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
Modules | Credits | TAF | SSD |
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1 module between the following
2 modules among the following
2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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1 module between the following
2 modules among the following
Modules | Credits | TAF | SSD |
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1 module between the following
2 modules among the following
Modules | Credits | TAF | SSD |
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1 module between the following
2 modules among the following
Modules | Credits | TAF | SSD |
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1 module between the following ("Advanced international accounting" 1st year or "Business valuation" 2nd year)
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.
Business Statistics (2024/2025)
Teaching code
4S00522
Teacher
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
Primo semestre LM dal Sep 30, 2024 al Dec 23, 2024.
Courses Single
Authorized
Learning objectives
The course aims at providing participants with the knowledge of statistical tools useful for analysing business phenomena, both with reference to market dynamics and management aspects. The contents of the course are structured so as to broaden the participants' statistical knowledge and strengthen the awareness with which they apply the statistical methods to the business context. The course aims to provide the tools for understanding and contributing to all stages of the statistical production process: from the data collection stage and the integration of statistical sources of data, to the analysis and production of results and evidences useful for the decision-making process of firms. The applicative approach of the course favours the development of skills for analysing and interpreting business phenomena through a critical use of statistical methodology.
Prerequisites and basic notions
The basic notions of statistics studied in the three-year degree courses in economics are taken for granted. In any case, the teacher will provide a handout with the treatment of the main topics of Statistics that will be used in this course. This handout will be an integral part of the course and the exam.
Program
Business Statistics Data Sources Sampling Linear Regression Mutability and Pareto Analysis Concentration and the Lorenz Curve Statistical Quality Control Choosing Business Investments Under Uncertainty Benford's Law and Preventing Corporate Fraud Introduction to Microsoft Power BI Software
Didactic methods
The lessons will be held in person at the time indicated in the appropriate space on the site. The content of the lessons will be recorded and the recordings will be available on the Moodle platform of the course. The participatory teaching activities will be carried out in the classroom and may, by their nature, not be recordable. The following is specified: 1) the exercises will be carried out by the teacher in class also with the aid of Personal Computers. It is recommended to participate in the exercises with the personal PC in order to be able to upload the files provided in advance and perform the analysis of the data contained therein 2) the introduction to the Microsoft Power BI software is intended to provide the student with the first basic knowledge to then independently study this now essential tool for analyzing business data. The teacher will provide example data on which useful reports in the business field will be derived and built
Learning assessment procedures
The exam consists of a written test on the entire program lasting two hours.
Evaluation criteria
The written test is structured as follows: 1) 9 multiple choice questions regarding theoretical aspects of the program covered (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) The student may submit before the end of the lessons an in-depth work using the Microsoft Power BI software which, if considered valid by the teacher, will lead, in the event of a sufficient evaluation of the exam, to an increase in the evaluation of up to 2 points. The software can be downloaded free of charge.
Exam language
Italiano