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CODE 66090
ACADEMIC YEAR 2017/2018
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-INF/03
LANGUAGE Italian
TEACHING LOCATION
SEMESTER 2° Semester
MODULES Questo insegnamento è un modulo di:
TEACHING MATERIALS AULAWEB

OVERVIEW

The course introduces key concepts about information representation in data storage and processing systems. Basic knowledge on the characterization of continuous and discrete information, on coding and compression techniques, and on a few encryption algorithms will be provided.

AIMS AND CONTENT

LEARNING OUTCOMES

The course will introduce the topic of information representation in data storing and processing systems. Basic knowledge on the characterization of continuous and discrete information, on coding and compression techniques, and on some cryptography algorithms will be provided.

AIMS AND LEARNING OUTCOMES

The objective of the course is to provide basic concepts about information representation in systems for the storage, the processing, and the transmission of data, signals, images, and video. Specific objectives include providing the students with basic knowledge about analog and digital information; analog-to-digital conversion; source coding; audio, image, and video compression; and introductory notions of cryptography.

TEACHING METHODS

Class lectures

SYLLABUS/CONTENT

The concept of information: continuous and discrete signals and messages; basic key ideas of a communication system or network and of an information processing system. Continuous information sources: characterization and analog-to-digital conversion. Discrete information sources and coding: quantitative information measures and entropy; discrete source coding, examples of coding algorithms (e.g., Shannon-Fano, Huffman, Lempel-Ziv-Welch); basic concepts of cryptography and IT security.

RECOMMENDED READING/BIBLIOGRAPHY

A. B. Carlson and P. Crilly, Communication Systems, 5th edition, McGraw Hill Education, 2009

TEACHERS AND EXAM BOARD

Exam Board

MARCO MARATEA (President)

GABRIELE MOSER (President)

SEBASTIANO SERPICO

SANDRO ZAPPATORE

LESSONS

EXAMS

EXAM DESCRIPTION

Oral examination

ASSESSMENT METHODS

Oral examination on the course topics

Exam schedule

Data appello Orario Luogo Degree type Note
31/05/2018 10:00 SAVONA Orale
02/07/2018 10:00 SAVONA Orale
04/09/2018 10:00 SAVONA Orale

FURTHER INFORMATION

Pre-requisites: basic background of mathematics, probability theory, and computer science