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. 2018/2019

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 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 11, 2019 Jul 11, 2019
Sessione autunnale Oct 16, 2019 Oct 16, 2019
Sessione invernale Mar 12, 2020 Mar 12, 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
Vacanze estive Aug 5, 2019 Aug 18, 2019

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 D F G P R T V Z

Avesani Linda

linda.avesani@univr.it +39 045 802 7839

Bassi Roberto

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

Begalli Diego

diego.begalli@univr.it +39 045 8028731

Bellin Diana

diana.bellin@univr.it 045 802 7090

Bolzonella David

david.bolzonella@univr.it 045 802 7965

Boscaini Maurizio

maurizio.boscaini@univr.it

Bossi Alessandra Maria

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

Dall'Osto Luca

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

Favati Fabio

fabio.favati@univr.it +39 045 802 7919

Felis Giovanna

giovanna.felis@univr.it +390456835627

Furini Antonella

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

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Guzzo Flavia

flavia.guzzo@univr.it 045 802 7923

Pandolfini Tiziana

tiziana.pandolfini@univr.it 045 802 7918

Rossato Marzia

marzia.rossato@univr.it +39 045 802 7800

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

Vandelle Elodie Genevieve Germaine

elodiegenevieve.vandelle@univr.it 0458027826

Varanini Zeno

zeno.varanini@univr.it 0458027830

Zapparoli Giacomo

giacomo.zapparoli@univr.it +390458027047

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
6
B
(AGR/01)
12
B/C
(AGR/07 ,CHIM/01)
1 module to be chosen among the following
6
B
(CHIM/10)
ModulesCreditsTAFSSD
1 module to be chosen among the following
6
B
(AGR/16)
1 module to be chosen among the following
Training
3
F
-
Other activities
1
F
-
Final exam
32
E
-

1° Year

ModulesCreditsTAFSSD
6
B
(AGR/01)
12
B/C
(AGR/07 ,CHIM/01)
1 module to be chosen among the following
6
B
(CHIM/10)

2° Year

ModulesCreditsTAFSSD
1 module to be chosen among the following
6
B
(AGR/16)
1 module to be chosen among the following
Training
3
F
-
Other activities
1
F
-
Final exam
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

4S003719

Credits

12

The teaching is organized as follows:

Modulo ii

Credits

6

Period

See the unit page

Academic staff

See the unit page

Modulo i

Credits

6

Period

See the unit page

Academic staff

See the unit page

Learning outcomes

Transcriptomic (theory part)
The theory part of this course has as aim to explain what a transcriptomic analyses is and for which purpose it can be applied. Furthermore it aims to provide knowledge about the different approaches and technique which can be applied for a transcriptomic analysis.

Transcriptomic (laboratory part) The laboratory part of this Course has as main aim to provide to students the knowledge for the cor-rect design, application and interpretation of a transcriptomic analysis. Students will have the oppor-tunity to approach and discuss the experimental design for a transcriptomic experiment, to deal with preparation of samples for RNASeq analysis and will apply bioinformatics tools to interpret tran-scriptomic data.

Metabolomics (theory part)
- define the “targeted” and “untargeted” metabolomics approaches;
- discriminate the critical points of an experimental design;
- organize a plan for the extraction and analysis of metabolites suitable for the metabolites/class of metabolites of interest;
- describe the key elements for the raw data process till the production of the FQM (Feature Quantifi-cation Matrix);
- use statistical approaches suitable to the experimental problem;
- apply the metabolomics analysis to the investigation of the biological complexity of cells/ tissues/ or-gans/organisms, from the point of view of the small molecules, as intermediates or end
products of the metabolism;
- use an appropriate scientific language.

Metabolomics (laboratory part)
- Simulation of a “real world” experimental design of a metabolomics and transcriptomics experiment: the students, organized in work group, will receive an experimental problem and virtual resources (biological resources, department facilities, lab instrumentation and budget), and will be required to lay down an experimental plan;
- extraction of plant medium and low polar metabolites, cleaning of samples through Solid Phase Ex-traction, visit to the LC-MS facilities;
- LC-MS-based -untargeted metabolomics: recognition of molecular ions in LC-MS chromatogram; fragmentation trees; metabolite identification through m/z values and fragmentation trees;
- chromatogram processing and Feature Quantification Matrix building;
- multivariate and univariate data analysis.

Proteomics (theory part)
The unit is intended to provide the theoretical bases to tackle the proteomic analysis. Starting from the description of the physico-chemical characteristics of the sample and of the related methods to fractionate the sample, the course develops later in the account of the principal and most exploited separative methods serving the proteomic analysis (gel, gel free), in the elucidation of mass spec-trometric analysis for the proteome and of the in silico methods for identification of the proteins. Fur-thermore, the main methods used for quantitative proteomic analysis will be examined.

Proteomics (laboratory part)
Provides proteomic analysis experimental protocols, addressing the steps needed to map the prote-ome. The laboratory is divided into the following phases: experimental design, sample processing, separation methods in gel, protein identification by means of analysis in silico.

Program

------------------------
MM: MODULO II
------------------------
------------------------ MM: Metabolomica laboratorio ------------------------ -Simulation of a “real world” experimental design of a metabolomics and transcriptomics experiment: the students, organized in work group, will receive an experimental problem and virtual resources (biological resources, department facilities, lab instrumentation and budget), and will be required to lay down an experimental plan; -extraction of plant medium and low polar metabolites, cleaning of samples through Solid Phase Extraction, visit to the LC-MS facilities; -LC-MS-based -untargeted metabolomics: recognition of molecular ions in LC-MS chromatogram; fragmentation trees; metabolite identification through m/z values and fragmentation trees; -chromatogram processing and Feature Quantification Matrix building; -multivariate and univariate data analysis. ------------------------ MM: Proteomica laboratorio ------------------------ Sample preparation. Separation by means of Gel-Based Proteomics. Proteins and peptides mass spettrometry and mass/mass spectrometry. Protein identification methods and Protein Database Search. ------------------------ MM: Proteomica teoria ------------------------ The preliminary requisite to study proteomics, is to possess basic concepts of biochemistry and of the principal methods utilized in biochemistry. 1. Introduction. 2. Sample preparation. 3. Gel-Based Proteomics. 4. Gel-Free Proteomics. 5. Saple pre-fractionations and analysis of low abundant proteins. 6. Proteins and peptides mass spettrometry and mass/mass spectrometry. 7. Protein identification methods and Protein Database Search. 8. Quantitative Proteomics. 9. Examples of proteomics applied to food.
------------------------
MM: MODULO I
------------------------
------------------------ MM: Metabolomica teoria ------------------------ -the experimental design; -metabolite extraction and preparation for LC-MS; -data formats and conversion; -chromatogram analysis and metabolite annotation; -data preprocessing; the effect of the technique of data normalization; -data processing (with MZmine): m/z feature extraction, chromatogram deconvolution and alignement; production of the Feature Quantification Matrix; -data analysis through multivariate analysis (PCA, PLS-DA, OPLS-DA) and univariate analysis. ------------------------ MM: Trascrittomica laboratorio ------------------------ ------------------------ MM: Trascrittomica teoria ------------------------

Examination Methods

------------------------
MM: MODULO II
------------------------
------------------------ MM: Metabolomica laboratorio ------------------------ After a public presentation and a critical discussion of the work of each groups, each student will have a score (from 0 to 2) that will additively contribute to the final partial score of the metabolomics examination. ------------------------ MM: Proteomica laboratorio ------------------------ The exam is aimed at verifying the acquisition by the student of the skills described in the objectives (knowledge of the protein material and of the sample under analysis, mastery of the methods to extract proteins from the sample, decision-making skills in the choice of the separative method; analysis in mass spectrometry and spectra reading, in-silico database research skills for protein identification, result validation skills, ability to define a quantitative strategy of proteomic analysis). The exam is written, open questions, 2 hours. The written exam is integrated, upon student’s request, with an oral verification. The exam will be evaluated on the basis of the student's ability to answer the questions correlating concepts and methods in an appropriate manner and, where proposed, detailing the meaning of equations, or reporting relevant graphs. ------------------------ MM: Proteomica teoria ------------------------ The exam is aimed at verifying the acquisition by the student of the skills described in the objectives (knowledge of the protein material and of the sample under analysis, mastery of the methods to extract proteins from the sample, decision-making skills in the choice of the separative method; analysis in mass spectrometry and spectra reading, in-silico database research skills for protein identification, result validation skills, ability to define a quantitative strategy of proteomic analysis). The exam is written, open questions, 2 hours. The written exam is integrated, upon student’s request, with an oral verification. The exam will be evaluated on the basis of the student's ability to answer the questions correlating concepts and methods in an appropriate manner and, where proposed, detailing the meaning of equations, or reporting relevant graphs.
------------------------
MM: MODULO I
------------------------
------------------------ MM: Metabolomica teoria ------------------------ The examination will be an oral test aimed to verify : -the overall degree of knowledge of the subject of this course; -the scientific language skills. ------------------------ MM: Trascrittomica laboratorio ------------------------ The exam will be oral aiming to ascertain the students’ knowledge on the topics of lectures and lab practices. One third of the colloquium will be dedicated to test knowledge on topics treated in the lab part of the course. Student will discuss experimental planning or applications of transcriptomic analysis or apply tools for transcriptomic data analysis faced during the lab part. The exam will be same for both attending and non-attending students. ------------------------ MM: Trascrittomica teoria ------------------------ The exam will be oral aiming to ascertain the students’ knowledge on the topics of lectures and lab practices. Two third of the colloquium will be dedicated to test knowledge on topics treated in the theory part of the course. The exam will be same for both attending and non-attending students.

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 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.

Gestione carriere


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

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.