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 in Economia e commercio - 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
A
IUS/01
9
A
SECS-P/07
9
B
SECS-P/08
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
6
B
SECS-P/07
9
C
SECS-P/09
6
A
IUS/04
9
B
SECS-P/01
9
B
SECS-P/07
9
B
SECS-P/03
9
B
SECS-S/01

3° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
9
B
IUS/07
9
B
SECS-P/05
9
B
SECS-S/06
6
B
SECS-P/02
2 modules to be chosen among the following
6
C
SECS-P/02
6
C
SECS-S/01
6
C
SECS-P/01
6
C
SECS-S/06
6
C
SECS-P/05
6
C
SECS-P/02
Training
6
F
-
Final exam
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/07
9
B
SECS-P/08
9
A
SECS-P/01
9
A
SECS-S/06
9
C
SECS-P/12
English language B1 level
3
E
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
6
B
SECS-P/07
9
C
SECS-P/09
6
A
IUS/04
9
B
SECS-P/01
9
B
SECS-P/07
9
B
SECS-P/03
9
B
SECS-S/01
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
9
B
IUS/07
9
B
SECS-P/05
9
B
SECS-S/06
6
B
SECS-P/02
2 modules to be chosen among the following
6
C
SECS-P/02
6
C
SECS-S/01
6
C
SECS-P/01
6
C
SECS-S/06
6
C
SECS-P/05
6
C
SECS-P/02
Training
6
F
-
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
12
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

Market Analysis Laboratory  (2022/2023)

Teaching code

4S008961

Academic staff

Catia Nicodemo, Alessandro Bucciol

Coordinator

Catia Nicodemo

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

Secondo semestre (lauree) dal Feb 20, 2023 al May 31, 2023.

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

This course provides guidance to perform applied econometric analysis, offering the training necessary to analyze economic data, to interpret them and to measure the relationships suggested by economic theories in different fields such as Macroeconomics, Microeconomics, and Finance . During the course the basic elements of econometric analysis will be reviewed but the emphasis will be placed on applications and model building. Students will acquire the knowledge and skills necessary for the analysis of economic data, as well as the interpretation and discussion of the results. Group work will complement individual study for this purpose.
At the end of the course the student will be to independently conduct reliable empirical analysis, from the data collection step, to the descriptive analysis and up to the identification of the main relationships between the variables of interest.

Prerequisites and basic notions

Econometrics and Statistics

Program

Course topics:
1. Introduction to R
2. Primary and secondary data for research.
3. Evaluation of the quality and preliminary treatment of the data.
4. Types of data and problems attached.
5. Display and description of data.
6. Regression analysis with cross-sectional data
7. Regression analysis with time series
8. Regression Analysis with binary outcomes

Bibliography

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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 course is structured in lectures and exercises in the computer lab. Each topic will be treated first from a theoretical point of view and then from an empirical point of view. Applications will be based on real data. The use of the R software will be proposed.

Learning assessment procedures

The exam is divided into two tests: a project and a written test aimed to assess the knowledge of the econometric techniques illustrated during the lectures and the ability to apply these tools to concrete cases through the use of the R software.

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 evaluation criteria will be based on the written test, and a project

Criteria for the composition of the final grade

A written test is expected consisting of a multiple choice section and a practical section, as well as a project of a concrete case. In case of not taking the course, the exam will be based on different problem sets to be solved in R as well as a written test

Exam language

Italiano