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.
Type D and Type F activities
SOFT SKILLS
Find out more about the Soft Skills courses for Univr students provided by the University's Teaching and Learning Centre: https://talc.univr.it/it/competenze-trasversali
CONTAMINATION LAB
The Contamination Lab Verona (CLab Verona) is an experiential course with modules on innovation and enterprise culture that offers the opportunity to work in teams with students from all areas to solve challenges set by companies and organisations.
Upon completion of a CLab, students will be entitled to receive 6 CFU (D- or F-type credits).
Find out more: https://www.univr.it/clabverona
PLEASE NOTE: In order to be admitted to any teaching activities, including those of your choice, you must be enrolled in the academic year in which the activities in question are offered. Students who are about to graduate in the December and April sessions are therefore advised NOT to undertake extracurricular activities in the new academic year in which they are not enrolled, as these graduation sessions are valid for students enrolled in the previous academic year. Therefore, students who undertake an activity in an academic year in which they are not enrolled will not be granted CFU credits.
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° 3° | Ciclo tematico di conferenze: “Conflitti. Riconoscere, prevenire, gestire” - 2022/2023 | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° 3° | Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP | D |
Michele De Mari
(Coordinator)
|
1° 2° 3° | The Fashion Lab - 2022/23 | D |
Caterina Fratea
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° 3° | Economic Thinking and Thesis Writing | D |
Marco Minozzo
(Coordinator)
|
1° 2° 3° | English for Business and Economics - Bachelor's Degrees | D |
Marco Minozzo
(Coordinator)
|
1° 2° 3° | Data Analysis Laboratory with R (Verona) | 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 (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° 3° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° 3° | Piano di marketing 2022/23 | D |
Fabio Cassia
(Coordinator)
|
1° 2° 3° | Programming in Mathlab | D |
Marco Minozzo
(Coordinator)
|
1° 2° 3° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° 3° | Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 | D |
Angelo Zago
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° 3° | The Chartered Accountant as a business consultant | D |
Riccardo Stacchezzini
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° 3° | Project "B-EDUCATION: ideas that count" - 1 cfu | D |
Roberto Bottiglia
(Coordinator)
|
1° 2° 3° | Project "B-EDUCATION: ideas that count" - 2 cfu | D |
Roberto Bottiglia
(Coordinator)
|
Data Analysis Laboratory with R (Verona) (2022/2023)
Teaching code
4S011373
Teacher
Coordinator
Credits
3
Also offered in courses:
- Data Analysis Laboratory with R (Verona) of the course Bachelors' degree in Business Administration and Management
- Data Analysis Laboratory with R (Verona) of the course Master’s degree in Marketing and Corporate Communication
- Data Analysis Laboratory with R (Verona) of the course Master’s degree in Banking and Finance
- Data Analysis Laboratory with R (Verona) of the course Master’s degree in Economics and Data Analysis
- Data Analysis Laboratory with R (Verona) of the course Master's degree in Corporate governance and business administration
Language
Italian
Scientific Disciplinary Sector (SSD)
NN - -
Period
Periodo generico dal Oct 1, 2022 al May 31, 2023.
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 19000 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 2022/2023.
- All CdL and CdLM students, of the Verona campus, 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 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 is as follows:
Wednesday 15 March, 17.30-19.30
Wednesday 22 March, 17.30-19.30
Wednesday 29 March, 17.30-19.30
Wednesday 5 April, 17.30-19.30
Wednesday 12 April, 17.30-19.30
Wednesday 19 April, 17.30-19.30
Wednesday 26 April, 17.30-19.30
Wednesday 3 May, 17.30-19.30
Wednesday10 May, 17.30-19.30
Tutor (first semester): dott. Andrea Cuoghi
Tutor (second semester): dott.ssa Yanushka Beharry
For the course of the first semester, it is possible to register from the 1st of October 2022 to the 30th of November 2022.
For the course of the second semester, it is possible to register from the 1st of October 2022 to the 31st of March 2023.
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
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