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. 2020/2021

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 (lauree magistrali) Oct 5, 2020 Dec 23, 2020
secondo semestre (lauree magistrali) Mar 1, 2021 Jun 1, 2021
Exam sessions
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
Degree sessions
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
Holidays
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.

Exam calendar

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

Academic staff

B C F G M N P R S V Z

Baruffi Maria Caterina

mariacaterina.baruffi@univr.it

Beretta Zanoni Andrea

andrea.berettazanoni@univr.it 045 802 8691 (VR) 0444 393931 (VI)

Bertoli Paola

paola.bertoli@univr.it 045 8028 502

Bonfanti Angelo

angelo.bonfanti@univr.it 045 802 8292

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Cantele Silvia

silvia.cantele@univr.it 045 802 8220 (VR) - 0444 393943 (VI)

Cassia Fabio

fabio.cassia@univr.it 0458028689

Chiarini Andrea

andrea.chiarini@univr.it 045 802 8223

Cicogna Veronica

veronica.cicogna@univr.it 045 802 8246

Cobelli Nicola

nicola.cobelli@univr.it 0458028295

Confente Ilenia

ilenia.confente@univr.it 045 802 8174

Florio Cristina

cristina.florio@univr.it 045 802 8296

Goldoni Giovanni

giovanni.goldoni@univr.it 045 802 8792

Melchiori Massimo

massimo.melchiori@univr.it

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Noto Sergio

elefante@univr.it 045 802 8008

Perali Federico

federico.perali@univr.it 045 802 8486

Pilati Andrea

andrea.pilati@univr.it 045 802 8444 (VR) - 0444 393938 (VI)

Rossignoli Cecilia

cecilia.rossignoli@univr.it 045 802 8173

Rossignoli Francesca

francesca.rossignoli@univr.it 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Scricciolo Catia

catia.scricciolo@univr.it 045 802 8341

Signori Paola

paola.signori@univr.it 0444 393942 (VI) 045 802 8492 (VR)

Stacchezzini Riccardo

riccardo.stacchezzini@univr.it 045 802 8186

Vannucci Virginia

virginia.vannucci@univr.it

Vernizzi Silvia

silvia.vernizzi@univr.it 045 802 8168 (VR) 0444 393937 (VI)

Zardini Alessandro

alessandro.zardini@univr.it 045 802 8565

Zarri Luca

luca.zarri@univr.it 045 802 8101

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
1 module between the following
9
B
(SECS-P/07)
1 module between the following
1 module between the following
9
B
(SECS-P/08)
1 module between the following
6
C
(SECS-P/13)
English B2 level
4
F
-
ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
Stage
5
F
-
Final exam
15
E
-

1° Year

ModulesCreditsTAFSSD
1 module between the following
9
B
(SECS-P/07)
1 module between the following
1 module between the following
9
B
(SECS-P/08)
1 module between the following
6
C
(SECS-P/13)
English B2 level
4
F
-

2° Year

ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
Stage
5
F
-
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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

4S008099

Credits

6

Scientific Disciplinary Sector (SSD)

SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT

Language

Italian

Period

secondo semestre (lauree magistrali) dal Mar 1, 2021 al Jun 1, 2021.

Learning outcomes

This course aims to introduce students to the concept and techniques of Business Analytics models, but also the new role of the "Business Analyst" within the organization. Particularly in the first part of this course, it will be used the POPIT(TM) model. Therefore, the data analysis and the interpretation of the information must always be aligned with: human resources (skills), the organizational environment, processes, and technologies. Taking as a reference the KPIs (Key Process Indicators), deriving from the business processes previously defined through the BPMN language, they will be analyzed and evaluated in real-time to create reports or dashboards to support the decision-making process. The data in addition to being used for the decision-making process, for the operational part, will also be used to align the POPIT(TM) components with the corporate business model better. This analysis will be conducted through the use of Business Intelligence tools to better respond to market needs. In the second part of the course, starting from historical series and external destructured data (through Big Data) we will proceed with the realization of predictive models to support managers in their strategic and operational decisions.

Program

The course aims to provide students with the fundamental concepts for reading, and to analyze enterprise data, to generate predictive models to support the decision-making process. The contents of the course can be summarized as follows:
1. Business Process Management, and the model POPITTM (People, Organization, Process, e IT).
2. Business Process Mapping, Analysis, and re-Engineering.
3. BPMN (Business Process Model Notation) for business integration.
4. DataWare House.
5. Business Intelligence tools.
6. Data analysis (querying, reporting, clustering, etc.).
7. Predictive Analysis (correlation, supervised regressions, etc.).
8. Introduction to Big Data.
9. People analytics.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Davenport T.H., Harris G.J. Competere con gli analytics. La nuova scienza per vincere nel business (Edizione 1) Franco Angeli edizioni 2019 9788891781086

Examination Methods

The final test is written. Mainly, it is composed of 3 open questions.

Type D and Type F activities

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
1° 2° Future matters D Alessandro Bucciol (Coordinatore)
1° 2° Future matters D Alessandro Bucciol (Coordinatore)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
1° 2° The fashion lab (2 ECTS) D Maria Caterina Baruffi (Coordinatore)
1° 2° The fashion lab (3 ECTS) D Maria Caterina Baruffi (Coordinatore)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
1° 2° Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinatore)
1° 2° Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinatore)
1° 2° Soft skills coaching days Vicenza (terza edizione) - 2020/2021 D Paola Signori (Coordinatore)
1° 2° Wake up Italia - 2020/2021 D Sergio Noto (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinatore)
1° 2° Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinatore)
1° 2° Corso di lingua tedesca - livello a1 (1 cfu) - 2020 (2020/2021) D Giorgio Mion (Coordinatore)
1° 2° Corso di lingua tedesca - livello a1 (3 cfu) - 2020 (2020/2021) D Giorgio Mion (Coordinatore)
1° 2° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinatore)
1° 2° Marketing plan - 2020/21 D Virginia Vannucci (Coordinatore)
1° 2° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° Programming in SAS D Marco Minozzo (Coordinatore)
Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (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.

Linguistic training CLA


Graduation


Internships


Gestione carriere


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.