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
Semester 1 Oct 2, 2023 Jan 26, 2024
Semester 2 Mar 4, 2024 Jun 14, 2024
Exam sessions
Session From To
Winter exam session Jan 29, 2024 Mar 1, 2024
Summer exam session Jun 17, 2024 Jul 31, 2024
Autumn exam session Sep 2, 2024 Sep 30, 2024
Degree sessions
Session From To
Summer graduation session Jul 23, 2024 Jul 23, 2024
Autumn graduation session Oct 23, 2024 Oct 23, 2024
December graduation session Dec 12, 2024 Dec 12, 2024
Winter graduation session Mar 20, 2025 Mar 20, 2025
Holidays
Period From To
Festa di Ognissanti Nov 1, 2023 Nov 1, 2023
Festa dell'Immacolata Dec 8, 2023 Dec 8, 2023
Vacanze di Natale Dec 24, 2023 Jan 7, 2024
Festività pasquali Mar 29, 2024 Apr 1, 2024
Ponte della Festa della Liberazione Apr 25, 2024 Apr 26, 2024
Festa del Lavoro May 1, 2024 May 1, 2024
Festività del Santo Patrono: San Zeno May 21, 2024 May 21, 2024
Festa della Repubblica Jun 2, 2024 Jun 2, 2024
Vacanze estive Aug 12, 2024 Aug 17, 2024

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

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

Antelmi Elena

symbol email elena.antelmi@univr.it

Barbieri Anna

symbol email anna.barbieri@univr.it

Benfari Giovanni

symbol email masterecocardio@ateneo.univr.it

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

Bortolan Lorenzo

symbol email lorenzo.bortolan@univr.it symbol phone-number +39 0464 483 510

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Boscolo Galazzo Ilaria

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

Buffelli Mario Rosario

symbol email mario.buffelli@univr.it symbol phone-number +39 0458027268

Calanca Andrea

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

Cazzoletti Lucia

symbol email lucia.cazzoletti@univr.it symbol phone-number 045 8027656

Chiurco Carlo

symbol email carlo.chiurco@univr.it symbol phone-number +390458028159

Combi Carlo

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

Cristani Marco

symbol email marco.cristani@univr.it symbol phone-number +39 045 802 7841

Daffara Claudia

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

Dalla Preda Mila

symbol email mila.dallapreda@univr.it

Di Marco Roberto

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

Fummi Franco

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

Fusco Salvatore

symbol email salvatore.fusco@univr.it symbol phone-number Office: +39 045 802 7954 Lab: +39 045 802 7086

Galie' Mirco

symbol email mirco.galie@univr.it symbol phone-number +39.045.8027681

Giacopuzzi Simone

symbol email simone.giacopuzzi@univr.it symbol phone-number +39 045 812 7510

Ginesi Michele

symbol email michele.ginesi@univr.it

Gregorio Enrico

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

Lovato Pietro

symbol email pietro.lovato@univr.it symbol phone-number +39 045 802 7035

Marzola Pasquina

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

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

Muradore Riccardo

symbol email riccardo.muradore@univr.it symbol phone-number +39 045 802 7835

Muscolo Giovanni Gerardo

symbol email giovannigerardo.muscolo@univr.it

Nollo Giandomenico

symbol email giandomenico.nollo@unitn.it

Oliboni Barbara

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

Perlini Cinzia

symbol email cinzia.perlini@univr.it symbol phone-number +39 0458124038

Piccinelli Fabio

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

Pizzini Francesca Benedetta

symbol email francescabenedetta.pizzini@univr.it symbol phone-number 00390458124301

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

Roberti Andrea

symbol email andrea.roberti@univr.it

Romeo Alessandro

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

Ruzzenente Andrea

symbol email andrea.ruzzenente@univr.it symbol phone-number +39 045 812 4464

Sala Pietro

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

Samaila Elena Manuela

symbol email elenamanuela.samaila@univr.it symbol phone-number 045 8127690

Sansonetto Nicola

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

Selmi Luca

symbol email luca.selmi@unimore.it

Storti Silvia Francesca

symbol email silviafrancesca.storti@univr.it symbol phone-number +39 045 802 7850

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it

Yengui Ihsen

symbol email ihsen.yengui@univr.it

Zivcovich Franco

symbol email franco.zivcovich@univr.it

Zuccher Simone

symbol email simone.zuccher@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:

2° Year   It will be activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
6
C
ING-IND/22
Medical system seminars (2nd year)
1
F
-
It will be activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
6
C
ING-IND/22
Medical system seminars (2nd year)
1
F
-
Modules Credits TAF SSD
Between the years: 2°- 3°

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

4S009864

Coordinator

Mauro Bonafini

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/05 - MATHEMATICAL ANALYSIS

Period

Semester 1 dal Oct 2, 2023 al Jan 26, 2024.

Courses Single

Authorized

Learning objectives

The course will treat the fundamental concepts of mathematical analysis: the aim is to provide a bet- ter consciousness of the analytic methods in view of applications of analysis. At the end of the course, the students shall prove of being able: to apply mathematical analysis techniques to the solution of problems about functions, derivatives, integrals and series also in different contexts even not strictly mathematical; to apply mathematical analysis techniques to solution of problems; to choose among the various techniques the one better suited to the problem at hand; to describe the solution of a problem employing correct terminology; to widen their knowledge starting from what they learned.

Prerequisites and basic notions

Basic knowledge required for enrollment in the course of study.

Program

Introduction.
Intuitive notion of set, notions of logic, elementary set operations, numerical sets, lower and upper bound, infimum and supremum, minimum and maximum, continuity axiom for real numbers, complex numbers. Definition of a function, injective function, surjective function, function composition and inverse function.
Sequences.
Definition of a sequence, monotone sequences, bounded sequences, definition of limit for a sequence, uniqueness of the limit, algebra of limits, comparisons and asymptotic estimates. Indeterminate forms and calculation of limits.
Real functions of a real variable.
Bounded functions, maximum and minimum, periodic functions, monotone functions. Graph of a function, elementary operations on the graph.
Continuity.
Notion of continuity for a real valued function of a real variable. Continuous functions on a closed and bounded interval: existence of zeros, Weierstrass' theorem, intermediate values theorem.
Limits.
Accumulation points, limits for real valued functions of a real variable, algebra of limits. Simple limits, comparisons, asymptotic estimates, change of variable within limits and calculation of limits.
Derivative.
Definition of derivative of a real valued function of a real variable, tangent line. Calculus of derivatives for elementary functions, algebra of derivatives, derivative of the composition, derivative of the inverse function. Angular points, cusps, inflections with vertical tangents, continuity and derivability. Stationary points, local maximums and minimums. Differentiable functions on an interval: Fermat's theorem, Lagrange's (or mean value) theorem, monotony test. De l'Hospital's theorem. Second derivative: geometric meaning, concavity, convexity. Study of the graph of a function. Approximations: notion of ``small o'', MacLaurin / Taylor polynomial, MacLaurin-Taylor formula with Peano and Lagrange remainder. Application to the calculation of limits by asymptotic expansion.
Series.
Numerical series and convergence criteria (comparison, asymptotic comparison, ratio and root criteria, Leibniz criterion). Taylor series.
Integral calculus.
Definition of integral and various interpretations, classes of integrable functions, properties of the integral, mean-value theorem. Notion of primitive and fundamental theorem of integral calculus. Methods for finding a primitive: immediate integrals, integrals by substitution, integrals by parts, integrals of rational functions. Integral functions and second fundamental theorem of integral calculus. Applications of integral calculus. Generalized integrals: integrals of unbounded functions and integrability criteria; integration over unlimited intervals and integrability criteria.
Differential equations.
Concept of differential equation and its solution. First order differential equations with separable variables, how to solve them, existence and uniqueness theorem for the Cauchy problem. Linear differential equations of the first and second order: existence of solutions, structure of the general integral, how to solve them.

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

Lecture.

Learning assessment procedures

The exam consists of a multiple-choice quiz followed by a 3-hour written test.
Quiz.
The quiz lasts 30 minutes and consists of 10 multiple choice questions. All candidates who obtain at least 6/10 are admitted to the written test, the others are rejected. The result of the quiz does not affect the final grade.
Written test.
The written test lasts 3 hours and is made up of exercises and open theory questions.
Oral exam.
All candidates who have passed the written test have access to an optional oral exam. The oral is focused on theory and allows you to increase/decrease the grade of the written without limits. The oral exam is a necessary condition for praise.

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

Understanding of the topics covered during the course and ability to apply the notions acquired in solving exercises and constructing new sentences.

Criteria for the composition of the final grade

Mark of the written exam (plus an optional oral if requested).

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.

A partire dagli immatricolati A.A. 2022/2023 sarà possibile inserire autonomamente a libretto gli esami residuali offerti sia nel 2° sia nel 3° anno.

Per i seguenti insegnamenti non è necessaria la richiesta alla Commissione Pratiche Studenti: Basi di dati e web (Laurea in Bioinformatica); Biologia generale (Laurea in Bioinformatica); Biologia molecolare (Laurea in Bioinformatica); Probabilita' e statistica (Laurea in Informatica); Programmazione e sicurezza delle reti (Laurea in Informatica).

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. CONTAMINATION LAB

Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/clabverona

ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

5. 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

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.

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.
 


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 thesis 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