Studying at the University of Verona

A.A. 2018/2019

Academic calendar

Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates. For further information, please get in touch with Operational unit: Science and Engineering Teaching and Student Services Unit

Definition of lesson periods
Period From To
I semestre Oct 1, 2018 Jan 31, 2019
II semestre Mar 4, 2019 Jun 14, 2019
Exam sessions
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
Degree sessions
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
Holidays
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

The exam roll calls are centrally administered by the operational unit  Science and Engineering Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment sistema ESSE3 .If you forget your password to the online services, please contact the technical office in your Faculty.

Exam calendar

Per dubbi o domande Read the answers to the more serious and frequent questions - F.A.Q. Examination enrolment

Academic staff

B C D F G M O P Q S T U V

Ballottari Matteo

matteo.ballottari@univr.it 045 802 7098

Bicego Manuele

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

Bonnici Vincenzo

vincenzo.bonnici@univr.it +39 045 802 7045

Boscaini Maurizio

maurizio.boscaini@univr.it

Buffelli Mario Rosario

mario.buffelli@univr.it +39 0458027268

Busato Federico

federico.busato@univr.it

Calanca Andrea

andrea.calanca@univr.it +39 045 802 7847

Capaldi Stefano

stefano.capaldi@univr.it +39 045 802 7907

Cicalese Ferdinando

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

Combi Carlo

carlo.combi@univr.it 045 802 7985

Daducci Alessandro

alessandro.daducci@univr.it +39 045 8027025

Dall'Alba Diego

diego.dallalba@univr.it +39 045 802 7074

Delledonne Massimo

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

Dell'Orco Daniele

daniele.dellorco@univr.it +39 045 802 7637

Dominici Paola

paola.dominici@univr.it 045 802 7966; Lab: 045 802 7956-7086

D'Onofrio Mariapina

mariapina.donofrio@univr.it 045 802 7801

Drago Nicola

nicola.drago@univr.it 045 802 7081

Farinelli Alessandro

alessandro.farinelli@univr.it +39 045 802 7842

Giachetti Andrea

andrea.giachetti@univr.it +39 045 8027998

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Maris Bogdan Mihai

bogdan.maris@univr.it +39 045 802 7074

Menegaz Gloria

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

Oliboni Barbara

barbara.oliboni@univr.it +39 045 802 7077

Paci Federica Maria Francesca

federicamariafrancesca.paci@univr.it +39 045 802 7909

Piccinelli Fabio

fabio.piccinelli@univr.it +39 045 802 7097

Posenato Roberto

roberto.posenato@univr.it +39 045 802 7967

Quaglia Davide

davide.quaglia@univr.it +39 045 802 7811

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

Storti Silvia Francesca

silviafrancesca.storti@univr.it +39 045 802 7908

Trabetti Elisabetta

elisabetta.trabetti@univr.it 045/8027209

Villa Tiziano

tiziano.villa@univr.it +39 045 802 7034

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.

TeachingsCreditsTAFSSD
6
A
(MAT/02)
6
C
(BIO/13)
12
C
(CHIM/03 ,CHIM/06)
6
A
(FIS/01)
English B1
6
E
-
TeachingsCreditsTAFSSD
12
B
(INF/01)
6
C
(BIO/18)
1 module to be chosen among the following
TeachingsCreditsTAFSSD
1 module to be chosen among the following
Other activities
3
F
-
Final exam
3
E
-

1° Anno

TeachingsCreditsTAFSSD
6
A
(MAT/02)
6
C
(BIO/13)
12
C
(CHIM/03 ,CHIM/06)
6
A
(FIS/01)
English B1
6
E
-

2° Anno

TeachingsCreditsTAFSSD
12
B
(INF/01)
6
C
(BIO/18)
1 module to be chosen among the following

3° Anno

TeachingsCreditsTAFSSD
1 module to be chosen among the following
Other activities
3
F
-
Final exam
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S00995

Credits

6

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Language of instruction

Italian

Period

II semestre dal Mar 4, 2019 al Jun 14, 2019.

Learning outcomes

The course introduces the fundamental discrete structures by emphasizing their use in the definition of mathematical models of biological relevance. The students will acquire knowledge about the es-sentials of discrete mathematics; formal notions and methods for studying problems by means of computers; methods for representation of biological information; and they will be able to apply such knowledge to analyze biological data of different types (genomic sequences, biological processes, networks of biological interactions) by means of information theoretic concepts.

Program

Discrete structures: sets, multisets, sequences, strings, operations, relations, functions, variables, parentheses and expressions. Numbers and induction: number systems, number representations, proofs by induction, definitions by induction of important number sequences. Structural induction over strings, trees e graphs. Recurrent schemata. Outlines of first order logical languages (terms, formulas, interpretations). Elements of combinatorics: allocations and partitions, binomial and multinomial coefficients. Multisets, Partitions of sets and integers. Formal languages, grammars and automata. Patterns and regular expressions, Chomsky hierarchy, finite state automata. Computing automata and Turing macjine. Decidability, semidecidability ed undecidability.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Vincenzo Manca Infobiotics Springer 2013

Examination Methods

Written and oral examination.

The written exam requires that the student is able to use correctly the formalism taught in the course for expressing synthetically and correctly the solutions to the problems asked in the exam text.

The oral examination starts by checking the answers given by the student in the written exam, possibly by asking specific clarifications and motivations to specific passages and statements. During this verification the student is also asked to refer about specific points of the course, with the intention of checking the understanding of the main concepts that the course intends to teach.

Teaching Material
Manca, V. - Infobiotics. Springer, 2013 (Chapters 5, 6, 7).
Manca V. - Vademecum all'Esame di Metodi Informazionali (with a list of definitions and theorems plus 100 exercises with the corresponding solutions).

Tipologia di Attività formativa D e F

Academic year

Course not yet included

Career prospects


Avvisi degli insegnamenti e del corso di studio

Per la comunità studentesca

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University Language Centre - CLA


Graduation

List of theses and work experience proposals

Stage Research area
Correlated mutations Various topics

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.