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

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
1 module between the following
1 module between the following
1 module between the following
1 module between the following
9
B
SECS-P/07
English B2
4
F
-

2° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
Stage
5
F
-
Final exam
15
E
-
ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
1 module between the following
9
B
SECS-P/07
English B2
4
F
-
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
1 module between the following
1 module between the following
1 module between the following
Stage
5
F
-
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S008094

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo semestre (lauree magistrali) dal Oct 2, 2023 al Dec 22, 2023.

Courses Single

Authorized

Learning objectives

The course aims to provide the basic knowledge for the collection, management and analysis of data of interest in the managerial field. Students' previous statistical knowledge will be integrated with the main statistical sampling techniques for data collection, some of the most widespread techniques for the analysis of time series data, the multiple linear regression, and the most recent techniques for data science in the business context. All these techniques will be discussed in specific areas of application: market research, customer analysis, management control, production process control, sales analysis and forecasting. Special attention will be devoted to some of the most widespread software for data science and business intelligence. At the end of the course, students should demonstrate a good level of understanding both theoretically and practically of the main statistical methods for the analysis of business phenomena, in the light of the available data and the managerial needs. They should also be able to interpret critically the gathered information and the results obtained from the analyses with the aim to supply useful suggestions in support of business decisions.

Prerequisites and basic notions

Attendance of the Statistics course is recommended

Program

Statistics for company management Data sources Sample surveys Descriptive Statistics Tools for the Company Investment choice criteria Statistical quality control Overview of the software that can be used

Bibliography

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

Classroom lesson with the possibility of making a presentation on a business case

Learning assessment procedures

Ability to understand problems and analyze them through the choice and application of the appropriate statistical method. The written test is structured as follows: 1) 9 multiple choice questions regarding theoretical aspects of the program carried out (up to 9 points out of 30) 2) 3 exercises with numerical calculations of applications to concrete cases of the analysis techniques learned during the course (up to 21 points out of 30) If the test is sufficient, there will be the possibility, at the discretion of the teacher upon request of the student, to also take an oral test

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

1) 9 multiple choice questions regarding theoretical aspects of the program carried out (up to 9 points out of 30) 2) 3 exercises with numerical calculations of applications to concrete cases of the analysis techniques learned during the course (up to 21 points out of 30)

Criteria for the composition of the final grade

It will be given by the sum of the evaluation of the theoretical and practical parts. For any additional work carried out by the student, an additional evaluation of up to three points may be assigned

Exam language

italiano