3040 English language
4th Semester ECE
Συνδιδασκαλία: 2042
ECTS : 2
Study Load : theory 2, lab 0
Language : el, en
The aim of the course is to introduce students to technical terminology relating to the field of Electrical and Computer Engineering through the use of texts from a variety of sources. More specifically, the course focuses on:
•familiarising students with technical terminology specific to their discipline,
•analysing the linguistic features of academic writing, and how it differs from technical writing
•examining the structure and language of research articles and articles in popular science magazines,
•examining the features of other academic genres, such as research abstracts and literature reviews.
By the end of the course, students will be able to:
•understand what technical language is and how to approach academic/technical texts,
•understand the features of academic writing,
extend their reading and writing skills.
3209 Discrete Mathematics
4th Semester ECE
ECTS : 4
Study Load : theory 4, lab 0
Language : el
Learning Outcomes : The course is the basic introductory course in the broader area of Discrete Mathematics. The course material aims to introduce students to the fundamental concepts of Discrete Mathematics and the use of these concepts in mathematical modeling of problems and in solving problems in the field of Electrical and Computer Engineering. The course material covers, and addresses in a unified and combined manner, important concepts and areas of Discrete Mathematics, such as: The proof techniques of mathematical induction and the Pigeonhole Principle. The principle of recursion and its relation to algorithms and mathematical induction. Basic elements of set theory. Propositional and predicate logic. Relations and functions, order and equivalence relations. Graph theory. Combinatorial enumeration and discrete probability. The goal of the course is for students to acquire sufficient cognitive background and fluency in the use of all the above areas of Discrete Mathematics. Upon successful completion of the course, students will be familiar with the basic terminology of these areas and will be able to use concepts and techniques from these areas of Discrete Mathematics for the modeling and solution of practical problems.
Sets and set operations. Countable and uncountable sets, the diagonalization principle, uncomputability, Russell's Paradox. Relations and functions. Binary relations, properties of binary relations, equivalence relations, partial and total orders, closures. Elements of propositional and predicate logic. Proof techniques, mathematical induction, the pigeonhole principle.
Elements of Graph Theory. Types of graphs, vertex degree, subgraphs, graph isomorphism, cliques and independent sets, chromatic number. Walks, trails, paths, distances, shortest paths, Euler circuits and trails, characterization of Eulerian graphs, Hamilton cycles and paths, Dirac's Theorem. Trees, characterization of trees, spanning trees and properties, applications. Planar graphs, Euler's formula, Kuratowski's Theorem. Graph connectivity, bridges and cut-sets, cut-points and separators, Menger's Theorem, networks and flows. The Principle of Inclusion-Exclusion. Combinatorial enumeration. Product and sum rules, applications of the Inclusion-Exclusion Principle, permutations and arrangements, combinations, binomial coefficients, Pascal's Triangle, distribution of distinct and non-distinct objects into containers, construction of permutations and combinations, elements of discrete probability, elements of information theory. Generating Functions. Basic properties, application in computing sums, application in solving combinatorial problems, exponential generating functions. Solving linear recurrence relations with constant coefficients. Characteristic equation, homogeneous solution, particular solution, solution using the generating functions method. Elements of Number Theory. Divisibility and prime numbers, Euclidean algorithm, modulo arithmetic, linear congruences, the Chinese Remainder Theorem. Asymptotic notation and asymptotic estimation.
3069 Electronics I
4th Semester ECE
ECTS : 5
Study Load : theory 4, lab 0
Language : el
Learning Outcomes : Familiarity with Bipolar Transistors and their basic circuit structures, amplifiers and translinear circuits. Introduction to MOS transistors
Structure and operating principles of Bipolar and FET Semiconductor Devices. DC operation, I-V and C-V characteristics, Small and Large-signal Models of Diodes, Bipolar and MOS Transistors. Review of Circuit analysis methodologies and Theorems.
Basic PN and Zener Diode circuits. Biasing, analysis and design of basic Amplifier circuits using Bipolar and MOS Transistors.
3286 Stochastic Systems and Communications
4th Semester ECE
ECTS : 5
Study Load : theory 4, lab 0
Language : el
Learning Outcomes : This course constitutes the main introductory course in the field of communication systems, with an emphasis on stochastic systems.
Upon successful completion of the course, the student will have acquired the following competencies:
• knowledge of the basic communication technologies and how they are used in different environments;
• understanding of the different types of telecommunication systems and their design principles;
• knowledge of the basic techniques and principles for signal transmission through telecommunication systems;
• knowledge of signal and communication system analysis in both the time domain and the frequency domain;
• familiarity with issues related to amplitude modulation (AM), (de)modulation architectures, and multiplexing techniques;
• knowledge of the basic issues related to phase modulation (PM) and frequency modulation (FM);
• familiarity with stochastic processes, their description and properties, and the issues governing their transmission through telecommunication systems;
• understanding of issues related to the presence of noise in communication systems and awareness of the characteristics of different types of noise (e.g., white noise, shot noise, thermal noise).
1 Introduction to telecommunication systems and signals, Fourier Transform and its properties, time/frequency duality, Delta function, Fourier transform of periodic signals, linear systems, filters.
2. Low-pass and band-pass signals, band-pass systems, phase delay and group delay.
3 Amplitude modulation, double-sideband modulation with suppressed carrier (DSB-SC).
4. Orthogonal carrier multiplexing, single-sideband and vestigial-sideband modulation, frequency translation, frequency-division multiplexing (FDM).
5. Introduction to probability theory, random variables.
6. Statistical averages, stochastic processes, mean value, correlation and covariance functions.
7. Transmission of a stochastic process through a linear filter, power spectral density, Gaussian stochastic processes.
8. Shot noise, thermal noise, and white noise.
9. Narrowband noise.
10. Frequency modulation (FM): introduction and basic definitions.
11. Narrowband and wideband frequency modulation, transmission bandwidth of FM signals.
12. Generation and demodulation of FM signals.
13. Applications in wireless/wired communication systems