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 sem. | Oct 2, 2017 | Jan 31, 2018 |
| II sem. | Mar 1, 2018 | Jun 15, 2018 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2018 | Feb 28, 2018 |
| Sessione estiva d'esame | Jun 18, 2018 | Jul 31, 2018 |
| Sessione autunnale d'esame | Sep 3, 2018 | Sep 28, 2018 |
| Session | From | To |
|---|---|---|
| Sessione di laurea estiva | Jul 18, 2018 | Jul 18, 2018 |
| Sessione di laurea autunnale | Nov 22, 2018 | Nov 22, 2018 |
| Sessione di laurea invernale | Mar 20, 2019 | Mar 20, 2019 |
| Period | From | To |
|---|---|---|
| Christmas break | Dec 22, 2017 | Jan 7, 2018 |
| Easter break | Mar 30, 2018 | Apr 3, 2018 |
| Patron Saint Day | May 21, 2018 | May 21, 2018 |
| Vacanze estive | Aug 6, 2018 | Aug 19, 2018 |
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 Enrolment FAQs
Academic staff
045 802 7823
mariacaterina.baruffi@univr.it
maurizio.boscaini@univr.it
federico.busato@univr.it
franco.zivcovich@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 enrolment year.
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2018/2019
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2019/2020
| Modules | Credits | TAF | SSD |
|---|
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.
Discrete Biological Models (2019/2020)
Teaching code
4S01908
Teacher
Coordinatore
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
II semestre dal Mar 2, 2020 al Jun 12, 2020.
Learning outcomes
Acquisition of methods of discrete mathematics in the analysis of biological phenomena, with a major emphasis on the computational analysis of genomes. In particular discrete probability and information theory are revisited in the perspective of genome analysis.
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, genomic indexes, genomic dictionaries, genomic distributions and entropies. Representations and visualizations of genomes. Types of codes and genetic code. Sequence duplications and double sequences. The sequence paradox and other life paradoxes. Cellular dynamics and recurrent equations. Biological networks and their principal aspects.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| T. M. Cover, J. A. Thomas | Elements of Information Theory (Edizione 1) | John Wiley & Sons, Inc. | 1991 | 0471062596 | |
| Vincenzo Manca | Infobiotics | Springer | 2013 | ||
| 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 soon also via the Univr app.
Erasmus+ and other experiences abroad
Graduation
List of theses and work experience proposals
| Stage | Research area |
|---|---|
| Correlated mutations | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.
