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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I sem. | Oct 3, 2016 | Jan 31, 2017 |
| II sem. | Mar 1, 2017 | Jun 9, 2017 |
| Session | From | To |
|---|---|---|
| Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
| Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
| Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
| Session | From | To |
|---|---|---|
| Sessione estiva Appelli di Laurea | Jul 13, 2017 | Jul 13, 2017 |
| Sessione autunnale Appelli di laurea | Oct 19, 2017 | Oct 19, 2017 |
| Sessione invernale Appelli di laurea | Mar 14, 2018 | Mar 14, 2018 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
| Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
| Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
| Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
| Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
| Festa del Lavoro | May 1, 2017 | May 1, 2017 |
| Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
| Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Vallini Giovanni
giovanni.vallini@univr.it 045 802 7098; studio dottorandi: 045 802 7095
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 |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
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.
Omics sciences (2016/2017)
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
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MM: MODULO II
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Furnish base theoretical and practical concepts for a proteomic study.
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MM: MODULO I
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------------------------ MM: Metabolomica teoria ------------------------ The main objective of the course is to introduce the metabolomics analysis as an instrument to investigate the biological complexity of cells/tissues/organs/organisms from the point of view of the small molecules, that are the intermediate and end products of the metabolism. The metabolomics approach will be described as pipeline, a chain of connected steps from the experiment design up to the analysis and the data modeling. ------------------------ MM: Trascrittomica laboratorio ------------------------ The practical part of this Course aims to provide knowledge for proper planning, application and interpretation of a transcriptomic analysis. More in detail students will have the opportunity to design the experimental plan for a trascriptomic analysis, face the wet lab sample preparation procedure, specifically forthe RNASeq approach, and will perform the bioinformatic data analysis and interpretation. ------------------------ MM: Trascrittomica teoria ------------------------ The theory part of this course has as aim to explain what a transcriptomic analsys 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.
Program
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MM: MODULO II
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------------------------ MM: Metabolomica laboratorio ------------------------ -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: Proteomica laboratorio ------------------------ 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: Proteomica teoria ------------------------ 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.
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MM: MODULO I
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------------------------ MM: Metabolomica teoria ------------------------ ------------------------ MM: Trascrittomica laboratorio ------------------------ Experimental design for transcriptomic analysis Sampling and RNA extraction from treated and untreated samples Evaluation of RNA quality (Bioanalyser) Preparation of a library for RNASeq analysis using the TruSeq Illumina protocol: mRNA purification, fragmentation, random primer cDNA synthesis, cDNA purification, second strand synthesis, fill in reaction, 3’ Adenilation, adapters ligation with sequencing index, purification of cDNA ligated, PCR enrichment, final purification Evaluation of library quality Bioinformatics analysis of reads and identification of differentially expressed (FASTQC, sequences trimming, sequences alligneament and statistical analsysi for identification of DEG, exercices with small dataset) Comparison to microarray dataset Data mining (Venn diagrams, gene ontology, enrichment analysis, clustering) ------------------------ MM: Trascrittomica teoria ------------------------ Transcriptome composition and control. Why to study a transcriptome. Methods for RNA extraction and RNA quality assessment for transcriptomics, basics in reverse transcription and methods for single gene expression analysis (summary) Genome wide expression analysis methods: basics and experimental design PCR based transcriptomic analysis (Differential display, cDNA AFLP) Hybridization based transcriptomic analysis (macroarray, microarray production, different microarray based oligo platforms, microarray design and controls, different protocols for probe preparation and labelling, hybridization protocols, image acquisition, procedure for data analysis, data mining) Sequencing based transcriptomic analysis (EST libraries, SAGE, MPSS, RNA Seq, Procedure for RNASeq library preparation, library quality assessment, library sequencing, procedure for RNASeq data analysis , data mining, examples of application)
Examination Methods
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MM: MODULO II
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------------------------ MM: Metabolomica laboratorio ------------------------ ------------------------ MM: Proteomica laboratorio ------------------------ Written 2 hours. ------------------------ MM: Proteomica teoria ------------------------ Written 2 hours
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MM: MODULO I
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------------------------ MM: Metabolomica teoria ------------------------ ------------------------ MM: Trascrittomica laboratorio ------------------------ Oral examination ------------------------ MM: Trascrittomica teoria ------------------------ Oral examination
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 |
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.