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

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010 A.A. 2005/2006

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 Bioinformatica - Enrollment from 2025/2026

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

ModulesCreditsTAFSSD
6
A
MAT/02
6
A
MAT/05
6
C
BIO/13
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
6
A
INF/01
12
A
INF/01
English language competence-complete b1 level
6
E
-

2° Year  activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
12
B
ING-INF/05
6
C
BIO/10
6
C
BIO/18
6
A
MAT/06

3° Year  activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
12
C
BIO/10
One course to be chosen among the following
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
2 courses to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
12
D
-
Other activitites
3
F
-
Prova finale
3
E
-
ModulesCreditsTAFSSD
6
A
MAT/02
6
A
MAT/05
6
C
BIO/13
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
6
A
INF/01
12
A
INF/01
English language competence-complete b1 level
6
E
-
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
12
B
ING-INF/05
6
C
BIO/10
6
C
BIO/18
6
A
MAT/06
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
12
C
BIO/10
One course to be chosen among the following
6
C
BIO/09
6
C
MAT/05
6
C
BIO/11
2 courses to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
12
D
-
Other activitites
3
F
-
Prova finale
3
E
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Probability and Statistics (2017/2018)

Teaching code

4S00021

Credits

6

Coordinator

Not yet assigned

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICS

Seminars 0

The teaching is organized as follows:

Teoria
The activity is given by Probability and Statistics - Teoria of the course: Bachelor's degree in Computer Science

Credits

4

Period

II sem.

Academic staff

Bruno Gobbi

Lessons timetable
Laboratorio [Cognomi A-L]
The activity is given by Probability and Statistics - Laboratorio of the course: Bachelor's degree in Computer Science

Credits

2

Period

II sem.

Academic staff

Bruno Gobbi

Lessons timetable
Laboratorio [Cognomi M-Z]
The activity is given by Probability and Statistics - Laboratorio of the course: Bachelor's degree in Computer Science

Credits

2

Period

II sem.

Academic staff

Bruno Gobbi

Lessons timetable

Learning outcomes

The course aims to provide the basic concepts of descriptive Statistics and Probability, by modeling concrete problems through the use of probabilistic methods and, at the same time, to underline the natural application of these concepts to mathematical Statistics. The course also aims to provide actual tools to apply the main statistical techniques to real cases.
By the end of the course, students will have to show their knowledge and understanding of the main statistical techniques for the description and analysis of the phenomena under study; to express the ability to apply the acquired knowledge and understanding skills for the interpretation of the results of the applied statistical analyzes in a critical and proactive way, by using the available tools; to know how to develop the necessary skills to continue the studies independently in the field of statistical Analysis.

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

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria P. Baldi Calcolo delle Probabilità e Statistica (Edizione 2) Mc Graw-Hill 1998 8838607370
Teoria D. OLIVIERI Fondamenti di statistica Cedam, Padova  
Teoria D. OLIVIERI Temi svolti di statistica (2001-2007) Cedam, Padova 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.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Teaching materials e documents