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. 2026/2027

ModulesCreditsTAFSSD
Final exam
21
E
-
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
Final exam
21
E
-
Modules Credits TAF SSD
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°
1 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 activated
Between the years: 1°- 2°
1 module among the following
6
C
IUS/17
Between the years: 1°- 2°
Further activities: International students (i.e. 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

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.