The course aims at educating students on concepts such as signal and system, as well as on a set of mathematical tools and techniques used to analyze and process signals and systems in the time and frequency domains. Upon successful completion of the course, students will acquire the knowledge and skills required in specialized Curriculum subjects such as digital signal processing, analogue and digital telecommunication, networks, hardware design, embedded systems, etc.

Information Theory (TD502)
Michael Paraskevas  Undergraduate 
(A)
Computer and Informatics Engineering Department, TEI of Western Greece
The aim of the course is to familiarize students with the principles, concepts and applications of information theory. Information Theory is the fundamental field of study of signal transmission and compression associated with quantifying data to as much data as possible to be reliably stored on a medium or transmitted through a communication channel. The information measure, also known as entropy information, is usually expressed by the average number of bits required for storage or communication.

The purpose of the course is to introduce students to the basic concepts and techniques of analogue communications, as well as introductory concepts of digital communications. For this purpose, a review of important modules of signal theory and systems (signals and systems of continuous time, convolution, Fourier transform, etc.) will be initially made. Next, the concept of configuration will be given and the two basic families of analogue configurations (width and angle) will be presented. The effect of noise on analogue communication systems will be examined. This will be followed by the presentation of the analog signal conversion to digital, as well as the presentation of the multiplexing techniques in time and frequency and pulse configurations.

The purpose of the course is to introduce students to the basic concepts and techniques of digital signal processing. For this purpose, the concepts of signals and timebased systems will be presented. The calculation of the response of a Linear and Time Unchanged system in Displacement by convolution and displacement equation will be presented. The definitions and properties of DTFT, DFT and Z transforms as well as their applications will be given. The concepts of the transport function, the frequency response and the system response finding using the DTFT and Z transforms will be presented. Systems stability will be studied by the generation of zerotozero graphs. Finally, the basic concepts of filter design FIR and IIR will be presented.
