Training and Research

PhD Programme Courses/classes

This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!

Instructions for teachers: lesson management

Introduction to Economics

Credits: 5

Language: English

Teacher:  Roberto Ricciuti

Mathematics

Credits: 3.8

Language: English

Teacher:  Andrea Mazzon

Probability

Credits: 7.5

Language: English

Teacher:  Marco Minozzo

Mathematical Statistics

Credits: 5

Language: English

Teacher:  Lorenzo Frattarolo, Claudia Di Caterina

Continuous Time Econometrics

Credits: 5

Language: English

Teacher:  Chiara Amorino, Amorino Chiara, Cecilia Mancini

Macroeconomics I

Credits: 7.5

Language: English

Teacher:  Khalid W A Shomali, Alessia Campolmi

Microeconomics 1

Credits: 7.5

Language: English

Teacher:  Claudio Zoli, Martina Menon, Maurizio Malpede

Field Experiments

Credits: 1

Language: Italian

Teacher:  Pol Campos

Game Theory

Credits: 5

Language: English

Teacher:  Francesco De Sinopoli

Elements of Financial Risk Management

Credits: 2.5

Language: English

Teacher:  Prof. Kim Christensen

Stochastic Optimization and Control

Credits: 5

Language: English

Teacher:  Athena Picarelli

Financial Time Series

Credits: 5

Language: English

Teacher:  Giuseppe Buccheri

Job Market Orientation

Credits: 1

Language: English

Teacher:  Simone Quercia

Advice to Young Researchers

Credits: 4

Language: English

Teacher:  Marco Piovesan

Finanza Matematica

Credits: 5

Language: English

Teacher:  Guido Gazzani, Alessandro Gnoatto

Behavioral and Experimental Economics

Credits: 4

Language: English

Teacher:  Simone Quercia, Maria Vittoria Levati, Marco Piovesan

Stochastic Processes in Finance

Credits: 5

Language: English

Teacher:  Sara Svaluto-Ferro

Health Economics

Credits: 4

Language: English

Teacher:  Paolo Pertile

Development economics

Credits: 4

Language: English

Teacher:  Federico Perali

Political Economy

Credits: 4

Language: English

Teacher:  Emanuele Bracco, Roberto Ricciuti

Inequality

Credits: 4

Language: English

Teacher:  Francesco Andreoli, Claudio Zoli

Quantitative research methods

Credits: 6.8

Language: English

Teacher:  Luca Grassetti, Francesca Visintin, Laura Pagani

Credits

4

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

Research, the cornerstone of our discipline, is undeniably challenging. It is a path filled with trial and error, and yes, often more error than success. The best of researchers have wrestled with the same problems you will face. We often enter the field armed with theories and models, but the real world of research is uncharted and untamed, without a one-size-fits-all approach or magical formula. Misinformation and myths about what scholars do and how they succeed abound, creating false narratives about the profession. This course aims to dispel these myths and provide you with a realistic understanding of the academic landscape. By the end of this course, you will have engaged in open discussions about the realities of our profession, reflected deeply on your career trajectory, and leave with a clearer vision of how to mold your PhD experience into a stepping stone for a successful career. Whether you aspire to academia, industry, or policy, this course is your compass in the vast economic wilderness.

Prerequisites and basic notions

No prerequisites

Program

Module 1: Introduction to the purpose and learning outcomes of the course, discussion of market expectations for PhD graduates, strategies for choosing and refining a research topic, and developing a research agenda.
Module 2: Examination of the structure of scientific papers, mastery of the rhetoric of academic writing, understanding the journal review process, and preparation of a manuscript for submission.
Module 3: Peer review and improvement of draft introductions, analysis of best practices in scientific writing for clarity and precision, and guidance on designing tables and graphics.
Module 4: Strategies for effectively presenting research findings, delivering engaging talks and handling Q&A sessions, and understanding the importance of networking at seminars, conferences, and workshops.
Module 5: Techniques for developing a standout thesis and research portfolio, advice on securing funding through grant writing and aligning with funding bodies, and considerations for balancing teaching and academic service with research duties.

Didactic methods

Frontal teaching.

Learning assessment procedures

The final assessment replaces a traditional exam. It consists of preparing a professional application package (CV, cover letter, personal website) and the initial paragraphs of a grant proposal, as well as practicing for a mock job interview to demonstrate readiness for an academic career.

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 evaluation criteria are based on the ability to prepare a professional application package that is coherent and aligned with market expectations.

Criteria for the composition of the final grade

NA

Scheduled Lessons

When Classroom Teacher topics
Thursday 20 February 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Module 1: Introduction to the purpose and learning outcomes of the course, discussion of market expectations for PhD graduates, strategies for choosing and refining a research topic, and developing a research agenda.
Thursday 13 March 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Module 2: Examination of the structure of scientific papers, mastery of the rhetoric of academic writing, understanding the journal review process, and preparation of a manuscript for submission.
Thursday 10 April 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Module 3: Peer review and improvement of draft introductions, analysis of best practices in scientific writing for clarity and precision, and guidance on designing tables and graphics.
Thursday 08 May 2025
14:00 - 17:00
Duration: 3:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Module 4: Strategies for effectively presenting research findings, delivering engaging talks and handling Q&A sessions, and understanding the importance of networking at seminars, conferences, and workshops.
Wednesday 28 May 2025
14:00 - 18:00
Duration: 4:00 AM
Polo Santa Marta - SMT.07 [SMT.7 - terra] Marco Piovesan Module 5: Techniques for developing a standout thesis and research portfolio, advice on securing funding through grant writing and aligning with funding bodies, and considerations for balancing teaching and academic service with research duties.