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.
Type D and Type F activities
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Economics and data analysis - Enrollment from 2025/2026| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Marketing plan | D |
Virginia Vannucci
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Data Analysis Laboratory with R (Verona) | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Data Visualization Laboratory | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Python Laboratory | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Samsung Innovation Camp | D |
Marco Minozzo
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public | D |
Federico Brunetti
(Coordinator)
|
| 1° 2° | Data Discovery for Business Decisions- 2021/2022 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Elements of Financial Risk Management - 2021/2022 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | English for business and economics | F |
Claudio Zoli
|
| 1° 2° | Integrated Financial Planning | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Introduction to Business Plan-2021/2022 | D |
Paolo Roffia
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | La metodologia SEM applicata allo studio della relazione tra gestione del rischio e performance nelle PMI | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Laboratory on research methods for business | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Professional Communication for Economics A.A. 2021-22 | D |
Claudio Zoli
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | How to Enter in a Foreign Market. Theory and Applications - 2021/2022 | D |
Angelo Zago
(Coordinator)
|
Project Apprisal (2021/2022)
Teaching code
4S008981
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/02 - ECONOMIC POLICY
Period
secondo semestre (lauree magistrali) dal Feb 21, 2022 al May 13, 2022.
Learning outcomes
The course focuses on the ex-ante and ex-post economic evaluation of projects with major impacts from the societal standpoint, including those for which the information provided by relevant markets is incomplete. The discussion of the theoretical background, mainly based on applied "welfare economics" will be carried on along with the introduction to the techniques typically employed to tackle practical issues in ex-ante and ex-post economic evaluation. Upon completion of the course, students will be able to identify an appropriate evaluation method, based on the characteristics of the project, and to apply the relevant techniques to real world situations. Case studies from a variety of fields will be presented and empirical exercises with real world data will be performed in the computer lab. During the course, students will be given the opportunity to work in group on a specific case study and present it in class.
Program
- Financial and economic evaluation in the project life-cycle
- Applied “welfare economics”: evaluation with market imperfections
- From market prices to shadow prices: alternative approaches
- Economic evaluation of non-market goods with a focus on environmental impacts
- Risk assessment
- EU guidelines for cost-benefit analysis of investment projects (available at: http://ec.europa.eu/regional_policy/sources/docgener/studies/pdf/cba_guide.pdf)
- Introduction to software programming for project appraisal
- Case studies
Bibliography
Examination Methods
The evaluation will be based on a written exam (including both theoretical and practical questions). The ability to apply concepts to real-world situations and the understanding of theory and methods are essential to obtain the highest marks. Students can choose to have part of the assessment based on a project assignment, which gives them the opportunity to apply theoretical concepts and methods learnt during the course to a real-world problem.
