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 |
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primo semestre | Sep 15, 2014 | Jan 9, 2015 |
secondo semestre | Feb 19, 2015 | May 29, 2015 |
Session | From | To |
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sessione invernale | Jan 12, 2015 | Feb 18, 2015 |
sessione estiva | Jun 4, 2015 | Jul 11, 2015 |
sessione autunnale | Aug 24, 2015 | Sep 9, 2015 |
Session | From | To |
---|---|---|
sessione autunnale | Dec 12, 2014 | Dec 19, 2014 |
sessione invernale | Apr 8, 2015 | Apr 10, 2015 |
sessione estiva | Sep 10, 2015 | Sep 11, 2015 |
Period | From | To |
---|---|---|
festività natalizie | Dec 22, 2014 | Jan 5, 2015 |
festività pasquali | Apr 3, 2015 | Apr 7, 2015 |
vacanze estive | Aug 10, 2015 | Aug 22, 2015 |
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
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2° Year activated in the A.Y. 2015/2016
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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.
Business Statistics (2014/2015)
Teaching code
4S00522
Teacher
Coordinator
Credits
6
Also offered in courses:
- Business Statistics of the course Master’s degree in Marketing and Corporate Communication
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
primo semestre dal Sep 15, 2014 al Jan 9, 2015.
Learning outcomes
The course aims at providing students with the statistical methods for the analysis of business data from different areas of a firm, supporting the decision making process within a firm. Topics are introduced by illustrating common business issues whose solutions can be found by applying statistical methods. By the end of the course, students will be able to:
- select the proper statistical method for a specific business analysis;
- perform preliminary analysis of business data, and organize data in a data structure useful for the following statistical analysis;
- apply univariate and multivariate statistical methods to business data;
- interpret results and provide managers with synthetic information for business decisions.
Program
Data sources and statistical information for business.
Statistical indicators for business:
- simple index numbers;
- composite index numbers;
- consumer price indices and producer price indices;
- industrial production index.
Descriptive statistics for analysing business data:
- statistical indicators with application to customer data;
- the Lorenz curve and the analysis of customer concentration;
- statistical methods for customer segmentation: RFM and ABC analysis.
Multivariate statistical analysis of customer and business data:
- cluster analysis;
- principal component analysis.
Introduction to statistical quality control:
- control charts for qualitative data;
- control charts for quantitative data.
Business forecasting:
- delphi analysis;
- smoothing techniques: moving averages and exponential smoothing;
- techniques for decomposing economic time series.
Suggested book: B. Bracalente, M. Cossignani, A. Mulas (2009) Statistica Aziendale, McGraw-Hill, Milano.
Examination Methods
A mandatory written exam and an optional oral exam. Written exam is broken down into two parts:
- The first part comprises short-answer questions about the various 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 is optional and a cut-off score on the written exam is required to do the oral exam.
Type D and Type F activities
Modules not yet included
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.
List of thesis proposals
theses proposals | Research area |
---|---|
PMI (SMES) and financial performance | MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES |
Analisi dell'Impatto della Regolamentazione: potenziale e applicazioni concrete | Various topics |
Corporate governance, financial performance and international business | 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 |
I modelli organizzativi ex. d.lgs 231/2001: diffusione sul territorio | 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 |
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.