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
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 Economics and data analysis - Enrollment from 2025/2026| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| 1° | The fashion lab (2 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinator)
|
| 1° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinator)
|
| 1° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinator)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Professional Communication for Economics | D |
Claudio Zoli
(Coordinator)
|
|
| 1° 2° | Business analytics: make your data make an impact - 2020/2021 | D |
Claudio Zoli
(Coordinator)
|
|
Quantitative methods for business and economics - DATA MANAGEMENT FOR BUSINESS AND ECONOMICS (2020/2021)
Teaching code
4S008973
Teacher
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
primo semestre (lauree magistrali) dal Oct 5, 2020 al Dec 23, 2020.
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
This module deals with the tools that can be used for data management and analysis for business and economics. Specific software (with a focus on MatLab) will be used to summarize the main information embedded in a sample of interest and to highlight the characteristics of the economic variables under analysis both through indices and graphical representations.
At the end of the course the student will have to demonstrate that he/she has acquired autonomy in the management of databases in order to extract information that can inform the decision process in business and policy areas.
Program
1. Management of data and data types
2. Main data sources in business and economics
3. Descriptive analysis
3.1 Frequency distribution
3.2 Graphs
3.3 Position indexes
3.4 Variability indexes
3.5 Additional characteristics of a distribution
4. Basic concepts in probability and inferential statistics
4.1 Discrete random variables
4.2 Continuous random variables
4.3 Estimation
4.4 Hypothesis testing
Teaching supply:
The module consists of 36 hours of lectures (equivalent to 6 credits).
Classes will provide the main tools for data analysis and representation of complex phenomena. The software MatLab will be used for solving practical problems.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Docente del corso | Le dispense ed altro materiale didattico verranno forniti dal Docente | ||||
| Newbold Paul, Carlson William, Thorne Betty | Statistics for Business and Economics | Pearson | 2013 | 9780132745659 |
Examination Methods
The final exam is a written test. The valuation obtained in the homework related to the laboratory activity contributes to the final grade.
The possibility to participate remotely to the exam is guaranteed for all the requesting students.
The content, the allowed time and the evaluation criteria of the test will be the same whether for the students in the classroom or for the remote ones.
