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 (lauree) | Sep 20, 2021 | Jan 14, 2022 |
| secondo semestre (lauree) | Feb 21, 2022 | Jun 1, 2022 |
| Session | From | To |
|---|---|---|
| sessione invernale | Jan 17, 2022 | Feb 18, 2022 |
| sessione estiva | Jun 6, 2022 | Jul 15, 2022 |
| sessione autunnale | Aug 22, 2022 | Sep 16, 2022 |
| Session | From | To |
|---|---|---|
| sessione autunnale (validità a.a. 2020/2021) | Dec 6, 2021 | Dec 10, 2021 |
| sessione invernale (validità a.a. 2020/2021) | Apr 6, 2022 | Apr 8, 2022 |
| sessione estiva (validità a.a. 2021/2022) | Sep 5, 2022 | Sep 6, 2022 |
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
045 802 8278
giovanna.caramia@univr.it
simona.fiore@univr.it
tamara.fioroni@univr.it
maurizio.malpede@univr.it
cecilia.mancini@univr.it
martina.menon@univr.it
cosimoandrea.munari@univr.it
fabio.sartori@univr.it
alex.sclip@univr.it
chiara.zamboni_01@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 enrolment year.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2022/2023
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
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.
Type D and Type F activities
Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").
Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.
Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.
Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dal Consiglio della Scuola di Economia e Management e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.
Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.
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: https://talc.univr.it/it/competenze-trasversali
ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, inlcuse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Marketing plan | D |
Virginia Vannucci
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinatore)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinatore)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinatore)
|
| 1° 2° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public | D |
Federico Brunetti
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Economics, financial statement and control of Italian healthcare and social care organizations | D |
Paolo Roffia
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | AN INTRODUCTION TO LATEX TYPESETTING SYSTEM | D |
Alberto Peretti
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | English for Business and Economics - Bachelor's Degrees | D |
Marco Minozzo
(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° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Samsung Innovation Camp | D |
Marco Minozzo
(Coordinatore)
|
Python Laboratory (2021/2022)
Teaching code
4S010388
Teacher
Coordinatore
Credits
3
Also offered in courses:
- Python Laboratory of the course Bachelors' degree in Business Administration and Management
- Python Laboratory of the course Bachelor's degree in Business Administration (Verona)
- Python Laboratory of the course Bachelor's degree in Economics and Business (Verona)
- Python Laboratory of the course Master’s degree in Banking and Finance
- Python Laboratory of the course Master’s degree in Marketing and Corporate Communication
- Python Laboratory of the course Master’s degree in Business Administration and Corporate Law
- Python Laboratory of the course Master’s degree in Economics and Data Analysis
- Python Laboratory of the course Master's degree in Corporate governance and business administration
- Python Laboratory of the course Bachelor's degree in Business Innovation and Economics
- Python Laboratory of the course Bachelor's degree in Economics, Firms and International Markets
- Python Laboratory of the course Bachelor's degree in Business Administration (Vicenza)
- Python Laboratory of the course Bachelor's degree in Economics and Business (Vicenza)
- Python Laboratory of the course Master’s degree in Management and business strategy
- Python Laboratory of the course Master’s degree in International Economics and Business
Language
Italian
Scientific Disciplinary Sector (SSD)
NN - -
Period
Periodo generico dal Oct 1, 2021 al May 31, 2022.
Learning outcomes
The course "Python Laboratory" 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 available only to students that are regularly enrolled to the academic year 2021/202.
- All CdL and CdLM students of the School of Economics and Management can register. In case of limitations to the total number of places available, 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 Economics and Data Analysis, and of the Master’s degree in Banking and Finance.
- Participation to the course does not require any particular background knowledge of the software Python.
- The lessons will be delivered online through Zoom meetings. All the lessons will be registered for later viewing.
- The course will take place in the first semester; there will be just one course.
- The course consists of 18 hours of exercise lessons and tutorial activity (plus 2 hours of final examination).
The tentative calendar of the lessons is the following:
Friday 19 November 2021, 16:00-19.00;
Friday 26 November 2021, 16:00-19.00;
Friday 3 December 2021, 16:00-19.00;
Friday 10 December 2021, 16:00-19.00;
Friday 17 December 2021, 16:00-19.00.
Tutor: dott. Leonardo Castagna
Registrations are open from the 1st of October 2021 to the 30th of November 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
Python is a widely used high-level programming language for general-purpose programming. It is an interpreted language, it has a design philosophy that emphasizes code readability and it has a syntax that allows programmers to express concepts in fewer lines of code than might be used in other languages, allowing new users to learn it in a few days. Python features a dynamic type system and automatic memory management and supports multiple programming paradigms, including object-oriented, imperative, functional programming, and procedural styles. It has a large and comprehensive standard library and it can easily be integrated with other programming languages, in particular with R. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems.
Python has gained wide popularity mainly for its use in the management and analysis of large data sets (data science). Today, R and Python are the two most widely used programming languages among data scientists. Both of them have rapidly advanced over the past few years. For these languages there exist many libraries for collecting, handling, visualizing and analyzing large data volumes and for implementing advanced machine learning models. Python is used in many organizations like NASA, Yahoo and Google. Python is open source and free software and has a community-based development model. Other information can be found at https://www.python.it/ and https://www.python.org/
The program of the course will start with an introduction to the software Python and its main functions. Then, some of the topics encountered in mathematical and statistic courses will be considered, as for example, matrix algebra, optimization and interpolation. Arguments will be presented mainly through examples. The course aims at improving the computational and programming skills of the students and at providing instruments that might be useful for the subsequent thesis work. The activity will allow students to improve the knowledge of a programming language that is highly requested in some sectors of the job market.
Bibliography
Examination Methods
The final examination, which will very likely 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 Python. There will be just one date for the final examination.
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.
