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.

A.A. 2021/2022

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
Primo semestre Oct 4, 2021 Jan 28, 2022
Primo semestre 3 anno Oct 25, 2021 Jan 28, 2022
Secondo semestre Mar 7, 2022 Jun 10, 2022
Exam sessions
Session From To
Sessione invernale d'esame Jan 31, 2022 Mar 4, 2022
Sessione estiva d'esame Jun 13, 2022 Jul 29, 2022
Sessione autunnale d'esame Sep 1, 2022 Sep 29, 2022
Degree sessions
Session From To
Sessione di laurea estiva Jul 22, 2022 Jul 22, 2022
Sessione di laurea autunnale Oct 21, 2022 Oct 21, 2022
Sessione di laurea autunnale - Dicembre Dec 9, 2022 Dec 9, 2022
Sessione di laurea invernale Mar 17, 2023 Mar 17, 2023
Holidays
Period From To
Festa di Tutti i Santi Nov 1, 2021 Nov 1, 2021
Festa dell'Immacolata Dec 8, 2021 Dec 8, 2021
Festività natalizie Dec 24, 2021 Jan 2, 2022
Festività pasquali Apr 15, 2022 Apr 19, 2022
Festa della Liberazione Apr 25, 2022 Apr 25, 2022
FESTA DEL LAVORO May 1, 2022 May 1, 2022
Festa di San Zeno - S. Patrono di Verona May 21, 2022 May 21, 2022
Festa della Repubblica Jun 2, 2022 Jun 2, 2022
Chiusura estiva Aug 15, 2022 Aug 20, 2022

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

A B C D F G L M P S T U V Z

Assfalg Michael

michael.assfalg@univr.it +39 045 802 7949

Begalli Diego

diego.begalli@univr.it +39 045 8028731

Bolzonella David

david.bolzonella@univr.it 045 802 7965

Boschi Federico

federico.boschi@univr.it +39 045 802 7816 - 7272 (lab.)

Capitello Roberta

roberta.capitello@univr.it 045 802 8488

Dal Corso Giovanni

giovanni.dalcorso@univr.it (0039) 045 802 7950

Fasoli Marianna

marianna.fasoli@univr.it 045 802 7091

Favati Fabio

fabio.favati@univr.it +39 045 802 7919

Felis Giovanna

giovanna.felis@univr.it +390456835627

Gaeta Davide Nicola Vincenzo

davide.gaeta@univr.it 045 683 5632

Gobbi Bruno

bruno.gobbi@univr.it

Guzzo Flavia

flavia.guzzo@univr.it 045 802 7923

Lisanti Maria Tiziana

mariatiziana.lisanti@univr.it 0812532609

Meneghini Lorenzo

lorenzo.meneghini@univr.it

Mori Nicola

nicola.mori@univr.it 045 683 5628

Pandolfini Tiziana

tiziana.pandolfini@univr.it 045 802 7918

Piccinelli Fabio

fabio.piccinelli@univr.it +39 045 802 7097

Polverari Annalisa

annalisa.polverari@univr.it 045 8027064

Salvetti Elisa

elisa.salvetti@univr.it +39 045 8027917

Sidali Katia Laura

katialaura sidali@univr it 045 802 8592

Slaghenaufi Davide

davide.slaghenaufi@univr.it +39 045 683 5615

Tornielli Giovanni Battista

giovannibattista.tornielli@univr.it 045 6835623

Torriani Sandra

sandra.torriani@univr.it 045 802 7921

Ugliano Maurizio

maurizio.ugliano@univr.it 045 683 5626

Vandelle Elodie Genevieve Germaine

elodiegenevieve.vandelle@univr.it 0458027826

Varanini Zeno

zeno.varanini@univr.it 0458027830

Zamboni Anita

anita.zamboni@univr.it +39 045 8027901

Zapparoli Giacomo

giacomo.zapparoli@univr.it +390458027047

Zenoni Sara

sara.zenoni@univr.it 045 802 7941

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.

ModulesCreditsTAFSSD
12
A
(BIO/01 ,BIO/04)
6
A
(CHIM/06)
6
B
(AGR/01)
9
A/C
(MAT/05 ,SECS-S/01)
ModulesCreditsTAFSSD
15
B/C
(AGR/15)
12
B
(AGR/03)
Training
6
F
-
ModulesCreditsTAFSSD
12
B/C
(AGR/11 ,AGR/12)
12
B/C
(AGR/15)
Final exam
3
E
-

1° Year

ModulesCreditsTAFSSD
12
A
(BIO/01 ,BIO/04)
6
A
(CHIM/06)
6
B
(AGR/01)
9
A/C
(MAT/05 ,SECS-S/01)

2° Year

ModulesCreditsTAFSSD
15
B/C
(AGR/15)
12
B
(AGR/03)
Training
6
F
-

3° Year

ModulesCreditsTAFSSD
12
B/C
(AGR/11 ,AGR/12)
12
B/C
(AGR/15)
Final exam
3
E
-

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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S02690

Credits

9

Coordinatore

Lorenzo Meneghini

The teaching is organized as follows:

Statistica

Credits

3

Period

Secondo semestre

Academic staff

Bruno Gobbi

Matematica

Credits

6

Period

Primo semestre

Academic staff

Lorenzo Meneghini

Learning outcomes

The aim of this course is to provide, across the three modules, detailed knowledge concerning - the main methods of calculus and linear algebra, with application to modeling in natural sciences; - the main methods of univariate and bivariate descriptive statistics for the analysis of qualitative and quantitative data in the context of viticulture and oenology.

Program

------------------------
MM: MATEMATICA
------------------------
(PREREQUISITES: Algebraic, exponential and logarithmic equalities and inequalities.)

1) Functions. Limits. Continuity.
2) Derivation and differentiation of functions. Rolle's, Lagrange's and de l'Hospital's theorems and their consequences. Applications and examples.
3) Functions and their graphs. Function's graph and linear transformations. Applications to natural sciences.
4) Integration of functions of a single real variable. Applications and examples.
5) Simple examples of differential equations.
6) Linear systems and matrices: determinants, inverse matrix, Applications to natural sciences.
Each topic is discussed both from a theoretical and an empirical point of view, with special focus on applications.

(notes and slides available at link https://app.box.com/s/t2jamq852r8j93qhhxomjy4rmckmh5vy )

------------------------
MM: STATISTICA
------------------------
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.

Examination Methods

------------------------
MM: MATEMATICA
------------------------
Students 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. In the event of a health emergency, the examination procedures may undergo changes which will be communicated promptly.

------------------------
MM: STATISTICA
------------------------
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
------------------------------------------------------------------------------
The final grade 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.

The exam can be verbalized only after passing the exams related to both modules.

Bibliografia

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Type D and Type F activities

Le attività formative di tipologia D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite. Dal 1° dicembre 2021 al 27 febbraio 2022 e dal 2 maggio 2022 al 15 luglio 2022, tramite il presente modulo gli studenti possono richiedere l'inserimento di attività didattiche in TAF D ed F che non possono inserire autonomamente nel proprio piano di studi tramite la procedura on-line.

COMPETENZE LINGUISTICHE - dal 1° ottobre 2021 (Delibera del Consiglio della Scuola di Scienze e Ingegneria del 30 marzo 2021) per gli immatricolati dall'A.A. 2021/2022

  • Lingua inglese: vengono riconosciuti automaticamente 3 CFU per ogni livello di competenza superiore a quello richiesto dal corso di studio (se non già riconosciuto nel ciclo di studi precedente).
  • Altre lingue e italiano per stranieri: vengono riconosciuti automaticamente 3 CFU per ogni livello di competenza a partire da A2 (se non già riconosciuto nel ciclo di studi precedente).
Tali CFU saranno riconosciuti, fino ad un massimo di 6 CFU complessivi, di tipologia F se il piano didattico lo consente, oppure di tipologia D.
Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.

COMPETENZE TRASVERSALI
Scopri i percorsi formativi promossi dal  Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali:

Primo semestre From 10/4/21 To 1/28/22
years Modules TAF Teacher
Cellar door wine tourism D Katia Laura Sidali (Coordinatore)
Wine marketing D Diego Begalli (Coordinatore)
Secondo semestre From 3/7/22 To 6/10/22
years Modules TAF Teacher
New Grapevine Breeding techniques D Sara Zenoni (Coordinatore)

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.

Attendance

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.

Gestione carriere


Graduation


Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.