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
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 in Lingue e letterature per l'editoria e i media digitali - Enrollment from 2025/2026The 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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1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
2° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
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1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
Philology related to 1st or 2nd foreign language
3° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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1st foreign language
2nd foreign language
Modules | Credits | TAF | SSD |
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1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
Modules | Credits | TAF | SSD |
---|
1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
Philology related to 1st or 2nd foreign language
Modules | Credits | TAF | SSD |
---|
1st foreign language
2nd foreign language
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.
Advanced Digital Humanities Lab (2021/2022)
Teaching code
4S008112
Teacher
Coordinator
Credits
3
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
II semestre (Lingue e letterature straniere) dal Feb 14, 2022 al May 28, 2022.
Erasmus students
Not available
Learning outcomes
The laboratory aims to provide students with the knowledge and skills required to carry out articulated and interdisciplinary projects using the fundamental methodologies and technologies in Digital Humanities. At the end of the laboratory the students: - will be able to combine the previously acquired skills of programming, data and information management, and web development to autonomously implement complex Digital Humanities projects; - will know and will be able to apply a well-founded methodology for the planning and development of a Digital Humanities software project.
Program
Main subject of the workshop will be the application of computational methods and tools for text analysis and data visualisation. Practical exercises with the programming languages R and Python will be accompanied by: (1) critical-theoretical reflections on the potential and limitations of the presented methods; (2) exemplifications of their application to a series of case studies (focusing on the phenomenon of "digital social reading").
Main topics:
- GitHub
- stylometry
- sentiment analysis
- topic modeling
- machine learning
- web scraping
- maps
- networks
LANGUAGES AND PLATFORMS
R programming language (https://www.r-project.org/)
Rstudio platform (https://www.rstudio.com/)
Python programming language (https://www.python.org/)
Google Colab platform (https://colab.research.google.com/)
GitHub platform (https://github.com/)
Examination Methods
The laboratory will be developed in a series of meetings on two days a week for a total of 36 hours (3 CFU). Each meeting will consist of a short introduction or critical discussion of the subject under examination, followed by exercises.
The active participation of the students will be required and stimulated, with exercises aimed primarily at familiarising them with the rules and methods of programming and markup languages.
The examination will consist of the evaluation of a research project, which may be devised during the workshop or agreed with the teacher before the exam. Students will be asked to publish the project on the GitHub platform. The exam (to be conducted orally) will consist of the analysis and discussion of the project.
Non-attending students will also be guaranteed the possibility of taking the exam, but they will have to agree on a programme with some additions to facilitate individual study.