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 15, 2022 Jul 15, 2022
Sessione Autunnale Oct 14, 2022 Oct 14, 2022
Sessione Invernale Mar 14, 2023 Mar 14, 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
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 L M P S

Accordini Simone

symbol email simone.accordini@univr.it symbol phone-number +39 045 8027657

Bicego Manuele

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

Bombieri Cristina

symbol email cristina.bombieri@univr.it symbol phone-number 045-8027284

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

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

Constantin Gabriela

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

Daducci Alessandro

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

Delledonne Massimo

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

Franco Giuditta

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

Giugno Rosalba

symbol email rosalba.giugno@univr.it symbol phone-number 0458027066

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

Malerba Giovanni

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

Marcon Alessandro

symbol email alessandro.marcon@univr.it symbol phone-number +39 045 802 7668

Marzola Pasquina

symbol email pasquina.marzola@univr.it symbol phone-number 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Molesini Barbara

symbol email barbara.molesini@univr.it symbol phone-number 045 802 7550

Perduca Massimiliano

symbol email massimiliano.perduca@univr.it symbol phone-number +39 045 802 7984

Sala Pietro

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

Salvagno Gian Luca

symbol email gianluca.salvagno@univr.it symbol phone-number 045 8124308-0456449264

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
Further linguistic skills (C1 English suggested)
3
F
-
Stages
3
F
-
Final exam
24
E
-
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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S004557

Coordinatore

Giuditta Franco

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Primo semestre dal Oct 3, 2022 al Jan 27, 2023.

Learning objectives

Knowledge and understanding The course is designed to first recall basic concepts of traditional computational models, such as formal languages and automata, and then present several models of bio-inspired computing, including bio-molecular algorithms. Main models of natural computing are presented, in terms of computational processes observed in and inspired by nature. Applying knowledge and understanding During the course students will aquire the following competences: Applying basic notions of discrete mathematics (sets, multisets, sequences, trees, graphs, induction, grammars and finite automata) to explain a few computational methods both to process genomic information and to investigate metabolic networks. Making judgements Students will develop the required skills in order to be autonomous in the following tasks: - choose and processing data in large genomic contexts; - choose the appropriate methodologies and tools for represent biological information in the context of discrete biological models. Communication skills The student will learn how to address the correct and appropriate methods and languages for communicating problems and solutions in the field of computationaql genomics and of biological dynamics. The course aims at developing the ability of the student both to master notions of discrete structures and dynamics, and to deepen his/her notion of Turing computation, in order to extend it to informational processes involving either natural or bio-inspired algorithms. Student's knowledge of all the topics explained in class will be tested at the exam, along with his/her learning and understanding skills. Lifelong learning skills Introduction to natural computing, biological algorithms, and life algorithmic strategies. Basic notions of discrete mathematics and of formal language theory (Chomsky's hierarchy, automata, and computability). Elements of information theory (information sources, codes, entropy, and entropy divergences, typical sequences, first and second Shannon's theory). Methods to extract and analyze genomic dictionaries. Genomic profiles and distributions of recurrent motifs. Software IGtools to analyze and visualize genomic data. Computational models of bio-molecular processes, such as DNA self-assembly and membrane computing. DNA computing and bio-complexity of bio-algorithms. DNA algorithms to solve NP-complete problems. MP grammars, networks, and metabolic dynamics.

Prerequisites and basic notions

Basic knowledge (provided by any bachelor degree in science) of: fundamentals of in-silico computation, discrete data structures, and algorithms

Program

The course provides students with knowledge on natural computational models, as computational processes both observed in nature and inspired by the functioning of natural systems. Namely, general knowledge on different natural and biological computational models will be given, with a focus on i) the design and implementation of bio-molecular algorithms (DNA computing), ii) cellular and metabolic distributed computation models, and iii) (alignment-free) methods to analyse genomic information.

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

In class lectures

Learning assessment procedures

Oral examination (about one hour). Optional projects or seminars may be agreed to improve the final evaluation.

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Evaluation criteria

Student's capability to communicate explained notions by means of an appropriate technical language (definitions, proofs, algorithms, bio-implementations, data analysis methods). Critical capability of comprehension and learning, development of theoretical and applied knowledge, and autonomy of the student will be evaluated as well.

Criteria for the composition of the final grade

Grade achieved at the oral exam may be incremented by by the evaluation of a project or seminar agreed between professor and student.

Exam language

either English or Italian

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
The fashion lab (1 ECTS) D Caterina Fratea (Coordinatore)
Primo semestre From 10/4/21 To 1/28/22
years Modules TAF Teacher
1° 2° Data Analysis for Biomedical Sciences D Gloria Menegaz (Coordinatore)
1° 2° Introduction to Robotics to students of scientific courses. D Paolo Fiorini (Coordinatore)
1° 2° Matlab-Simulink programming D Bogdan Mihai Maris (Coordinatore)
Modules borrowed from the Faculty of Giurisprudenza
1° periodo lezioni (1B) From 11/5/21 To 12/16/21
years Modules TAF Teacher
The fashion lab (1 ECTS) D Caterina Fratea (Coordinatore)
Secondo semestre From 3/7/22 To 6/10/22
years Modules TAF Teacher
1° 2° Introduction to Robotics to students of scientific courses. D Paolo Fiorini (Coordinatore)
1° 2° Introduction to 3D printing D Franco Fummi (Coordinatore)
1° 2° HW components design on FPGA D Franco Fummi (Coordinatore)
1° 2° Rapid prototyping on Arduino D Franco Fummi (Coordinatore)
1° 2° Protection of intangible assets (SW and invention)between industrial law and copyright D Roberto Giacobazzi (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Python programming language D Giulio Mazzi (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.

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