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. 2011/2012
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3° Year activated in the A.Y. 2012/2013
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Un insegnamento a scelta tra i seguenti:
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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 (2010/2011)
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 is an introduction to the elemetary concepts of Probaility with the explanation of the basic methiods of Statistics.
Program
1. Introduction to descriptive statistics
2. Random experiments and events
3.Probability axioms
4.Simple properties of probability and combinatorics.
5.Conditional probability. Independence.
6. Random variables. Density. Mean. Variance.
7.Bernoulli trials: binomial and geometric random variables
8.Poisson process: Exponential and gamma random variables
9.Normal distribution
10.Law of great numbers
11.Central limit theorem and normal approximation
12.Statistical extimators
13. Interval extimations and interval of confidence
14. Extimation of mean and variance for normal populations
15.Extension to generic populations. Extimation of a frequency.
16.Hypothesis tests. Test z and test t. Frequaency test. Chi-squared test.
Examination Methods
Written examination with exercices and theory questions.
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