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 1, 2019 Jan 31, 2020
II semestre Mar 2, 2020 Jun 12, 2020
Exam sessions
Session From To
Sessione invernale d'esame Feb 3, 2020 Feb 28, 2020
Sessione estiva d'esame Jun 15, 2020 Jul 31, 2020
Sessione autunnale d'esame Sep 1, 2020 Sep 30, 2020
Degree sessions
Session From To
Sessione estiva di laurea LM9 Jul 14, 2020 Jul 14, 2020
Sessione autunnale di laurea LM9 Oct 9, 2020 Oct 9, 2020
Sessione invernale di laurea LM9 Mar 12, 2021 Mar 12, 2021
Holidays
Period From To
Festa di Ognissanti Nov 1, 2019 Nov 1, 2019
Festa dell'Immacolata Dec 8, 2019 Dec 8, 2019
Vacanze di Natale Dec 23, 2019 Jan 6, 2020
Vacanze di Pasqua Apr 10, 2020 Apr 14, 2020
Festa della Liberazione Apr 25, 2020 Apr 25, 2020
Festa del lavoro May 1, 2020 May 1, 2020
Festa del Santo Patrono May 21, 2020 May 21, 2020
Festa della Repubblica Jun 2, 2020 Jun 2, 2020
vacanze estive Aug 10, 2020 Aug 23, 2020

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 H K L M R S T V

Assfalg Michael

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

Astegno Alessandra

symbol email alessandra.astegno@univr.it symbol phone-number 045802 7955

Avesani Linda

symbol email linda.avesani@univr.it symbol phone-number +39 045 802 7839

Benini Anna

symbol email anna.benini@univr.it symbol phone-number 045 8027603

Boaretti Marzia

symbol email marzia.boaretti@univr.it symbol phone-number 045 8027661

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Bossi Alessandra Maria

symbol email alessandramaria.bossi@univr.it symbol phone-number 045 802 7946 (Studio) - 045 802 7833 (Laboratorio)

Cecconi Daniela

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

Constantin Gabriela

symbol email gabriela.constantin@univr.it symbol phone-number 045-8027102

Corbo Vincenzo

symbol email vincenzo.corbo@univr.it symbol phone-number + 39 0458126029

Decimo Ilaria

symbol email Ilaria.decimo@univr.it symbol phone-number 045 8027509

Delledonne Massimo

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

Dominici Paola

symbol email paola.dominici@univr.it symbol phone-number 045 802 7966; Lab: 045 802 7956-7086

Fabene Paolo

symbol email paolo.fabene@univr.it symbol phone-number 0458027267

Giorgetti Alejandro

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

Gottardo Rossella

symbol email rossella.gottardo@univr.it symbol phone-number 045 8124247

Krampera Mauro

symbol email mauro.krampera@univr.it symbol phone-number 0458124034

Laudanna Carlo

symbol email carlo.laudanna@univr.it symbol phone-number 045-8027689

Liptak Zsuzsanna

symbol email zsuzsanna.liptak@univr.it symbol phone-number +39 045 802 7032

Lleo'Fernandez Maria Del Mar

symbol email maria.lleo@univr.it symbol phone-number 045 8027194

Malerba Giovanni

symbol email giovanni.malerba@univr.it symbol phone-number 045/8027685

Mazzariol Annarita

symbol email annarita.mazzariol@univr.it symbol phone-number 045 8027690

Montagnana Martina

symbol email martina.montagnana@univr.it symbol phone-number +39 045 812 6698

Monti Francesca

symbol email francesca.monti@univr.it symbol phone-number 045 802 7910

Rossato Marzia

symbol email marzia.rossato@univr.it symbol phone-number +39 045 802 7800

Signoretto Caterina

symbol email caterina.signoretto@univr.it symbol phone-number 045 802 7195

Tagliaro Franco

symbol email franco.tagliaro@univr.it symbol phone-number 045 8124618-045 8124246

Turco Alberto

symbol email alberto.turco@univr.it symbol phone-number 0458027189

Turrina Stefania

symbol email stefania.turrina@univr.it symbol phone-number 045/8027622

Vettori Andrea

symbol email andrea.vettori@univr.it symbol phone-number 045 802 7861/7862

Vitulo Nicola

symbol email nicola.vitulo@univr.it symbol phone-number 0458027982

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
One course to be chosen among the following
One course to be chosen among the following
ModulesCreditsTAFSSD
Training
2
F
-
Final exam
40
E
-

1° Year

ModulesCreditsTAFSSD
One course to be chosen among the following
One course to be chosen among the following

2° Year

ModulesCreditsTAFSSD
Training
2
F
-
Final exam
40
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°Two courses to be chosen among the following ("Biotechnology in Neuroscience" and "Clinical proteomics" 1st and 2nd year; the other courses 2nd year only)

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

4S003667

Coordinatore

Nicola Vitulo

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

BIO/18 - GENETICS

Period

II semestre dal Mar 2, 2020 al Jun 12, 2020.

Learning outcomes

The advent of the new sequencing technology (Next Generation Sequencing, NGS) had a great impact on the ability to study genome complexity at genomic, transcriptomic and epigenetic level and provided interesting opportunities for the development of bioinfomatic resources for data analyses and management. The course will provide a general overview of the main computational methods based in NGS data that can be applied in genomic studies (mainly focused on the human genome) as for example , sequence alignment, genome sequencing, genome resequencing for the identification of variants, transcriptomic analysis for the identification of differentially expressed genes. At the end of the course the student should be able to: Know the main data file formats Know the different algorithm used in genomic studies and their applications Setting up a pipeline for data managing and analysis

Program

1. Introduction to Next Generation Sequencing (NGS) data
• Biases and sequencing errors of Illumina technology
• FastQ file format
• Quality reads assessment (FastQC software)
• Reads preprocessing

2. Overview of bioinformatics methods for genome assembly
• Overlap-layout-consensus
• Debrujin graph
• Genome assembly assessment

3. Sequence alignment of NGS data
• Dynamic programming
• Heuristic methods
• SAM/BAM format

4. Resequencing and variant calling
• Identification of germline variants
• Identification of somatic variants
• Bioinformatics methods for the identification of structural variations (Insertion and Deletion, Translocation,Copy number variation)
• Variant Calling File (VCF) format and Genomic VCF format

5. Computational tools for prioritizing candidate genes

6. Transcriptomic analysis and RNA-seq
• RNA-seq genome alignment (TopHat, STAR)
• Transcripts reconstruction
• Gene quantification
• Data normalization
• Identification of differentially expressed genes
• Gene enrichment and gene set analysis

Bioinformatics laboratory
• Introduction to bash and linux operative system
• Usage of FastQC software for sequence quality assessment
• Setting up of a pre-processing sequence pipeline
• Sequence alignment with bowtie2
• BAM/SAM file manipulation

Examination Methods

The exam consists of a written verification of the level of knowledge regarding the argument of the course. The exam consist of six open questions. The student need to demonstrate the understanding of the method and application of the major bioinformatic programs and approaches learned during the course.

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Type D and Type F activities

I semestre From 10/1/19 To 1/31/20
years Modules TAF Teacher
Python programming language D Maurizio Boscaini (Coordinatore)

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

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

List of theses and work experience proposals

theses proposals Research area
Thesis proposal for CdLM in Molecular and medical Biotechnology - LM9 Analytical chemistry - Analytical chemistry
Thesis proposal for CdLM in Molecular and medical Biotechnology - LM9 Biochemistry and molecular mechanisms of signal transduction - Biochemistry and molecular mechanisms of signal transduction
Thesis proposal for CdLM in Molecular and medical Biotechnology - LM9 Spectroscopic and spectrometric techniques - Spectroscopic and spectrometric techniques
Studio delle proprietà di luminescenza di lantanidi in matrici proteiche Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - Colloid chemistry
Stampa 3D di nanocompositi polimerici luminescenti per applicazioni in Nanomedicina Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - New materials: oxides, alloys, composite, organic-inorganic hybrid, nanoparticles
3D-bioprinting biofabrication laboratory Various topics
Organ on-a-chip 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.

Career management


Area riservata studenti