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.
1° Year
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2024/2025
Modules | Credits | TAF | SSD |
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6 modules among the following
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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6 modules among the following
Modules | Credits | TAF | SSD |
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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.
New technologies and data management - TECNOLOGIE INFORMATICHE (2023/2024)
Teaching code
4S009800
Teacher
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
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
Didactic methods
In-person lessons with slides
Learning assessment procedures
Discussion of a legal project on topics proposed in class.
Evaluation criteria
20% presentation capacity, 30% legal framework, 30% coherence with the course contents, 20% innovation
Exam language
italiano