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 Magistrali | Oct 2, 2017 | Dec 22, 2017 |
Secondo Semestre Magistrali | Feb 26, 2018 | May 25, 2018 |
Session | From | To |
---|---|---|
Esami sessione invernale Magistrali | Jan 8, 2018 | Feb 23, 2018 |
Esami sessione estiva Magistrali | May 28, 2018 | Jul 6, 2018 |
Esami sessione autunnale 2018 | Aug 27, 2018 | Sep 14, 2018 |
Session | From | To |
---|---|---|
Lauree sessione autunnale (validità a.a. 2016/17) | Nov 27, 2017 | Nov 28, 2017 |
Lauree sessione invernale (validità a.a. 2016/17) | Apr 4, 2018 | Apr 6, 2018 |
Lauree sessione estiva (validità a.a. 2017/18) | Sep 10, 2018 | Sep 11, 2018 |
Period | From | To |
---|---|---|
All Saints Day | Nov 1, 2017 | Nov 1, 2017 |
Festa Immacolata Concezione | Dec 8, 2017 | Dec 8, 2017 |
attività sospese (Natale) | Dec 23, 2017 | Jan 7, 2018 |
Easter break | Mar 30, 2018 | Apr 3, 2018 |
Liberation Day | Apr 25, 2018 | Apr 25, 2018 |
attività sospese (Festa dei lavoratori) | Apr 30, 2018 | Apr 30, 2018 |
Labour Day | May 1, 2018 | May 1, 2018 |
Festa Patronale | May 21, 2018 | May 21, 2018 |
attività sospese estive | Aug 6, 2018 | Aug 24, 2018 |
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.
Academic staff
Mussini Mauro
mauro.mussini@univr.itStudy 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. 2018/2019
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 | |
---|---|---|---|---|
1° | An Introduction to the History of Economics and Business Economics | D |
Sergio Noto
(Coordinator)
|
|
1° 2° | Laboratorio di metodologia della ricerca: data analysis mediante excel per le decisioni aziendali | D |
Giorgio Mion
(Coordinator)
|
|
1° 2° | Methodological research lab: Natural Experiments for the social science | D |
Alessandro Zardini
(Coordinator)
|
|
1° 2° | Research methodology laboratory: focus groups: design and application | D |
Angelo Bonfanti
(Coordinator)
|
|
1° 2° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
|
1° 2° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
Business Statistics (2017/2018)
Teaching code
4S00522
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
Primo Semestre Magistrali dal Oct 2, 2017 al Dec 22, 2017.
Learning outcomes
The course aims at providing the knowledge needed to collect and analyse useful data for business management, supporting the decision-making process within a firm. In a business environment that needs to analyse increasing amounts of data, the application of appropriate statistical methods to business data provides information supporting management decisions. The course intends to discuss the rationale behind the application of statistical methods to business data and to explain their application fields. On these premises, topics are introduced by considering the information needs that can be met through statistical methods, focusing on the reasons for applying statistical tools to practical cases. The definition of the data describing a business concept and the selection of the relevant data source are necessary to meet the information needs above.
By the end of the course, students are expected to acquire:
- the knowledge of the data sources that can be used to meet information needs;
- the knowledge of the statistical methods for business analysis, according to available data and information needs;
- the ability to apply univariate and multivariate statistical methods to data;
- the ability to interpret results and provide information supporting management decisions.
Program
Data sources and statistical information for business
- Primary and secondary data
- Internal and external sources of data
Economic and business indicators
- Simple index numbers
- Composite index numbers
- Consumer price indices and producer price indices
- Measures of real and nominal variations in economic aggregates
- Measures of productivity variation
- Turnover rates
- Career transition measures
Descriptive statistics for analysing business data
- Market basket analysis
- Correlation between business variables
- Distance measures between statistical units
Multivariate statistical analysis for business data and company business performances
- Multiple and simple linear regression models for analysing business performances
- Cluster analysis on business data
- Principal components analysis on accounting ratios
Statistical quality control in business
- Control chart for variables
- Control chart for attributes
- Process capability ratios
- Analysis of variance
- Statistical sampling in auditing
Business forecasting
- Delphi analysis
- Smoothing techniques: moving averages and exponential smoothing
- Techniques for decomposing economic time series applied to business forecasting
The course is organized in frontal lessons. The exam preparation material includes the recommended textbook and additional materials available on the e-learning platform of the course.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Luigi Biggeri, Matilde Bini, Alessandra Coli, Laura Grassini, Mauro Maltagliati | Statistica per le decisioni aziendali (Edizione 2) | Pearson Italia | 2017 |
Examination Methods
The assessment of learning outcomes consists of a mandatory written exam and an optional oral exam. Only students with a score equal to or higher than 18/30 on the written exam can take the oral exam.
Exam purposes
The written exam (mandatory) assesses the level of knowledge of the course topics, and the ability to apply statistical methods for business and the interpretation of results.
The oral exam (optional) assesses:
- level of student’s knowledge;
- lexical proficiency;
- analytical skills.
Exam contents
Written exam is broken down into two parts:
- The first part comprises short-answer questions about all topics of the course.
- The second part comprises i) an open question about a specific topic of the course, ii) two exercises in which students are asked to apply statistical methods for business data analysis and to interpret the results.
Oral exam covers all topics of the course.
Assessment criteria
The exam score is on a 30-point scale. The first part of the written test awards up to 10 points, out of 30. The second part of the written test awards up to 20 points, out of 30. The passing score for the written exam is 18/30. Only students who passed the written exam (mandatory) can take the oral exam (optional).
The final score is on a 30-point scale.
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.
Linguistic training CLA
Graduation
List of theses and work experience proposals
theses proposals | Research area |
---|---|
Analisi dell'Impatto della Regolamentazione: potenziale e applicazioni concrete | Various topics |
Costs and benefits of the new Turin-Lyon railway line | Various topics |
Costs and benefits of new systems for speed control on italian motorways | Various topics |
Il futuro del corporate reporting (COVID19) | Various topics |
I Modelli di Organizzazione, Gestione e Controllo ex d.lgs. 231/2001 | Various topics |
Contingent valuation for the quality of hospital characteristics | Various topics |
Evaluating occupational impacts of large investment projects | Various topics |
Valutazioni d'azienda | Various topics |