Training and Research
PhD Programme Courses/classes
In questa pagina sono riportate le attività formative del corso di dottorato per l'anno accademico 2026/2027. Ulteriori attività verranno aggiunte durante l'anno. Ti invitiamo a verificare regolarmente la presenza di aggiornamenti!
Mathematics
Credits: 4.3
Language: English
Teacher: Athena Picarelli
Probability
Credits: 7.5
Language: English
Teacher: Marco Minozzo
Statistica Matematica
Credits: 5
Language: Inglese
Teacher: Catia Scricciolo
Continuous Time Econometrics
Credits: 5
Language: English
Teacher: Cecilia Mancini, Chiara Amorino
Microeconomics I
Credits: 10.5
Language: English
Teacher: Claudio Zoli, Martina Menon, Simona Fiore
Game Theory
Credits: 5
Language: English
Teacher: Francesco De Sinopoli
Advice to Young Economists
Credits: 4
Language: English
Teacher: Marco Piovesan
Behavioral and Experimental Economics
Credits: 4
Language: English
Teacher: Marco Piovesan, Maria Vittoria Levati, Simone Quercia
Development Economics
Credits: 4
Language: English
Teacher: Federico Perali
Finanza Matematica
Credits: 5
Language: Inglese
Teacher: Alessandro Gnoatto
Financial Time Series
Credits: 5
Language: English
Teacher: Giuseppe Buccheri, Lorenzo Frattarolo
Health Economics
Credits: 4
Language: English
Teacher: Paola Bertoli, Paolo Pertile
Inequality
Credits: 4
Language: English
Teacher: Claudio Zoli, Francesco Andreoli, Lidia Ceriani
Introduction to Economics
Credits: 5
Language: English
Teacher: Federico Perali, Sergio Alessandro Castagnetti
Job Market Orientation
Credits: 1.5
Language: English
Teacher: Simone Quercia
Macroeconomics I
Credits: 7.5
Language: English
Teacher: Alessia Campolmi, Tamara Fioroni
Political Economy
Credits: 4
Language: English
Teacher: Emanuele Bracco, Roberto Ricciuti
Stochastic Optimization and Control
Credits: 5
Language: English
Teacher: Athena Picarelli
Stochastic Processes in Finance
Credits: 5
Language: English
Teacher: Sara Svaluto-Ferro
Microeconomics I (2026/2027)
Academic staff
Referent
Credits
10.5
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
The aim of the course is to provide students with the main analytical tools to develop microeconomic analysis.
At the end of the course students should be able to apply the relevant mathematical technique for the analysis of consumption, production and choices under risk and develop a critical assessment of theoretical research on these subject.
Prerequisites and basic notions
Preliminary knowledge of basic microeconomics and elements of mathematical methods for economis.
Program
The course provides students with the main notions of microeconomic theory characterizing the first part of an advanced course on the subject. In particular, it is organized in three main parts:
1) Theory of consumer’s behaviour and welfare,
2) Theory of production,
3) Choices under uncertainty.
The approach is formal and mathematical, and is aimed not only at delivering the main elements of microeconomic theory but also at providing students with the necessary tools to address theoretical problems grounded in choice theory. Basic mathematical concepts and familiarity with logical and abstract reasoning are therefore a prerequisite of this course. Lectures will be supplemented by exercise classes to further develop the technical skills required.
Attention will also be played to place in context the analysis with possible applications of the concepts discussed for theoretical research or for policy analysis. Detailed references will be provided during the lectures.
Bibliography
Didactic methods
The course activities involve 30 hours of class lessons and 12 hours of exercise classes.
Learning assessment procedures
Written exam with seprate/specific questions on the three parts of the course.
Assessment
The written exam will evaluate the logical, expository and analytical skills relating to the topics covered in the course.
Criteria for the composition of the final grade
The final mark will be an average of the evaluation of each of the different parts of the course
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Monday 02 November 2026 11:00 - 13:00 Duration: 2:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Claudio Zoli | Zoli Lecture 1 |
|
Friday 06 November 2026 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Claudio Zoli | Zoli Lecture 2 |
|
Friday 20 November 2026 10:00 - 13:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Claudio Zoli | Zoli Lecture 3 |
|
Wednesday 25 November 2026 11:00 - 13:00 Duration: 2:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Claudio Zoli | Zoli Lecture 4 |
|
Friday 27 November 2026 10:00 - 13:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Claudio Zoli | Zoli Lecture 5 |
|
Wednesday 02 December 2026 10:00 - 13:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Claudio Zoli | Zoli Lecture 6 |
|
Thursday 03 December 2026 16:00 - 18:00 Duration: 2:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Claudio Zoli | Zoli Lecture 7 |
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability
