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

Computational thinking  (2023/2024)

Teaching code

4S010869

Teacher

Matteo Lissandrini

Coordinator

Matteo Lissandrini

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II semestre (Lingue e letterature straniere) dal Feb 19, 2024 al May 25, 2024.

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 can be followed by all people with some basic knowledge of mathematics.
While having background knowledge or practice on the basics of computer science or programming would be preferrable, there are no substantial requirements to this course.

Program

Computational thinking is a problem-solving approach rooted in computer science concepts, aimed at expressing solutions for computer execution. In an era where computing is pervasive across society, including business, humanities, and daily life, mastering computational thinking is essential. It is crucial for designing websites, analyzing text, understanding SEO, setting up digital marketing campaigns, and other tasks for communication 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 speech assistance to understanding how algorithms contribute to tasks like suggesting a movie to watch.

The course delves into algorithms' significance in citizens' and professionals' daily lives, teaching expression in natural language and pseudo-code. Evaluation methods include analyzing complexity and running time 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

Frontal lessons with active learning activities with hands-on experience. Exercises to be done at home. Slides shared with the students and examples of programs in Python.

Learning assessment procedures

Attendance to the course is highly recommended.
There is no difference in the curriculum, materials, and exam between attendees and non-attendees.
The examination will require the development of a project with a report, and its 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 basics of computational thinking.
Ability to describe in an algorithmic way the solution to a simple problem.
Knowledge of the basics operations and c onstructs to convert algorithms in programs. Ability to write a simple program and execute it.

Criteria for the composition of the final grade

Grade is computed as weighted score based on evaluation criteria.

Exam language

english

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