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 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 Enrollment FAQs

Academic staff

A B C D F G P R T V Z

Assfalg Michael

symbol email michael.assfalg@univr.it symbol phone-number +39 045 802 7949

Bassi Roberto

symbol email roberto.bassi@univr.it symbol phone-number 045 8027916

Bellin Diana

symbol email diana.bellin@univr.it symbol phone-number 045 802 7090

Bossi Alessandra Maria

symbol email alessandramaria.bossi@univr.it symbol phone-number 0458027946

Cecconi Daniela

symbol email daniela.cecconi@univr.it symbol phone-number +39 045 802 7056; Lab: +39 045 802 7087

Dall'Osto Luca

symbol email luca.dallosto@univr.it symbol phone-number +39 045 802 7806

Delledonne Massimo

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

Furini Antonella

symbol email antonella.furini@univr.it symbol phone-number 045 802 7950; Lab: 045 802 7043

Giorgetti Alejandro

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

Pandolfini Tiziana

symbol email tiziana.pandolfini@univr.it symbol phone-number 045 802 7918

Pecci Francesco

symbol email francesco.pecci@univr.it symbol phone-number 0458425454

Pezzotti Mario

symbol email mario.pezzotti@univr.it symbol phone-number +39045 802 7951

Rizzi Corrado

symbol email corrado.rizzi@univr.it symbol phone-number 045 802 7947

Torriani Sandra

symbol email sandra.torriani@univr.it symbol phone-number 045 802 7921
Foto personale,  July 18, 2012

Vallini Giovanni

symbol email giovanni.vallini@univr.it symbol phone-number 045 802 7098; studio dottorandi: 045 802 7095

Varanini Zeno

symbol email zeno.varanini@univr.it symbol phone-number 0458027830

Zoccatelli Gianni

symbol email gianni.zoccatelli@univr.it symbol phone-number +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 enrollment year.

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

ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti:
Un insegnamento a scelta tra i seguenti:
Altre attivita' formative
1
F
-
Prova finale
32
E
-
activated in the A.Y. 2012/2013
ModulesCreditsTAFSSD
Un insegnamento a scelta tra i seguenti:
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.




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

Teaching code

4S000869

Credits

6

Language

Italian

The teaching is organized as follows:

INGEGNERIA PROTEICA

Credits

3

Period

II semestre

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

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

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 also via the Univr app.

Graduation

Deadlines and administrative fulfilments

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

Need to activate a thesis internship

For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.

Final examination regulations

List of thesis proposals

theses proposals Research area
Dinamiche della metilazione del DNA e loro contributo durante il processo di maturazione della bacca di vite. Various topics
Miglioramento del profilo nutrizionale e funzionale di sfarinati di cereali mediante fermentazione con batteri lattici 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

Attendance modes and venues

As stated in the Didactic Regulations, there is no generalised obligation of attendance. Individual lecturers are, however, free to require a minimum number of hours of attendance for eligibilitỳ for the profit exam of the teaching they teach. In such cases, attendance of teaching activities is monitored in accordance with procedures communicated in advance to students.

Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.

The course's teaching activities take place in the Science and Engineering area, which is composed of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma cluster, and Villa Lebrecht and Villa Eugenia located in the San Floriano di Valpolicella cluster. 
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.


Career management


Student login and resources


Erasmus+ and other experiences abroad