Teaching code

4S012117

Teacher

Marco Minozzo

Coordinatore

Marco Minozzo

Credits

3

Also offered in courses:

• Data Analysis Laboratory with R (Vicenza) of the course Bachelor's degree in Business Innovation and Economics
• Data Analysis Laboratory with R (Vicenza) of the course Master’s degree in Management and business strategy
• Data Analysis Laboratory with R (Vicenza) of the course Master’s degree in International Economics and Business
• Data Analysis Laboratory with R (Vicenza) of the course Master's Degree in Sport Management for an innovative and sustainable sport system

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Periodo generico dal Oct 1, 2023 al May 31, 2024.

Erasmus students

Not available

Courses Single

Not Authorized

Lessons timetable Moodle Seminars

Learning objectives

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.

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 20000 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.
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.

Bibliography

Didactic methods

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 available only to students that are regularly enrolled to the academic year 2023/2024.
- All students, of the Vicenza campus, of the CdL and CdLM jointly organized by the Department of Economics and the Department of 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 International Economics and Business.
- Participation to the course does not require any particular background knowledge of the software R.
- The lessons will be delivered online through Zoom meetings. All the lessons will be registered for later viewing.
- There will be two courses, one in the first semester and another one in the second semester.
- The course consists of 18 hours of exercise lessons and tutorial activity (plus 2 hours of final examination).
The tentative calendar of the lessons of the first semester will be available soon.
The tentative calendar of the lessons of the second semester will be available in due course.

Teacher (first semester): to be defined
Teacher (second semester): to be defined

For the course of the first semester, it is possible to register from the 15th of October 2023 to the 30th of November 2023.
For the course of the second semester, it is possible to register from the 15th of October 2023 to the 31st of March 2024.
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.

Learning assessment procedures

Si ricorda che i laureandi di dicembre 2023 e aprile 2024 non possono partecipare e richiedere l'accreditamento di cfu per la presente attività, in quanto si tratta di un'erogazione 2023/2024, mentre le sessioni di laurea si riferiscono all'a.a. 2022/2023.
Gli studenti regolarmente iscritti all'a.a. 2023/2024 sono tenuti a inserire l'attività a libretto.
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Si ricorda inoltre che non si può mai sostenere la stessa attività didattica più di una volta, anche se in carriere diverse (CdL e CdLM). Nello specifico, se si sono già acquisiti i cfu relativi ad uno specifico laboratorio informatico durante la triennale, non si possono riacquisire di nuovo alla magistrale. Si possono invece trasferire nella carriera della magistrale i cfu di uno specifico laboratorio acquisiti in sovrannumero (oltre i 180 cfu) alla triennale. In caso di necessità, la segreteria potrà intervenire, anche a posteriori o post-laurea. La responsabilità e le conseguenze rimangono comunque a carico dello studente.
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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 R. There will be just one date for the final examination.

Exam language

Italiano

Sustainable Development Goals - SDGs

Questa iniziativa contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.
Maggiori informazioni su www.univr.it/sostenibilita