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.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in International Economics and Business - Enrollment from 2025/2026The 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 enrollment year.
1° Year
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2° Year activated in the A.Y. 2021/2022
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2 modules among the following1 module between the following| Modules | Credits | TAF | SSD |
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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.
Introduction to the use of R - 2020/21 (2020/2021)
Teaching code
4S009627
Teacher
Coordinator
Credits
2
Language
English
Scientific Disciplinary Sector (SSD)
NN - -
Period
primo semestre (lauree magistrali) dal Oct 5, 2020 al Dec 23, 2020.
Learning outcomes
Il modulo didattico in lingua inglese prevede 12 ore di lezione, è rivolto agli studenti del CdLM in International Economics & Business e finalizzato all’introduzione all’uso del software open source e free ‘R’; sarà idealmente collegato all’insegnamento di Quantitative methods for international markets del CdLM in International Economics & Business.
Program
Il modulo (in inglese) sarà tenuto da:
Prof. Thibault Laurent – Toulouse School of Economics
e sarà diviso nei seguenti argomenti:
Session 1 (3 hours):
How to install R and use it with RStudio? How to create, manipulate, extract, etc. vectors with R?
Computation matrix with R: an overview
Session 2 (3 hours):
Data Objects in R: importing small data and big data. Vocabulary: presentation of some R base functions for econometrics and statistic. Presentation of R markdown for creating report
Programming in R: control structures, creating functions
Session 3 (3 hours):
Tidyverse: easily techniques for handling and manipulation of data. Graphics with R base functions. Statistical test with R: t-test, chi-square, etc.
Session 4 (3 hours):
Data visualization with ggplot2. Econometric modelling with R: syntax for regression modelling, time series, panel data. Case study: application of an econometric and statistic analysis on real data set
Il modulo didattico si collega agli argomenti sviluppati nell’insegnamento di Quantitative methods for international markets.
Periodo di svolgimento: Ottobre-Novembre 2020.
Examination Methods
L’attività formativa richiede un impegno corrispondente a 2 CFU. Il riconoscimento di crediti è subordinato alla frequenza delle ore previste di lezione ed al superamento di un prova finale costituita dall’applicazione dei concetti appresi durante il modulo ad una banca dati a scelta dello studente e la predisposizione di una relazione riassuntiva dell’analisi effettuata (circa 1000 parole).
