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 1, 2014 Jan 30, 2015
II sem. Mar 2, 2015 Jun 12, 2015
Exam sessions
Session From To
Sessione straordinaria appelli d'esame Feb 2, 2015 Feb 27, 2015
Sessione estiva appelli d'esame Jun 15, 2015 Jul 31, 2015
Sessione autunnale appelli d'esame Sep 1, 2015 Sep 30, 2015
Degree sessions
Session From To
Sessione autunnale appello di laurea 2014 Nov 26, 2014 Nov 26, 2014
Sessione invernale appello di laurea 2015 Mar 18, 2015 Mar 18, 2015
Sessione estiva appello di laurea 2015 Jul 14, 2015 Jul 14, 2015
Sessione autunnale appello di laurea 2015 Nov 25, 2015 Nov 25, 2015
Sessione invernale appello di laurea 2016 Mar 16, 2016 Mar 16, 2016
Holidays
Period From To
Vacanze di Natale Dec 22, 2014 Jan 6, 2015
Vacanze di Pasqua Apr 2, 2015 Apr 7, 2015
Ricorrenza del Santo Patrono May 21, 2015 May 21, 2015
Vacanze estive Aug 10, 2015 Aug 16, 2015

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

B C D F G L M O P Q S U

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980
BertelleRoberto

Bertelle Roberto

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

Bonnici Vincenzo

symbol email vincenzo.bonnici@univr.it symbol phone-number +39 045 802 7045

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it

Carra Damiano

symbol email damiano.carra@univr.it symbol phone-number +39 045 802 7059

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +39 045 802 7985

Cristani Matteo

symbol email matteo.cristani@univr.it symbol phone-number +39 045 802 7983

Daffara Claudia

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

Di Pierro Alessandra

symbol email alessandra.dipierro@univr.it symbol phone-number +39 045 802 7971

Drago Nicola

symbol email nicola.drago@univr.it symbol phone-number 045 802 7081

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998

Giacobazzi Roberto

symbol email roberto.giacobazzi@univr.it symbol phone-number +39 045 802 7995

Gobbi Bruno

symbol email bruno.gobbi@univr.it

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number +39 045 802 7937

Lora Michele

symbol email michele.lora@univr.it symbol phone-number 0458027847

Marzola Pasquina

symbol email pasquina.marzola@univr.it symbol phone-number 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +39 045 802 7089

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Oliboni Barbara

symbol email barbara.oliboni@univr.it symbol phone-number +39 045 802 7077

Posenato Roberto

symbol email roberto.posenato@univr.it symbol phone-number +39 045 802 7967

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number +39 045 802 7997

Setti Francesco

symbol email francesco.setti@univr.it symbol phone-number +39 045 802 7804

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 802 7940
UgoliniSimone

Ugolini Simone

symbol email simone.ugolini@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.

2° Year  activated in the A.Y. 2015/2016

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti

3° Year  activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
Prova finale
6
E
-
activated in the A.Y. 2015/2016
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
Prova finale
6
E
-

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

4S00019

Credits

12

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

The teaching is organized as follows:

Teoria

Credits

8

Period

I semestre

Academic staff

Graziano Pravadelli

Laboratorio [Laboratorio 1]

Credits

4

Period

II semestre

Academic staff

Francesco Stefanni

Laboratorio [Laboratorio 2]

Credits

4

Period

II semestre

Academic staff

Nicola Drago

Learning outcomes

The course introduces to operating system design, with particular regards to concepts related to the architecture of an operating system, and to the management and synchronization of processes and resources.
At the end of the course, the students will be able to understand how an operating system works and they will know how to:
- develop or update components of an operating system;
- develop applications that use the functionality offered by the operating system.

Program

Theory:
-------
* Introduction: Evolution and role of the operating system. Architectural concepts. Organization and functionality of an operating system.

* Process Management: Processes. Process status. Context switch. Process creation and termination. Thread. User-level threads and kernel-level threads. Process cooperation and communication: shared memory, messagges. Direct and indirect communication.

* Scheduling: CPU and I/O burst model. Long term, short term and medium term scheduling. Preemption. Scheduling criteria. Scheduling algorithm: FCFS, SJF, priority-based, RR, HRRN, multiple queues with and without feedback. Algorithm evaluation: deterministic and probabilistic models, simulation.

* Process synchronization: data coherency, atomic operations. Critical sections. SW approaches for mutual exclusion: Peterson and Dekker's algorithms, baker's algorithm. HW for mutual exclusion: test and set, swap. Synchronization constructs: semaphores, mutex, monitor.

* Deadlock: Deadlock conditions. Resource allocation graph. Deadlock prevention. Deadlock avoidance. Banker's algorithm. Deadlock detection e recovery.

* Memory management: Main memory. Logical and physical addressing. Relocation, address binding. Swapping. Memory allocation. Internal and external fragmentation. Paging. HW for paging: TLB. Page table. Multi-level paging. Segmentation. Segment table. Segmentation with paging.

* Virtual memory: Paging on demand. Page fault management. Page substitution algorithms: FIFO, optimal, LRU, LRU approximations. Page buffering. Frame allocation: local and global allocation. Thrashing. Working set model. Page fault frequency.

* Secondary memory. Logical and physical structure of disks. Latency time. Disk scheduling algorithms: FCFS, SSTF, SCAN, C-SCAN, LOOK, C-LOOK. RAID.

*File System: file, attributes and related operation. File types. Sequential and direct access. Directory structure. Access permissions and modes. Consistency semantics. File system structure. File system mounting. Allocation techniques: adjacent, linked, indexed. Free space management: bit vector, lists. Directory implementation: linear list, hash table.

* I/O subsystem: I/O Hardware. I/O techniques: programmed I/O, interrupt, DMA. Device driver and application interface. I/O kernel services: scheduling, buffering, caching, spooling.


Laboratory:
------------
* Shell programming in Unix/Linux.
* Introduction to the system programming in Unix/Linux.
* System calls for I/O.
* System calls for process management.
* System calls and techniques for inter-process communication and synchronization (pipe, fifo, message queue, share memory, semaphores, ...).

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria A. Silberschatz, P.B. Galvin, G. Gagne Sistemi operativi. Concetti ed esempi. (Edizione 9) Pearson 2014 9788865183717

Examination Methods

The exam is composed of two parts: theory and laboratory.
To pass the exam, the student must show
- they have understood the principles related to how an operating system works
- they are able to describe the concepts in a clear and exhaustive way without digressions
- they are able to apply the acquired knowledge to solve application scenarios described by means of exercises, questions and projects.

Theory:
-------
The final exam consists of a written test containing questions and exercises.

Laboratory:
-----------
The exam can be taken in two modes: oral or written.

Oral mode:
During the course, students must solve 4 homeworks and provide the corresponding solutions within deadlines defined by the theacher. Then, at the end of the course, on the second half of June, each student must present orally the provided solutions to the theacher.
The exam can be taken in oral mode only on the first week of July.
The observance of deadlines is mandatory. Students that miss the deadline cannot take the exam in the oral mode.

Written mode:
The exam consists of solving some exercises related to system programming by means of shell scripts and/or C programs.

Total grade
-----------
The total grade (thery+laboratory) is given by:
theory_grade*0.5 + laboratory_grade*0.5.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Teaching materials e documents

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

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

List of thesis proposals

theses proposals Research area
Analisi e percezione dei segnali biometrici per l'interazione con robot AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Integrazione del simulatore del robot Nao con Oculus Rift AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
BS or MS theses in automated reasoning Computing Methodologies - ARTIFICIAL INTELLIGENCE
Domain Adaptation Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Domain Adaptation Computing methodologies - Machine learning
Dati geografici Information Systems - INFORMATION SYSTEMS APPLICATIONS
Analisi e percezione dei segnali biometrici per l'interazione con robot Robotics - Robotics
Integrazione del simulatore del robot Nao con Oculus Rift Robotics - Robotics
BS or MS theses in automated reasoning Theory of computation - Logic
BS or MS theses in automated reasoning Theory of computation - Semantics and reasoning
Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata Various topics
Proposte di Tesi/Stage/Progetto nell'ambito dell'analisi dei dati Various topics

Attendance modes and venues

As stated in the Teaching Regulations, attendance at the course of study is not mandatory.

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


Tutoring faculty members


Erasmus+ and other experiences abroad