course, and possibly in an integrative oral exam. Goal of the homework is to check the learning level of knowledge representation and methods for natural language processing, in the practice of a complex problem. The student can be focusing on one of the two specific themes, and thus we shall agree on an oral integration, on the theme less employed in the homework. The homework shall document the development of a computer program in a language the student is fluent on, implementing solutions based open KR or NLP methods.
Type D and Type F activities
Documents and news
- PIANO DIDATTICO / DEGREE PROGRAMME LM-18/32 2019/20 (octet-stream, it, 16 KB, 25/03/19)
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | The fashion lab (1 ECTS) | D | Not yet assigned |
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Python programming language | D |
Maurizio Boscaini
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | CyberPhysical Laboratory | D |
Andrea Calanca
(Coordinator)
|
1° 2° | C++ Programming Language | D |
Federico Busato
(Coordinator)
|
1° 2° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Corso Europrogettazione | D | Not yet assigned |
1° 2° | The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. | D |
Matteo Cristani
|
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.
Graduation
Deadlines and administrative fulfilments
For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.
Need to activate a thesis internship
For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.
Final examination regulations
List of theses and work experience proposals
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.