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.

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

ModulesCreditsTAFSSD
Final exam
21
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
Final exam
21
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
1 module among the following
6
C
IUS/17
Between the years: 1°- 2°
1 module among the following 
- A.A. 2024/2025 Complex systems and social physics - Network science and econophysics - Statistical methods for business intelligence not activated
- A.A. 2025/26 Network science and econophysics not activated
Between the years: 1°- 2°
1 module among the following
Between the years: 1°- 2°
2 modules among the following
Between the years: 1°- 2°
Further activities: International students (ie students who do not have an Italian bachelor's degree) must compulsorily gain 3 credits of Italian language skills level B2.
6
F
-
Between the years: 1°- 2°

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

4S009084

Credits

6

Coordinator

Not yet assigned

Language

English en

Also offered in courses:

  • Cybercrime of the course Master's degree in Artificial intelligence
  • Cybercrime of the course Master's degree in Artificial intelligence
  • Cybercrime of the course Master's degree in Artificial intelligence
  • Cybercrime of the course Master's degree in Data Science
  • Cybercrime of the course Master's degree in Data Science
  • Cybercrime of the course Master's degree in Data Science
  • Cybercrime of the course Master's degree in Data Science

Scientific Disciplinary Sector (SSD)

IUS/17 - CRIMINAL LAW

Courses Single

Authorized

The teaching is organized as follows:

Teoria 3

Credits

2

Period

Semester 2

Academic staff

Rosa Maria Vadala'

Teoria 2

Credits

2

Period

Semester 2

Academic staff

Barbara Vettori

Teoria 1

Credits

2

Period

Semester 2

Academic staff

Andrea Di Nicola

Learning objectives

The course will provide the conceptual, methodological and cultural basis to analyze and study the “ICTs Criminal Law”, cybercrimes and computer-related crimes and the “technological investigations”, developing the capacity in using correct and specific language and discourse. Students will gain, following this method and in subiecta materia, legal and technical expertise both on substantive criminal law and procedure criminal law levels. The course will study the new illegal phenomena related to the use of the new technologies and Internet, also through social networks (for example: online defamation, frauds - connected to online banking, phishing, identity theft - privacy violation, copyright infringement, child pornography, child grooming, cyberterrorism, cyber laundering). The course will analyze, taking into consideration real cases, the applicable criminal law, in particular for illegal activities down to the new concept of “cybercrime”, which is a transnational and global crime. For this reason it’s necessary to analyze the most important international and European legal sources (Cybercrime Convention and Lanzarote Convention of the Council of Europe, European directives on: attack against information systems, child pornography, intellectual property, e-commerce and privacy) Special attention will be given to the Internet Service Providers criminal liability, subject of recent European Court of Justice and Italian Corte di Cassazione judgements (cases Google, Netlog etc.). In this area particular attention will be paid to the need to regulate the collection of data and the digital evidence, which are becoming increasingly important for the detection and prosecution of every criminal offence, not only “cybercrime”.

Learning assessment procedures

Per superare l'esame, gli studenti devono dimostrare di:
- aver compreso i principi fondamentali dell'algebra lineare computazionale, dell'ottimizzazione convessa e della geometria differenziale applicata all'analisi dei dati.
- essere in grado di esporre le argomentazioni sugli argomenti del corso in modo preciso e organico, senza divagazioni
- essere in grado di applicare le conoscenze acquisite per risolvere problemi applicativi presentati sotto forma di esercizi, domande e progetti.
L'esame consiste in una prova orale con domande scritte e discussione.
È incoraggiato lo sviluppo di un progetto (non obbligatorio) per integrare l'esame orale.

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

At the end of the course the student will have to demonstrate:
- know the phenomenology, terminology, sources, data and etiology of cybercrime;
- know how to discuss the profiles of authors and victims of cybercrime
- know how to distinguish primary, secondary and tertiary prevention strategies of the phenomenon;
- be able to discuss the main legal instruments (criminal law and procedure) to combat the phenomenon. During the oral exam, questions will be asked relating to all three modules into which the course is divided. The final grade will therefore reflect the knowledge gained by the student in the three areas.