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 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 D F G M N P R S V Z

Bertoli Paola

paola.bertoli@univr.it 045 8028 508

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Buccheri Giuseppe

giuseppe.buccheri@univr.it 045 8028525

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Campolmi Alessia

alessia.campolmi@univr.it 045 802 8071

Cantele Silvia

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

Chesini Giuseppina

giusy.chesini@univr.it 045 802 8495 (VR) -- 0444/393938 (VI)

Ciampi Annalisa

annalisa.ciampi@univr.it 045 802 8061

Cipriani Giam Pietro

giampietro.cipriani@univr.it 045 802 8271

De Sinopoli Francesco

francesco.desinopoli@univr.it 045 842 5450

Di Caterina Claudia

claudia.dicaterina@univr.it 0458028247

Florio Cristina

cristina.florio@univr.it 045 802 8296

Fratea Caterina

caterina.fratea@univr.it 045 802 8858

Gaudenzi Barbara

barbara.gaudenzi@univr.it 045 802 8623

Malpede Maurizio

maurizio.malpede@univr.it

Matteazzi Eleonora

eleonora.matteazzi@univr.it 045 8028741

Menon Martina

martina.menon@univr.it

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Nicodemo Catia

catia.nicodemo@univr.it +39 045 8028340

Pellegrini Letizia

letizia.pellegrini@univr.it 045 802 8345

Perali Federico

federico.perali@univr.it 045 802 8486

Pertile Paolo

paolo.pertile@univr.it 045 802 8438

Picarelli Athena

athena.picarelli@univr.it 045 8028242

Piovesan Marco

marco.piovesan@univr.it 045.80.28.104

Roffia Paolo

paolo.roffia@univr.it 045 802 8012

Scricciolo Catia

catia.scricciolo@univr.it 045 802 8341

Sommacal Alessandro

alessandro.sommacal@univr.it 045 802 8716

Stacchezzini Riccardo

riccardo.stacchezzini@univr.it 045 802 8186
Virginia Vannucci,  October 25, 2020

Vannucci Virginia

virginia.vannucci@univr.it

Zago Angelo

angelo.zago@univr.it 045 802 8414

Zoli Claudio

claudio.zoli@univr.it 045 802 8479

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
9
B
SECS-P/05
1 module between the following
Training
3
F
-
ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/11
1 module between the following
Final exam
15
E
-

1° Year

ModulesCreditsTAFSSD
9
B
SECS-P/05
1 module between the following
Training
3
F
-

2° Year

ModulesCreditsTAFSSD
2 modules among the following
6
C
SECS-P/03
6
C
SECS-P/02
2 modules among the following
6
B
SECS-P/11
1 module between the following
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Further language skills
3
F
-

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

4S008979

Coordinatore

Catia Scricciolo

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

Period

secondo semestre (lauree magistrali) dal Feb 21, 2022 al May 13, 2022.

Learning outcomes

The goal of the course is to provide students with mathematical, statistical and computational tools for a rigorous understanding of machine learning. A central aspect is the critical discussion of how and to which extent machine learning methods are essential in large scale data analysis in order to develop a professional profile combining solid quantitative skills with an in-depth knowledge of economic and corporate dynamics to support strategic decisions based on data analysis. At the end of the course students will be able to master classical methods of machine learning, implement data analysis algorithms, choose the most suitable techniques, identify relevant structures underlying the data for prediction purposes, critically discuss the output generated by a machine learning technique.

Program

- Overview of Statistical Learning

- Linear Regression Models and Least Squares
• The Gauss-Markov Theorem
• Best-Subset Selection
• Shrinkage Methods: Ridge Regression and the Lasso

- Linear Methods for Classification
• Bayes classifier
• Linear Discriminant Analysis
• Logistic Regression

- Model Assessment and Selection
• Bias-Variance and Model Complexity
• Cross-Validation

- Introduction to Neural Networks
• Neural Networks
• Fitting Neural Networks

- Clustering Methods


Textbooks and references:
Lecture notes and references to the textbooks chapters will be made available on the e-learning web page.

Bibliography

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.

Examination Methods

The exam will test for
(a) the understanding of the theoretical tools (concepts and formal models) presented in the course,
(b) the ability to use theoretical tools to discuss results from a data set analysis.

The final exam will consist of two parts:
- a written exam on the material of the lab sessions. During the course candidates will have the opportunity to
solve two partial assignments that will be part of the final evaluation. Alternatively, there will be one general
assignment due before the oral exam on a date to be communicated later on,
- an oral test on the theoretical lectures of the course.

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 (Coordinatore)
Future matters D Alessandro Bucciol (Coordinatore)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
The fashion lab (2 ECTS) D Maria Caterina Baruffi (Coordinatore)
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 (Coordinatore)
Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinatore)
Wake up Italia - 2020/2021 D Sergio Noto (Coordinatore)
secondo semestre (lauree magistrali) From 3/1/21 To 6/1/21
years Modules TAF Teacher
Professional Communication for Economics D Claudio Zoli (Coordinatore)
1° 2° Business analytics: make your data make an impact - 2020/2021 D Claudio Zoli (Coordinatore)
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 (Coordinatore)
Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinatore)
Elements of financial risk management D Claudio Zoli (Coordinatore)
Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (Coordinatore)
Introduction to business plan - 2020/21 D Paolo Roffia (Coordinatore)
The fashion lab (3 ECTS) D Not yet assigned
Marketing plan - 2020/21 D Virginia Vannucci (Coordinatore)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinatore)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° Programming in SAS D Marco Minozzo (Coordinatore)
1° 2° 3° Excel Laboratory (Verona) D Marco Minozzo (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


Doppio Titolo

Grazie ad una rete di accordi con Atenei esteri, l’Università di Verona offre percorsi formativi internazionali che consentono l’acquisizione di un doppio titolo di studio. L’ammissione ad un CdS a doppio titolo consente di conseguire contemporaneamente, nel tempo di un normale ciclo di studi (di cui una parte viene svolta all'estero), sia il titolo di studio dell’Università di Verona che il titolo rilasciato dall'Ateneo partner, garantendo di vedere riconosciuto il diploma di laurea in entrambi i Paesi.
L'accesso al doppio titolo (così come l’eventuale sostegno finanziario) è regolato da uno specifico bando, e il numero di posti è limitato.


Gestione carriere


Area riservata studenti