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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
I semestre Oct 3, 2011 Jan 31, 2012
II semestre Mar 1, 2012 Jun 15, 2012
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2012 Feb 29, 2012
Sessione estiva Jun 18, 2012 Jul 31, 2012
Sessione autunnale Sep 3, 2012 Sep 28, 2012
Degree sessions
Session From To
Sessione autunnale Oct 19, 2011 Oct 19, 2011
Sessione straordinaria Dec 13, 2011 Dec 13, 2011
Sessione invernale Mar 21, 2012 Mar 21, 2012
Sessione estiva Jul 16, 2012 Jul 16, 2012
Holidays
Period From To
Festa di Ognissanti Nov 1, 2011 Nov 1, 2011
Festa dell'Immacolata Concezione Dec 8, 2011 Dec 8, 2011
Vacanze Natalizie Dec 22, 2011 Jan 6, 2012
Vacanze Pasquali Apr 5, 2012 Apr 10, 2012
Festa della Liberazione Apr 25, 2012 Apr 25, 2012
Festa del Lavoro May 1, 2012 May 1, 2012
Festa del Patrono di Verona S. Zeno May 21, 2012 May 21, 2012
Festa della Repubblica Jun 2, 2012 Jun 2, 2012
Vacanze estive Aug 8, 2012 Aug 15, 2012

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.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B C D F G M P Q S T V

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980

Bicego Manuele

symbol email manuele.bicego@univr.it symbol phone-number +39 045 802 7072

Bonacina Maria Paola

symbol email mariapaola.bonacina@univr.it symbol phone-number +39 045 802 7046

Buffelli Mario Rosario

symbol email mario.buffelli@univr.it symbol phone-number +39 0458027268

Capaldi Stefano

symbol email stefano.capaldi@univr.it symbol phone-number +39 045 802 7907

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Delledonne Massimo

symbol email massimo.delledonne@univr.it symbol phone-number 045 802 7962; Lab: 045 802 7058

Dell'Orco Daniele

symbol email daniele.dellorco@univr.it symbol phone-number +39 045 802 7637

Dominici Paola

symbol email paola.dominici@univr.it symbol phone-number 045 802 7966; Lab: 045 802 7956-7086

D'Onofrio Mariapina

symbol email mariapina.donofrio@univr.it symbol phone-number 045 802 7801

Drago Nicola

symbol email nicola.drago@univr.it symbol phone-number 045 802 7081

Farinelli Alessandro

symbol email alessandro.farinelli@univr.it symbol phone-number +39 045 802 7842

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963

Franco Giuditta

symbol email giuditta.franco@univr.it symbol phone-number +39 045 802 7045

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998

Giorgetti Alejandro

symbol email alejandro.giorgetti@univr.it symbol phone-number 045 802 7982

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937

Guerriero Massimo

symbol email massimo.guerriero@univr.it

Macedonio Damiano

symbol email damiano.macedonio@univr.it symbol phone-number 045-802.7079

Manca Vincenzo

symbol email vincenzo.manca@univr.it symbol phone-number 045 802 7981

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Piccinelli Fabio

symbol email fabio.piccinelli@univr.it symbol phone-number +39 045 802 7097

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811

Sala Pietro

symbol email pietro.sala@univr.it symbol phone-number 0458027850

Trabetti Elisabetta

symbol email elisabetta.trabetti@univr.it symbol phone-number 045/8027209

Villa Tiziano

symbol email tiziano.villa@univr.it symbol phone-number +39 045 802 7034
marco-volpe,  February 3, 2011

Volpe Marco

symbol email marco.volpe@univr.it symbol phone-number +39 045 802 7814

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.

2° Year  activated in the A.Y. 2012/2013

ModulesCreditsTAFSSD
12
B
INF/01
12
C
BIO/10
6
C
BIO/18
activated in the A.Y. 2012/2013
ModulesCreditsTAFSSD
12
B
INF/01
12
C
BIO/10
6
C
BIO/18

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S01908

Coordinator

Giuditta Franco

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

I semestre dal Oct 1, 2013 al Jan 31, 2014.

Learning outcomes

The course is designed to introduce several methodologies to model phenomena occurring in nature, by means of discrete mathematical tools and computational systems. The goal is to develop the ability of the student to master different approaches of discrete biological modeling, by means of the presentation of the state of the art and of the most recent problematics. Basic theoretical concepts (of mathematics, computer science, biology) are recalled, to better understand both traditional mathematical models and computational models of cellular and molecular processes, proposed along with a few case studies.

Program

Part I (traditional mathematical models)
Introduction to different classes of models, namely to discrete models
Fundamentals of discrete mathematics, and combinatorics
Equivalence and order relations, induction and recurrence
Fibonacci numbers and golden section in nature
Growth dynamics of microorganisms and of bacterial cultures
Malthusian biological population growth (neutral and extended) models
Iterative biological models, recurrence equations solving criteria
Logistic map: stability analysis, periodic orbits, and chaotic behaviour
Lotka-Volterra prey-predator model
Cobweb model of supply/demand interaction
An example of probabilistic model: gambler's ruin

Part II (non-conventional bioinformatics models)
Computational models of bio-molecular processes
Computational complexity of bio-algorithms and NP-completeness
Informational structure of DNA molecule, operations, experimental techniques
Amplification processes for string recombination and concatenation
DNA algorithms solving SAT
Self-assembly biomolecular processes
Discrete models of metabolism

Examination Methods

Oral exam, with one written midterm exam

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

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.

Graduation

For schedules, administrative requirements and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.

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.
 


Career management


Student login and resources


Erasmus+ and other experiences abroad