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
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 Informatica - Enrollment from 2025/2026The 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 activated in the A.Y. 2013/2014
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3° Year activated in the A.Y. 2014/2015
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Un insegnamento a scelta tra i seguenti:| Modules | Credits | TAF | SSD |
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Un insegnamento a scelta tra i seguenti: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.
Probability and Statistics (2012/2013)
Teaching code
4S02843
Credits
6
Language
Italian
Also offered in courses:
- Probability and Statistics of the course Bachelor's degree in Bioinformatics
- Probability and Statistics of the course Bachelor's degree in Bioinformatics
- Probability and Statistics of the course Bachelor's degree in Bioinformatics
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITY AND STATISTICS
The teaching is organized as follows:
Teoria
Laboratorio di Statistica
Learning outcomes
The course aims to provide students with the basic tools to understand the phenomena by applying the basic paradigms of statistics and probability theory.
Program
Presentation of data
Numerical summary measures
probability
Theoretical distributions of probability
Sampling distribution of the mean
Confidence Intervals
Hypothesis Tests
Comparison between two means
Analysis of variance
Non-parametric methods
Inference on proportions
Crosstabs simple and multiple
correlation
Simple and multiple linear regression
logistic Regression
Sampling theory
Reference text. M. Pagano, K. Gauvreau, Biostatistics, second edition, Idelson-Gnocchi
Examination Methods
written and possibly oral
