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.

A.A. 2020/2021

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
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 invernale 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 Pasquali Apr 2, 2021 Apr 5, 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 F G L M O R S

Albi Giacomo

giacomo.albi@univr.it +39 045 802 7913

Baldo Sisto

sisto.baldo@univr.it 045 802 7935

Bos Leonard Peter

leonardpeter.bos@univr.it +39 045 802 7987

Caliari Marco

marco.caliari@univr.it +39 045 802 7904

Castellini Alberto

alberto.castellini@univr.it +39 045 802 7908

Cubico Serena

serena.cubico@univr.it 045 802 8132

Dai Pra Paolo

paolo.daipra@univr.it +39 0458027093

Daldosso Nicola

nicola.daldosso@univr.it +39 045 8027076 - 7828 (laboratorio)

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Dipasquale Federico Luigi

federicoluigi.dipasquale@univr.it

Di Persio Luca

luca.dipersio@univr.it +39 045 802 7968

Favretto Giuseppe

giuseppe.favretto@univr.it +39 045 802 8749 - 8748

Gregorio Enrico

Enrico.Gregorio@univr.it 045 802 7937

Mantese Francesca

francesca.mantese@univr.it +39 045 802 7978

Marigonda Antonio

antonio.marigonda@univr.it +39 045 802 7809

Mattiolo Davide

davide.mattiolo@univr.it

Mazzuoccolo Giuseppe

giuseppe.mazzuoccolo@univr.it +39 0458027838

Monti Francesca

francesca.monti@univr.it 045 802 7910

Orlandi Giandomenico

giandomenico.orlandi at univr.it 045 802 7986

Rapa Alessandro

alessandro.rapa@univr.it

Rizzi Romeo

romeo.rizzi@univr.it +39 045 8027088

Rubio Y Degrassi Lleonard

lleonard.rubioydegrassi@univr.it

Sala Pietro

pietro.sala@univr.it 0458027850

Sansonetto Nicola

nicola.sansonetto@univr.it 049-8027932

Schiavi Simona

simona.schiavi@univr.it +39 045 802 7803

Schuster Peter Michael

peter.schuster@univr.it +39 045 802 7029

Segala Roberto

roberto.segala@univr.it 045 802 7997

Solitro Ugo

ugo.solitro@univr.it +39 045 802 7977

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:
ModulesCreditsTAFSSD
ModulesCreditsTAFSSD
6
B
(MAT/05)
Final exam
32
E
-

1° Year

ModulesCreditsTAFSSD

2° Year

ModulesCreditsTAFSSD
6
B
(MAT/05)
Final exam
32
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°1 module between the following
Between the years: 1°- 2°1 module between the following
Between the years: 1°- 2°
Between the years: 1°- 2°
Other activities
4
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S008838

Teacher

Romeo Rizzi

Coordinatore

Romeo Rizzi

Credits

6

Scientific Disciplinary Sector (SSD)

MAT/09 - OPERATIONS RESEARCH

Language

English en

Period

I semestre dal Oct 1, 2020 al Jan 29, 2021.

Learning outcomes

Mathematics for decisions is a seminar course comprising: + interventions by external professors (seminars, mini-courses); + interventions by professionals (statements of problems from the applications, description of needs and/or projects); + interventions by the referent of the course, collaborators of him, or colleagues by the department (both classes and proposal of problems and projects from the applications). + presentations delivered by the students on arguments of their interests and as agreed upon (seminars). The aim of this offert is to provide the studens with opportunities to meet and/or get involved into working or research projects, activating and developing their own interests, motivations and talents. Among the targets of this offert: + provide the students with opportunities to get in touch with working and/or research environments, developing motivations, interests, attitudes; + allow connections with professionalities and disciplines, not necessarily within mathematics but that can motivate the work of a matematician or help appreciating its possible applicability; + stimulate and develope the competence in designing mathematical models for the managing of production facilities, networks, and services; + provide the students with occasions to experiment their computational and informatics skills and to become more aware of their impact and role. With this the aim is to lead our students to: + have the competence and attitude to cover technical and professional roles with an high-level modellistic-math profile; + have the necessary starting background and the attitude to document themselves by accessing math texts, research articles, project deliverables, technical documentation.

Program

- Problems, Instances, Models
- Constraint Programming
- Abstract modeling programming languages - AMPL/GMPL:
- Recall the basics of Linear Programming (if needed)
- Some fact from Polyhedral Combinatorics
- Polytopes, polyhedra and equivalent representations
- Basic lemmas and characterizations
- Integrality of polyhedra
- Solution approaches to NP-hard problems:
- Enumeration
- Implicit enumeration and Branch-and-Bound
- Branch-and-Cut
- Approximation algorithms
- Complete and incomplete formulations (e.g., Traveling Salesman Problem, Perfect Matching)
- Gomory's cuts and cutting planes
- Separation oracles and callbacks
- Compact formulations
- Decomposition techniques:
- Column generation
- Dantzig-Wolfe decomposition
- Isomorphism free generation
- Agent Driven Simulation
- Simulation: its role and some of its techniques
- invitation all'agent driven simulation (ADS) and an introduction to the NetLogo environment

Projects will be proposed during the course, some already at the very beginning, some others from invited companies.
Depending on their interests, students are invited to choose (or even propose and tune together) projects from three categories: industrial, academic, didactics.

COLLECTING A FAIR BACKGROUND:

"Mathematics for decisions" is a 6 credits course that can be seen as a natural continuation of the course of "Operations Research" offered in the Bachelor’s degree in Mathematics, but it is also recommended to Computer Science students with interests in algorithms, mathematics, and optimization.

The prerequisites from the "Operations Research" course divide in two groups:

+ the methodology and the bones of concrete mathematics: invariants, good characterizations, induction, dynamic programming, algorithms, data structures, complexity. The CS students may get these with the course in Algorithms at the bachelor and then in the Algorithms and Complexity course in the first year of the master.

+ the fundamentals of Linear Programming: we encourage the CS students to collaborate in collecting this background. We are available in suggesting materials, and open at guesting them at the few lessons of pertinence in the Operations Research course. They will be welcome by their younger math colleagues.

Also, our approach in the Math Decisions course will be rather pragmatic, thus the theoretical knowledge will not be that necessary after all (though it is certainly a pity and a weakness not to have the whole picture).

Finally, we open the course with a mild introduction to polyhedra combinatorics which might offer a sufficient reference and at the same time is new stuff also for the students of mathematics.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Matteo Fischetti Introduction to Mathematical Optimization (Edizione 1) venduto da Amazon Media EU S.à r.l. 2019 1692792024 disponibile sia la versione cartacea che quella per e-Reader: https://www.amazon.it/Introduction-Mathematical-Optimization-Matteo-Fischetti/dp/1692792024
Robert J. Vanderbei Linear Programming: Foundations and Extensions (Edizione 4) Springer 2001 978-1-4614-7630-6
Robert Fourer, David M. Gay, and Brian W. Kernighan THE AMPL BOOK. AMPL: A Modeling Language for Mathematical Programming   0-534-38809-4

Examination Methods

The students are required to develop a project. This might either come from industry, from other research centers or universities, from colleagues or on research lines of interest by the department, or even from ourselves included the students themselves).
We also encourage projects that contribute to the rather technical material (TuringArena based) we strive resorting onto in offering active and interactive learning experiences to our students.
We will propose several projects on each one of these main lines, the students are also encouraged to propose and steer themselves according to their interests and competences.

Most projects comprise a development phase where the student must exhibit his/her technical and informatics skills in implementing the models and the algorithms developed or adopted to solve a given problem.

Depending on the project, other phases will be required as part of the exam or might naturally follow:
study of a topic or subject, study of a technique to employ in order to solve a problem or to be illustrated, experiments, deployment, documentation, design of a didactic problem, exposition, writing of paper, stages, thesis, internship.

Type D and Type F activities

I semestre From 10/1/20 To 1/29/21
years Modules TAF Teacher
1° 2° Algorithms D Roberto Segala (Coordinatore)
1° 2° Scientific knowledge and active learning strategies F Francesca Monti (Coordinatore)
1° 2° Genetics D Massimo Delledonne (Coordinatore)
1° 2° History and Didactics of Geology D Guido Gonzato (Coordinatore)
II semestre From 3/1/21 To 6/11/21
years Modules TAF Teacher
1° 2° Advanced topics in financial engineering F Luca Di Persio (Coordinatore)
1° 2° Algorithms D Roberto Segala (Coordinatore)
1° 2° Python programming language D Vittoria Cozza (Coordinatore)
1° 2° Organization Studies D Giuseppe Favretto (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° ECMI modelling week F Not yet assigned
1° 2° ESA Summer of code in space (SOCIS) F Not yet assigned
1° 2° Google summer of code (GSOC) F Not yet assigned
1° 2° Introduzione all'analisi non standard F Sisto Baldo
1° 2° C Programming Language D Pietro Sala (Coordinatore)
1° 2° LaTeX Language D Enrico Gregorio (Coordinatore)
1° 2° Mathematics mini courses F Marco Caliari (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.

Gestione carriere


Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, 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.

Graduation

Attachments

List of theses and work experience proposals

theses proposals Research area
Controllo di sistemi multiagente Calculus of variations and optimal control; optimization - Hamilton-Jacobi theories, including dynamic programming
Controllo di sistemi multiagente Calculus of variations and optimal control; optimization - Manifolds
Controllo di sistemi multiagente Calculus of variations and optimal control; optimization - Optimality conditions
Formule di rappresentazione per gradienti generalizzati Mathematics - Analysis
Formule di rappresentazione per gradienti generalizzati Mathematics - Mathematics
Mathematics Bachelor and Master thesis titles Various topics
Stage Research area
Internship proposals for students in mathematics Various topics

Alternative learning activities

In order to make the study path more flexible, it is possible to request the substitution of some modules with others of the same course of study in Mathematics at the University of Verona (if the educational objectives of the modules to be substituted have already been achieved in the previous career), or with others of the course of study in Mathematics at the University of Trento.

Attachments


Double degree

The University of Verona, through a network of agreements with foreign universities, offers international courses that enable students to gain a Double/Joint degree at the time of graduation. Indeed, students enrolled in a Double/Joint degree programme will be able to obtain both the degree of the University of Verona and the degree issued by the Partner University abroad - where they are expected to attend part of the programme -, in the time it normally takes to gain a common Master’s degree. The institutions concerned shall ensure that both degrees are recognised in the two countries.

Places on these programmes are limited, and admissions and any applicable grants are subject to applicants being selected in a specific Call for applications.

The latest Call for applications for Double/Joint Degrees at the University of Verona is available now!


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.