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
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
6
C
INF/01
3
F
INF/01
6
B
L-FIL-LET/10
9
D
-
One 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

2° Year   It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
One modue 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
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
6
C
INF/01
3
F
INF/01
6
B
L-FIL-LET/10
9
D
-
One 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

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

Computational methods for comparative literary studies  (2024/2025)

Teaching code

4S010863

Teacher

Simone Rebora

Coordinator

Simone Rebora

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

L-FIL-LET/14 - CRITICAL COMPARATIVE LITERATURE

Period

I semestre (Area Lingue e letterature straniere) dal Sep 23, 2024 al Dec 21, 2024.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

In this course students will learn computational methods that can be applied to conduct linguistics and literary studies. These computer-assisted methods (c.f., Scalable and Distant Reading) support the systematic analysis of larger and larger amounts of textual data, enabling literary investigations beyond what feasible with solely human effort. At the end of the course students: - will learn how to approach and conduct the analysis of a text using computational methods - will be able to understand the basic principles, the practical aspects, and the main limitations of some computational methods enabling text analysis, data mining, and data visualization

Prerequisites and basic notions

None

Program

The course will provide an overview of the main approaches in computational literary studies, by taking into consideration both theories, methodologies, and applications. Main topics of the course will be:
- the “distant reading” paradigm
- operationalization and modeling of literary theories and phenomena
- text analysis approaches (natural language processing, stylometry, sentiment analysis, and topic modeling)
- text visualization approaches (maps, plots, and networks)
- machine learning and text classification
All approaches will be presented by highlighting both their advantages and limitations, inviting students to participate in a critical discussion of the past, present, and (possible) future of computational literary studies.

Bibliography

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Didactic methods

The teaching methods involve face-to-face lectures, to be held on two days per week for a total load of 36 hours (6 CFUs). All materials will be shared on the Moodle platform (and will be part of the exam syllabus). During lectures, students will be encouraged to participate actively through the application and critical analysis of tools for computational literary studies. Non-attending students will have to compensate for not participating in these activities through study of the critical bibliography. Attending students who find themselves in the position of having to make up for missed lessons must contact the teacher.

Learning assessment procedures

For attending students, the exam will be divided into two parts. The first part will consist of an assessment of in-class interaction. The second part will consist of an interview on the course topics. For non-attending students, the exam will consist entirely of an interview on the course topics.

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

Students will have to show that they have gained critical skills during the course, by means of analytical and argumentative ability to link the various theoretical and methodological frameworks in computational literary studies.

Criteria for the composition of the final grade

Attending students: in-class activity evaluation (15 points) + final interview evaluation (15 points + laude)
Non-attending students: final interview evaluation (30 points + laude)

Exam language

English