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 magistrali) | Oct 5, 2020 | Dec 23, 2020 |
| secondo semestre (lauree magistrali) | Mar 1, 2021 | Jun 1, 2021 |
| Session | From | To |
|---|---|---|
| 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
mariacaterina.baruffi@univr.it
Bullini Orlandi Ludovico
ludovico.bulliniorlandi@univr.it
045 802 8095
tomas.chiaramonte@univr.it
Cicogna Veronica
veronica.cicogna@univr.it
045 802 8246
massimo.melchiori@univr.it
francesca.rossignoli@univr.it
0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)
Vannucci Virginia
virginia.vannucci@univr.it
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 |
|---|
1 module between the following2° Year activated in the A.Y. 2021/2022
| Modules | Credits | TAF | SSD |
|---|
1 module between the following1 module between the following1 module between the following| Modules | Credits | TAF | SSD |
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1 module between the following| Modules | Credits | TAF | SSD |
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1 module between the following1 module between the following1 module between the following| 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.
Statistics for Business (2020/2021)
Teaching code
4S008094
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
primo semestre (lauree magistrali) dal Oct 5, 2020 al Dec 23, 2020.
Learning outcomes
The course aims to provide the basic knowledge for the collection, management and analysis of data of interest in the managerial field. Students' previous statistical knowledge will be integrated with the main statistical sampling techniques for data collection, some of the most widespread techniques for the analysis of time series data, the multiple linear regression, and the most recent techniques for data science in the business context. All these techniques will be discussed in specific areas of application: market research, customer analysis, management control, production process control, sales analysis and forecasting. Special attention will be devoted to some of the most widespread software for data science and business intelligence. At the end of the course, students should demonstrate a good level of understanding both theoretically and practically of the main statistical methods for the analysis of business phenomena, in the light of the available data and the managerial needs. They should also be able to interpret critically the gathered information and the results obtained from the analyses with the aim to supply useful suggestions in support of business decisions.
Program
1) Data sources:
Primary and secondary data.
Internal and external data sources.
2) Probabilistic and non-probabilistic sampling for sample survey:
Review of estimation theory.
Probabilistic sampling design.
Probabilistic sampling for variables.
Determination of the sampling size.
3) Customer analysis:
Pareto chart.
Concentration analysis. The Gini coefficient.
4) Statistical Analysis of sales data. Time Series analysis:
Time series decomposition in trend, seasonality and error.
Moving averages method.
5) Introduction to statistical quality control:
Statistical process control.
Control charts for variables.
6) Introduction to Business Intelligence. Techniques of data visualization.
The course is taught by lectures.
Lecture slides and other learning materials are available on the e-learning website.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| M. R. Middleton | Analisi statistica con Excel | Apogeo, Milano | 2004 | ||
| D. Clark | Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop (Edizione 2) | Apress | 2017 | 9781484225769 | |
| R. Sleeper | Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master | O'Reilly Media, Inc. | 2018 | 9781491977316 | |
| B. Bracalente, M. Cossignani, A. Mulas | Statistica Aziendale | McGraw-Hill | 2009 | ||
| Luigi Biggeri, Matilde Bini, Alessandra Coli, Laura Grassini, Mauro Maltagliati | Statistica per le decisioni aziendali (Edizione 2) | Pearson Italia | 2017 |
Examination Methods
Given the COVID-19 sanitary emergency, more information on examination method will be provided as soon as possible according to the guidelines adopted by the University.
Type D and Type F activities
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| 1° 2° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinator)
|
| 1° 2° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinator)
|
| 1° 2° | Soft skills coaching days Vicenza (terza edizione) - 2020/2021 | D |
Paola Signori
(Coordinator)
|
| 1° 2° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinator)
|
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 also via the Univr app.
Linguistic training CLA
Graduation
The final exam consists of a paper in written form of at least 80 pages, exploring a topic of the student's choice relating to one of the subjects in the student's syllabus. The topic and title of the paper must be selected in agreement with a university lecturer from one of the SSDs included in the student's syllabus. The work must be developed under the guidance of the lecturer. The thesis is the subject of an oral presentation and discussion in front of a Degree Committee on one of the dates established explicitly in the calendar of teaching activities. In agreement with the Supervisor, the thesis may be written, and the discussion may take place in English.
Internships
The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.
Gestione carriere
Student login and resources
Method of attendance, teaching delivery and locations
The lectures on all the subjects of the course of study and the related examinations take place in person.
However, as a further service to students, it is also envisaged that, unless otherwise announced by the individual lecturer, lectures will be video-recorded and made available on the relevant e-learning spaces of the lectures a few weeks after they have taken place. Exceptions to this timing will only be possible for part-time students.
Attendance is not compulsory.
Further details on compulsory attendance can be found in the course regulations available under Regulations in the Course menu. Although the regulations do not stipulate a specific obligation, please check the instructions provided by the individual lecturer for each course or any laboratories and/or internships.
Part-time enrolment is permitted.
The venue for lectures and examinations is the Vicenza University Hub.
