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:

Master’s degree in Economics and Data Analysis - 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/05
6
B
IUS/13
12
B
SECS-P/01
12
B
SECS-P/05 ,SECS-S/06
One module between the following
9
C
SECS-P/01
9
C
SECS-P/03
3
F
-

2° Year  activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
9
B
SECS-P/01
Two modules among the following
6
B
SECS-P/07
6
B
SECS-P/11
6
B
SECS-P/08
One module between the following
9
C
SECS-P/02
9
C
SECS-P/05
Two modules among the following
6
C
SECS-P/03
6
C
SECS-S/01
6
C
SECS-P/02
6
C
SECS-P/02
15
E
-
ModulesCreditsTAFSSD
9
B
SECS-P/05
6
B
IUS/13
12
B
SECS-P/01
12
B
SECS-P/05 ,SECS-S/06
One module between the following
9
C
SECS-P/01
9
C
SECS-P/03
3
F
-
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
9
B
SECS-P/01
Two modules among the following
6
B
SECS-P/07
6
B
SECS-P/11
6
B
SECS-P/08
One module between the following
9
C
SECS-P/02
9
C
SECS-P/05
Two modules among the following
6
C
SECS-P/03
6
C
SECS-S/01
6
C
SECS-P/02
6
C
SECS-P/02
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
9
D
-
Between the years: 1°- 2°
Further language skills
3
F
-

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

Quantitative methods for business and economics - DATA MANAGEMENT FOR BUSINESS AND ECONOMICS  (2024/2025)

Teaching code

4S008973

Teacher

Giuseppe Buccheri

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

Primo semestre LM dal Sep 30, 2024 al Dec 23, 2024.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

To show the organization of the course that includes this module, follow this link:  Course organization

Program

- Types of data sources and their management
- Descriptive statistics
- Frequency distributions and ogives
- Location and dispersion indicators
- Correlation and dependency
- Quantiles
- Probability and inferential statistics
- Conditional probability
- Bayes law, law of total probability
- Discrete and continuous random variables
- Estimators
- Relative efficiency and consistency
- Law of large numbers
- Central limit theorem
- Finite and large sample distribution of mean and variance
- Hypothesis testing

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The module consists of 36 hours of lectures (equivalent to 6 credits). The classes will provide the main tools for the analysis of complex phenomena based on the data. The software MATLAB will be used to illustrate through applications the main concepts taught in the class.

Learning assessment procedures

The final exam is a written test. The evaluation obtained in a homework related to the lab activities contributes to the final grade.

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

Evaluation criteria

The final grade is the arithmetic average of the written exam and the project grade.

Exam language

English