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
primo semestre (lauree) Sep 28, 2020 Dec 23, 2020
secondo semestre (lauree) Feb 15, 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 Enrollment FAQs

Academic staff

B C D F M N P S T V

Brunetti Federico

symbol email federico.brunetti@univr.it symbol phone-number 045 802 8494

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Castellani Paola

symbol email paola.castellani@univr.it symbol phone-number 045 802 8127

Demo Edoardo

symbol email edoardo.demo@univr.it symbol phone-number 045 802 8782 (VR) 0444.393930 (VI)

Fiorentini Riccardo

symbol email riccardo.fiorentini@univr.it symbol phone-number 0444 393934 (VI) - 045 802 8335(VR)

Menon Martina

symbol email martina.menon@univr.it

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Mion Giorgio

symbol email giorgio.mion@univr.it symbol phone-number 045.802 8172

Noto Sergio

symbol email sergio.noto@univr.it symbol phone-number 045 802 8008

Perali Federico

symbol email federico.perali@univr.it symbol phone-number 045 802 8486

Peretti Alberto

symbol email alberto.peretti@univr.it symbol phone-number 0444 393936 (VI) 045 802 8238 (VR)

Scola Sara

symbol email sara.scola@univr.it symbol phone-number (+39) 045 8425322

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0458028492

Tescaro Mauro

symbol email mauro.tescaro@univr.it symbol phone-number 045 8425380
Virginia Vannucci,  October 25, 2020

Vannucci Virginia

symbol email virginia.vannucci@univr.it

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 enrollment year.

1° Year

ModulesCreditsTAFSSD
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
9
B
SECS-P/01

3° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
Training
6
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
Training
6
F
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°

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

4S009618

Coordinator

Marco Minozzo

Credits

3

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Not yet assigned

Learning outcomes

The course "Data Analysis Laboratory with R" is an optional "type f" activity, which allows to students to obtain 3 CFU, once a final examination is passed. In particular:

- The course is open to all CdL and CdLM students of the Vicenza campus of the School of Economics and Management.

- Due to the COVID-19 emergency, this year lessons will be delivered online through Zoom meetings. Each course has, approximately, 50 places.

- There will be two courses, one in the first semester and another one in the second semester.

- Requests for participation will be considered following the registration order, considering that priority will be given to CdLM students, in particular to students of the Master’s degree in International Economics and Business. Students are required to be present at the first lesson, or to send an email to the tutor to communicate their absence.

- Participation to the course does not require any particular background knowledge of the software R.

- The frequency to the classes is compulsory. Students are required to attend at least 2/3 of the exercise lessons and tutorial activities in order to be admitted to the final evaluation.

The course consists of 18 hours of exercise lessons and tutorial activities (plus 2 hours of final examination).

The calendar of the course of the first semester will be available as soon as possible.

The calendar of the course of the second semester will be available as soon as possible.

Tutor (first semester): dott. Luca Bisognin
Tutor (second semester): dott. Alessandro Cipolla


For the course of the first semester, it is possible to register from the 13th of October 2020 to the 18th of October 2020.

For the courses of the second semester, it is possible to register from the 13th of October 2020 to the 28th of February 2021.

Please, register through the elearning platform (Moodle). Students without a university IT account can ask to be registered by writing an email to the coordinator of the course. All other students must use the procedure on Moodle.

Program

R is an open-source software for statistical computing. Created at the end of the 1990s from the S software, R is a multi-paradigm language that over the course of two decades has acquired a central role among statistical software, thanks also to the development of more than 16000 packages implementing techniques and methods coming from the most diverse fields of methodological and applied statistics. In recent years, thanks to the development of an entire family of packages aimed at simplifying and organizing on a new basis the programming methods and the interaction with R, the software has found new opportunities to express its potential to the fullest. The R language, together with Python, is now considered the reference language in modern data science and, in particular, for machine learning. It easily interfaces with many other software such as Excel, Tableau, Microsoft Power BI etc.

The course aims to provide the basics of the programming and operating philosophy of the R software, introducing the participants to some of the most recent innovations. After the introduction of the R language and of R Studio (the most used IDE for R), the course will focus on the following topics: data processing and manipulation techniques, advanced graphical tools for statistical analysis, graphic representation of geo-referenced information, regression analysis, Monte Carlo simulations, automatic reporting and production of interactive documents.

Reference texts
Author Title Publishing house Year ISBN Notes
Hadley Wickham Advanced R (Edizione 1) CRC Press, Taylor & Francis Group 2015 9781466586970
Espa G., Micciolo R. Analisi esplorativa dei dati con R Apogeo 2012 978-88-503-3031-7
Ronald K. Pearson Exploratory Data Analysis Using R (Edizione 1) CRC Press, Taylor & Francis Group 2018 9781138480605
Marco Bee, Flavio Santi Finanza quantitativa con R (Edizione 1) Apogeo Education 2013 9788838787041
Hadley Wickham ggplot2: Elegant Graphics for Data Analysis (Edizione 1) Springer 2009 9780387981413
Francesca Ieva, Chiara Masci, Anna Maria Paganoni Laboratorio di Statistica con R (Edizione 2) Pearson 2016 9788891901521
Christopher P. Adams Learning Microeconometrics with R (Edizione 1) Chapman and Hall/CRC 2021 9780367255381
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton Modern Data Science with R (Edizione 1) CRC Press, Taylor & Francis Group 2017 978-1-4987-2448-7
Giuseppe Espa, Rocco Micciolo Problemi ed esperimenti di statistica con R (Edizione 1) Apogeo Education 2013 9788838786105
Hadley Wickham, Garrett Grolemund R for Data Science (Edizione 1) O'Reilly 2016 9781491910399
Ngai Hang Chan, Hoi Ying Wong Simulation Techniques in Financial Risk Management (Edizione 1) Wiley 2015 9781118735817
M. Bécue-Bertaut Textual Data Science with R (Edizione 1) CRC Press, Taylor & Francis Group 2018 9781138626911
Graham J. Williams The Essentials of Data Science: Knowledge Discovery Using R (Edizione 1) CRC Press, Taylor & Francis Group 2017 9781138088634

Examination Methods

Students are required to attend at least 2/3 of the exercise lessons/tutorial activity in order to be admitted to the final evaluation. The final examination, which will take place online through a Zoom meeting, will consist in a written exam, followed by an oral examination, if necessary, on the use of the software R. There will be just one date for the final examination.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Type D and Type F activities

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
Future matters D Alessandro Bucciol (Coordinator)
Future matters D Alessandro Bucciol (Coordinator)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinator)
Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinator)
Soft skills coaching days Vicenza (terza edizione) - 2020/2021 D Paola Signori (Coordinator)
Wake up Italia - 2020/2021 D Sergio Noto (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinator)
Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinator)
Communication Lab for press office and PR (in Italian) D Paola Signori (Coordinator)
Marketing plan - 2020/21 D Virginia Vannucci (Coordinator)
Soft skills coaching days - 2020/21 D Paola Signori (Coordinator)
1° 2° 3° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinator)
1° 2° 3° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° 3° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° 3° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° 3° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° 3° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° 3° Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° 3° Programming in SAS D Marco Minozzo (Coordinator)

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 soon also via the Univr app.

Graduation


Student mentoring


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Student login and resources