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
I sem. Oct 2, 2017 Jan 31, 2018
II sem. Mar 1, 2018 Jun 15, 2018
Exam sessions
Session From To
Sessione invernale d'esami Feb 1, 2018 Feb 28, 2018
Sessione estiva d'esame Jun 18, 2018 Jul 31, 2018
Sessione autunnale d'esame Sep 3, 2018 Sep 28, 2018
Degree sessions
Session From To
Sessione di laurea estiva Jul 23, 2018 Jul 23, 2018
Sessione di laurea autunnale Oct 17, 2018 Oct 17, 2018
Sessione di laurea invernale Mar 22, 2019 Mar 22, 2019
Holidays
Period From To
Christmas break Dec 22, 2017 Jan 7, 2018
Easter break Mar 30, 2018 Apr 3, 2018
Patron Saint Day May 21, 2018 May 21, 2018
VACANZE ESTIVE Aug 6, 2018 Aug 19, 2018

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 G M O R S Y

Agostiniani Virginia

virginia.agostiniani@univr.it +39 045 802 7979

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

Daldosso Nicola

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

Di Persio Luca

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

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

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

Rizzi Romeo

romeo.rizzi@univr.it +39 045 8027088

Sansonetto Nicola

nicola.sansonetto@univr.it 049-8027932

Schuster Peter Michael

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

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
6
B
MAT/05
Final exam
32
E
-

2° Year

ModulesCreditsTAFSSD
6
B
MAT/05
Final exam
32
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°To be chosen between
Between the years: 1°- 2°
Between the years: 1°- 2°
Other activitites
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

4S001438

Teacher

Ugo Solitro

Coordinatore

Ugo Solitro

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

I sem. dal Oct 2, 2017 al Jan 31, 2018.

Learning outcomes

The course aim is studying of the mathematical foundations of algorithms, programming languages and the role of programming paradigms in the computational methodologies for problem solving both in a didactic and applicative perspective.

At the end of the course the student shall have achieved

- familiarity with the fundamental principles of the different languages;
- confidence with the different programming styles;
- practical knowledge of at least two programming languages;
- ability to deal with any programming language or environment for the development of solutions;
- mastery in using the knowledge and skills acquired both in a educational and in an applicative context.

NOTE.
General information and bibliographical references are being updated.

Program

CONTENTS

The course covers the themes and activities described below.

Effective computational systems and algorithms: abstract machines, recursive and computable functions, rewriting systems; functional and object oriented models.
- Types and Logic.
- Constructive logics: propositional, first and second order systems; natural deduction.
- Type systems and functional languages: simple, first and second order systems; type inference.
- Curry-Howard Isomorphism.
- Programming paradigms: imperative, functional, logical and object oriented styles.
- Foundations of Object Oriented Programming Languages.
- Classes and Objects.
- Class and Object based languages.
- Classes and Types; sub-classes and sub-types; inheritance, polymorphism, static and dynamic binding.
- Parametric classes.
- ...
- Introduction to paradigmatic languages and
- in depth study of at least an object oriented language.
- Development of projects of mathematical, educational and applicative interest.

DIDACTIC METHODS

The teaching is divided according to two distinct modes.

- Presentation and study of the topics listed above.
- Development of activities and projects in relation to the topics covered.

In-depth and project activities (even practical) can emphasize educational, theoretical and/or applicative aspects according to the individual students' curriculum.

Reference texts
Author Title Publishing house Year ISBN Notes
Timothy Budd An Introduction to Object-Oriented Programming (Edizione 3) Addison-Wesley 2002 0201760312
Martín Abadi, Luca Cardelli A Theory of Objects Springer Verlag 1996 0387947752
O. Hazzan, T. Lapidot, N. Ragonis Guide to Teaching Computer Science (Edizione 2) Springer 2015 978-1-4471-6629-0
Jean-Yves Girard, Yves Lafont, Paul Taylor Proof and Types Cambridge University Press 1989 9780521371810
Guy Cousineau, Michel Mauny The functional approach to programming (Edizione 1) Cambridge University Press 1998 0-521-5768
H. Rogers Theory of recursive functions and effective computability MIT Press 1988

Examination Methods

The final exam consists of two parts: a written test and an oral exam.
The written test can include general questions, exercises.
The final oral exam is a discussion on the examination papers, the activity and the subject matter of the course.
The admission to the oral exam is subject to the approval of the written test.

The final written exam can be partially replaced by tasks completed during the term or the development of a project.

The candidate must demonstrate that he has achieved the following knowledge and skills.

- Understand the fundamental principles of programming languages and paradigms, and the mathematical foundations of programming languages;
- Being able to effectively use an object-oriented programming language, and discussing principles and specific problems, in particular, with reference to course content;
- Know how to use knowledge acquired in applications and / or in an educational context.

Bibliography

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

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

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!


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


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.

Career management


Area riservata studenti