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. 2017/2018
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One course to be chosen among the following
3° Year activated in the A.Y. 2018/2019
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One course to be chosen among the following
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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 (2016/2017)
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 [II turno]
Laboratorio [I turno]
Learning outcomes
The goal of the course is to introduce theoretical basis of descriptive statistics and probability, in order to solve the problem of modelling actual phenomena by using stochastic methods, especially applied to Statistics.
By the end of the course, students will have to show their skills with the main statistical methodologies for the analysis and estimation of phenomena, both theoretically and through the use of the R-Studio software.
Program
Descriptive statistics. Means, median, quantiles.
Variance and other statistics to measure the variability of a distribution.
Simmetry: Skewness of Pearson.
Independence test in crossed tables.
Linear Regression.
Introduction to probability theory: historical roots, three kinds of definition. Revision of set theory. Axiomatic definition of probability: outcomes, random experiments, sample space. Conditional probability: total probability theorem, law of compound probabilities.
Combinatorics elements: dispositions, permutations, combinations.
Random variables, discrete density function and cumulative distribution function. Mean, variance and n-th moment of random variables. Models of discrete distributions: Bernoulli distribution, uniform distribution, binomial distribution, geometric distribution, hyper-geometric distribution, Poisson distribution. Examples of continuous distributions: exponential distribution, Gaussian distribution. Characteristic function and (moment) generating function.
Inferential statistics: parameters estimation and statistical hypothesis testing.
Bibliography
Activity | Author | Title | Publishing house | Year | ISBN | Notes |
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Teoria | P. Baldi | Calcolo delle Probabilità e Statistica | Mc Graw-Hill | 8838607370 | ||
Teoria | D. OLIVIERI | Fondamenti di statistica (Edizione 3) | Cedam, Padova | 2007 | ||
Teoria | OLIVIERI D. | Temi svolti di statistica (2001-2007) | CEDAM | 2008 |
Examination Methods
Written exam and test by using the R programming language.
The exam is divided into two parts: a Theory module (22 points) and a Laboratory module (8 points), to be held together.
The test will consist of:
- 3 exercises to be performed with paper, pen and calculator, related to the Theory module;
- 2 exercises about the R programming language, to be performed with paper and pen, related to the Laboratory module.
It is forbidden to use textbooks, manuals or notes during the exam.
Students may use a scientific calculator.
Teaching materials e documents
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Esame 2017-06-16 - Soluzioni (it, 267 KB, 6/16/17)
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Esame 2017-06-16 - Testo prova (it, 92 KB, 6/16/17)
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Esame 2017-07-07 - Soluzioni (it, 339 KB, 7/7/17)
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Esame 2017-07-07 - Testo prova (it, 324 KB, 7/7/17)
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Esame 2017-09-11 - Soluzioni (it, 93 KB, 9/12/17)
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Esame 2017-09-11 - Testo prova (it, 473 KB, 9/12/17)
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Esame 2018-02-09 - Soluzioni (it, 48 KB, 2/10/18)
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Esame 2018-02-09 - Testo prova (it, 403 KB, 2/10/18)
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LAB 01 - Statistica descrittiva con R (it, 270 KB, 6/1/17)
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LAB 02 - Indici di forma e connessione nelle tabelle a doppia entrata (it, 1089 KB, 6/1/17)
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LAB 03 - La Regressione Lineare (it, 1107 KB, 6/1/17)
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LAB 04 - Esercizi riepilogativi 1 (it, 977 KB, 6/1/17)
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LAB 05 - Esercizi riepilogativi 2 (it, 321 KB, 6/1/17)
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LAB 06 - Esercizi riepilogativi 3 (it, 410 KB, 6/1/17)
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LAB 07 - Variabili Casuali Discrete (it, 927 KB, 6/1/17)
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LAB 08 - Variabili Casuali Continue (it, 795 KB, 6/1/17)
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LAB 09 - Esercizi riepilogativi 4 (it, 196 KB, 6/1/17)
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LAB 10 - Verifica di ipotesi (it, 471 KB, 6/1/17)
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Tavola del Chi Quadrato (it, 61 KB, 6/16/17)
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Tavola della Normale standardizzata (it, 618 KB, 5/18/17)