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.

Study Plan

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Languages, Literatures and Digital Culture - Enrollment from 2025/2026

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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
6
B
L-FIL-LET/10
1st foreign language
9
B
L-LIN/12
9
B
L-LIN/04
9
B
L-LIN/14
9
B
L-LIN/07
9
B
L-LIN/21
2nd foreign language
9
B
L-LIN/12
9
B
L-LIN/04
9
B
L-LIN/14
9
B
L-LIN/07
9
B
L-LIN/21
1st foreign literature
6
B
L-LIN/10
6
B
L-LIN/03
6
B
L-LIN/13
6
B
L-LIN/21
6
B
L-LIN/05
2nd foreign literature
6
B
L-LIN/10
6
B
L-LIN/03
6
B
L-LIN/13
6
B
L-LIN/21
6
B
L-LIN/05
1 module among the following (philology must be related to one of the chosen languages)
6
B
L-FIL-LET/14
6
B
L-FIL-LET/15
6
B
L-FIL-LET/09
6
B
L-LIN/21
6
C
INF/01
3
F
INF/01
9
D
-

2° Year   activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
1 module between the following
6
C
INF/01
6
C
IUS/04
3 modules among the following (related to the language and literature chosen)
6
B
L-LIN/10
6
B
L-LIN/03
6
B
L-LIN/13
6
B
L-LIN/12
6
B
L-LIN/04
6
B
L-LIN/14
6
B
L-LIN/07
6
B
L-LIN/05
6
B
L-LIN/21
6
B
L-LIN/21
Digital lab
2
F
-
2
F
-
2
F
-
3
F
-
9
D
-
Dissertation
18
E
-
ModulesCreditsTAFSSD
6
B
L-FIL-LET/10
1st foreign language
9
B
L-LIN/12
9
B
L-LIN/04
9
B
L-LIN/14
9
B
L-LIN/07
9
B
L-LIN/21
2nd foreign language
9
B
L-LIN/12
9
B
L-LIN/04
9
B
L-LIN/14
9
B
L-LIN/07
9
B
L-LIN/21
1st foreign literature
6
B
L-LIN/10
6
B
L-LIN/03
6
B
L-LIN/13
6
B
L-LIN/21
6
B
L-LIN/05
2nd foreign literature
6
B
L-LIN/10
6
B
L-LIN/03
6
B
L-LIN/13
6
B
L-LIN/21
6
B
L-LIN/05
1 module among the following (philology must be related to one of the chosen languages)
6
B
L-FIL-LET/14
6
B
L-FIL-LET/15
6
B
L-FIL-LET/09
6
B
L-LIN/21
6
C
INF/01
3
F
INF/01
9
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Data and knowledge representation for the humanities   (2024/2025)

Teaching code

4S010870

Teacher

Matteo Lissandrini

Coordinator

Matteo Lissandrini

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II semestre (Area Lingue e letterature straniere) dal Feb 17, 2025 al May 24, 2025.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

In this course students will learn methods and best practices for organizing data and representing knowledge, according to well established formats and technologies (e.g., Semantic Web / Linked Data). Special emphasis will be given on their usage in application domains related to the Humanities. At the end of the course students: will learn the principles and basic notions of data and knowledge representation; will learn state-of-the-art formalisms for data and knowledge representation; and, will learn how to apply methods for modelling data and representing knowledge.

Prerequisites and basic notions

Basic computer science knowledge is a prerequisite, and it is suggested to have attended some form of introductory courses in databases and basic programming.

Program

The course will cover topics across four fundamental areas
- From data to information: approaches to data structures and digital representation of data and knowledge.
- Basic web technologies for representing and sharing knowledge on the web: HTTP, URI, HTML, CSS, XML, JSON, XPath
- Fundamentals of linked data application: RDF, SPARQL, SHACL, Linked Open Data
- Fundamentals of Knowledge Representation: Ontologies, Knowledge Graphs

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Lectures will combine presentations of content with practical activities.
It is recommended to attend lectures regularly and complete any assigned exercises. Pointers to the reference bibliography will be provided during the respective lectures.
Educational support: materials and resources will be provided during the course to support the lectures, and uploaded to the Moodle page. Additionally, the instructor will be available during office hours.

Learning assessment procedures

The exam will consist in the realization of a team project and related individual discussion.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

Correctness of the project
Complexity of the work carried out
Quality of the documentation
Quality of the oral discussion of the project

Criteria for the composition of the final grade

The individual assessment of the team project is focussed on assessing the correctness, completeness and interoperability of the team project, and more importantly on the contribution to the project by each individual student.

Exam language

english