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 magistrali) | Oct 4, 2021 | Dec 17, 2021 |
| secondo semestre (lauree magistrali) | Feb 21, 2022 | May 13, 2022 |
| Session | From | To |
|---|---|---|
| sessione invernale | Jan 10, 2022 | Feb 18, 2022 |
| sessione estiva | May 23, 2022 | Jul 1, 2022 |
| sessione autunnale | Aug 22, 2022 | Sep 23, 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
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 |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| 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° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Marketing plan | D |
Virginia Vannucci
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 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)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Business & Predictive Analytics for International Firms (with Excel Applications) - 2021/2022 | D |
Angelo Zago
(Coordinatore)
|
| 1° 2° | What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public | D |
Federico Brunetti
(Coordinatore)
|
| 1° 2° | Elements of Financial Risk Management - 2021/2022 | D |
Claudio Zoli
(Coordinatore)
|
| 1° 2° | Integrated Financial Planning | D |
Riccardo Stacchezzini
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | The fashion lab (1 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
| 1° 2° | The fashion lab (2 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
| 1° 2° | The fashion lab (3 ECTS) | D |
Caterina Fratea
(Coordinatore)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Programming in Matlab | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° | How to Enter in a Foreign Market. Theory and Applications - 2021/2022 | D |
Angelo Zago
(Coordinatore)
|
|
| 1° 2° | Introduction to Java programming | D |
Alessandro Gnoatto
(Coordinatore)
|
|
| 1° 2° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinatore)
|
|
Programming in SAS (2020/2021)
Teaching code
4S009614
Teacher
Coordinatore
Credits
3
Also offered in courses
- Bachelor's degree in Business Administration (Verona)
- Bachelor's degree in Economics and Business (Verona)
- Bachelor's degree in Business Administration (Vicenza)
- Bachelor's degree in Economics and Business (Vicenza)
- Master’s degree in Economics
- Master’s degree in Business Administration and Corporate Law
- Master’s degree in Marketing and Corporate Communication
- Master's degree in International Economics and Business Management
- Master’s degree in Management and business strategy
- Bachelor's degree in Business Innovation and Economics
- Bachelor's degree in Economics, Firms and International Markets
- Bachelors' degree in Business Administration and Management
- Bachelor's degree in Economics and Business
- Master’s degree in Economics and Data Analysis
- Master’s degree in International Economics and Business
Scientific Disciplinary Sector (SSD)
NN - -
Language
Italian
Period
Not yet assigned
Learning outcomes
The course "Programming in SAS" 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 School of Economics and Management, in particular to the students of the Master’s degree in Economics, of the Master’s degree in Economics and Data Analysis, and of the Master’s degree in Banking and Finance.
- Due to the COVID-19 emergency, this year lessons will be delivered online through Zoom meetings. The course has, approximately, 50 places.
- The course will take place in the second semester; there will be just one course.
- Requests for participation will be considered following the registration order considering that priority will be given to CdLM students, in particular to the students of the Master’s degree in Economics, of the Master’s degree in Economics and Data Analysis, and of the Master’s degree in Banking and Finance. Students are required to participate to the first lesson, or to send an email to the teacher to communicate their absence.
- The frequency to the classes is compulsory. Students are required to attend at least 3/4 of the exercise lessons and tutorial activities in order to be admitted to the final evaluation.
The course consists of 24 hours of exercise lessons and tutorial activities (plus 2 hours of final examination).
The calendar of the course will be available as soon as possible.
Teacher: to be announced
Registrations are open 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
SAS is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. With SAS it is possible to mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. It also provides a graphical point-and-click user interface for non-technical users and more advanced options through the SAS language. According to independent bodies, SAS is the largest market-share holder in advanced analytics with 35.4 percent of the market as of 2013. It is the fifth largest market-share holder for business intelligence (BI) software with a 6.9% share and the largest independent vendor. SAS is largely used in the banking and insurance sector.
The course aims to provide the basics of the programming and operating philosophy of the SAS software. After the introduction of the SAS software, of its syntax and main functions, the course will focus on the following topics: data processing and manipulation techniques, report production and use of macros. The course aims at improving the computational skills of the students and at providing the knowledge of a software, which is largely used in some sectors of the job market.
Bibliografia
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Olga Korosteleva | Advanced Regression Models with SAS and R (Edizione 1) | Chapman and Hall/CRC | 2019 | 9780367732424 | |
| Carla L. Goad | SAS Programming for Elementary Statistics: Getting Started (Edizione 1) | Chapman and Hall/CRC | 2021 | 9781138589025 | |
| A. John Bailer | Statistical Programming in SAS (Edizione 2) | CRC Press, Taylor & Francis Group | 2020 | 9780367358006 |
Examination Methods
Students are required to attend at least 3/4 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 of a written exam, followed by an oral examination, if necessary, on the use of the software SAS. 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.
Gestione carriere
Internships
Graduation
List of theses and work experience proposals
| theses proposals | Research area |
|---|---|
| Tesi di laurea magistrale - Tecniche e problemi aperti nel credit scoring | Statistics - Foundational and philosophical topics |
| Il metodo Monte Carlo per la valutazione di opzioni americane | Various topics |
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.