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
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 Y Z

Biesuz Mattia

symbol email mattia.biesuz@unitn.it symbol phone-number 0461 283551

Bombieri Nicola

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

Bontempi Pietro

symbol email pietro.bontempi@univr.it symbol phone-number +39 045 802 7614

Boscolo Galazzo Ilaria

symbol email ilaria.boscologalazzo@univr.it symbol phone-number +39 045 8127804

Brusini Lorenza

symbol email lorenza.brusini@univr.it symbol phone-number +39 045 802 7874

Calderan Laura

symbol email laura.calderan@univr.it symbol phone-number 0458027562

Combi Carlo

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

Di Marco Roberto

symbol email roberto.dimarco@univr.it symbol phone-number +39 045 802 7847

Fiorini Paolo

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

Fummi Franco

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

Giacobazzi Roberto

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

Ginesi Michele

symbol email michele.ginesi@univr.it

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

Oliboni Barbara

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

Piccinelli Fabio

symbol email fabio.piccinelli@univr.it symbol phone-number +39 045 802 7097

Quaglia Davide

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

Romeo Alessandro

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

Sansonetto Nicola

symbol email nicola.sansonetto@univr.it symbol phone-number 045-8027976

Schena Federico

symbol email federico.schena@univr.it symbol phone-number +39 045 842 5143 - +39 045 842 5120 - +39 0464 483 506

Selmi Luca

symbol email luca.selmi@unimore.it

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it

Yengui Ihsen

symbol email ihsen.yengui@univr.it

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.

CURRICULUM TIPO:
Modules Credits TAF SSD
Between the years: 2°- 3°
Between the years: 2°- 3°Altre attività formative: lo studente può scegliere tra le 2 seguenti opzioni: a) 2 CFU di seminari al 2 anno e 7 CFU di tirocinio al 3 anno oppure b) 9 CFU di tirocinio al 3 anno.

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

4S009872

Coordinator

Paolo Fiorini

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/06 - ELECTRONIC AND INFORMATICS BIOENGINEERING

Period

Semester 2 dal Mar 6, 2023 al Jun 16, 2023.

Learning objectives

Aim of the course is to give students the mathematical tools required for the analysis and modeling of linear, time-invariant (LTI) systems, and of the input/output signals to an LTI system. The model will allow students to study the main system properties and to address the general concepts of controller and filters to perform simple control actions on the dynamic system and filter operations on the input/output signals. The mathematical tools will be based on analysis methods in the time domain, as well as of the complex variables s, z and the frequency of the input/output signals. Analysis and synthesis will be carried out both for continuous and discrete time systems and signals. The theoretical concepts acquired during the course will be consolidated with exercise sessions addressing the solution of basic problems with analytical approach and with numerical simulations.

Prerequisites and basic notions

The course requires knowledge in Mathematical Analysis I and II, Physics I and II, Linear Algebra and Geometry, Fundamentals of Computer Science. Notions of Programming are also required (e.g., Java, C / C ++, Python).

Program

------------------------------------------
Program - THEORY
------------------------------------------
1. Introduction to the world of systems and signals.
2. Review of complex numbers, functions of complex variables, complex power series, convergence, Euler's formula.
3. Continuous time signals. Time domain: definitions, energy and power, fundamental signals.
4. Continuous-time systems: description using differential equations. Main properties: stability.
5. Linear time-invariant systems: impulse response, frequency response. Convolution. Bode diagrams.
6. The Laplace transform, the transfer function and the analysis of systems in s.
7. Frequency domain: Fourier series, Fourier transform.
8. Sampling theorem.
9. Discrete time signals. Study over time: definitions, fundamental signals.
10. Discrete time systems. Fundamental systems and definitions. Convolution. Filters: impulse response, forced response. ARMA model.
11. Frequency domain: Fourier transform and zeta transform. 12. Generalization to multidimensional signals.

-------------------------------------------
Program - LABORATORY
-------------------------------------------
During the laboratory sessions, some of the methodologies analyzed in the theory part will be deepened and problems will be solved, mainly using MATLAB. The software will be introduced and used to represent/analyze continuous and discrete signals and systems.

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 will consist of lectures in the classroom, along with shared slides, notes and possible additional material that could be useful to deepen the topics, and practical exercises at the computer in the laboratory.

Learning assessment procedures

The exam consists of two parts, theory and laboratory. The theory (written) part consists of theoretical questions regarding the topics covered during the course together with some exercises, all aimed at evaluating both the level of learning and understanding of the theoretical foundations studied during the course and the ability to critically apply them for solving engineering problems. The laboratory test will be carried out at the computer and will allow to evaluate the ability to use MATLAB in the field of systems and signals, with coding of short scripts for solving specific questions relating to the topics covered.

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

At the end of the course the student will have to demonstrate that:
1. they have fully understood the main topics inherent to systems and signals, both in continuous and discrete context, and of the related terminology;
2. have a critical view of the topics addressed during the course and of the results derived from the application of specific methods;
3. knowing how to apply the knowledge acquired to critically solve given engineering problems with varying degrees of complexity;
4. have achieved a good degree of competence in the use of IT tools for the analysis of systems and signals, especially the MATLAB software.

Both parts (theory and laboratory) will be carefully evaluated, thus giving equal importance to the correctness and effectiveness of the solutions adopted in the phase of solving concrete problems, as well as to the understanding of the theoretical concepts relating to systems and signals.
Concerning the composition of the final grade, this will be given by the sum of the evaluations of the theory part (2/3) and of the laboratory part (1/3). The exam is considered passed if in each of the two parts a score greater than or equal to 18 is achieved. Each evaluation remains valid for the entire current academic year.

Criteria for the composition of the final grade

The final grade will be given by the sum of the evaluations of the theory part (2/3) and the laboratory part (1/3). The exam is considered passed if in each of the two parts a score greater than or equal to 18 is achieved. Each evaluation remains valid for the entire current academic year

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 A.A. 2021/2022 e A.A. 2022/2023 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 3 cfu complessivi, di tipologia D. Solo nel caso in cui la data di acquisizione della certificazione sia precedente al 27/10/2023 (data della delibera del Collegio didattico di Ingegneria dell'Informazione) potranno essere riconosciuti un massimo di 6 CFU, come precedentemente previsto. Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.

Per gli immatricolati A.A. 2023/2024 i crediti per certificazioni linguistiche ulteriori a quelle previste dal piano didattico vengono riconosciuti come crediti sovrannumerari taf D.

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 il VADEMECUM DELLE ATTIVITÀ DI TIROCINIO (indirizzo email della Commissione tirocini: tirocini-ismp@ateneo.univr.it ); qui la relativa pagina informativa (con link a moodle); qui informazioni su come attivarlo. 

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

 

List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: mathematics D Franco Zivcovich

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 soon also via the Univr app.

Attendance

The inter-university nature of the course of study lies in the cooperation of the three universities in the provision of faculty. Therefore, teaching delivery takes place at the administrative and teaching site in Verona and not in the partner universities. This means that it is not possible to attend this bachelor's degree program in the University of Trento or Modena-Reggio Emilia; however, it is possible to use the study spaces of the partner universities, thanks to the agreement between them.

As stated in the Didactic Regulations for A.Y. 2022/2023, course attendance is not mandatory.
Please refer to the constantly updated information of the Crisis Unit for teaching delivery methods.


Career management


Student login and resources


Erasmus+ and other experiences abroad


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_1: Sensors and Actuators for Applications in Micro-Robotics and Robotic Surgery Various topics
THESIS_2: Force Feedback and Haptics in the Da Vinci Robot: study, analysis, and future perspectives Various topics
THESIS_3: Cable-Driven Systems in the Da Vinci Robotic Tools: study, analysis and optimization Various topics