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 activated in the A.Y. 2023/2024
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1 module among the following (a.a. 2023/24: Data protection in business organizations not activated)
2 modules among the following (a.a. 2023/24: Statistical methods for business intelligence not activated)
2 modules among the following (a.a. 2023/24: Complex systems and social physics not activated)
2 modules among the following
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.
Network science and econophysics (Not provided 2022/2023)
Teaching code
4S009155
Credits
6
Scientific Disciplinary Sector (SSD)
FIS/02 - FISICA TEORICA, MODELLI E METODI MATEMATICI
Learning objectives
The aim of the course is to provide the student with the interdisciplinary physical-mathematical modeling skills for the study of networks of economic agents in interaction, with applications to the characterization of financial markets, business organization, and economic forecasting. Analysis schemes of interacting networks, with particular reference to the spread of agents and influences in the company organization, will in particular be developed.
At the end of the course the student has to show to have acquired the following skills:
- ability to develop analytical-quantitative models and numerical algorithms for the detection of trends in interacting social network systems and for the design of strategies for analyzing and optimizing the business management and dynamics.