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
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 |
|---|
1st foreign language2nd foreign language1st foreign literature2nd foreign literatureOne module among the following (philology must be related to one of the chosen languages)Germanic philology LM. Manuscript and Textual Studies
2° Year It will be activated in the A.Y. 2027/2028
| Modules | Credits | TAF | SSD |
|---|
3 modules among the following (related to the language and literature chosen)One module between the following| Modules | Credits | TAF | SSD |
|---|
1st foreign language2nd foreign language1st foreign literature2nd foreign literatureOne module among the following (philology must be related to one of the chosen languages)Germanic philology LM. Manuscript and Textual Studies
| Modules | Credits | TAF | SSD |
|---|
3 modules among the following (related to the language and literature chosen)One module between the followingLegend | 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.
Data and knowledge representation for the humanities (It will be activated in the A.Y. 2027/2028)
Teaching code
4S010870
Credits
6
Scientific Disciplinary Sector (SSD)
INFO-01/A - Informatica
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.