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
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 30, 2022
Degree sessions
Session From To
Sessione Estiva Jul 12, 2022 Jul 12, 2022
Sessione Autunnale Oct 18, 2022 Oct 18, 2022
Sessione Autunnale Dicembre Dec 6, 2022 Dec 6, 2022
Sessione Invernale Mar 13, 2023 Mar 13, 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 7, 2022
Festività pasquali Apr 15, 2022 Apr 19, 2022
Festa della Liberazione Apr 25, 2022 Apr 25, 2022
Festa di San Zeno - S. 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 Enrollment FAQs

Academic staff

B C D F G L M O P Q R S T Z

Ballottari Matteo

symbol email matteo.ballottari@univr.it symbol phone-number 045 802 7823

Betterle Nico

symbol email nico.betterle@univr.it symbol phone-number +39 045 8027871

Bicego Manuele

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

Calanca Andrea

symbol email andrea.calanca@univr.it symbol phone-number +39 045 802 7847

Canevari Giacomo

symbol email giacomo.canevari@univr.it symbol phone-number +390458027979

Capaldi Stefano

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

Carra Damiano

symbol email damiano.carra@univr.it symbol phone-number +39 045 802 7059

Cipriani Alessio

symbol email alessio.cipriani@univr.it symbol phone-number 049-8027932

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

Cozza Vittoria

symbol email vittoria.cozza@univr.it

Cristani Matteo

symbol email matteo.cristani@univr.it symbol phone-number 045 802 7983

Daducci Alessandro

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

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Dalla Preda Mila

symbol email mila.dallapreda@univr.it

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

Farinelli Alessandro

symbol email alessandro.farinelli@univr.it symbol phone-number +39 045 802 7842

Franco Giuditta

symbol email giuditta.franco@univr.it symbol phone-number +39 045 802 7045

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

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

Liptak Zsuzsanna

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

Mantovani Matteo

symbol email matteo.mantovani@univr.it symbol phone-number 045-802(7814)

Marino Valerio

symbol email valerio.marino@univr.it symbol phone-number +39 045 802 7227

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

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

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081

Quaglia Davide

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

Rizzi Romeo

symbol email romeo.rizzi@univr.it symbol phone-number +39 045 8027088

Romeo Alessandro

symbol email alessandro.romeo@univr.it symbol phone-number +39 045 802 7936; Lab: +39 045 802 7808

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 7850

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it

Trabetti Elisabetta

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

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 enrollment year.

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07

3° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
Final exam
3
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07
Modules Credits TAF SSD
Between the years: 2°- 3°
Between the years: 2°- 3°
Further activities
3
F
-

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

Language

Italian

Scientific Disciplinary Sector (SSD)

BIO/10 - BIOCHEMISTRY

Courses Single

Authorized

The teaching is organized as follows:

Mod.1 Laboratorio

Credits

3

Period

Semester 1

Academic staff

Valerio Marino

Mod.1 Teoria

Credits

3

Period

Semester 1

Academic staff

Daniele Dell'Orco

Mod.2 Laboratorio

Credits

3

Period

Semester 2

Academic staff

Alejandro Giorgetti

Mod.2 Teoria

Credits

3

Period

Semester 2

Academic staff

Alejandro Giorgetti

Learning objectives

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

Prerequisites and basic notions

There are no prerequisites

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.

Didactic methods

The course consists of frontal theory lessons, analysis and presentation of relevant scientific articles in the field of bioinformatics and laboratory lessons

Learning assessment procedures

------------------------ MM: Module 1 ---------------------- - Theory -------- The exam consists of a written test with 5 open questions on the topics covered in the course, each with a maximum score of 6 points. The paper has a duration of 75 minutes. The vote will be out of thirty. Laboratory ----------------- The exam, which can be taken on the same day as the theory paper, contains 3 exercises to be solved using the computer (each with a maximum of 10 points). The paper has a duration of 75 minutes. The vote will be out of thirty. Presentations -------------------- At the end of January the students present, in groups of 2 or 3 members, a database of their choice contained in the January issue of the journal Nucleic Acids Research (Database issue). They will have to illustrate, through a presentation of 10 minutes + 3 minutes for questions / discussions, the purpose of the database and an original application. They will obtain a score from 1 to 4, which will take into account the deepening of the topic, the clarity of presentation, the effectiveness of communication and mastery of the tools used. Final grade --------------- The final grade, out of thirty, will be obtained by adding the average between the grade of the theory test and the laboratory grade to the grade obtained in the presentation. ------------------------ MM: Module 2 ---------------------- - The exam is written and consists of an oral session of open questions on the topics covered in the course. In particular modeling, docking and gene annotation theories are required. The second phase consists in the drafting of a scientific handwritten document with the results obtained in the realization of the project assigned in class.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

To pass the exam, the student must demonstrate: - to have understood the concept of homology and its practical implications in the bioinformatics field - to have understood the difference between similarity and identity between biological sequences - to be able to query databases of bioinformatics interest, to obtain and store the related data, carrying out appropriate cross-searches on different databases in order to carry out specific searches - knowing how to use algorithms for the comparison of nucleotide and amino acid sequences - knowing how to use software for molecular graphics and visualization - knowing how to build simple interaction networks between biomolecules and simulate the time course. Knowing how to use the specific language of bioinformatics Understanding critically in a scientific article in the field of applied bioinformatics
Building three-dimensional models of proteins
Using molecular docking techniques and understanding the underlying theory

Criteria for the composition of the final grade

The grade of module I consists of a presentation of scientific articles in groups and a written exam during the exam session. The form II grade has the same structure. The total grade is the arithmetic average of the grades of the two modules

Exam language

Italiano

Type D and Type F activities

Le attività formative di tipologia D sono a scelta dello studente, quelle di tipologia F sono ulteriori conoscenze utili all’inserimento nel mondo del lavoro (tirocini, competenze trasversali, project works, ecc.). In base al Regolamento Didattico del Corso, alcune attività possono essere scelte e inserite autonomamente a libretto, altre devono essere approvate da apposita commissione per verificarne la coerenza con il piano di studio. Le attività formative di tipologia D o F possono essere ricoperte dalle seguenti attività.

1. Insegnamenti impartiti presso l'Università di Verona

Comprendono gli insegnamenti sotto riportati e/o nel Catalogo degli insegnamenti (che può essere filtrato anche per lingua di erogazione tramite la Ricerca avanzata).

Modalità di inserimento a libretto: se l'insegnamento è compreso tra quelli sottoelencati, lo studente può inserirlo autonomamente durante il periodo in cui il piano di studi è aperto; in caso contrario, lo studente deve fare richiesta alla Segreteria, inviando a carriere.scienze@ateneo.univr.it il modulo nel periodo indicato.

2. Attestato o equipollenza linguistica CLA

Oltre a quelle richieste dal piano di studi, per gli immatricolati dall'A.A. 2021/2022 vengono riconosciute:

  • Lingua inglese: vengono riconosciuti 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 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.

Gli immatricolati fino all'A.A. 2020/2021 devono consultare le informazioni che si trovano qui.

Modalità di inserimento a librettorichiedere l’attestato o l'equipollenza al CLA e inviarlo alla Segreteria Studenti - Carriere per l’inserimento dell’esame in carriera, tramite mail: carriere.scienze@ateneo.univr.it

3. Competenze trasversali

Scopri i percorsi formativi promossi dal TALC - Teaching and learning center dell'Ateneo, destinati agli studenti regolarmente iscritti all'anno accademico di erogazione del corso https://talc.univr.it/it/competenze-trasversali

Modalità di inserimento a libretto: non è previsto l'inserimento dell'insegnamento nel piano di studi. Solo in seguito all'ottenimento dell'Open Badge verranno automaticamente convalidati i CFU a libretto. La registrazione dei CFU in carriera non è istantanea, ma ci saranno da attendere dei tempi tecnici.  

4. Periodo di stage/tirocinio

Oltre ai CFU previsti dal piano di studi (verificare attentamente quanto indicato sul Regolamento Didattico): qui informazioni su come attivare lo stage. 

Verificare nel regolamento quali attività possono essere di tipologia D e quali di tipologia F.

Insegnamenti e altre attività che si possono inserire autonomamente a libretto

1° periodo lezioni (1A) From 9/16/21 To 10/30/21
years Modules TAF Teacher
2° 3° The fashion lab (1 ECTS) D Caterina Fratea (Coordinator)
Primo semestre From 10/4/21 To 1/28/22
years Modules TAF Teacher
2° 3° Introduction to Robotics for students of scientific courses. D Paolo Fiorini (Coordinator)
2° 3° Matlab-Simulink programming D Bogdan Mihai Maris (Coordinator)
1° periodo lezioni (1B) From 11/5/21 To 12/16/21
years Modules TAF Teacher
2° 3° The fashion lab (1 ECTS) D Caterina Fratea (Coordinator)
Secondo semestre From 3/7/22 To 6/10/22
years Modules TAF Teacher
2° 3° Introduction to Robotics for students of scientific courses. D Paolo Fiorini (Coordinator)
2° 3° Introduction to 3D printing D Franco Fummi (Coordinator)
2° 3° LaTeX Language D Enrico Gregorio (Coordinator)
2° 3° HW components design on FPGA D Franco Fummi (Coordinator)
2° 3° Rapid prototyping on Arduino D Franco Fummi (Coordinator)
2° 3° Protection of intangible assets (SW and invention)between industrial law and copyright D Roberto Giacobazzi (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: mathematics D Franco Zivcovich
2° 3° Python programming language D Giulio Mazzi (Coordinator)

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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.

Tutoring faculty members


Graduation

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

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
 


Career management


Student login and resources


Erasmus+ and other experiences abroad