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
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2° Year It will be activated in the A.Y. 2026/2027
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3° Year It will be activated in the A.Y. 2027/2028
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2 modules among the following| Modules | Credits | TAF | SSD |
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2 modules among the following| Modules | Credits | TAF | SSD |
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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.
Statistics (2026/2027)
Teaching code
4S00121
Teacher
Coordinator
Credits
9
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/01 - STATISTICS
Period
Primo semestre L dal Sep 21, 2026 al Dec 18, 2026.
Courses Single
Authorized
Learning objectives
This module provides the basic techniques of descriptive statistics, probability and statistical inference to undergraduate students in economics and business studies. Prerequisite to the course is the mastering of a few basic mathematical concepts such as limit, derivative and integration at the level of an undergraduate first year introductory course in calculus. Overall, these techniques provide the necessary toolkit to carry out quantitative analyses in the processes related to the observation and understanding of collective phenomena. From a practical point of view, they are necessary for descriptive, interpretative and decision-making purposes and for conducting statistical studies related to economic and social phenomena. In addition to providing the necessary mathematical apparatus, the course also provides the conceptual tools for a critical evaluation of the presented methodologies. At the end of the course, students should be able to understand statistical information, carry out statistical analyses of economic and social phenomena, and to use basic statistical techniques and models for decision-making in business enterprise.