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
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2° Year It will be activated in the A.Y. 2026/2027
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1 module among the following2 modules among the following1 module among the following
A.A. 2025/26 e 2026/27 - Network science and econophysics not activated
A.A. 2026/27 Complex systems and social physics not activated1 module among the following2 modules among the followingLegend | 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.
Complex systems and social physics (2025/2026)
Teaching code
4S009082
Teacher
Not yet assigned
Credits
6
Also offered in courses:
- Complex systems of the course Master's degree in Artificial intelligence
- Complex systems of the course Master's degree in Artificial intelligence
Language
English
Scientific Disciplinary Sector (SSD)
FIS/02 - THEORETICAL PHYSICS, MATHEMATICAL MODELS AND METHODS
Period
2nd semester dal Mar 2, 2026 al Jun 12, 2026.
Courses Single
Authorized
Learning objectives
The aim of the course is to provide the student with the skills of theoretical physics and mathematical physics methods for the modeling and characterization of large sets of data, time series, time sequences, and hierarchical structures in aggregation. Students will also be provided with the methods of mathematical physics for the study of correlation, causation, and aggregation relationships in complex social systems.
At the end of the course the student has to show to have acquired the following skills: ability to develop formal models for the qualitative and quantitative analysis of databases, time series, and dynamics of complex systems in interaction for the detection of causal relationships, correlation structures, and forecasting schemes.