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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I semestre | Oct 1, 2013 | Jan 31, 2014 |
| II semestre | Mar 3, 2014 | Jun 13, 2014 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria | Feb 3, 2014 | Feb 28, 2014 |
| Sessione estiva | Jun 16, 2014 | Jul 31, 2014 |
| Sessione autunnale | Sep 1, 2014 | Sep 30, 2014 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Oct 15, 2013 | Oct 15, 2013 |
| Sessione straordinaria | Dec 9, 2013 | Dec 9, 2013 |
| Sessione invernale | Mar 18, 2014 | Mar 18, 2014 |
| Sessione estiva | Jul 21, 2014 | Jul 21, 2014 |
| Period | From | To |
|---|---|---|
| Vacanze Natalizie | Dec 22, 2013 | Jan 6, 2014 |
| Vacanze di Pasqua | Apr 17, 2014 | Apr 22, 2014 |
| Festa del S. Patrono S. Zeno | May 21, 2014 | May 21, 2014 |
| Vacanze Estive | Aug 11, 2014 | Aug 15, 2014 |
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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Dos Santos Vitoria Jorge Nuno
jorge.vitoria@univr.it
Squassina Marco
marco.squassina@univr.it +39 045 802 7913
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.
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year
| Modules | Credits | TAF | SSD |
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3° Year
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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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.
Operations Research (2015/2016)
Teaching code
4S00001
Teacher
Coordinatore
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/09 - OPERATIONS RESEARCH
Period
II semestre dal Mar 1, 2016 al Jun 10, 2016.
Learning outcomes
This course aims to introduce the student to some basic models and to the main methodologies in the optimization field, with a particular attention to dynamic programming, combinatorial optimization, graphs, linear programming. Complexity theory is introduced and used as a tool advertising its methodological impact. The role of (integer) linear programming within the OR community is illustrated.
Program
Basic notions: models and algorithms, computational complexity, recursion and induction, invariants and monovariants, graphs, convex sets, polyhedra and cones.
Some of the models in Dynamic Programming: maximum increasing subsequence, maximum common subsequence, knapsack models.
Some of the models in graphs: Eulerian ed Hamiltonian paths and cycles, planar graphs and their duals, bipartite graphs, shortest paths, minimum spanning trees, max flow/min cut, maximum matching.
Linear programming: mathematical formulation of linear programming problems; equivalent forms, standard form; mathematical structure, geometry of linear programming, properties.
The simplex algorithm: vertices and basic solutions; optimality conditions; tableau method, auxiliary problem, two-phases method.
Duality theory: the fundamental duality theorem of linear programming, the dual simplex algorithm; economic interpretation; sensitivity analysis.
Integer linear programming: the cutting plane method; the branch and bound.
Network optimization: the minimum spanning tree problem, the shortest path problem, the maximum flow problem.
A more detailed program as intended, the day-by-day program of the last edition of the course, and the ongoing program of the current edition are available at the web-page of the course:
http://profs.sci.univr.it/~rrizzi/classes/RO/index.html
Examination Methods
Written final examination.
Past exams with answers can be found at the web-page of the course:
http://profs.sci.univr.it/~rrizzi/classes/RO/index.html
Type D and Type F activities
Modules not yet included
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.
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
Attachments
| Title | Info File |
|---|---|
1. Come scrivere una tesi
|
31 KB, 29/07/21 |
|
2. How to write a thesis
|
31 KB, 29/07/21 |
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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 |
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.
