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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I semestre | Oct 1, 2018 | Jan 31, 2019 |
| II semestre | Mar 4, 2019 | Jun 14, 2019 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2019 | Feb 28, 2019 |
| Sessione estiva d'esame | Jun 17, 2019 | Jul 31, 2019 |
| Sessione autunnale d'esame | Sep 2, 2019 | Sep 30, 2019 |
| Session | From | To |
|---|---|---|
| Sessione Estiva | Jul 17, 2019 | Jul 17, 2019 |
| Sessione Autunnale | Nov 20, 2019 | Nov 20, 2019 |
| Sessione Invernale | Mar 17, 2020 | Mar 17, 2020 |
| Period | From | To |
|---|---|---|
| Sospensione attività didattica | Nov 2, 2018 | Nov 3, 2018 |
| Vacanze di Natale | Dec 24, 2018 | Jan 6, 2019 |
| Vacanze di Pasqua | Apr 19, 2019 | Apr 28, 2019 |
| Festa del Santo Patrono | May 21, 2019 | May 21, 2019 |
| Vacanze estive | Aug 5, 2019 | Aug 18, 2019 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
045 802 7823
mariacaterina.baruffi@univr.it
maurizio.boscaini@univr.it
rossana.capuani@univr.it
vittoria.cozza@univr.it
chiara.nardon@univr.it
claudio.tomazzoli@univr.it
Study Plan
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
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2019/2020
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the following3° Year activated in the A.Y. 2020/2021
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the followingLegend | 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.
Discrete Biological Models (2020/2021)
Teaching code
4S01908
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
The aim of the course is to present methods from discrete mathematics which are employed in the analysis of biological phenomena, with a major emphasis on the computational analysis of genomes. At the end of the course the students will be able to apply discrete probability and information theoretic tools for analysing genomic data.
Program
Basic notation on sequences and strings. The problems of substring and superstring. Lexicographic ordering and suffix arrays. Advanced combinatorial schemata and discrete probability. Random sequences and fundamental probability laws on them (Bernoulli, Poisson, Exponential, Gauss). Information sources and entropy. Conditional entropy, entropic divergences and mutual information. Genomes, get genomic indexes, genomic dictionaries, genomic distributions and entropies. Representations and visualizations of genomes. Introduction to python3. Development of algorithms and data structure for genomics in python3.
Bibliography
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Teoria | T. M. Cover, J. A. Thomas | Elements of Information Theory (Edizione 1) | John Wiley & Sons, Inc. | 1991 | 0471062596 | |
| Teoria | Vincenzo Manca | Infobiotics | Springer | 2013 | ||
| Laboratorio | Sebastian Bassi | Python for Bioinformatics (Edizione 2) | Routledge | 2017 | 1138035262 |
Examination Methods
The exam consists of an oral examination plus the development of a project.
The oral exam covers the entire course program and the assessment is expressed with a vote from 0 to 30.
The project is agreed upon with the student starting from a list of projects proposed by the teacher. The evaluation of the project is expressed by a vote from 0 to 30.
The final grade is the average of the two assessments, oral exam and project.
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Tutoring faculty members
Graduation
Attendance modes and venues
As stated in the Teaching Regulations, attendance at the course of study is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.
