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 Jul 15, 2020 Jul 15, 2020
Sessione Autunnale Oct 16, 2020 Oct 16, 2020
Sessione Autunnale Dicembre Dec 11, 2020 Dec 11, 2020
Sessione Invernale Mar 17, 2021 Mar 17, 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 L M N O P Q S T V Z

Angeleri Lidia

symbol email lidia.angeleri@univr.it symbol phone-number 045 802 7911

Ballottari Matteo

symbol email matteo.ballottari@univr.it symbol phone-number 045 802 7098

Betterle Nico

symbol email nico.betterle@univr.it symbol phone-number +39 045 8027807

Bicego Manuele

symbol email manuele.bicego@univr.it symbol phone-number +39 045 802 7072

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Canevari Giacomo

symbol email giacomo.canevari@univr.it symbol phone-number +39 045 8027979

Capaldi Stefano

symbol email stefano.capaldi@univr.it symbol phone-number +39 045 802 7907

Cicalese Ferdinando

symbol email ferdinando.cicalese@univr.it symbol phone-number +39 045 802 7969

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number 045 802 7985

Daducci Alessandro

symbol email alessandro.daducci@univr.it symbol phone-number +39 045 8027025

Della Libera Chiara

symbol email chiara.dellalibera@univr.it symbol phone-number +39 0458027219

Delledonne Massimo

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

Dell'Orco Daniele

symbol email daniele.dellorco@univr.it symbol phone-number +39 045 802 7637

Dominici Paola

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

D'Onofrio Mariapina

symbol email mariapina.donofrio@univr.it symbol phone-number 045 802 7801

Drago Nicola

symbol email nicola.drago@univr.it symbol phone-number 045 802 7081

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963

Fratea Caterina

symbol email caterina.fratea@univr.it symbol phone-number 045 842 5358

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998

Giacobazzi Roberto

symbol email roberto.giacobazzi@univr.it symbol phone-number +39 045 802 7995

Giorgetti Alejandro

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

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937

Maris Bogdan Mihai

symbol email bogdan.maris@univr.it symbol phone-number +39 045 802 7074

Mazzi Giulio

symbol email giulio.mazzi@univr.it

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Migliorini Sara

symbol email sara.migliorini@univr.it symbol phone-number +39 045 802 7908

Monti Francesca

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

Nardon Chiara

symbol email chiara.nardon@univr.it

Oliboni Barbara

symbol email barbara.oliboni@univr.it symbol phone-number +39 045 802 7077

Posenato Roberto

symbol email roberto.posenato@univr.it symbol phone-number +39 045 802 7967

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811

Sala Pietro

symbol email pietro.sala@univr.it symbol phone-number 0458027850

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 8027940

Storti Silvia Francesca

symbol email silviafrancesca.storti@univr.it symbol phone-number +39 045 802 7908

Trabetti Elisabetta

symbol email elisabetta.trabetti@univr.it symbol phone-number 045/8027209

Valenti Maria Teresa

symbol email mariateresa.valenti@univr.it symbol phone-number +39 045 812 8450

Villa Tiziano

symbol email tiziano.villa@univr.it symbol phone-number +39 045 802 7034

Zivcovich Franco

symbol email franco.zivcovich@univr.it

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
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B1
6
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

4S003713

Credits

12

Coordinatore

Alejandro Giorgetti

Language

Italian

Scientific Disciplinary Sector (SSD)

BIO/10 - BIOCHEMISTRY

The teaching is organized as follows:

Mod.1 Laboratorio

Credits

3

Period

Primo semestre

Academic staff

Daniele Dell'Orco

Mod.1 Teoria

Credits

3

Period

Primo semestre

Academic staff

Daniele Dell'Orco

Mod.2 Laboratorio

Credits

3

Period

Secondo semestre

Academic staff

Alejandro Giorgetti

Mod.2 Teoria

Credits

3

Period

Secondo semestre

Academic staff

Alejandro Giorgetti

Learning outcomes

The course will provide the theoretical and practical basis to understand and employ algorithms and programs currently used to retrieve and analyze data contained in the most used biological data re-positories. The course is divided into two modules, as detailed below. Module 1: In this module student will become acquainted with some of the most used software tools for managing data in proteomics, genomics, biochemistry, molecular and structural biology. Students will be introduced to the analysis and the visualization of structural data of biological macromolecules and their complexes, and to the design of simple static and dynamic models of biomolecular net-works. The students will also be introduced to the most modern fields of systems biology. Module 2: In this module students will learn how to employ the basic bioinformatic tools for the ana-lysis, interpretation and prediction of biological data in proteomics, genomics, biochemistry, molecular biology. This course offers the possibility of applying state of the art bioinformatic tools to solve biolo-gical problems

Program

------------------------
MM: Modulo 1
------------------------
Theoretical Module
- Overview of the main structural features of proteins and nucleic acids in relation to the concept of evolution. Introduction to biomolecular databases: online resources and their use
- Biological databases: organization and integration of information concerning: a) protein and nucleic acid sequences; b) biomolecular structures; c) bibliographic and scientific literature. Retrieve of specific information: use of limitations and Boolean operators.
- Sequence comparison and alignments: static and dynamic algorithms; substitution matrices (PAM,BLOSUM) - Search-algorithms: dynamic algorithms; Smith-Waterman; Needleman-Wunsch; statistic significance for an alignment (z-score, expectation values and probability); heuristic methods for local alignments; BLAST
- Multiple sequence alignments: ClustalW, search on specific databases, other algorithms, PSI-BLAST
- Introduction to Structural Bioinformatics: visualization and analysis of protein and nucleic acid 3D structures
- Methods to predict protein secondary structure elements starting from the sequence; introduction to neural networks. NN-based methods - Introduction to Systems Biology: Spatial and temporal scales, static and dynamic models, mathematical frameworks, introduction on signal transduction networks Laboratory Module
- NCBI databases: Entrez interface, Gene, UniGene, Protein, Uniprot and EBI
- Single and multiple sequence alignments, score matrices, optimal methods; online resources and spreadsheets - BLAST,PSI-BLAST and BLAT: online tools and their use
- Tools for multiple alignments, the Homologene databank, computation and visualization of multiple alignments - Introduction to PyMol and molecular visualization. Use of PSI-PRED and JPRED for predicting secondary structures from sequences - Systems biology: numerical simulation of simple biochemical reactions. Building simple kinetic models by using SBOTOOLBOX2 for Matlab; application to G-potein signalling cycles.

-----------------------
MM: Modulo 2
------------------------
Bioinformatic tools for the analysis of molecular evolution and phylogenesis: Molecular clock, substitution models, methods for the construction of phylogenetic trees.
Protein structural predictions: Comparative modeling, Fold recognition and ab initio methods.
Gene prediction Functional annotation Microarrays: databases and programs for the analysis of expression data. Introduction to the energetic treatment of proteins: MD simulations, ligand-protein and protein-protein docking.
The teaching includes: front lectures and hands-on laboratories on the PC. The students are also involved in a project to be developed in groups.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Examination Methods

------------------------
MM: Modulo 1
------------------------
In order to pass the examination, students shall demonstrate: - to understand the concept of homology and its practical implications in bioinformatics - to understand the difference between similarity and identity of biological sequences - to know how to query bioinformatics databases, in order to obtain and store relevant data and to conduct appropriate cross-searches on different databases - to know how to use algorithms for comparison of nucleotide and amino acid sequences - to know how to use software for molecular graphics and visualization - to know how to build simple interaction networks of biomolecules and simulate their time course.
Theory:
The exam consists of a written test with 5 open questions on the topics discussed in the course. Each correct question will score a maximum of 6 points. The test will last 75 minutes.
Laboratory :
The exam, which can be given on the same day of the theory part, is made of 3 exercises to be solved using the computer (each one has a maximum 10 points-score). The test will last 75 minutes.
Presentations:
At the end of January, groups of 2 or 3 students will present a database of their choice, which has been described in the January issue of Nucleic Acids Research (Database issue). A10 minute presentation (+ 3 minute for questions / discussion) shall be given, illustrating the database goals and an original test-case. Presentation will be given a score of 1 to 4, taking into account the depth of the presented subject, clarity and effectiveness of communication and mastery of the tools used.
Final score : The final score, in thirty's (/30), will be given by the average score of the theoretical and laboratory part, plus the score for the presentation.

------------------------
MM: Modulo 2
------------------------
The written exam is divided in two: a session of open questions regarding the theoretical arguments of the course: modelling, docking and gene annotation. The second phase consists in the preparation of a scientific-like article presenting the results obtained during the project development

Type D and Type F activities

1° periodo di lezioni From 9/30/19 To 12/14/19
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
I semestre From 10/1/19 To 1/31/20
years Modules TAF Teacher
Python programming language D Maurizio Boscaini (Coordinatore)
II semestre From 3/2/20 To 6/12/20
years Modules TAF Teacher
CyberPhysical Laboratory D Andrea Calanca (Coordinatore)
C++ Programming Language D Federico Busato (Coordinatore)
LaTeX Language D Enrico Gregorio (Coordinatore)
Matlab-Simulink programming D Bogdan Mihai Maris (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
Corso Europrogettazione D Not yet assigned
The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. D Matteo Cristani

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

Stage Research area
Correlated mutations Various topics

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Career management


Area riservata studenti