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..

Academic year:
Definition of lesson periods
Period From To
1° Q - 2° anno e successivi Sep 29, 2003 Nov 28, 2003
2° Q Jan 12, 2004 Mar 12, 2004
3° Q Apr 5, 2004 Jun 11, 2004
Degree sessions
Session From To
Extra term Dec 17, 2003 Dec 17, 2003
Winter term Mar 17, 2004 Mar 17, 2004
Summer term Jul 22, 2004 Jul 22, 2004
Autumn term Sep 22, 2004 Sep 22, 2004
Period From To
All Saint's Day Nov 1, 2003 Nov 1, 2003
Christmas holidays Dec 22, 2003 Jan 6, 2004
Easter holidays Apr 8, 2004 Apr 13, 2004
Patron Saint's day festivity Apr 12, 2004 Apr 12, 2004
Labour Day May 1, 2004 May 1, 2004
Italian Republic Day festivity Jun 2, 2004 Jun 2, 2004
Summer holidays Jul 26, 2004 Aug 31, 2004

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


Acquaviva Andrea +39 045 802 7059

Bonacina Maria Paola +39 045 802 7046

Combi Carlo 045 802 7985

Cristani Matteo 045 802 7983

Ferro Ruggero 045 802 7909

Fummi Franco 045 802 7994

Giacobazzi Roberto +39 045 802 7995

Masini Andrea 045 802 7922

Mastroeni Isabella +39 045 802 7089

Merro Massimo 045 802 7992

Monti Francesca 045 802 7910

Morato Laura Maria 045 802 7904

Orlandi Giandomenico

giandomenico.orlandi at 045 802 7986

Posenato Roberto +39 045 802 7967

Pravadelli Graziano +39 045 802 7081

Segala Roberto 045 802 7997

Spoto Nicola Fausto +39 045 8027940

Villa Tiziano +39 045 802 7034

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.

3 related courses (mathematical and physical sectors) to be chosen, for a total of 15 credits (Logic II is not running in the academic year 2003/2004)
Computer science workshop
Other educational activities (work experience, etc....)
Final test

1° Year


2° Year


3° Year


4° Year

3 related courses (mathematical and physical sectors) to be chosen, for a total of 15 credits (Logic II is not running in the academic year 2003/2004)

5° Year

Computer science workshop
Other educational activities (work experience, etc....)
Final test
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.

S Placements in companies, public or private institutions and professional associations

Teaching code






Scientific Disciplinary Sector (SSD)



2nd quadrimester dal Jan 8, 2007 al Mar 9, 2007.



Learning outcomes

Course objective is to present fundaments of Information Theory and its applications to communication theory and computer science such as compression, security, complexity. Error correcting codes and advanced coding techniques will be also covered, such as trellises and graph codes.


1. Introduction
1.1. Entropy, relative entropy, mutual information
1.2. Asymptotic equipartition property
1.3. Entropy rates of a stochastic process

2. Data compression
2.1 Block, symbol, stream codes, codes for integers
2.2 Huffman, LZ, arithmetic coding, Shannon-Fano codes

3. Shannon coding theory
3.1. Kraft inequality, Shannon's source coding theorem
3.2. Channel capacity (jointly typical sequences, Fano's inequality, Shannon's channel coding theorem and its converse)

4. Differential entropy
4.1. Defintion of differential entropy
4.2. Relationship with discrete entropy and properties

5. Gaussian channels
5.1. Coding theorem for gaussian channels
5.2. Parallel, colored and feedback gaussian channels
5.3. Error correcting codes

6. Rate-distortion theory
6.1. Quantization
6.2. Rate distortion theorem and rate distortion function

7. Advanced Coding
7.1. Advanced coding (Hash, binary codes)
7.2. Exact marginalization in trellises and graphs
7.3. Sparse graph codes

Reference texts
Author Title Publishing house Year ISBN Notes
T. M. Cover, J. A. Thomas Elements of Information Theory (Edizione 1) John Wiley & Sons, Inc. 1991 0471062596 Testo principale
David J.C. MacKay Information theory, inference and learning algorithms (Edizione 1) Cambridge University Press 2003 Testo secondario - disponibile online

Examination Methods

1. Written exam
2. Oral project defense

Teaching materials

Type D and Type F activities

Academic year:

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.