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 3, 2016 Jan 31, 2017
II sem. Mar 1, 2017 Jun 9, 2017
Exam sessions
Session From To
Sessione invernale Appelli d'esame Feb 1, 2017 Feb 28, 2017
Sessione estiva Appelli d'esame Jun 12, 2017 Jul 31, 2017
Sessione autunnale Appelli d'esame Sep 1, 2017 Sep 29, 2017
Degree sessions
Session From To
Sessione estiva Appelli di Laurea Jul 20, 2017 Jul 20, 2017
Sessione autunnale Appelli di laurea Nov 23, 2017 Nov 23, 2017
Sessione invernale Appelli di laurea Mar 22, 2018 Mar 22, 2018
Holidays
Period From To
Festa di Ognissanti Nov 1, 2016 Nov 1, 2016
Festa dell'Immacolata Concezione Dec 8, 2016 Dec 8, 2016
Vacanze di Natale Dec 23, 2016 Jan 8, 2017
Vacanze di Pasqua Apr 14, 2017 Apr 18, 2017
Anniversario della Liberazione Apr 25, 2017 Apr 25, 2017
Festa del Lavoro May 1, 2017 May 1, 2017
Festa della Repubblica Jun 2, 2017 Jun 2, 2017
Vacanze estive Aug 8, 2017 Aug 20, 2017

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 Enrollment FAQs

Academic staff

A B C D G L M O R S Z
AlbertiniFrancesca

Albertini Francesca

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 0458027935

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

Chignola Roberto

symbol email roberto.chignola@univr.it symbol phone-number 045 802 7953

Cicognani Simona

symbol email simona.cicognani@univr.it symbol phone-number 0458028099
Foto,  March 10, 2017

Cordoni Francesco Giuseppe

symbol email francescogiuseppe.cordoni@univr.it

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

Daldosso Nicola

symbol email nicola.daldosso@univr.it symbol phone-number +39 045 8027076 - 7828 (laboratorio)

De Sinopoli Francesco

symbol email francesco.desinopoli@univr.it symbol phone-number 045 842 5450

Di Persio Luca

symbol email luca.dipersio@univr.it symbol phone-number +39 045 802 7968

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937

Lo Bue Maria Carmela

symbol email mariacarmela.lobue@univr.it symbol phone-number +39 0458028768

Malachini Luigi

symbol email luigi.malachini@univr.it symbol phone-number 045 8054933

Marigonda Antonio

symbol email antonio.marigonda@univr.it symbol phone-number +39 045 802 7809

Mariotto Gino

symbol email gino.mariotto@univr.it

Mariutti Gianpaolo

symbol email gianpaolo.mariutti@univr.it symbol phone-number +390458028241
Foto,  October 5, 2015

Mazzuoccolo Giuseppe

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

Orlandi Giandomenico

symbol email giandomenico.orlandi at univr.it symbol phone-number 045 802 7986
Foto,  September 29, 2016

Rinaldi Davide

symbol email davide.rinaldi@univr.it

Rizzi Romeo

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

Schuster Peter Michael

symbol email peter.schuster@univr.it symbol phone-number +39 045 802 7029

Solitro Ugo

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

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 enrollment year.

CURRICULUM TIPO:

2° Year   activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
B
MAT/06

3° Year   activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
6
C
SECS-P/05
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
6
A
MAT/02
6
B
MAT/03
6
C
SECS-P/01
6
C
SECS-P/01
6
B
MAT/06
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
6
C
SECS-P/05
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°
Between the years: 1°- 2°- 3°
Altre attività formative
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

4S02751

Teacher

Ugo Solitro

Coordinator

Ugo Solitro

Credits

12

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II sem., I sem.

Learning outcomes

(updating)

This course proposes providing the fundamentals skills in order to analyze and resolve problems by means of developing programs.
The general objectives of this module are
- the knowledge of the principles of programming and of programming languages,
- the mastery of fundamental techniques for analyzing problems and developing their algorithmic solutions,
- the introduction to the methods for the evaluation of correctness and efficiency of algorithms.

In the laboratory, we will practice the above principles by means of a programming activity.

Program

# Contents
(concise version, updating)

## Introduction.

- Problems and Solutions.
- Models of Computations:
- abstract machine, compiler and interpreter.
- Programming languages: formal languages, compiler, interpreter.
- Laboratory: introduction to linux and to the developing environment.

## Part I - problems, algorithms and programs.

- Imperative programming
- Elementary of programming:
- basic instructions and development of simple programs;
- variables, expressions and assignment.
- Data types. The general concept of data type: characterisation and data representation. Abstract Data Types.
- Primitive data types: characterisation, use and related problems.
- Structured data types: array, record, file, pointer, string and other data structures.
- Program structure.
- Fundamental instructions.
- Sub-programs: structure, parameters and visibility.
- Recursion.
- Object Oriented Programming.
- Basics of objects: classes, objects, attributes, constructors, modifiers.
- Advanced data structures:
- Representation of sequences, vector and matrices.
- Inductive and dynamic data structures.
- Introduction to lists, trees and graphs.

## Part II - Analysis of Algorithms

- Correctness: termination, logic properties; methods for the correctness verification.
- Efficiency of algorithms.
- Introduction to the complexity. Performance of algorithms. Evaluation of efficiency. Computational costs.
- Asymptotic estimation of the complexity in time and space. The worst and medium case.
- Amortised analysis.
- Study of fundamental examples.
- Sequences: static and dynamic implementation and algorithms.
- Research and Sorting Algorithms: basic search, binary search, insertion and selection sort, merge sort, quick sort.
- Matrices and Vectors: implementation, operations and algorithms.
- Dynamic sequences: abstract definition and implementation; basic operations.
- Trees. Abstract definition and implementation. Basic operation. Binary research trees.
- Introduction to algorithms on graphs.

## Laboratory.

In the laboratory, we familiarize with the programming language developing projects based on the ideas presented in the lessons.
We study the fundamental elements of the language and we deal with the problems that arise in the development of the solution; in particular we acquire skill in editing, compiling, debugging and basic project management.

# Didactic method

(concise version)

The subjects will be presented, when possible, according to the following schema.

- Introduction to the subject.
- Analysis of the problem related.
- In-depth study of the subject through the development of exercises, even practical, with the support of the teacher and tutors, if available.
- Correction of some exercises.
- Final discussion on the activities.

Reference texts
Author Title Publishing house Year ISBN Notes
Bertossi, Alan e Montresor, Alberto Algoritmi e strutture di dati (Edizione 3) Città Studi Edizioni, De Agostini Scuola 2014 978-8-825-17395-6 Testo di riferimento per gli Algoritmi e le Strutture Dati
Walter Savitch Programmazione con Java (seconda edizione) (Edizione 2) Pearson 2013 9788871929613 Testo di riferimento per il linguaggio Java

Examination Methods

# Exam structure

The final exam is on all the contents of the course.

It is structured in three parts:

- a written test (wight 0.5),
- a practical activity (weight 0.2),
- an oral examination (weight 0.3).

The final grade is obtained evaluating the weighted average of the three parts.

## Written test

The written test is about the fundamentals of programming and algorithms and includes

- general questions
- exercises

Through the exercises the students have to show to be competent in ...

- analysing and characterise a problem described in natural language,
- developing a solution and implement it,
- analyse the correctness and efficiency of a concrete solution.

The written part can be substituted by the tests that can take place also during the teaching periods.

## Practical actives

The practical part consist in the discussion of the laboratory activities and in the presentation of a project.

## Oral examination

The final oral part is a discussion on the examination papers, the practical activity carried out during the practical activities and the subject matter of the course.

## Evaluation parameters

During the evaluation of answers the teacher will consider in particular the relevance, the correctness, the clearness, the rigour, and the conciseness.

More the participation to the ongoing activities will be positively evaluated.

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

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 soon also via the Univr app.

Graduation

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

Documents

Title Info File
File pdf 1. Come scrivere una tesi pdf, it, 31 KB, 29/07/21
File pdf 2. How to write a thesis pdf, it, 31 KB, 29/07/21
File pdf 5. Regolamento tesi pdf, it, 171 KB, 20/03/24

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
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
Stage Research area
Internship proposals for students in mathematics Various topics

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.
 


Career management


Student login and resources


Erasmus+ and other experiences abroad


Commissione tutor

La commissione ha il compito di guidare le studentesse e gli studenti durante l'intero percorso di studi, di orientarli nella scelta dei percorsi formativi, di renderli attivamente partecipi del processo formativo e di contribuire al superamento di eventuali difficoltà individuali.

E' composta dai proff. Sisto Baldo, Marco Caliari, Francesca Mantese, Giandomenico Orlandi e Nicola Sansonetto