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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
I sem. Oct 3, 2016 Jan 31, 2017
I sem.- 3° anno Nov 2, 2016 Jan 31, 2017
II sem. Mar 1, 2017 Jun 9, 2017
Exam sessions
Session From To
Sessione invernale Appelli d'esame Feb 1, 2017 Feb 28, 2017
Sessione estiva Appelli d'esame Jun 12, 2017 Jul 31, 2017
Sessione autunnale Appelli d'esame Sep 1, 2017 Sep 29, 2017
Degree sessions
Session From To
Sessione estiva Appelli di Laurea Jul 21, 2017 Jul 21, 2017
Sessione autunnale Appelli di laurea Nov 24, 2017 Nov 24, 2017
Sessione invernale Appelli di laurea Mar 23, 2018 Mar 23, 2018
Period From To
Festa di Ognissanti Nov 1, 2016 Nov 1, 2016
Festa dell'Immacolata Concezione Dec 8, 2016 Dec 8, 2016
Vacanze di Natale Dec 23, 2016 Jan 8, 2017
Vacanze di Pasqua Apr 14, 2017 Apr 18, 2017
Anniversario della Liberazione Apr 25, 2017 Apr 25, 2017
Festa del Lavoro May 1, 2017 May 1, 2017
Festa della Repubblica Jun 2, 2017 Jun 2, 2017
Vacanze estive Aug 8, 2017 Aug 20, 2017

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering 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.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff


Begalli Diego

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Bolzonella David

symbol email symbol phone-number 045 802 7965

Boschi Federico

symbol email symbol phone-number +39 045 802 7272
Foto Maurizio Boselli,  October 19, 2013

Boselli Maurizio

symbol email symbol phone-number 045 6835628

Capitello Roberta

symbol email symbol phone-number 045 802 8488

Favati Fabio

symbol email symbol phone-number +39 045 802 7919

Felis Giovanna

symbol email symbol phone-number +390456835627

Gaeta Davide Nicola Vincenzo

symbol email symbol phone-number 045 683 5632

Guzzo Flavia

symbol email symbol phone-number 045 802 7923

Meneghini Lorenzo

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Mori Nicola

symbol email symbol phone-number 045 683 5628

Pandolfini Tiziana

symbol email symbol phone-number 045 802 7918

Pezzotti Mario

symbol email symbol phone-number +39045 802 7951

Piccinelli Fabio

symbol email symbol phone-number +39 045 802 7097

Polverari Annalisa

symbol email symbol phone-number 045 6835629

Speghini Adolfo

symbol email symbol phone-number +39 045 8027900

Tornielli Giovanni Battista

symbol email symbol phone-number 045 6835623

Torriani Sandra

symbol email symbol phone-number 045 802 7921

Ugliano Maurizio

symbol email symbol phone-number 045 683 5626

Varanini Zeno

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Zamboni Anita

symbol email symbol phone-number +39 045 8027901

Zenoni Sara

symbol email symbol phone-number 045 802 7941

Zuccolotto Paola

symbol email symbol phone-number ++39-030-2988634 (presso Università degli Studi di Brescia)

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 enrolment year.


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.

S Placements in companies, public or private institutions and professional associations

Teaching code






Scientific Disciplinary Sector (SSD)



II sem. dal Mar 1, 2017 al Jun 9, 2017.

To show the organization of the course that includes this module, follow this link:  Course organization

Learning outcomes

Aim of this course is to present, both from a theoretical and an empirical point of view, the main methods of univariate and bivariate descriptive statistics for the analysis of qualitative and quantitative data in the context of viticulture and oenology. The educational objectives have been developed with reference to Dublin descriptors, they are consistent with those characterizing the 1st cycle degree program in which the course is inserted and have been defined in coordination with those of Mathematics module, with which it forms a unique course.
More specifically, students who successfully complete this course will be able to:
- collect, analyze and interpret statistical data, both qualitative and quantitative, and organize results in order to draw conclusions and decide in uncertain situations;
- communicate, to experts and non-experts, statistical information and evaluations, also with the help of graphical devices.
By means of a gradual learning process, linking the contents of this course with the educational objectives characterizing the 1st cycle degree programs in which the course is inserted, students will acquire the methodological
and applied knowledge about the basic concepts of descriptive statistics (statistical ratios, means, variability, inequality/concentration, association, correlation and regression) necessary for the professional training.


1) Introduction to statistical data analysis: approaches and main topics

2) Univariate descriptive statistics:
- Dynamic analysis by means of ratios
- Frequency distributions
- Location indices: Mode, median, percentiles, algebraic means
- Heterogeneity and variability and indices: Gini Index, Shannon entropy, range, absolute deviations, standard deviation, variance.

3) Bivariate descriptive statistics:
- Joint frequency distributions
- Analysis of association
- Analysis of mean dependence
- Analysis of linear correlation
- Simple linear regression

Each topic is discussed both from a theoretical and an empirical point of view, with special focus on case studies dealing with problems arising in the context of viticulture and oenology.

Reference texts
Author Title Publishing house Year ISBN Notes
M. Montinaro, G. Nicolini Elementi di Statistica descrittiva UTET 2007 9788860081230

Examination Methods

Students (regardless whether or not they attended lessons) are evaluated by means of a written comprehensive examination, composed of exercises and questions. A time of 2 hours is scheduled. The grades are on a scale of 30.

Rules for defining the final grade of the Mathematics and Statistics course, which summarizes the tests carried out in the two modules:
(1) A module is successfully completed if the student achieves a score of at least 15/30.
(2) The examination of Mathematics and Statistics shall be passed only if both modules are successfully completed, provided that the average of the two scores, calculated as shown in (3), is not less than 18/30.
(3) The final mark is calculated as the average of the scores obtained in the two modules weighted by the number of credits; in the computation of the average, at 30 cum laude obtained in a module is assigned a score of 31; in the case of a non-integer result, the mark is rounded upward; in the case of an average of at least 30, the final mark will be 30 cum laude.


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.


For schedules, administrative requirements and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.


As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance is mandatory for practical and laboratory activities, unless otherwise determined by the Teaching Committee.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Career management

Area riservata studenti