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, 2012 | Jan 31, 2013 |
| II semestre | Mar 4, 2013 | Jun 14, 2013 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria | Feb 4, 2013 | Feb 28, 2013 |
| Sessione estiva | Jun 17, 2013 | Jul 31, 2013 |
| Sessione autunnale | Sep 2, 2013 | Sep 30, 2013 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Oct 16, 2012 | Oct 16, 2012 |
| Sessione straordinaria | Dec 10, 2012 | Dec 10, 2012 |
| Sessione invernale | Mar 19, 2013 | Mar 19, 2013 |
| Sessione estiva | Jul 22, 2013 | Jul 22, 2013 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2012 | Nov 1, 2012 |
| Festa dell'Immacolata Concezione | Dec 8, 2012 | Dec 8, 2012 |
| Vacanze di Natale | Dec 21, 2012 | Jan 6, 2013 |
| Vacanze di Pasqua | Mar 29, 2013 | Apr 2, 2013 |
| Festa della Liberazione | Apr 25, 2013 | Apr 25, 2013 |
| Festa del Lavoro | May 1, 2013 | May 1, 2013 |
| Festa del Santo Patrono di Verona - San Zeno | May 21, 2013 | May 21, 2013 |
| Festa della Repubblica | Jun 2, 2013 | Jun 2, 2013 |
| Vacanze estive | Aug 9, 2013 | Aug 16, 2013 |
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 Enrollment FAQs
Academic staff
alberto.benvegnu@univr.it
alejando.cuneo@univr.it
elena.gaburro@univr.it
valeria.maggian@unimib.it
gino.mariotto@univr.it
Residori Stefania
stefania.residori@univr.it
Squassina Marco
marco.squassina@univr.it
+39 045 802 7913
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.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2013/2014
| Modules | Credits | TAF | SSD |
|---|
One course chosen from the following two3° Year activated in the A.Y. 2014/2015
| Modules | Credits | TAF | SSD |
|---|
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
One course chosen from the following two| Modules | Credits | TAF | SSD |
|---|
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three| Modules | Credits | TAF | SSD |
|---|
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 (2014/2015)
Teaching code
4S00001
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Period
II sem. dal Mar 2, 2015 al Jun 12, 2015.
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 and 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: 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
Documents
| Title | Info File |
|---|---|
1. Come scrivere una tesi
|
pdf, it, 31 KB, 29/07/21 |
|
2. How to write a thesis
|
pdf, it, 31 KB, 29/07/21 |
|
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 |
| 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 |
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
