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

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

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 2025/2026

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 enrollment year.

1° Year

ModulesCreditsTAFSSD
9
B
SECS-P/07
9
B
SECS-P/02
9
B
SECS-P/01
6
B
SECS-S/06
9
B
IUS/13
9
B
SECS-P/08
9
B
SECS-P/05

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
Two modules among the following
9
C
SECS-P/01
9
C
SECS-P/01
9
C
SECS-P/02
9
C
SECS-S/03
One module between the following
6
B
SECS-P/07
6
B
SECS-P/07
9
B
IUS/04
Stage
3
F
-
Final exam
12
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
Two modules among the following
9
C
SECS-P/01
9
C
SECS-P/01
9
C
SECS-P/02
9
C
SECS-S/03
One module between the following
6
B
SECS-P/07
6
B
SECS-P/07
9
B
IUS/04
Stage
3
F
-
Final exam
12
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Further language skills
3
F
-
Between the years: 1°- 2°
9
D
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

An introduction to multivariate statistical analysis using R - 2021/2022  (2021/2022)

Teaching code

4S010378

Teacher

Coordinator

Credits

1

Language

English en

Scientific Disciplinary Sector (SSD)

NN - -

Period

primo semestre (lauree magistrali) dal Oct 4, 2021 al Dec 17, 2021.

Lessons timetable MoodleMoodle Seminars 0

Learning outcomes

To gain knowledge in applying categorical data analysis and multivariate methods in economic research; to provide the necessary statistical background for analyzing data and drawing inference from that analysis; to increase the student's mastery of the deductive nature of reasoning; to understand the nature of critical thinking; to increase the student's ability in problem solving; to increase the student's ability to work with others towards a common goal.

Program

Multivariate statistical analysis
1. Descriptive statistics
2. Random variables
3. Inference
4. Applications in R
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Periodo: 28-30 settembre 2021.

Examination Methods

As part of the assessed coursework of “Quantitative Methods for International Markets”, students will have to complete an empirical group project at the end of the module. Participation to such group project will grant students the 1 CFU associated with the short module “An introduction to multivariate statistical analysis using R”.
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Si ricorda che i laureandi di dicembre 2021/aprile 2022 non possono partecipare e richiedere l'accreditamento di cfu per la presente attività, in quanto si tratta di un'erogazione 2021/2022, mentre le sessioni di laurea si riferiscono all'a.a. 2020/2021.
Gli studenti regolarmente iscritti all'a.a. 2021/2022 sono tenuti a inserire l'attività a libretto.
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Data proposta per l’appello verbalizzante: 15 gennaio 2022
Impegno orario richiesto: 25 ore

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE