Training and Research

PhD Programme Courses/classes

This page lists the training activities for the PhD programme for the academic year 2025/2026. Additional activities will be added during the year. Please check back regularly for updates!

Instructions for lecturers: managing lessons

Mathematics

Credits: 7.5

Language: English

Teacher:  Corrado De Vecchi, Andrea Mazzon

Probability

Credits: 7.5

Language: English

Teacher:  Marco Minozzo

Introduction to Economics

Credits: 5

Language: English

Teacher:  Roberto Ricciuti

Mathematical Statistics

Credits: 5

Language: English

Teacher:  Catia Scricciolo

Continuous Time Econometrics

Credits: 5

Language: English

Teacher:  Cecilia Mancini

Macroeconomics I

Credits: 7.5

Language: INGLESE

Teacher:  Tamara Fioroni, Alessia Campolmi

Microeconomics I

Credits: 10.5

Language: English

Teacher:  Simona Fiore, Claudio Zoli, Martina Menon

Game Theory

Credits: 5

Language: English

Teacher:  Francesco De Sinopoli

Financial Time Series

Credits: 5

Language: English

Teacher:  Giuseppe Buccheri, Lorenzo Frattarolo

Stochastic Optimization and Control

Credits: 5

Language: English

Teacher:  Athena Picarelli

Advice to Young Researchers

Credits: 4

Language: English

Teacher:  Marco Piovesan

Job Market Orientation

Credits: 2

Language: English

Teacher:  Simone Quercia

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli, Lidia Ceriani

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Development Economics

Credits: 4

Language: Italian

Teacher:  Federico Perali

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile, Paola Bertoli

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto-Ferro

Financial Mathematics

Credits: 5

Language: Inglese

Teacher:  Alessandro Gnoatto

Credits

5

Language

English

Class attendance

Compulsory

Location

VERONA

Learning objectives

The goal of the course is to give students a solid background in Game Theory. Game theory provides a structured way to study strategic interactions and can be used to better understand business strategy, contracts, auctions, voting systems, crime, bargaining, and virtually any social interaction one can think of. At the end of the course students should be able to critically read and understand models proposed by economists to describe the above social interactions. Furthermore, students should be able to describe such social interactions as games.

Prerequisites and basic notions

Noone

Program

Normal Form Games.
-Nash Equilibrium.
-Iterated Dominance.
-Incomplete Information.
-Trembling-Hand Perfection.
Extensive Form Games.
-Backward Induction.
-Subgame Perfection.
-Beliefs-based Refinements.
-Sequential Equilibrium and Extensive Form Perfection.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Frontal teaching.

Learning assessment procedures

Written test

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

The examination spans all over the program and aims to test the understanding of the main concepts introduced. In the grading process, more enphasis will be given to the reasonings than to the exact calculations.

Criteria for the composition of the final grade

Final exam

Scheduled Lessons

When Classroom Teacher topics
Tuesday 18 November 2025
10:00 - 13:00
Duration: 3:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra]
Wednesday 19 November 2025
10:00 - 13:00
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1]
Tuesday 25 November 2025
10:00 - 13:00
Duration: 3:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra]
Wednesday 26 November 2025
10:00 - 13:00
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1]
Tuesday 02 December 2025
10:00 - 13:00
Duration: 3:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra]
Wednesday 03 December 2025
10:00 - 13:00
Duration: 3:00 AM
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1]
Tuesday 09 December 2025
10:00 - 12:00
Duration: 2:00 AM
Polo Santa Marta - SMT.04 [SMT.4 - terra]