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. 2026/2027 A.A. 2025/2026

This information is intended exclusively for future freshmen who will enroll for the 2025/2026 academic year.
If you are already enrolled in this course of study, consult the information available on the course page:

Master's degree in Languages, Literatures and Digital Culture - Enrollment until 2024/2025

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

2° Year   It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
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
One module between the following
6
C
INF/01
6
C
IUS/04
2
F
-
2
F
-
3
F
-
2
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
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
6
B
L-FIL-LET/10
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

Computational thinking  (2025/2026)

Teaching code

4S010869

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 16, 2026 al May 23, 2026.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

In this course students will be introduced to computational thinking, the process of approaching, analysing, formulating, and solving a problem in such a way that the solution can be performed by a computer. At the end of the course students: will learn the historical and theoretical background of computational thinking; will know the principles at the core of computational problem solving; will be able to understand the capabilities of computers, to formulate problems to be addressed by a computer, and to design algorithms that a computer can execute.

Prerequisites and basic notions

The course is open to anyone with a basic understanding of mathematics. While prior knowledge or experience with computer science or programming is preferred, there are no specific prerequisites for this course.

Program

Computational thinking is a problem-solving approach rooted in computer science concepts, aimed at expressing solutions for execution on computers. In an era where computing is pervasive in society, including fields such as business, the humanities, and everyday life, mastering computational thinking is essential. It is crucial for designing websites, analyzing texts, understanding search engine optimization, configuring digital marketing campaigns, and other tasks performed by communications professionals. The course focuses on the four pillars of computational thinking: decomposition, pattern recognition, data representation and abstraction, and algorithms. Real-world problems requiring computational thinking will be explored, emphasizing its subtle role in everyday operations. Examples range from using string search for voice assistance to understanding how algorithms contribute to tasks such as suggesting a movie to watch. The course explores the importance of algorithms in the daily lives of citizens and professionals, teaching both natural language and pseudocode expression. Evaluation methods include complexity and runtime analysis to determine algorithmic superiority for specific problems.

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 with active learning activities through hands-on experiences. Homework assignments are provided. Slides are shared with students and Python program examples are provided.

Learning assessment procedures

Attendance is strongly recommended. There are no differences in the program, materials, or exam for attending and non-attending students. Assessment will consist of a project, report, and related discussion during the exam.

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

Knowledge of the fundamentals of computational thinking. Ability to describe a problem in a structured way, including input information and expected results. Ability to algorithmically describe the solution to a simple problem. Knowledge of the basic operations and constructs for converting algorithms into programs. Ability to write and execute a simple program.

Criteria for the composition of the final grade

Weighted sum according to the evaluation criteria.

Exam language

English

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