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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
IUS/01 ,IUS/08
One module between the following
ModulesCreditsTAFSSD
12
B
IUS/01 ,IUS/08
One module between the following
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Legal English (B2)
3
F
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S009800

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

1° periodo lezioni (1A) dal Sep 18, 2023 al Oct 28, 2023.

Courses Single

Authorized

To show the organization of the course that includes this module, follow this link:  Course organization

Program

Distance lessons (1CFU, 6 hours) and face-to-face (5CFU, 30 hours) will be allocated one week in advance.
⁃ The Turing Machine and the modern computer: Historical and evolutionary framework, HW architectures (2h)
⁃ Languages and programs: Evolution, abstraction, virtualization and computational models (4h)
⁃ SW Engineering: The design and structure of the SW (2h)
⁃ Syntax and semantics: Extensionality and Intensionality (2h)
⁃ IT tools: Interpreters and Compilers (2h)
⁃ Soluble and insoluble problems: Rice's theorem and its implications (2h)
⁃ Focus on insoluble problems (PBS 2h)
⁃ Complexity (4h)
⁃ Programs, humanity and data: The Biosphere, the Docusphere and the Infosphere (2h)
⁃ Computer Science vs Data Science (2h)
⁃ Encryption and secrecy (2h)
⁃ Technologies for security and privacy: Cloud and blockchain (4h)
⁃ Focus on security and privacy issues: Malware (PBS 2h)
⁃ Artificial Intelligence: Elements of Machine Learning (4h)

Bibliography

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

In-person lessons with slides

Learning assessment procedures

Discussion of a legal project on topics proposed in class.

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

20% presentation capacity, 30% legal framework, 30% coherence with the course contents, 20% innovation

Exam language

italiano