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. 2010/2011
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3° Year activated in the A.Y. 2011/2012
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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.
Probability and Statistics (2009/2010)
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 (until 2008-2009)
- 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
Credits
2
Period
2nd Semester
Academic staff
Elisa Mastrogiacomo
Learning outcomes
This course is an introduction to probability and statistics. The emphasis will be on learning the main statistical methodologies. The part on probability is aimed at understanding the basic principles of elementary probabilty and to justifying the procedures of statistical analysis.
Program
1. Introduction to Descriptive Statistics
2. Experiments with random outcome. Sample space and events.
3. Axioms of probability.
4. Elementary probabilty formulas.
5. Conditional probability. Independent events.
6. Random variables. Probability densities. Mean and variance.
7. Bernoulii trials: binomial and geometric distributions.
8. Poisson process: exponential and gamma distributions
9. The normal distribution and its properties.
10. Law of large numbers.
11. The Central Limit Theorem and normal approximation.
12. Introduction to inference statistics.
13. Estimates and their properties.
14. Estimates for intervals: confidence intervals.
15. Mean and variance estimates for normal samples.
16. Estimates for general samples. Proportion estimates.
17. Test of hypothesis. z test and t test. Frequency tests.
18. The Chi-Squared test.
Bibliography
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Teoria | Bramanti Marco | Calcolo delle Probabilità e Statistica (Edizione 1) | Progetto Leonardo-Esculapio s.r.l. | 2001 |
Examination Methods
The exam will be in written form with one part exercises and one part consisting of questions regarding the theory.
At the request of the student, it will be possible to have an oral exam instead.
