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. 2011/2012

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 13, 2011 Oct 13, 2011
Sessione straordinaria Dec 16, 2011 Dec 16, 2011
Sessione invernale Mar 15, 2012 Mar 15, 2012
Sessione estiva Jul 19, 2012 Jul 19, 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 Enrolment FAQs

Academic staff

A B C D F G P R T V Z

Assfalg Michael

michael.assfalg@univr.it +39 045 802 7949

Bassi Roberto

roberto.bassi@univr.it 045 802 7916; Lab: 045 802 7915

Bellin Diana

diana.bellin@univr.it 045 802 7090

Bossi Alessandra Maria

alessandramaria.bossi@univr.it 045 802 7946 (Studio) - 045 802 7833 (Laboratorio)

Cecconi Daniela

daniela.cecconi@univr.it +39 045 802 7056; Lab: +39 045 802 7087

Dall'Osto Luca

luca.dallosto@univr.it +39 045 802 7806

Delledonne Massimo

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

Furini Antonella

antonella.furini@univr.it 045 802 7950; Lab: 045 802 7043

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Pandolfini Tiziana

tiziana.pandolfini@univr.it 045 802 7918

Pecci Francesco

francesco.pecci@univr.it 0458425454

Pezzotti Mario

mario.pezzotti@univr.it +39045 802 7951

Rizzi Corrado

corrado.rizzi@univr.it 045 802 7947

Torriani Sandra

sandra.torriani@univr.it 045 802 7921
Foto personale,  July 18, 2012

Vallini Giovanni

giovanni.vallini@univr.it 045 802 7098; studio dottorandi: 045 802 7095

Varanini Zeno

zeno.varanini@univr.it 0458027830

Zoccatelli Gianni

gianni.zoccatelli@univr.it +39 045 802 7952

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.

ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti:
6
B
(AGR/16)
Un insegnamento a scelta tra i seguenti:
Altre attivita' formative
1
F
-
Prova finale
32
E
(-)

2° Year

ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti:
6
B
(AGR/16)
Un insegnamento a scelta tra i seguenti:
Altre attivita' formative
1
F
-
Prova finale
32
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

4S000869

Credits

6

The teaching is organized as follows:

Ingegneria proteica

Credits

3

Period

II semestre

Academic staff

Alessandra Maria Bossi

Bioinformatica

Credits

3

Period

II semestre

Academic staff

Alejandro Giorgetti

Learning outcomes

Il corso di Ingegneria proteica si propone di fornire allo studente le basi, teoriche e applicative, riguardanti gli algoritmi, i programmi e i protocolli sperimentali utilizzati nel disegno razionale di proteine. Verranno proposti alcuni casi-modello selezionati dalla letteratura più recente.
Il corso si divide in due moduli: A) Ingegneria proteica in vitro e B) Ingegneria proteica in silico.

To provide a molecular basis of life processes for students who are willing to use informatics and calculus.
The course is directed to students/graduates in physics, chemistry, informatics or biology

Program

Ingegneria Proteica
 Struttura delle proteine, motivi, folding
 Disegno razionalizzato delle proteine: mutagenesi sito-specifica
 Evoluzione diretta: mutagenesi random, DNA-shuffling
 Ingegneria de novo di proteine
 Applicazioni di disegno razionalizzato per ottimizzare le proprietà di catalisi di un enzima, o per l'inserimento di proteine in biosensori

Bioinformatica
• Protein structure prediction and structural genomics, which attempt to systematically produce accurate structural models for three-dimensional protein structures that have not been determined experimentally.
• Computational biochemistry and biophysics, which make extensive use of structural modeling and simulation methods such as molecular dynamics and Monte Carlo method-inspired Boltzmann sampling methods in an attempt to elucidate the kinetics and thermodynamics of protein functions. Computational Biophysics is concerned with solving biological and biomedical problems using physical, mathematical and computational methods.Computational Biophysics is recognized as an essential element in modern biological and biomedical research. There have been fundamental changes in biology and medicine, over the past decade, due to spectacular advances in biomedical imaging, genomics, and proteomics. The nature of these changes demands the application of novel theories and advanced computational tools to decipher the implications of these data, and to devise methods of controlling or modifying biological function. Consequently, Computational Biologists must be well trained and grounded in biology, physics, mathematics, and computer science. Interdisciplinary field that applies the principles and techniques of computer science, chemistry, applied mathematics, statistics and engineering to address biological problems. Some of these problems involve the development of computational and statistical data analysis methods and in developing mathematical modeling and computational simulation techniques. By these means it addresses scientific research topics with their theoretical and experimental questions without a laboratory. It is connected to the following fields:
• Computational biomodeling, a field concerned with building computer models of biological systems.
• Bioinformatics, which applies algorithms and statistical techniques to the interpretation, classification and understanding of biological datasets. These typically consist of large numbers of DNA, RNA, or protein sequences. Sequence alignment is used to assemble the datasets for analysis. Comparisons of homologous sequences, gene finding, and prediction of gene expression are the most common techniques used on assembled datasets; however, analysis of such datasets have many applications throughout all fields of biology.
• Mathematical biology aims at the mathematical representation, treatment and modeling of biological processes, using a variety of applied mathematical techniques and tools.
• Computational genomics, a field within genomics which studies the genomes of cells and organisms. High-throughput genome sequencing produces lots of data, which requires extensive post-processing (genome assembly) and uses DNA microarray technologies to perform statistical analyses on the genes expressed in individual cell types. This can help find genes of interest for certain diseases or conditions. This field also studies the mathematical foundations of sequencing. Advances in many areas of genomics research are heavily rooted in engineering technology, from the capillary electrophoresis units used in large-scale DNA sequencing projects. [1]
• Molecular modeling, which consists of modelling the behaviour of molecules of biological importance.

Examination Methods

Scritto

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.

Graduation

List of theses and work experience proposals

theses proposals Research area
Dinamiche della metilazione del DNA e loro contributo durante il processo di maturazione della bacca di vite. Various topics
Risposte trascrittomiche a sollecitazioni ambientali in vite Various topics
Studio delle basi genomico-funzionali del processo di embriogenesi somatica in vite Various topics

Gestione carriere


Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance is not mandatory. However, professors may require students to attend lectures for a minimum of hours in order to be able to take the module exam, in which case the methods that will be used to check attendance will be explained at the beginning of the module. 
Please refer to the Crisis Unit's latest updates for the mode of teaching.

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.