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.

A.A. 2016/2017

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 sem. Oct 3, 2016 Jan 31, 2017
II sem. Mar 1, 2017 Jun 9, 2017
Exam sessions
Session From To
Sessione invernale Appelli d'esame Feb 1, 2017 Feb 28, 2017
Sessione estiva Appelli d'esame Jun 12, 2017 Jul 31, 2017
Sessione autunnale Appelli d'esame Sep 1, 2017 Sep 29, 2017
Degree sessions
Session From To
Sessione estiva Appelli di Laurea Jul 19, 2017 Jul 19, 2017
Sessione autunnale Appelli di laurea Oct 18, 2017 Oct 18, 2017
Sessione invernale Appelli di laurea Mar 21, 2018 Mar 21, 2018
Holidays
Period From To
Festa di Ognissanti Nov 1, 2016 Nov 1, 2016
Festa dell'Immacolata Concezione Dec 8, 2016 Dec 8, 2016
Vacanze di Natale Dec 23, 2016 Jan 8, 2017
Vacanze di Pasqua Apr 14, 2017 Apr 18, 2017
Anniversario della Liberazione Apr 25, 2017 Apr 25, 2017
Festa del Lavoro May 1, 2017 May 1, 2017
Festa della Repubblica Jun 2, 2017 Jun 2, 2017
Vacanze estive Aug 8, 2017 Aug 20, 2017

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 Enrolment FAQs

Academic staff

A B C D F G L M P S

Accordini Simone

simone.accordini@univr.it +39 045 8027657

Belussi Alberto

alberto.belussi@univr.it +39 045 802 7980

Bicego Manuele

manuele.bicego@univr.it +39 045 802 7072

Bombieri Cristina

cristina.bombieri@univr.it 045-8027209

Bombieri Nicola

nicola.bombieri@univr.it +39 045 802 7094

Cicalese Ferdinando

ferdinando.cicalese@univr.it +39 045 802 7969

Combi Carlo

carlo.combi@univr.it 045 802 7985

Constantin Gabriela

gabriela.constantin@univr.it 045-8027102

Cristani Marco

marco.cristani@univr.it +39 045 802 7841

Daducci Alessandro

alessandro.daducci@univr.it +39 045 8027025

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Franco Giuditta

giuditta.franco@univr.it +39 045 802 7045

Giugno Rosalba

rosalba.giugno@univr.it 0458027066

Laudanna Carlo

carlo.laudanna@univr.it 045-8027689

Liptak Zsuzsanna

zsuzsanna.liptak@univr.it +39 045 802 7032

Malerba Giovanni

giovanni.malerba@univr.it 045/8027685

Manca Vincenzo

vincenzo.manca@univr.it 045 802 7981

Marcon Alessandro

alessandro.marcon@univr.it +39 045 802 7668

Menegaz Gloria

gloria.menegaz@univr.it +39 045 802 7024

Perduca Massimiliano

massimiliano.perduca@univr.it +39 045 802 7984

Sala Pietro

pietro.sala@univr.it 0458027850

Salvagno Gian Luca

gianluca.salvagno@univr.it 045 8124308-0456449264

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.

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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S004557

Coordinatore

Giuditta Franco

Credits

6

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Language

English en

Period

I sem. dal Oct 3, 2016 al Jan 31, 2017.

Learning outcomes

The course is designed to first recall basic concepts of traditional computational models, such as formal languages and automata, and then present several models of bio-inspired computing, also including bio-molecular algorithms. Main models of natural computing are presented, in terms of computational processes observed in and inspired by nature.

Some basic notions of discrete mathematics (sets, multisets, sequences, trees, graphs, induction, grammars and finite automata), of calculus, linear algebra and probability, are assumed, to explain a few computational methods both to elaborate genomic information and to investigate biological networks.

The course aims at developing the ability of the student i) to master notions of discrete structures and dynamics, ii) to deepen his/her notion of Turing computation and iii) extend it to informational processes involving either natural or bio-inspired algorithms. Student's knowledge of all the issues presented in class will be tested at the exam, together with his/her learning and understanding skills.

Program

Introduction to natural computing, biological algorithms, and life algorithmic strategies.

Basic notions of discrete mathematics and of formal language theory (Chomsky's hierarchy, automata, and computability).
Elements of information theory (information sources, codes, entropy, and entropy divergences, typical sequences, first and second Shannon's theory).

Methods to extract and analyze genomic dictionaries.
Genomic profiles and distributions of recurrent motifs.
Software IGtools to analyze and visualize genomic data.

Computational models of bio-molecular processes, such as DNA self-assembly and membrane computing.
DNA computing and bio-complexity of bio-algorithms.
DNA algorithms to solve NP-complete problems.
MP grammars, networks, and computational dynamics.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Garey, M. R. and Johnson, D. S. Computers intractability: a guide to the theory of NP-completeness Freeman 1979 0-7167-1045-5
Gheorghe Paun, Grzegorz Rozenberg, Arto Salomaa DNA computing: new computing paradigms (Edizione 3) Springer 2013
Vincenzo Manca Infobiotics Springer 2013
David G. Luenberger Introduction to Dynamic Systems - Theory, Models, and Applications  
V. K. Balakrishnan Introductory Discrete Mathematics  

Examination Methods

-- One (unique) written exam is proposed in the last lecture, along with about ten questions which cover the whole program. The exam is passed if a majority of questions is answered correctly, with a final evaluation greater or equal to 18/30.

-- Oral exam, covering the whole program, in each exam session. It is passed with an evaluation greater or equal to 18/30.

Written and oral questions are aimed at verifying the knowledge of theorems and proofs, algorithms and data analysis methods (explained in class), as well as verifying the problem/exercise solving ability of the student, developed in the course. In this context, student's skills of learning, understanding, and communication are tested contextually to his/her knowledge of concepts explained in the course.

Optional homework assignment (project), may be agreed with students who have already passed the (written or oral) exam, in order to increase the final vote with additional marks. It is meant either to deepen some argument of the course, of interest for the student, or to develop software to apply some knowledge assimilated in the course to specific biological systems. This is an opportunity for the student to apply his/her knowledge learnt in the course, by expressing autonomous initiatives.

Teaching materials

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.

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Gestione carriere


Graduation


Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.