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 | Sep 30, 2019 | Dec 20, 2019 |
| secondo semestre magistrali | Feb 24, 2020 | May 29, 2020 |
| Session | From | To |
|---|---|---|
| Sessione invernale magistrali | Jan 7, 2020 | Feb 21, 2020 |
| Sessione estiva magistrali | Jun 3, 2020 | Jul 10, 2020 |
| Autumn Session exams | Aug 24, 2020 | Sep 11, 2020 |
| Session | From | To |
|---|---|---|
| Autumn Session | Dec 2, 2019 | Dec 4, 2019 |
| Winter Session | Apr 7, 2020 | Apr 9, 2020 |
| Summer session | Sep 7, 2020 | Sep 9, 2020 |
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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Bullini Orlandi Ludovico
ludovico.bulliniorlandi@univr.it 045 802 8095
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.
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year
| 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.
Business Analytics (BA) (2019/2020)
Teaching code
4S008099
Academic staff
Coordinatore
Credits
6
Scientific Disciplinary Sector (SSD)
SECS-P/10 - ORGANIZATION AND HUMAN RESOURCE MANAGEMENT
Language
Italian
Period
secondo semestre magistrali dal Feb 24, 2020 al May 29, 2020.
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
| 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 will be written (open questions).
Type D and Type F activities
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Parlare in pubblico e economic writing | D |
Martina Menon
(Coordinatore)
|
|
| 1° | Simulation and Implementation of Economic Policies | D |
Federico Perali
(Coordinatore)
|
|
| 1° 2° | Enactus Verona 2020 | D |
Paola Signori
(Coordinatore)
|
|
| 1° 2° | Samsung Innovation Camp | D |
Marco Minozzo
(Coordinatore)
|
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Parlare in pubblico e economic writing | D |
Martina Menon
(Coordinatore)
|
|
| 1° | Simulation and Implementation of Economic Policies | D |
Federico Perali
(Coordinatore)
|
|
| 1° 2° | Predictive analytics for business decisions - 2019/20 | D |
Claudio Zoli
(Coordinatore)
|
|
| 1° 2° | Professional communication for economics - 2019/20 | D |
Claudio Zoli
(Coordinatore)
|
|
| 1° 2° | Regulation, procurement and competition - 2019/20 | D |
Claudio Zoli
(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.
Graduation
Internships
Gestione carriere
Area riservata studenti
Linguistic training CLA
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.