EEE.7-2.1 Telecommunication Systems

51
EEE.7-2.1 Telecommunication Systems Couse contents: * Introduction to signals and telecommunication systems. * Analog to digital conversion. * Digital transmission through a channel with added white Gaussian noise. * Digital transmission through AWGN channel of limited bandwidth. * Multiplexing and multiple access.

Transcript of EEE.7-2.1 Telecommunication Systems

EEE.7-2.1 Telecommunication Systems

Couse contents: * Introduction to signals and telecommunication systems. * Analog to

digital conversion. * Digital transmission through a channel with added white Gaussian

noise. * Digital transmission through AWGN channel of limited bandwidth. *

Multiplexing and multiple access.

EEE.7-2.2 Microwaves

Couse contents: Basic principles of high frequency transmission lines. * Smith charts.

* Matching calculations.* Microwave transmission through metallic waveguides. * TE

and TM wave guiding in orthogonal waveguides. * Analysis of microwave cavities.

EEE.7-2.3 Digital Signal Processing

Couse contents: * Introduction to DSP. * Codecs (A/D and D/A conversion).

*Elementary DSP functions and properties. * Discrete Fourier Transform and its fast

implementations. * Introduction to digital Filter design. * Hardware implementations.

EEE.7-2.4 Electroacoustics I

Course contents: * Sound applications. * Electroacoustic systems. * Sound wave

description. * Wave equation. * Equivalent circuits of mechanical and acoustical

systems. * Subsystems of acoustic facilities. * Sound measurements.

Elective Courses (2/5)

EEE.7-2.5 Advanced Topics in Networking and Security

This course is on advanced topics in Networking and Security. Upon successful

completion of the course the student will have specialized knowledge over Computer

Networks and Interconnected Electronic Systems over the Internet. Based on that, the

student will be able to: * Understand how routing protocols and related algorithms

work, and to know and deploy various routing techniques over IP networks. * Know

and distinguish the various network architectures, their characteristics as well as the

way network devices and remote access protocols operate. * Have an in-depth

knowledge of the interconnection technologies used in IP networks (VLAN, MPLS,

PPoE, PPoA) as well as the characteristics of the physical media. * Design and

implement IP based networks, taking into account the parameters that have an impact

on the design of each topology and use scenario. * Understand the security issues that

apply, on a case-by-case basis as well as to know the techniques used to enhance the

security of systems in networked and cyber physical systems. * Cooperate in a team to

provide integrated solutions for the secure interconnection of networked electronic

devices and systems. * To work in complex work environments with emphasis on data

security and privacy. Keywords: Computer networks, Routing Protocols,

Interconnection Technologies, Network Design and Creation, Network and System

Security.

EEE.7-2.6 Web Applications Development

Course contents: * Web Applications Development, *Addressing security and privacy

issues.: * Different data types that can be generated and exchanged (i.e. Open Data,

Interconnected, etc.) in web applications. * Databases (Relational, Non-Relational) that

can be used to store web related data. * Modern CMS for web development. *

Programmable interfaces (APIs) for data transfer. * Visualizations of stored web data.

* Data security and privacy.

EEE.7-2.7 Photonics Technology

Course contents: * Properties of light and optics principles. * Telecommunication

applications and devices. * Special photonic technologies, devices and applications. *

Light source characterization. * Power measurements. * Fiber optics. * Power spectrum

measurements. *Optical modulation techniques.

EEE.7-2.8 Measurement Systems and Sensors

Course contents: Circuits and noise interference isolation techniques in sensor

measurements. * Digital circuits for reading sensor measurements. * Function and

characteristics of sensor matching circuits. * Basic sensor categories for non electrical

physical properties. * Graphic programming for virtual instrumentation, * High

frequency measurements.

EEE.8-2.1 Optical Communications

Course contents: * Basic optics principles. * Optical waveguides. * Optical fiber

properties. * Transmission through optical fibers. * Modulation techniques. * Optical

amplifiers. * Optical network topologies. * Free space optical communications.

EEE.8-2.2 Antennas

Course contents: *Antenna theory. * Antenna radiation and power transport. * Antenna

characteristics and related equivalent circuits. * Linear antennas. * Idol theory and loop

antennas. * Antenna types. * Printed antennas.

EEE.8-2.3 Internet of Things

Course contents: * Introduction to IoT. * Sensors and Microcontrollers. * Data

communication protocols. * Wireless sensor networks. * Environments, platforms and

application development tools. * Personal network technologies. * Wearable devices.

* Security issues. * Blockchain algorithm.

Elective Courses (3/7)

EEE.8-2.4 Digital Audio and Speech Technologies

Course contents: * Introduction to audio and speech processing techniques. * Speech

digital processing. * Applications and systems for speech processing. * Coding and

compression of sound data.

EEE.8-2.5 Image Processing and Pattern Recognition

Course contents: * Digital Image postulates: Chromatometry, Popular image formats.

Image representation into popular software packages. * Relations between pixels. Basic

image processing techniques. * Image enhancement: Histogram oriented methods and

filtering. * Image enhancement: Frequency Domain representation and filtering. * Edge

detection techniques. Compression postulates. The JPEG standard. * Machine learning

principles and pattern recognition postulates. Introduction to probabilities, Linear

Algebra, SVD. * Bayesian theory. Parametric and non-parametric methods. Linear

discriminant functions. · The curse of dimensionality. Clustering: Machine learning

tools: PCA, LDA

EEE.8-2.6 Microwave Devices

Course contents: * Multi-passive microwave elements and description of the operation

through the Z, Y, ABCD and scattering matrices. * Principle of operation of the

rectangular directional coupler, matrix scattering, applications, broadband directional

couplers. Directional microstrip couplers. * Microwave cavity wavemeter with

coupling opening in waveguide, attenuator operating principle and load implementation

techniques waveguide adjustment, phase shifter. * Techniques for design and operation

of microwave antennas - horn antennas, slot antennas, parabolic reflectors. * Ferrites

and ferrite devices and properties at high frequencies: Isolation principle of operation,

three-port microwave element circulator - applications. * Magic Tee, type H and type

E splitters - applications. * Active microwave components - microwave sources -

characteristics and requirements for microwave applications. Beam interaction

electrons with electromagnetic wave. * The Klystron tube, as a source of microwave

frequency generation - Klystron with reflector - structure and oscillation rates - power

- frequency - reflector voltage. Multi-cavity Klystron as an amplifier. * Gunn diode -

GaAs energy bands and negative resistance effect - construction of Gunn diode -

maximum output power - equivalent circuit. * TWT traveling wave tube as a broadband

amplifier. * The Magnetron tube - internal cavity structure - electron motion - field

distribution. * Impact diode, varactor diode, PIN diode. * Noise in microwave lamps.

Parametric Amplifier.

EEE.8-2.7 Wideband Communications

Course contents: * Modern modulation technologies. * Spread spectrum

communication systems. * Multi-antenna communication systems.

Ok- EEE.8-2.8 Electroacoustics II

Course contents: * Human auditory system characteristics. * Closed space acoustics. *

Acoustical parameters of electroacoustic function facilities. * Noise effect on humans.

* Design of electroacoustic and sound systems.

EEE.8-2.9 RF Design

Course contents: * Introduction. Electromagnetic spectrum, radio frequency (RF)

frequencies, basic system architectures and RF transceivers. Media, reflections,

maximum power transfer. * Lumped and distributed circuits. The electromagnetic

resistance of the resistor, capacitor and inductor at high frequencies (RF). Resonance.

Quality factor. Impedance Transformation. Smith Chart. * High frequency transistor

models. Equivalent RF circuits, parameters S. Integrated circuits RF, MIC, MMIC. *

Filter design. Filter categories. Passive and active filters. Design for a specific filter

class. Microstrip filters.* Small signal amplifiers. Low noise amplifiers. Antenna noise

temperature and circuit noise factor. Cascade topology noise figure. Tuned amplifiers

and Stagger amplifiers.* Power amplifiers. Operating classes, 1 dB compression point,

harmonic and intermodulation products. * Mixers and DAC/ADC. Gilbert cell, up and

down frequency conversion, amplitude modulation. Mixers features. Sampling

theorem. Analog-to-digital and digital-to-analog converters. * Oscillators. Oscillators

using lumped elements. Negative feedback, Barkhausen criterion. Wien bridge

oscillators, phase shift oscillators, crystal oscillators. Design oscillators using a Smith

chart. Phased Locked Loop (PLL). Frequency synthesizers.* Two-way and multi-port

networks. Resistance and conductivity matrices, ABCD, hybrid, and scattering

matrices. * Measurement of scattering parameters. Microwave models and RF

components for CAD software.* RF systems. Analysis and synthesis of RF systems

using scattering parameters. Design using simulation software.

EEE.9-2.1 Information Theory and Coding

Course Contents: * Introduction. * Measures of Information. * Source and Channel

Modelling. * Source Coding. *Channel Capacity. * Channel Coding.

EEE.9-2.2 Wireless Propagation

Course contents: * Introduction to the Course - Overview of Basic Concepts. Planar

Wave - Polarization - Antenna fundamentals. * Fundamental Propagation Mechanisms.

Free Space propagation, Reflection, Refraction / Transmission from flat surfaces. *

Fundamental Propagation Mechanisms: Reflection - Multilayer Transmission

structures, Scattering from rough surfaces. * Fundamental Propagation Mechanisms.

Diffraction from slots, edges, angles. * Shading Phenomena and Losses. * Multipath

Propagation and Narrowband Channels Fading). * Wideband Fading. * Smooth

Atmospheric Refraction and line of sight (LOS) Criteria. * Attenuation from Rain and

Atmospheric Gases. * Propagation Phenomena and Fixed line of sight links design

Principles. * Propagation Phenomena and Design Principles of Cellular coverage for

mobile Communications. * Propagation Phenomena and Wireless Communications-

Networks Transmission and Receiving Technologies.

Elective Courses (4/9)

EEE.9-2.3 Electromagnetic Compatibility

Course contents: * Introduction to EC and definitions. Prototypes and regulations. *

Tests in EC. * Open space control field. Silent chamber. Reverberation chamber. TEM

cells. * Design features and specifications of sound chambers. * Shielding

effectiveness. Absorption losses. Reflection losses. Corrections for multiple reflections.

* Reduction of shielding efficiency through openings and slots - cavity resonance. *

Capacitive conductor coupling. * Inductive conductor coupling. * Twisted pair cables.

Coaxial cables. * Conductive interferences. Electrostatic discharge. Electrical

transitions. Lightning currents. Operation of protection circuits. * Grounding of

systems and devices. Grounding categories. AC supplies and grounding safety. * Signal

grounding. Grounding loops. Strangulation coils.

EEE.9-2.4 Cloud Computing

Course contents: * Introduction. Service models. Development models. * Virtualization

techniques and hypervisors. * Technologies and platforms. * Software defined

networks and network function virtualization. * Use of information storage

(containers). * Best practices for high availability cloud computing infrastructures. *

Real cloud computing infrastructures. * IT automation mechanisms. * Use of Docker

toolset.

EEE.9-2.5 Mobile Communication Networks

Course contents: * Introduction. Definitions and function of mobile communication

network architecture. Mobile communication protocols. * Design of mobile

communication networks. * Wireless channel modeling. Narrow/Wide band mobile

communications. * Digital modulation techniques. Coding for search and correction of

errors. Spread spectrum technologies. OFDM. MIMO. * Multiple access of wireless

channel techniques. * Architecture and topologies of mobile networks. GSM. GPDS.

3G WCDMA. * Introduction to 5G mobile communications networks.

EEE.9-2.6 Wireless Data Networks

Course contents: * Introduction to wireless data. * Reference architectures for wireless

data networks. Components of a wireless LAN. WLANs: the physical layer. Medium

access control. * Mobility and internet protocols. * Data communications in cellular

networks. * Security in wireless data networks. * Routing in wireless LANs. * Wireless

personal area networks and ultrawide band communications. * Broadband wireless

access.

EEE.9-2.7 Digital Audio and Video Broadcasting

Course contents: * Introduction. History of radio/television. Definitions of related

physical quantities. EM spectrum. AM/FM modulation. AM/FM receivers. Antennas.

EM wave propagation. AM/FM radio emitter and receiver. Stereo emission. Production

and transmission of television signal. Scanning. Synchronization. Quality. *

Digitization and compression of audio and video signals. DCT, JPEG. MPEG1.

MPEG2. MPEG4. * Information processing, cryptography, coding, modulation.

MPEG1 System Layer. MPEG2 Transport / Program. FEC/Formating: Energy

Dispersal, Outer/Inner Coding. QPSK/QAM, OFDM. Guard Interval. * Digital

terrestrial and satellite emission and reception. Low Noise Block Converters (LNBs).

DVB-T, DVB-S, DVB-S2. * New technologies and applications.

EEE.9-2.8 Radar and Remote Sensing

Course contents: * Introduction. * Radar function. * Antennas for radar and target

angle. Phased arrays. Rotation and stabilization systems. Target angle measurement. *

Radar equation and target radio cross-section. Backscattering coefficient and target

trace. Target size measurement.* Scattering from simple targets. Scattering from

infinite cylinder, sphere, and conductive plate. * Scattering from multiple targets. SW1-

SW5 type targets. SNR for complex targets. Simulation of scattering signals. *

Detection theory and radar signal. Probability for single pulse target detection. *

Specialized radar systems. Frequency modulation radar. Concurrent phase radar. Early

warning radar. Surveillance radar. * Radar receivers. Matched filter receiver. Radar

pulse uncertainty function. * Passive sensors. Black and gray body radiation * Image

synthesis radar. Linear antennas. SAR type radars. * New technologies and

applications. Time-space radar signal processing. MIMO radar. Microwave radar.

EEE.9-2.9 Satellite Communications

Course contents: * Parameters of satellite orbits, determination of azimuth and

elevation angles of the satellite from a terrestrial station.* Link budgets for the up- and

down-links and calculation of the carrier to noise ratio (C / N) at the ground terminal

receiver. * Calculation of signal to noise ratio (SNR) or rate error (BER) for a satellite

link. * Design a satellite communication system to achieve specific targets for the signal

to noise ratio (S / N) and BER using appropriate multi-access techniques - improvement

of BER through ARQ and FEC coding techniques. * Effect of rain attenuation on a

satellite link and availability of the link based on the geographical location of the

terrestrial terminals. * Types and dimensions of antennas used in satellites and ground

stations. * GEO or LEO satellite systems for voice, video or data using analogue or

digital configuration. * International regulatory framework for satellite services and

space applications.

EEE.9-2.10 Telecommunication Systems Design

Course contents: * Introduction and basic digital model of a telecommunication system

(Digital Radio). Software defined radio. Digital signal processing. * Classical design

and implementation of telecommunication systems. Representation of signals.

Modulation. SDR emitter/receiver. * Hardware and software tools for digital

implementation of telecommunication subsystems. FPGA-based SDR development

boards) ETTUS and ADALM-PLUTO. Applications in Matlab/Python/C++. *

Application examples for modulation and demodulation (AM, DSBsc, SSB) and 2D

(M-PSK, M-QAM). OFDM. * Design and implementation of specialized

telecommunication systems. Channel modeling, coding, synchronization, control etc.

EEE.7-3.1 Microcontrollers-Embedded Systems

Course contents: * General purpose systems – Embedded systems. * Software-

hardware co-design. * Embedded system characteristics. * Applications of embedded

systems. * Basic components of embedded systems. * Cyber-physical system

applications of embedded systems. * Limitations of embedded systems. * Design and

function parameters.

EEE.7-3.2 Automatic Control Systems II

Course contents: * Applied automated control systems. * Compensation via phase lead

/ phase lag networks. * Representation in state space –State space equations solving. *

Equivalent descriptions in state space. * Controllability – Observability. * Lyapunov

stability analysis. * Design in state space, * Optimal control. * Non-linear systems

analysis.

EEE.7-3.3 Digital Signal Processing

Couse contents: * Introduction to DSP. * Codecs (A/D and D/A conversion).

*Elementary DSP functions and properties. * Discrete Fourier Transform and its fast

implementations. * Introduction to digital Filter design. * Hardware implementations.

Elective Courses (3/6)

7-3.4 Semiconductor Devices

Course contents: * Solid state and semiconductor physics elements. Electron as a wave.

Electron structure of elements. * Crystal structure. Semiconductor models. * Atomic

density. Mobile carriers in metals and semiconductors. * Semiconductor impurities.

Fermi level. * Ohmic contacts. * Carrier scattering. * Current in semiconductors. *

Semiconductor devices. Diode. BJT. MOSFET.

EEE.7-3.5 Mixed Analogue – Digital Circuits

Course contents: * Positive and Negative feedback electronic circuits. Oscillation

criterion. Classes of Oscillators. * RC oscillators (Wien oscillator, Phase shift

oscillator, Double T oscillator, etc). LC Oscillators (Colpitts oscillator, Hartley

oscillator, Clapp oscillator, etc). Crystal oscillator circuits. Voltage Controlled

Oscillators. Phase locked Loops. * Introduction to multivibrators. Astable, Monostable,

Bistable multivibrators. OpAmp implementation of multivabrators. * Introduction to

Signal Conditioning. IC 555 and application. Clock circuits. Non-linear dynamic

systems, chaotic circuits. A/D and D/A circuits. Circuit Analog/Digital interaction. *

Introduction to passive electronic filters. Transfer Function, Bode analysis. 1st, 2nd and

higher order filters. Analysis and design of low-pass, high-pass, and band pass filters.

* Introduction to active electronic filters. Sallen-Key filters. 1st, 2nd and higher order

filters. Analysis and design of low-pass, high-pass and band-pass filters.

EEE.7-3.6 Measurement Systems and Sensors

Course contents: * Introduction to sensors. Definitions. Applications. MEMS.

Microsensors. * Measurement system characteristics. Sensors, transducers, converters.

* Sensor characteristics. * Noise sources and interferences in measurement systems and

sensors. Capacitive and inductive coupling. Differential amplifiers. Isolators. * Analog

electronic measurement systems. * Digital electronic measurement systems. * ADCs.

* Non-electrical quantity measurements and related sensors. * Temperature

measurement sensors. * Strain gauges. * Position sensors. * Hall-effect sensors. *

Humidity sensors. * Piezoelectric sensors. * Flow sensors. * Chemical sensors. * Bio-

sensors.

EEE.7-3.7 Integrated Circuits Design (VLSI)

Course contents: * Introduction to VLSI design and the various integrated circuit

architectures. * Methodologies and tools uses in IC design. * Layout design and CMOS

IC fabrication processes. * Analysis of basic and more complex CMOS circuits. * Static

and Dynamic RAM design. * Sequential logic, flip-flop and register design with VLSI

techniques.

EEE.7-3.8 Web Applications Development

Course contents: * Data varieties, storage and representation. JSON. XML *

Applications of relational and non-relational data bases. SQL. CRUD. PHP. * Content

management systems. Wordpress. Joomla. Drupal. * Internet services. SOAP. REST.

Javascript. * Security and privacy applications. SSL. Authentication. Authorization.

Accounting.

EEE.8-3.1 Operating Systems

Course contents: Introduction to OS. * Processes. * Threads. * Memory management.

* File systems and their management. * Windows OS. Linux OS and programming. *

Android OS. * Specialized OS.

EEE.8-3.2 Computational Intelligence

Course contents: Introduction to artificial and computational intelligence. *

Introduction to machine learning. * Artificial neuron model. * Perceptron. * Multilayer

perceptron neural networks. * RBF neural networks. * Other neural network

architectures. * Hardware implementation of neural networks. * Introduction to fuzzy

logic. * Fuzzy logic systems. * Genetic algorithms. * Swarm intelligence. *

EEE.8-3.3 Databases

Course contents: * Introduction to databases and non-relational databases for big-data

applications. * Comparison and differences of RDBMS and non RDBMS. * Servers

for databases. * Tools, applications and technologies related to databases.

EEE.8-3.4 Robotics

Course contents: * Introduction to Robotics. * Robotic Architecture. * Kinetic Analysis

of Robotic Systems. * Static Analysis of Robotic Systems. * Dynamic Analysis of

Robotic Systems. * Robot Programming.

EEE.8-3.5 Embedded Systems Programming

Course contents: High level embedded systems development with ASIC or FPGA. *

MSP430 microcontrollers. * MBED platform. * Simuling platform. * Microcontroller

programming applications.

EEE.8-3.6 Nanoelectronic Devices

Course contents: * Introduction to quantum mechanics. Photoelectric effect. Hydrogen

spectrum. De Broglie equation. Discrete spectrums. Electrochemical potential in

metals. * Energy levels in low dimensionality systems. Quantum wells. Molecular

bonds. Tunneling. Energy levels in solids. * Bottom up approach study in

nanoelectronic systems. Molecular electronics. I-V and G-V characteristics. * Carrier

movement in nano MOS transistors. Ballistic conductivity. Carbon nanotude

transistors. Nano-wires. * Memory devices with nanoparticles. Hot electrons and

carrier transport models through thin insulators. * C-V characteristics in MOS and

nano-memories. * Coulomb blockage. Quantum points. Bandgap widening. Optical

properties. Single electron transistors. Coulomb diamonds. * Metallic nanoparticles.

Single molecule sensors. Photovoltaic elements. * Electronic, optical properties and

transport phenomena in nanodevices. * Characterization of nanodevices. * Introduction

to quantum computing.

EEE.8-3.7 Internet of Things

Course contents: * Introduction to IoT. * Sensors and Microcontrollers. * Data

communication protocols. * Wireless sensor networks. * Environments, platforms and

application development tools. * Personal network technologies. * Wearable devices.

* Security issues. * Blockchain algorithm.

EEE.8-3.8 Image Processing and Pattern Recognition

Course contents: * Digital Image postulates: Chromatometry, Popular image formats.

Image representation into popular software packages. * Relations between pixels. Basic

image processing techniques. * Image enhancement: Histogram oriented methods and

filtering. * Image enhancement: Frequency Domain representation and filtering. * Edge

detection techniques. Compression postulates. The JPEG standard. * Machine learning

principles and pattern recognition postulates. Introduction to probabilities, Linear

Algebra, SVD. * Bayesian theory. Parametric and non-parametric methods. Linear

discriminant functions. · The curse of dimensionality. Clustering: Machine learning

tools: PCA, LDA

EEE.9-3.1 Modern Microcomputer Systems

Course contents: * Development platforms and tools. Arduino. Beagleboard. Raspberry

Pi. NXP Freedom. TI Sensortag. C.H.I.P. PocketCHIP. * Introduction to embedded

cyber physical systems (CPS). State-flow implementation. Specification Description

Language (SDL). * Microcontroller programming with MBED. * Raspberry Pi

development platform. * Connection, control and communication of Raspberry Pi.

EEE.9-3.2 Intelligent Control

Course contents: * Fuzzy control. * Dynamic models and neurodynamics. * Inverse

neural control. * Control parameter calibration using metaheuristic search methods. *

Predictive model control for linear systems. Dynamic matrix control. * Predictive

model control for non-linear systems. * Adaptive control models. * Adaptive control

techniques.

EEE.9-3.3 Quantum Electronic Devices

Course contents: * Spontaneous and forced emission. Einstein equations. * Function of

lasers. Pumping. Three and four level systems. * Laser spectrum. Widening

mechanisms. Longitudinal models. Spectrum comb. * Optical cavities. Design and

stability criteria. * Pulse lase technologies. Q-switching. Mode-locking. * Transport of

fast pulses through matter. * Maxwell equations for non-linear materials. * 2nd order

non-linear processes. * Conditions for energy and momentum conservation. * Ideal

phase matching methods. * Partial phase matching methods.

EEE.9-3.4 Industrial Engineering

Course contents: * Introduction to Industrial Engineering. * Classic Industrial

Automation. * Programmable Logic Controllers (PLCs). * Supervisory Control and

Data Acquisition (SCADA). * Computer Numerical Control (CΝC). * Computer

Integrated Manufacturing (CIM). * Introduction to Techno-Economic Theory. *

Manufacturing organization. * Standardization and Control of Quality and Reliability.

EEE.9-3.5 Digital Control Systems

Course contents: * Discrete time control. * Z-transform and inverse Z-transform. *

Impulse invariance system discretization. Zero-order hold system discretization.

Bilinear transform. Pade approximation. * Discrete time system description. Observer

canonical form. Controller canonical form. * Closed control discrete time system

analysis in state space. Controllability. Observability. Unit cycle criterion. Jury

criterion. Nyquist criterion. Bode criterion. * Design of digital controllers. Dead-beat

control. Lueberger observers. State feedback. Design of PID. Computer adjustments

and calibration.

EEE.9-3.6 Mechatronics

Course contents: * Introduction to mechatronics. * Dynamics of moving systems. *

Movement control. * Electromechanical actuators. * Analog electronics in mechatronic

systems. * System design. The V model. * Energy transducers/actuators. *

Programming/Control of mechatronic systems. * Sensors. * Electronic circuits for

sensor/transducer signal processing. * Applications of mechatronic systems.

EEE.9-3.7 Cloud Computing

Course contents: * Introduction. Service models. Development models. * Virtualization

techniques and hypervisors. * Technologies and platforms. * Software defined

networks and network function virtualization. * Use of information storage

(containers). * Best practices for high availability cloud computing infrastructures. *

Real cloud computing infrastructures. * IT automation mechanisms. * Use of Docker

toolset.

EEE.9-3.8 Biomedical Technology

Course contents: * Current technologies, sectors and applications of biomedical

technology. * Modalities used in biomedical technology, * Theory of 1D biomedical

modalities (EEG, ECG etc.). * Theory of 2D and 3D biomedical modalities

(tomography, imaging methods). * Comparisons of biomedical imaging systems. *

Effects of using, and maintaining biomedical systems on humans. * E-Health and m-

Health applications. * Bio-signal processing. * Digital biomedical image processing.

Image alignment. * Medical decisions and diagnosis assistance using biomedical

systems.