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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Algebra and Foundations of Mathematics
Mathematical analysis
2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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3° Year It will be activated in the A.Y. 2026/2027
Modules | Credits | TAF | SSD |
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Un insegnamento a scelta
Modules | Credits | TAF | SSD |
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Algebra and Foundations of Mathematics
Mathematical analysis
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Un insegnamento a scelta
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.
Information Systems (It will be activated in the A.Y. 2026/2027)
Teaching code
4S002866
Credits
6
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICA
Learning objectives
The course aims to provide the main concepts related to information systems for data management and systems for business process management. In particular, the main types of information systems for data management and techniques for modeling structured, semistructured, and unstructured data will be introduced. Furthermore, methods for extracting information from data will be described. Finally, the main business process modeling approaches will be introduced. At the end of the course, the student will be able to master knowledge and skills about designing and managing data and processes and extracting information from data sources. Moreover, the student will be able to communicate appropriately with stakeholders interested in data management, process modeling and information retrieval. Students will also be able to autonomously continue studies in the Information Systems field.