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!
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
Game Theory (2025/2026)
Teacher
Referent
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
Didactic methods
Frontal teaching.
Learning assessment procedures
Written test
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] |