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 di laurea Jul 21, 2022 Jul 21, 2022
Sessione autunnale di laurea Oct 13, 2022 Oct 13, 2022
Sessione autunnale di laurea - dicembre Dec 7, 2022 Dec 7, 2022
Sessione invernale Mar 16, 2023 Mar 16, 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
VACANZE DI PASQUA Apr 15, 2022 Apr 19, 2022
FESTA DEL LAVORO May 1, 2022 May 1, 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

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

Albi Giacomo

symbol email giacomo.albi@univr.it symbol phone-number +39 045 802 7913

Angeleri Lidia

symbol email lidia.angeleri@univr.it symbol phone-number +39 045 802 7911

Baldo Sisto

symbol email sisto.baldo@univr.it symbol phone-number +39 045 802 7935

Bos Leonard Peter

symbol email leonardpeter.bos@univr.it

Caliari Marco

symbol email marco.caliari@univr.it symbol phone-number +39 045 802 7904

Canevari Giacomo

symbol email giacomo.canevari@univr.it symbol phone-number +39 045 802 7979

Chignola Roberto

symbol email roberto.chignola@univr.it symbol phone-number 045 802 7953

Collet Francesca

symbol email francesca.collet@univr.it symbol phone-number +39 045 802 7979

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +39 045 802 7985

Cubico Serena

symbol email serena.cubico@univr.it symbol phone-number 045 802 8132

Daffara Claudia

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

Dai Pra Paolo

symbol email paolo.daipra@univr.it symbol phone-number +39 045 802 7093

Daldosso Nicola

symbol email nicola.daldosso@univr.it symbol phone-number +39 045 8027076 - 7828 (laboratorio)

Delledonne Massimo

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

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 8028079

Enrichi Francesco

symbol email francesco.enrichi@univr.it symbol phone-number +390458027051

Fummi Franco

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

Gnoatto Alessandro

symbol email alessandro.gnoatto@univr.it symbol phone-number 045 802 8537

Gonzato Guido

symbol email guido.gonzato@univr.it symbol phone-number 045 802 8303

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number +39 045 802 7937

Laking Rosanna Davison

symbol email rosanna.laking@univr.it symbol phone-number +39 045 802 7838

Lubian Diego

symbol email diego.lubian@univr.it symbol phone-number 045 802 8419

Mantese Francesca

symbol email francesca.mantese@univr.it symbol phone-number +39 045 802 7978

Mantovani Matteo

symbol email matteo.mantovani@univr.it symbol phone-number +39 045 802 7814

Mariutti Gianpaolo

symbol email gianpaolo.mariutti@univr.it symbol phone-number +390458028241

Mazzuoccolo Giuseppe

symbol email giuseppe.mazzuoccolo@univr.it symbol phone-number +39 0458027838

Menegaz Gloria

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

Nardon Chiara

symbol email chiara.nardon@univr.it

Orlandi Giandomenico

symbol email giandomenico.orlandi at univr.it symbol phone-number +39 045 802 7986

Pianezzi Daniela

symbol email daniela.pianezzi@univr.it

Pravadelli Graziano

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

Rizzi Romeo

symbol email romeo.rizzi@univr.it symbol phone-number +39 045 802 7088

Schuster Peter Michael

symbol email peter.schuster@univr.it symbol phone-number +39 045 802 7029

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number +39 045 802 7997

Solitro Ugo

symbol email ugo.solitro@univr.it symbol phone-number +39 045 802 7977

Tomazzoli Claudio

symbol email claudio.tomazzoli@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   activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
E
L-LIN/12

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

ModulesCreditsTAFSSD
6
C
SECS-P/05
Final exam
6
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
E
L-LIN/12
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
6
C
SECS-P/05
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Further activities
6
F
-
Between the years: 1°- 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

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

 

Documents and news

Primo semestre From 10/4/21 To 1/28/22
years Modules TAF Teacher
1° 2° 3° Algorithms D Roberto Segala (Coordinator)
1° 2° 3° Basis of general chemistry D Chiara Nardon
1° 2° 3° Genetics D Massimo Delledonne (Coordinator)
Secondo semestre From 3/7/22 To 6/10/22
years Modules TAF Teacher
1° 2° 3° Algorithms D Roberto Segala (Coordinator)
1° 2° 3° LaTeX Language D Enrico Gregorio (Coordinator)
1° 2° 3° Organization Studies D Serena Cubico (Coordinator)
1° 2° 3° History and Didactics of Geology D Guido Gonzato (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: mathematics D Franco Zivcovich
1° 2° 3° ECMI modelling week F Not yet assigned
1° 2° 3° ESA Summer of code in space (SOCIS) F Not yet assigned
1° 2° 3° Google summer of code (GSOC) F Not yet assigned
1° 2° 3° Python programming language D Giulio Mazzi (Coordinator)

Teaching code

4S004793

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/08 - NUMERICAL ANALYSIS

Period

Semester 1 dal Oct 3, 2022 al Jan 27, 2023.

Learning objectives

The course will discuss, from both the analytic and computational points of view, the numerical solution of Mathematical problems such as: non linear systems, linear systems, matrix eigenvalues, interpolation and approximation, Gaussian quadrature. The objective therefore is to expand on the material introduced in Calcolo Numerico I and to introduce new and more sophisticated solution algorithms. In particular, we will present techniques that are fundamental for important modern problems of Applied Mathematics such as that of high dimensional datasets (SVD and PCoA) and optimization (conjugate gradient method). The course has a Laboratory component where the methods studied will be implemented using the MATLAB programming platform (using either the official Matlab from Mathworks or else the open source version GNU OCTAVE). At the end of the course the student will be expected to demonstrate that s/he has attained a level of competence in the computational and computer aspects of the course subject, as well as the ability to recognize which algorithms are appropriate for basic and advanced problems of numerical analysis.

Prerequisites and basic notions

Linear algebra, differential calculus in one and more variables, integral calculus, basic methods of numerical analysis.

Program

The course will discuss the following topics:
* Methods for finding zeros of (systems of) functions (fixed point iterations)
* Methods for linear systems (classical iterative methods, conjugate gradient, QR factorization, SVD factorization, overdetermined systems)
* Methods for finding eigenvalues and eigenvectors (the Power method, the QR iteration)
* Spline and Bezier curve interpolation
* Gaussian quadrature
* Introduction to preconditioning and iterative methods for non symmetric systems (GMRES)
* Introduction to numerical optimization
It is expected that there will be a tutor to help with the correction of assigned exercises and with the Laboratory sessions.

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 teaching will be delivered in 52 classroom hours, of which about 12 in the computer lab.

The rights of students will be preserved in situations of travel limitation or confinement due to national provisions to combat COVID or in particular situations of fragile health. In these cases, you are invited to contact the teacher directly to organize the most appropriate remedial strategies

Learning assessment procedures

The purpose of the exam is to see if the student is able to recall and produce the theory of the Numerical Analysis presented during the lectures and Laboratory and knows how to use Computer resources for possible further investigation. Moreover, the student must show that s/he knows how to program in the specific software introduced during the course. The exam will consist of two parts. The first part will be held in a Laboratory where the student will be given two hours to individually implement the numerical methods necessary for the solution of the assigned questions. The questions will be based on the entire course material. A pass will be given for a mark of 18/30 or higher. To be admitted to the second part of the exam, the oral, it is required to have first passed the written part. Marks for the written part will remain valid until, and not after, the beginning of the following semester. The oral exam will be based on the topics discussed during the classroom lectures. The final course mark will be the weighted average of the marks for the two parts of the exam, with weight 1/4 for the written part and 3/4 for oral.

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, students must demonstrate: * knowing and understanding the fundamental iterative methods of the numerical resolution of linear systems * knowing and understanding the fundamental methods of numerical resolution of non-linear systems * knowing and understanding the fundamental methods of 'piecewise numerical approximation * knowing and understanding the fundamental methods of the Gaussian quadrature * having an adequate capacity for analysis and synthesis and abstraction * knowing how to apply this knowledge to solve problems and exercises, knowing how to argue one's reasoning with mathematical rigor.

Criteria for the composition of the final grade

The final mark will be the weighted average: 3/4 times the Oral mark plus 1/4 times the Laboratory mark.

Exam language

Italiano

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.

Graduation

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

Documents

Title Info File
File pdf 1. Come scrivere una tesi pdf, it, 31 KB, 29/07/21
File pdf 2. How to write a thesis pdf, it, 31 KB, 29/07/21
File pdf 5. Regolamento tesi pdf, it, 171 KB, 20/03/24

List of thesis proposals

theses proposals Research area
Formule di rappresentazione per gradienti generalizzati Mathematics - Analysis
Formule di rappresentazione per gradienti generalizzati Mathematics - Mathematics
Proposte Tesi A. Gnoatto Various topics
Mathematics Bachelor and Master thesis titles Various topics

Attendance modes and venues

As stated in the Teaching Regulations , except for specific practical or lab activities, attendance is not mandatory. Regarding these activities, please see the web page of each module for information on the number of hours that must be attended on-site.

Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.

The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus. 
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.


Career management


Student login and resources


Erasmus+ and other experiences abroad


Ongoing orientation for students

The committee has the task of guiding the students throughout their studies, guiding them in their choice of educational pathways, making them active participants in the educational process and helping to overcome any individual difficulties.

It is composed of professors Lidia Angeleri, Sisto Baldo, Marco Caliari, Paolo dai Pra, Francesca Mantese, and Nicola Sansonetto 

To send an email to professors: name.surname@univr.it