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. 2021/2022

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
Primo semestre Oct 4, 2021 Jan 28, 2022
Secondo semestre Mar 7, 2022 Jun 10, 2022
Exam sessions
Session From To
Sessione invernale d'esame Jan 31, 2022 Mar 4, 2022
Sessione estiva d'esame Jun 13, 2022 Jul 29, 2022
Sessione autunnale d'esame Sep 1, 2022 Sep 29, 2022
Degree sessions
Session From To
Sessione estiva LM7 Jul 13, 2022 Jul 13, 2022
Sessione autunnale LM7 Oct 11, 2022 Oct 11, 2022
Sessione invernale LM7 Mar 9, 2023 Mar 9, 2023
Holidays
Period From To
Festa di Tutti i Santi Nov 1, 2021 Nov 1, 2021
Festa dell'Immacolata Concezione Dec 8, 2021 Dec 8, 2021
Festività natalizie Dec 24, 2021 Jan 2, 2022
Festa dell'Epifania Jan 6, 2022 Jan 6, 2022
Festività pasquali Apr 15, 2022 Apr 19, 2022
Festa della Liberazione Apr 25, 2022 Apr 25, 2022
Festività Santo Patrono di Verona May 21, 2022 May 21, 2022
Festa della Repubblica Jun 2, 2022 Jun 2, 2022
Chiusura estiva Aug 15, 2022 Aug 20, 2022

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 M P R S 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

Bossi Alessandra Maria

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

Commisso Mauro

mauro.commisso@univr.it 0458027078

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

Guzzo Flavia

flavia.guzzo@univr.it 045 802 7923

Molesini Barbara

barbara.molesini@univr.it 045 802 7550

Pandolfini Tiziana

tiziana.pandolfini@univr.it 045 802 7918

Rossato Marzia

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

Sidali Katia Laura

katialaura sidali@univr it 045 802 8592

Simonato Barbara

barbara.simonato@univr.it +39 045 802 7832; Lab. 7960

Tornielli Giovanni Battista

giovannibattista.tornielli@univr.it 045 6835623

Torriani Sandra

sandra.torriani@univr.it 045 802 7921

Vandelle Elodie Genevieve Germaine

elodiegenevieve.vandelle@univr.it 0458027826

Varanini Zeno

zeno.varanini@univr.it 0458027830

Vitulo Nicola

nicola.vitulo@univr.it 0458027982

Zamboni Anita

anita.zamboni@univr.it +39 045 8027901

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.

Modules Credits TAF SSD
Between the years: 1°- 2°

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 aims 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. By the end of the course students will be able to approach planning of transcriptomic analysis and to understand transcriptomic data and their interpretation presented in scientific paper. Transcriptomic (laboratory part) The laboratory part of this Course has as main aim to provide to students the knowledge for the correct design, application and interpretation of a transcriptomic analysis. Students will have the opportunity 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 transcriptomic 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 Quantification Matrix); -use statistical approaches suitable to the experimental problem; -apply the metabolomics analysis to the investigation of the biological complexity of cells/ tissues/ organs/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) -plan an experimental design; -interpret some mass spectra; -identify some simple metabolites through the fragmentation trees; -process a complex metabolomics experiment through specific software; -analyse a complex metabolomics experiment using the suitable statistic approaches; -acquire an appropriate language. Proteomics (theory part) The aim of the module is to provide the theoretical basis for addressing a proteomic analysis. The module begins by providing knowledge about the physico-chemical characteristics of the protein sample and about the related methods to handle and fractionate such sample. Subsequently the proteomics methods are explained, providing knowledge on the separative methods used in proteomics (in gel, gel free), in mass spectrometric analysis of peptides and finally on the identification of proteins. The module aims to provide theoretical-strategic proteomics skills: the knowledge of the protein material and of the sample in analysis, mastering the methods to extract proteins from the sample, decision-making skills in the choice of the separative method; basic analysis skills in mass spectrometry and spectra reading; research skills on in silico databases for protein identification, result validation skills; ability to define a quantitative strategy of proteomic analysis. The educational path aims to provide all the necessary knowledge to mature the ability to apply the proteomics investigation to agro-industrial problems, including the adulteration of foods, the origin and traceability of raw materials. Proteomics (laboratory part) The practicals are intended to furnish wet-lab proteomic-abilities to the student. It aims at bringing the student closer to the methods and protocols typical of the proteomic research, helping to translate the theory into experimental phases. The bases of the wet-lab proteomic analysis are provided, addressing the issue of the experimental design, the sample processing, the gel separation methods and the silico analysis. The laboratory is aimed at developing experimental proteomics skills. The type of samples selected for the laboratory will be the traceability of the food product.

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

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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

Le attività formative di tipologia D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite. Dal 1° dicembre 2021 al 27 febbraio 2022 e dal 2 maggio 2022 al 15 luglio 2022, tramite il presente modulo gli studenti possono richiedere l'inserimento di attività didattiche in TAF D ed F che non possono inserire autonomamente nel proprio piano di studi tramite la procedura on-line.

COMPETENZE LINGUISTICHE - dal 1° ottobre 2021 (Delibera del Consiglio della Scuola di Scienze e Ingegneria del 30 marzo 2021) per gli immatricolati dall'A.A. 2021/2022

  • Lingua inglese: vengono riconosciuti automaticamente 3 CFU per ogni livello di competenza superiore a quello richiesto dal corso di studio (se non già riconosciuto nel ciclo di studi precedente).
  • Altre lingue e italiano per stranieri: vengono riconosciuti automaticamente 3 CFU per ogni livello di competenza a partire da A2 (se non già riconosciuto nel ciclo di studi precedente).
Tali CFU saranno riconosciuti, fino ad un massimo di 6 CFU complessivi, di tipologia F se il piano didattico lo consente, oppure di tipologia D.
Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.

COMPETENZE TRASVERSALI
Scopri i percorsi formativi promossi dal  Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali:

Attenzione: agli studenti, che hanno conseguito il livello B2 d’inglese nelle loro carriere triennali, si sottolinea la necessità di sostituire il livello B2 d’inglese completo, previsto dal piano didattico, con il livello C1 informatizzato d’inglese oppure di acquisire altra competenza linguistica in una lingua comunitaria almeno di livello B1 completo.

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

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


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.