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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
primo semestre (lauree) | Sep 28, 2020 | Dec 23, 2020 |
secondo semestre (lauree) | Feb 15, 2021 | Jun 1, 2021 |
Session | From | To |
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sessione invernale | Jan 11, 2021 | Feb 12, 2021 |
sessione estiva | Jun 7, 2021 | Jul 23, 2021 |
sessione autunnale | Aug 23, 2021 | Sep 17, 2021 |
Session | From | To |
---|---|---|
sessione autunnale (validità a.a. 2019/20) | Dec 9, 2020 | Dec 11, 2020 |
sessione invernale (validità a.a. 2019/20) | Apr 7, 2021 | Apr 9, 2021 |
sessione estiva (validità a.a. 2020/21) | Sep 6, 2021 | Sep 8, 2021 |
Period | From | To |
---|---|---|
Vacanze di Natale | Dec 24, 2020 | Jan 6, 2021 |
Vacanze di Pasqua | Apr 3, 2021 | Apr 6, 2021 |
Vacanze estive | Aug 9, 2021 | Aug 15, 2021 |
Exam calendar
Exam dates and rounds are managed by the relevant Economics Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Type D and Type F activities
years | Modules | TAF | Teacher |
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1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
years | Modules | TAF | Teacher |
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1° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinator)
|
1° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinator)
|
1° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinator)
|
years | Modules | TAF | Teacher | |
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1° | Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 | D |
Sergio Noto
(Coordinator)
|
|
1° | Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 | D |
Federico Brunetti
(Coordinator)
|
|
1° | Marketing plan - 2020/21 | D |
Virginia Vannucci
(Coordinator)
|
|
1° 2° 3° | Data Analysis Laboratory with R (Verona) | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° 3° | Data Visualization Laboratory | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° 3° | Python Laboratory | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° 3° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° 3° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° 3° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° 3° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° 3° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
Policy Design and Evaluation Laboratory (2022/2023)
Teaching code
4S008964
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/02 - ECONOMIC POLICY
Period
Secondo semestre (lauree) dal Feb 20, 2023 al May 31, 2023.
Learning objectives
The course completes the contents, both from a cultural and educational point of view, of the fundamental course of Political Economy that teaches the basic principles of welfare economics and market efficiency analysis from a social point of view. These notions are essential to understanding the impact of economic policies or shocks, such as the 2020 health emergency, on the well-being of citizens and firms’ efficiency, the supply of labor and the demand for consumer goods, and on the economy in general. The acquisition of basic knowledge concerns the typical tools of a laboratory devoted to the analysis of economic policies and to the economic interpretation of large economic data bases such as micro and macro-econometrics tools and mathematical programming tools for the analysis of social accounting matrices and simple equilibrium models connected to them. The skills that this approach based on the learning-by-doing principle (in this case by analysing data and economic policies related to real social problems) intends to develop concern the team work, considering that more students will work on the same or on more projects of interest, leadership (the project manager will be responsible for the quality of the result of the project itself), ability to solve problems also through co-creation processes of solutions based on the dialogue between the stakeholders of the project itself, and the ability to implement the same projects at and with companies or institutions that are stakeholders. These cognitive and non-cognitive skills, also of a transversal type such as communication skills within the group and skills in presenting results, autonomy of critical judgment and learning through practice, are fundamental for the cultural growth of the student and for his professional practice because the student will be able to take advantage of a set of analysis tools and interpretation of economic big data and models acquired in the laboratory that are supposed to be of great utility for the future profession.
Prerequisites and basic notions
Mathematics, micro and macro economics, econometrics and economic policy
Program
The course complements the contents of of Economic Policy, which teaches the basic principles of the economics of well-being and market analysis. These notions are fundamental for understanding the impact of economic policies or shocks, such as the health emergency of 2020, on the well-being of citizens and the efficiency of businesses, the supply of labor and the demand for consumer goods, and on the economy in general. The knowledge concerns the typical tools of an analysis laboratory of economic policies and of the large economic databases on which the analyzes are based: tools of micro and macro-econometrics and mathematical programming for the analysis of social accounting matrices and simple equilibrium models connected to them. The skills that this approach based on the principle of learning-by-doing (in this case analyzing real economic data and policies) intends to develop concern team work, considering that more students will work on the same or more projects of interest, leadership (the project leader will be responsible for the quality of the result of the project itself), for the ability to solve problems also through co-creation processes of solutions based on the dialogue between the stakeholders of the project itself, and the ability to implement the same projects at and with companies or institutions with stakeholders. These cognitive and non-cognitive skills, even of a transversal type such as communication skills within the group and skills in the presentation of results, autonomy of critical judgment and learning through practice, are fundamental for the cultural growth of the student and for his professional practice who will be able to benefit from a set of analysis and interpretation tools of economic big data and models acquired in the laboratory of great use in the world of work.
Bibliography
Didactic methods
Classroom meetings include the use of the blackboard and slide presentations, group discussions and exercises, students will be able to learn techniques of project evaluation and economic policies, collection and statistical and econometric analysis of data , economic interpretation of the results and drafting of a scientific report. Students will be able to deepen the topics covered in class through the material made available on the e-learning site dedicated to teaching and other material reported from time to time by the teacher. Students will work in groups that have been assigned a project. The groups will function as open workshops that allow students to learn from the experiences of other projects in the class. Students will learn by doing as leaders of projects for which they are responsible and will be personally involved in the phase of data collection (if they do not marry a project with data already available) and data analysis. The phase of problem analysis and solution proposals will be very important, possibly co-created with the stakeholders of the problem itself, possibly implementable in reality.
Learning assessment procedures
The exam verifies the level of achievement of the previously indicated training objectives. The exam consists in the completion of a scientific project report and a short presentation.
Evaluation criteria
The elements taken into consideration for the evaluation are: a) originality of the topic and of the analysis; b) scientific rigor of the presentation (use of economic and econometric models, graphs, tables and their interpretation); c) critical ability in the analysis of the topic. Plagiarism compromises the positive evaluation of the thesis.
Criteria for the composition of the final grade
The final grade is made up of 75% from the scientific project and 25% from active participation in the classroom.
Exam language
Italiano
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.