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.
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.
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.
Class lectures
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.
A. B. Carlson and P. Crilly, Communication Systems, 5th edition, McGraw Hill Education, 2009
Ricevimento: By appointment
MARCO MARATEA (President)
GABRIELE MOSER (President)
SEBASTIANO SERPICO
SANDRO ZAPPATORE
ICT FOR MANAGEMENT SYSTEMS 1
Oral examination
Oral examination on the course topics
Pre-requisites: basic background of mathematics, probability theory, and computer science
