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..

Academic year:
Definition of lesson periods
Period From To
I semestre Oct 1, 2020 Jan 29, 2021
II semestre Mar 1, 2021 Jun 11, 2021
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2021 Feb 26, 2021
Sessione estiva d'esame Jun 14, 2021 Jul 30, 2021
Sessione autunnale d'esame Sep 1, 2021 Sep 30, 2021
Degree sessions
Session From To
Sessione di laurea estiva Jul 22, 2021 Jul 22, 2021
Sessione di laurea autunnale Oct 14, 2021 Oct 14, 2021
Sessione di laurea autunnale - Dicembre Dec 9, 2021 Dec 9, 2021
Sessione invernale di laurea Mar 16, 2022 Mar 16, 2022
Holidays
Period From To
Festa dell'Immacolata Dec 8, 2020 Dec 8, 2020
Vacanze Natalizie Dec 24, 2020 Jan 3, 2021
Vacanze di Pasqua Apr 2, 2021 Apr 6, 2021
Festa del Santo Patrono May 21, 2021 May 21, 2021
Festa della Repubblica Jun 2, 2021 Jun 2, 2021
Vacanze Estive Aug 9, 2021 Aug 15, 2021

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 E F G L M N O P R S V 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 045 802 7911

Baldo Sisto

symbol email sisto.baldo@univr.it symbol phone-number 3470157539

Bos Leonard Peter

symbol email leonardpeter.bos@univr.it symbol phone-number +39 045 802 7987

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 8027979

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 8027979

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 0458027093

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 045 842 5450

Dipasquale Federico Luigi

symbol email federicoluigi.dipasquale@univr.it

Enrichi Francesco

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

Fioroni Tamara

symbol email tamara.fioroni@univr.it symbol phone-number 0458028489

Gnoatto Alessandro

symbol email alessandro.gnoatto@univr.it symbol phone-number 045 802 8537
Foto,  January 12, 2023

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 045 802 7937

Laking Rosanna Davison

symbol email rosanna.laking@univr.it

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 045-802(7814)

Mattiolo Davide

symbol email davide.mattiolo@univr.it

Mazzi Giulio

symbol email giulio.mazzi@univr.it

Mazzuoccolo Giuseppe

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

Nardon Chiara

symbol email chiara.nardon@univr.it

Orlandi Giandomenico

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

Pianezzi Daniela

symbol email daniela.pianezzi@univr.it

Raffaele Alice

symbol email alice.raffaele@univr.it

Rizzi Romeo

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

Segala Roberto

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

Solitro Ugo

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

Vincenzi Elia

symbol email elia.vincenzi@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 enrolment year.

CURRICULUM TIPO:
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
English language B1 level
6
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
6
C
SECS-P/05
Final exam
6
E
-

2° Year activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
English language B1 level
6
E
-

3° Year activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
6
C
SECS-P/05
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Between the years: 1°- 2°- 3°
Other activities
6
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

4S004793

Coordinatore

Leonard Peter Bos

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MAT/08 - NUMERICAL ANALYSIS

Period

Primo semestre dal Oct 4, 2021 al Jan 28, 2022.

Learning outcomes

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.

Program

The entire course will be available online. Moreover, the laboratory part of the course will also be in-class while the theory part will consist of videos made available on the course's Moodle website.

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.

Examination Methods

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 obtained during the winter or fall sessions will remain valid for that session while those obtained during the summer session will remain valid also for the fall session.
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.

Due to the present pandemic situation it may be that the exam rules will be adjusted to the situation at hand.


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

Type D and Type F activities

Le attività formative in ambito D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.

 

Academic year:
I semestre From 10/1/20 To 1/29/21
years Modules TAF Teacher
1° 2° History and Didactics of Geology D Guido Gonzato (Coordinatore)
1° 2° 3° Algorithms D Roberto Segala (Coordinatore)
1° 2° 3° Scientific knowledge and active learning strategies F Francesca Monti (Coordinatore)
1° 2° 3° Genetics D Massimo Delledonne (Coordinatore)
II semestre From 3/1/21 To 6/11/21
years Modules TAF Teacher
1° 2° 3° Algorithms D Roberto Segala (Coordinatore)
1° 2° 3° Python programming language D Vittoria Cozza (Coordinatore)
1° 2° 3° Organization Studies D Giuseppe Favretto (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: mathematics D Rossana Capuani
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° Introduzione all'analisi non standard F Sisto Baldo
1° 2° 3° C Programming Language D Pietro Sala (Coordinatore)
1° 2° 3° LaTeX Language D Enrico Gregorio (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: 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.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.


Graduation

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

Attachments

Title Info File
Doc_Univr_pdf 1. Come scrivere una tesi 31 KB, 29/07/21 
Doc_Univr_pdf 2. How to write a thesis 31 KB, 29/07/21 
Doc_Univr_pdf 5. Regolamento tesi (valido da luglio 2022) 171 KB, 17/02/22 

List of theses and work experience 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
Stage Research area
Internship proposals for students in mathematics Various topics

Erasmus+ and other experiences abroad


Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, 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.
Please refer to the Crisis Unit's latest updates for the mode of teaching.


Career management


Student login and resources