CYPRUS UNIVERSITY OF TECHNOLOGY

The aim of this course is to teach advanced techniques in designing high-performance microprocessors and parallel and distributed computer systems. The major goal of this course is to carry out research work that will lead to the completion of a semester-long research project, whereby the students will enhance their knowledge and their skills in designing and simulating computer systems and processors and to perform quantitative performance analysis through the collected experimental results. The course will cover advanced topics in the fields of microprocessors and large-scale computing systems, such as multi-issue instruction pipelining, instruction-level parallelism, multithreaded architectures, very-large instruction word processors, sub-word parallelism, parallel computers, cache coherence protocols, distributed memory, distributed processors, parallel programming and on-chip networks. The course will cover broad themes pertaining to the state-of-the-art technology in the field of computer systems and high-performance micro-processors. As students gain knowledge in the first half of the course, they will then study several research papers during the second half of the course in the fields of parallel and distributed computing and microprocessors and will present the studied material during lecture periodically (either in pairs or individually). The gained knowledge will then help the students complete their research project that can be proposed by themselves (carried out with the approval by the instructor), or they will be given a research topic to be explored by the instructor. In either case, the conclusions drawn by the project will be derived from detailed simulations of computing systems that will be designed in such a way to encompass the tested research ideas. Prerequisites and background: The students should possess strong expertise in computer architecture and computer programming in languages such as C/C++. Additionally, they should possess basic knowledge in the field of digital circuit design. Also, preferably they should possess familiarity with basic computer network principles and mathematics particularly in the field of probability theory. This is a graduate-level course and undergraduate students need the approval of the instructor so as to register for this course. The expected workload of undergraduate students differs from that of postgraduate students as they are not expected to complete the aforementioned research project.

Μάθημα Περιορισμένης Επιλογής

CEI 467 Advanced Topics in Data Processing Systems (5 ECTS)

Μάθημα Περιορισμένης Επιλογής

CEI 468 Human-Computer Interaction

CEI 469 Computer Security and Cryptography

Course Purpose and Objectives

The aim of this course is to study and understand basic introductory but also some more advanced topics in the field of Computer Security and Cryptography. It analyzes all the basic introductory concepts of computer and network security in general and maps the current state in the field. In addition, emphasis is given on the basic principles of design and implementation of cryptographic systems, and all basic cryptographic algorithms and protocols and their main representatives are analyzed in conjunction with the recent developments in the field concerning introduction of new cryptographic algorithms and successful attacks on older ones. It also analyzes Internet security and the World Wide Web security, incorporating all the latest developments in Internet threats and attacks such as social engineering, clickjacking, tabnapping, and ransomware. At the same time, the basic types of threats and malware such as viruses, worms, Trojan horses, backdoors, botnets etc. are analyzed thoroughly and in all respects, focusing especially on related vulnerabilities and attacks as well as methods of defense and protection.

Learning Outcomes

At the end of the course the student will have:

Understood all the basic and some advanced concepts and their importance in computer and network security in their full dimension, beyond their IT aspect.
Understood the modern range of threats to computer and network security and the current status quo in the field
Understood all basic types of cryptographic algorithms and their characteristics as well as the basic cryptographic protocols
Become able to analyze and evaluate computer and network security systems
Become able to design and implement secure systems and applications by adopting defense and protection measures against modern threats to computer and network security
Become able to evaluate the advantages and disadvantages of alternative cryptographic algorithms, protocols, architectures of security systems etc., making appropriate choices depending on the complexity, cost, value of the protected goods, etc.
Acquired all basic and some advanced knowledge of all basic types of malware in terms of vulnerabilities to be exploited, infection/replication, defense methods, and resulting attack effects.
Understood basic concepts of malware such as polymorphism and stealth techniques, while at the same time understanding basic malware protection practices.
Acquired all basic knowledge about the main types of vulnerabilities that enable initial infection and subsequent spread and replication of malicious software.
Understood the basic modern internet threats in the context of social media such as Clickjacking, Tabnapping, Ransomware, etc. and countermeasures against them
Acquire advanced knowledge for more specialized topics of the computer security area due to their projects.

Course Content

The course contains introductory but also advanced topics in the area of Computer Security and Cryptography. Emphasis is given on basic principles of designing and implementing cryptographic systems and on the security of the Internet and the World Wide Web.

This course covers the following topics: Objectives and basic principles of cryptography, computers security and networks security. Vulnerabilities, Threats, Attacks and Controls, Cybercrime and cybercriminals Principles of designing secure computing systems. Privacy and Anonymity. Introduction to Cryptography. Hash functions, Message Authentication Codes (ΜΑCs) and Digital signatures. Digital certificates and Public Key Infrastructures (PKI). Symmetric-key cryptography and cryptographic algorithms (Block Ciphers, Stream Ciphers). Asymmetric-key cryptography, Elliptic curves cryptography. Key generation and exchange. Cryptographic protocols. Strategies for designing and implementing cryptogrpahic security systems (Hw/Sw), Implementation of security cryptographic systems in harware. Analytical study of all basic kind of malware and their subcategories: Virus, Worms, Trojans, Backdoors, Wrappers, Rootkits, Botnets architectures and detection methods etc. Methods of Replication, replication/ infection, countermeasures and damages from malware. Denial of Service attacks. Malware Polymorphism and stealth techniques. Cross-site scripting, Buffer Overflow and other vulnerabilities. Internet and World Wide Web security, Social engineering and Phishing attacks, Spoofing, Spam, Spyware, Adware, Keyloggers, Packet sniffing etc.. ClickJacking. Tabnapping. Ransomware. Anti-virus and Firewalls. Trusted Computing. SQL injection. Smart cards. Physical Unclonable Functions (PUFs) and their applications in computer security. Commercial cryptographic security systems and protocols SSL/TLS etc..

CEI 470 Integrated Circuits Design and Testing

Course Purpose and Objectives

The main objectives of this course are:

• The study and in-depth understanding of the design goals of digital circuits and systems hardware implementations (FPGAs, ASICs, ASIPs) in terms of speed, power consumption and implementation area etc.

• The study, in-depth understanding and subsequent practical application of the design flow and implementation flow of hardware circuits and systems as well as the analysis and comparative evaluation of the different alternative circuit design architectures.

• The in-depth understanding of the different strategies / methodologies for designing hardware designs.

• The study and application of optimization techniques for digital circuits and systems hardware design such as parallelism, pipelining and algorithmic loop unfolding,at system, algorithmic, register, circuit levels of the design flow for optimal digital designs implementation regarding the selected optimization factor (speed, power, area).

• The definition of functional specifications and the verification of the circuits' or systems' correct functionality.

• The description of digital circuits and systems using the VHDL hardware description language.

• Acquiring hardware design experience through "lab training" homeworks ( with provided hardware synthesis and simulation tools) through weekly mini-tasks on the above topics.

• Introduction to the basic concepts of testing and testability of ICs, the valuation of ICs production lines (yield), the economics of ICs testing and so on.

• Study and analysis of fault Models and faults detection as well as introduction to design for testability(DFT) ICs.

• Introduction to logic fault simulators, test patterns generation and application as well as in techniques for circuit testing.

Learning Outcomes

Upon completion of the course the student will:

· Understood in-depth the alternatives of digital systems hardware designs architectures and implementations and the corresponding required theory for designing high speed, low-power and low-integration area digital circuits and systems

· Understood thoroughly the various design strategies, so as to choose the most suitable according to the needs of the algorithm or the application to be implemented in hardware

· Be able to choose between different implementations or apply appropriate optimization techniques to design high-speed or low-power or limited integration area hardware designs according to the algorithmic design constraints.

· Be able to apply optimization techniques at all levels of the design flow (system, algorithm, register, circuit) for the efficient implementation of algorithms in hardware designs

· Be thoroughly aware of the methods and techniques required to verify the correct functionality of VLSI circuits and systems.

· Have acquired design experience on the above topics through weekly mini lab exercises homework.

· Have acquired extensive experience through weekly mini lab exercises homework in designing, describing and implementing digital hardware systems using the VHDL hardware description language

· Understood the basic need for integrated circuits testing and the need for their design for increased testability taking in consideration economic aspects of ICs design and implementations.

· Have knowledge on how to detect and model faults at logic level in ICs.

· Become experienced in generating and applying test vectors as well as in testing techniques for ICs.

Prerequisites

EEN 212 and EEN 314 or CEI 122 and CEI 323

Course Content

Basic and advanced techniques for developing, designing and testing integrated circuits. Digital design optimization techniques in terms of various designs parameters (speed, power, area) as well as practical approaches in testing the designed Integrated Circuits. Analysis of digital hardware design flow, design levels and implementations, Top/Down and Bottom/Up hardware design approach with examples. Timing and optimizations, Pipelined Digital Design for high throughput, Parallel Digital Design for low area consumption, Parallel, Algorithmic Loop Unfolded and Pipelined Digital Designs for low area consumption, Testbences for hardware designs simulations, Challenges in 90nm Digital Hardware Design. Digital Hardware Design with hardware description language VHDL. Extensive case study, analysis and optimized redesign of hardware designed cryptographic algorithm: Pipelined SHA-1 Hash function. Introduction to the need for testing, Failures, Defects and Fault Models, Stuck-at Faults, Simple and multiple stuck-at faults, Faults coverage, Bridging Faults, Logic fault simulation, Serial, parallel, deductive and concurrent fault simulators, Test patterns generation, Algebraic and algorithmic methods for test patterns generation, Design for testability, Observation and control points, Pseudoexhaustive testing, Scan path design technique.

Μάθημα Περιορισμένης Επιλογής

CEI 470 Integrated Circuits Design and Testing (6 ΕCTS)

Μάθημα Περιορισμένης Επιλογής

CEI 471 Data Science (5 ECTS)

This module is about learning from data, in order to gain useful predictions and insights. Separating signal from noise presents many computational and inferential challenges, which we approach from a perspective at the interface of computer science and statistics. Through real-world examples of wide interest, we introduce methods for: • data munging/scraping/sampling/cleaning in order to get an informative, manageable datasets; • data storage and management in order to be able to access data - especially big data - quickly and reliably during subsequent analysis; • exploratory data analysis to generate hypotheses and intuition about the data; • prediction based on statistical tools such as regression, classification, and clustering; and • communication of results through visualization, stories, and interpretable summaries. Syllabus The module comprises a theoretical part and a series of laboratory excercises. THEORETICAL PART • Introduction. What is data science? Why is it important? Who are we? • Exploratory Data Analysis. Data Types. Data Dimensions. Visual Attributes. Effective Visual Encodings. • Visualization Design Principles. Statistical Graphs. • Data Sources. Web Scraping. Data Cleanup. • Probability review. Statistical models. Parametric and nonparametric distributions. Bootstrap. • Bias and sampling. Forms of bias. Bias-variance tradeoff. • Classification and regression. • High-dimensional data. Parallel Coordinates. Glyphs. Dimensionality Reduction. PCA. SVD. MDS. • Cross-validation. Clustering. • Bayesian thinking and methods. Prior distributions, likelihood. • Simulation methods, Bayesian computation, Monte Carlo methods. • Basic machine learning. • Amazon EC2, AWS Datastore, MapReduce, MRJob • Network sampling, community detection. LABORATORY • Introduction to Python and Numpy Arrays • Web Scraping, Data cleaning, and Pandas • Viz, and Matplotlib • SciKit Learn and Statistics in Python • SciKit Learn: inference, and cross-validation • SciKit Learn: Bayesian Analysis • MCMC in Python • EC2 and MRJob • Theano and GPU-based acceleration

Μάθημα Περιορισμένης Επιλογής

CEI 472 Production Management Information Systems

CEI 474 Διαχείριση Έργων και Χρονικός Προγραμματισμός

Υποχρεωτικό Μάθημα

CEI 521 Advanced Topics in Software Engineering

Υποχρεωτικό Μάθημα

CEI 522 Advanced and Distributed Operating Systems

Υποχρεωτικό Μάθημα

CEI 523 Data Science (8 ECTS)

Υποχρεωτικό Μάθημα

CEI 524 Network Science (7 ECTS)

Υποχρεωτικό Μάθημα

CEI 525 Natural Language Processing (8 ECTS)

Υποχρεωτικό Μάθημα

CEI 526 Advanced Topics in Data Processing Systems

Υποχρεωτικό Μάθημα

CEI 527 Research Methods in Computer and Informatics Engineering (7 ECTS)

Υποχρεωτικό Μάθημα

CEI 528 Deep Learning (8 ECTS)

Υποχρεωτικό Μάθημα

CEI 529 Web Security and Privacy

Μάθημα Περιορισμένης Επιλογής

CEI 543 Digital Image Processing

Μάθημα Περιορισμένης Επιλογής

CEI 565 Software Project Management (7 ECTS)

Μάθημα Περιορισμένης Επιλογής

CEI 571 Project Management & Scheduling

CEI 573 Production Management Information Systems

Υποχρεωτικό Μάθημα

EEI 101 Advanced Mathematics I

EEI 102 Physics I

Υποχρεωτικό Μάθημα

EEI 101 Advanced Mathematics I

Μάθημα Περιορισμένης Επιλογής

EEI 102 Physics I

Υποχρεωτικό Μάθημα

EEI 103 Advanced Mathematics II

EEI 103 Advanced Mathematics II (5 ECTS)

Υποχρεωτικό Μάθημα

EEI 104 Linear Algebra (5 ECTS)

Υποχρεωτικό Μάθημα

EEI 131 Introduction to Computation and Programming (6 ECTS)

Υποχρεωτικό Μάθημα

EEI 131 Fundamentals of Electrical Engineering, Computer Engineering and Informatics

Υποχρεωτικό Μάθημα

EEI 132 Introduction to Computing and Programming (C) (6 ECTS)

Υποχρεωτικό Μάθημα

EEI 133 Object-oriented Methodology and Programming with C++ (6 ECTS)

Υποχρεωτικό Μάθημα

EEI 133 Object-oriented Methodology and Programming with C++ (6 ECTS)

Υποχρεωτικό Μάθημα

EEI 201 Advanced Mathematics III (5 ECTS)

EEI 203 Introduction to Biology

Υποχρεωτικό Μάθημα

EEI 231 Signals and Systems (6 ECTS)

Υποχρεωτικό Μάθημα

EEI 231 Signals and Systems (5 ECTS)

EEI 233 Computer Organisation

Υποχρεωτικό Μάθημα

EEI 233 Computer Organization (6 ECTS)

Υποχρεωτικό Μάθημα

EEI 312 Electronics II (6 ECTS)

Υποχρεωτικό Μάθημα

EEI 331 Probabilities and Random Processes

Μάθημα Περιορισμένης Επιλογής

EEI 450 Electrical Installations (6 ECTS)

Υποχρεωτικό Μάθημα

EEN 112 Electrical Circuits Analysis II (6 ECTS)

Υποχρεωτικό Μάθημα

EEN 212 Digital Systems (6 ECTS)

Course Purpose and Objectives

The objectives of this course are:

• Study and understanding of the basic functional principles of Digital Systems and Circuits, their parameters, their design constraints and the technologies for their implementation and design.

• The thorough study and detailed understanding of the main issues and concepts for designing combinational and sequential logic circuits as well as their optimal design and the various implementation parameters.

• Understanding of the programmable logic devices with an emphasis on FPGAs and introduction to describing digital circuits and systems using HDLs

• Analysis and design of counters (synchronous and asynchronous) and registers.

•Analytical study and understanding of State Diagrams design and implementation of the respective FSM State Machines.

• Analytical study and detailed understanding of the operations of basic types of RAM (SRAM, DRAM) and ROM.

Learning Outcomes

At the end of this course the students will have understood the basic principles, parameters and limitations of digital systems design and implementation of the corresponding circuits as well as how to evaluate and compare various designs and implementations.

Students will also have acquired the necessary knowledge to design and optimize digital systems, having studied extensively the design of combinational and sequential circuits, as well as FSM State Machines.

In addition, they will have understood the basic principles of various programmable logic devices, especially FPGAs, and will have acquired some basic knowledge of circuit design with HDL languages.

In addition, they will be able to design counters and registers according to the needs of their applications.

Finally, they will know the functions and operations of the basic types of semiconductor memories (RAMs, ROMs) and their specific characteristics.

Course Content

Integration Technology and Advantages, Integrated Circuits (ICs) Logic Families, Critical Path, Integration Area and Power Dissipation, Noise and Noise Margins, Fan-out, Logic Gates Implementation in TTL, CMOS, CMOS Logic Function Design and Power Consumption, CMOS Transistor Sizing, Transmission Gates, CMOS Physical Layout.

Combinational Logic: Design of Combinational circuits, Design with CAD tools and Hardware Description Languages(HDL), Basic Combinational logic functions and circuits: Adders (Ripple Carry Adder, Carry Look-Ahead Adder, Carry Select Adder), Subtractor, Add/Sub circuit, Multiplexers, Demultiplexers, Comparators, Priority Encoders, Decoders and other digital circuits, Combinational Logic ICs Hierarchical Design and Cascade Extension, Applications of Combinational Circuits.

Programmable Logic Devices: ROMs, PLAs, PALs, CPLDs, FPGAs and Digital Design Implementation, Design Simulation and Debugging, Performance Estimation and Implementation Area

Sequential Logic Circuits: Latches, Master-Slave, D, J-K and T Flip Flops, Set and Reset Signals (Synchronous and Asynchronous), Operating conditions and Timing of Flip Flops, Special Design Issues for Flip Flops, Flip Flop ICs and Applications.

Synchronous and Asynchronous Counters: Binary, Decimal, Modulo-n, Methodology for Synchronous Counter Design: General Case, Counters ICs and Counting Extension (Cascade), Sequential Design with Hardware Descriptive Language (HDL).

Registers: Parallel Load, Shift Register, Serial or Parallel Input / Serial or Parallel Output, Multi-Function Shift Register, Registers-Counters (Johnson Counter)

Finite State Machines: State Diagram, Mealy and Moore State Machine Circuits, Design Methodology and Examples.

Semiconductor Memories: Typical Memory Internal Memory, Memory Features, Memory Storage Cells-Organization-Adressing-Read and Write Operations in SRAMs and DRAMs, Read-only memory, EEPROM, Flash.

Υποχρεωτικό Μάθημα

EEN 213 Electrical Circuit Design Lab I (5 ECTS)

Υποχρεωτικό Μάθημα

EEN 214 Electronics I (6 ECTS)

Υποχρεωτικό Μάθημα

EEN 215 Electrical Laboratory II (5 ECTS)

Course Purpose and Objectives

The objectives of this course are:

• Students to gain hands-on experience in digital circuit design and in usage of integrated ICs both in educational boards and with CAD tools in FPGAs.

• To acquire practical knowledge and to practice the necessary design approaches for designing systems such as reusability, hierarchical design, abstraction levels, etc.

• Students should acquire practical knowledge and practice simulation techniques and debugging both during the design phase.

• The study and understanding of the basic functional principles of Digital Systems and Circuits, their parameters, their design constraints and the technologies for their implementation and design, as well as the way of their interconnection.

• The use and understanding of the structure and utilization of FPGA devices, the schematic description of combinational and sequential logic circuits, as well as the introduction to the description of digital circuits and systems with hardware languages (HDL).

• Implementation in educational boards as well as with CAD tools in FPGAs, while understanding the basic operation principles, of combinational and sequential logic design, as well as their optimal design and the various implementation parameters.

• Analysis, design and implementation of counters (synchronous and asynchronous) both in educational boards and with CAD tools in FPGAs.

Learning Outcomes

At the end of this course the students will have learned to:

-Implement combinational and sequential logic circuits in both CAD tools (ALTERA QUARTUS II software) with final implementation in FPGAs as well as in educational boards.

-Use the ALTERA QUARTUS II software to design and simulate digital circuits and to finally implement their designs in FPGA boards.

-Make excellent use of the laboratory equipment for their experimental designs such as breadboards, ICs, Signal generators, multimeters, digital oscilloscopes, etc.

-Use design techniques to efficiently implement large designs by managing the complexity of designs and assessing the advantages / disadvantages of each design approach.

-Perform efficiently simulations and debugging of their designs during the design phase.

-Design and implement ad-hoc counters (synchronous and asynchronous) on both FPGAs and educational boards, according to the needs of their applications.

-Design basic digital circuits using hardware description language (VHDL) and implement in FPGAs

Course Content

Introductory course to lab equipment, familiarization with basic logic gates and design and implementation of combinational circuits with SSI and MSI ICs ın breadboards. Familiarization with Flip Flops: S-R flıp flop, D flıp flop, J-K flıp flop. Preset and Clear functıons. Design and implementation of digital sequential circuits with SSI and MSI ICs in educational breadboards: Registers, Synchronous and Asynchronous Counters. Introductory course to design software ALTERA Quartus II, to programmable logic devices and implementations of digital circuits on FPGA. Design and FPGA implementation of combinational circuits: Adders, Comparators, Multiplexers, Encoders/Decoders, Hierarchical and Cascade Design. Design and FPGA implementation of sequential circuits: S-R flıp flop, D-Type flıp flop, J-K flıp flop, Asynchronous and Synchronous counters. Hierarchical design and FPGA implementation of Arithmetic and Logic Unit (ALU). Introduction to HDL. Design and FPGA implementation of combinational and sequential circuits with VHDL. Hierarchical design using HDL and FPGA implementation of Arithmetic and Logic Unit (ALU). Advantages and disadvantages of levels of abstraction: comparison of ALU alternative designs.

Prerequisites

EEI 132 - Digital Systems

EEN 216 Biomedical Engineering

Υποχρεωτικό Μάθημα

EEN 311 Control Systems (6 ECTS)

Υποχρεωτικό Μάθημα

EEN 313 Electrical Laboratory III (5 ECTS)

EEN 315 Introduction to Medical Imaging

Υποχρεωτικό Μάθημα

EEN 316 Electromagnetism (6 ECTS)

Υποχρεωτικό Μάθημα

EEN 317 Communication Systems (6 ECTS)

Υποχρεωτικό Μάθημα

EEN 318 Digital Signal Processing (6 ECTS)

Course Purpose and Objectives

Students should assimilate the necessary theoretical and practical knowledge about the various phases in digital processing of one-dimensional and two-dimensional digital signals. Design and analysis of digital systems and their applications / implementations using programming. The course is offered through a combination of lectures, exercises and programming workshops.

Learning Outcomes

Gain comprehensive knowledge of signal analysis, specifications, operation, design, analysis and programming of digital systems. Also obtain knowledge of discrete-time systems and properties, continuous and discrete Fourier transform and applications. Introduction to the design of finite and infinity digital filters (FIR and IIR) impulse response.

Prerequisites

EEN_231 Signals and Systems

Course Content

The course is based on the basic elements of the analysis and processing of digital signals and systems, offered in the prerequisite course, and has as its main objectives the following:

Recapitulation on signals, systems, sinusoidal sampling. Aliansing and folding. Sampling theorem.
Discrete-time systems and properties. Impulse response. Convergence. Application in MATLAB environment.
Series, Fourier transform and properties. System Frequency Response. Finite and Infinite Impact Response Systems (FIR, IIR). Applications in MATLAB environment.
Frequency response of FIR and IIR systems. Linear phase.
Frequency sampling. Discrete Fourier transform. Applications in MATLAB environment.
Fourier discrete transform properties and applications. Signal spectrum analysis. Circular convolution.
Introduction to digital filters. Design of FIR filters using windows. Applications in MATLAB environment.
Design of FIR filters by frequency sampling.
Z-Transform. Implementation in MATLAB environment.
Design of IIR filters.
Implementation of discrete time systems.

The following chapters are covered:
Sampling of sinusoids signals. Sampling theorem.
Discrete-time systems and their properties.
Fourier Series and Fourier Transform and Properties. Finite and Infinite convolution (Response) Systems (FIR, IIR).
Frequency sampling. Discrete Fourier transform. Circular convolution.
Introduction to digital filters. Design of FIR filters using windows and frequency sampling.
Transformation Z.
Design of IIR filters

Υποχρεωτικό Μάθημα

EEN 319 Electrical Laboratory (IV) (5 ECTS)

Υποχρεωτικό Μάθημα

EEN 320 Introduction to Electric Power Systems (6 ECTS)

EEN 411 Capstone Design I

EEN 412 Capstone Design II

EEN 413 Introduction to Photonics

Course Purpose and Objectives

Photonics 441 is a four hour per week course designed to give an understanding of the many facets of photonics.

Learning Outcomes

Detailed knowledge of Photonics.

Prerequisites

Electromagnetism

Course Content

1. Introduction to Photonics and Optical Communication

Overview of photonics and the applications in different areas such as information technology and communications, healthcare, life sciences, optical sensing, lighting, energy and manufacturing. The evolution of light-wave systems will be discussed before the basics of optical communications systems will be introduced.

2. Nature of light and the production of EM radiation for photonics applications

i) Wave Nature of Light

Light waves in homogeneous media. Refractive index. Group velocity and group index. Magnetic field, Irradiance and Poynting vector. Snell's law and total internal reflection. Fresnel's equations. Multiple interference and optical resonators. Temporal and spatial coherence. Diffraction principles. Polarisation. Methods to define the characteristics of light mathematically (Stokes parameters, Jones vectors & matrices) and how to determine these characteristics.

ii) Optical sources and transmitters

Principles of light emission and amplification in semiconductors, light emitting diodes, semiconductor lasers (edge emitting lasers and VCSELs).

Semiconductor science and light emitting diodes (LED). Semiconductor concepts and energy bands. Direct and indirect band-gap semiconductors: E-k diagrams. P-n junction principles and band diagram. LED and materials. Heterojunction high intensity LED and characteristics. Steady state semiconductor rate equation. LED for Optical fibre communications. Single frequency solid state lasers. Quantum well devices. Optical amplifiers.

3. Optical waveguides

The propagation of light in optical waveguides.

Dielectric waveguides and optical fibres. Symmetric planar dielectric slab waveguide. Modal and waveguide dispersion in the planar waveguide. Step index fibre. Numerical aperture. Dispersion in single mode fibres. Bit-rate, dispersion and optical non-linearities, Electrical and optical bandwidth. Graded index optical fibre. Attenuation in optical fibres-light absorption and scattering. Fibre manufacture.

4. Optical detectors and receivers

The detection of light and the demodulation of light including

photoconductors, photodiodes and receiver systems.

Principle of the p-n junction photodiode. External photocurrent. Absorption coefficient and photodiode materials. Quantum efficiency and responsivity. The pin, avalanche and heterojunction photodiodes. Phototransistors. Photoconductive detectors and photoconductive gain. Noise in photodetectors. Generic system issues: sources of noise and signal-to-noise ratio, limitations on temporal response and effective bandwidth.

5. Imparting information onto EM radiation & communication techniques

i) Basic modulation principles

Polarisation and modulation of light. Light propagation in anisotropic media: birefringence. Birefringent optical devices. Optical activity and circular birefringence. Electro-optic effects. Integrated optical modulators. Acousto-optic modulator. Magneto-optic effects. Non-linear optics and second harmonic generation.

ii) Modulation

Acousto-optic and electro-optic techniques, LED switching, analogue and digital techniques using lasers, AM, FM, phase modulation techniques

6. Applications for light-wave systems

A summary of important concepts of digital communication including base band and broadband digital transmission, bit error rate, bit group error rate and time division multiplexing (TDM) and wavelength division multiplexing (WDM). Trends and new directions in photonic applications

i) Noise and detection

Noise arising from the properties of fibres, transmitters, receivers and amplifiers as well as the determination of the bit error rate.

ii) Optical MUX and DEMUX

The operating principle of multiplexers and demultiplexers. Different optical devices, essential to optical networks, optical amplifiers, polarisation control devices, optical isolators, optical filters and diffraction gratings, modulators and switches.

iii) Optical systems design

Design process for a point-to-point optical links.

Μάθημα Περιορισμένης Επιλογής

EEN 443 Power Electronics (6 ECTS)

Course Objective

For the student to understand the function and characteristics of power converters for specific applications
To fully analyze the basic power electronic circuits
To understand and prepare specifications
To design assemblies that include power electronics at system-level
To design power converters at circuit level
To get to know and appreciate the new trends in power electronics

Learning results

Acquiring comprehensive knowledge about the analysis, specification, operation, design and implementation of Photovoltaic systems. Knowledge of Wind Turbines operation and the basic site selection parameters.

Ability to follow developments in their field.

Prerequisites

EEN 312 Electronics II

Course Content

Semiconductor Power Switches

Ideal power switch. Construction, operation and switching characteristics, transition delay from cut-off state to conduction state and vice versa of semiconductors: Rectifier Diode, Thyristor, Contact Transistor, Power MOSFET Transistor, IGBT and others. Power losses due to time delays.

Topology and Operation of Converters

Five basic Power Electronics circuits (AC/DC, DC/DC, DC/AC, AC/AC and Active Filters): Operation with reference to the modes and input-output voltage relationships and duty-cycle of semiconductors. Generation and description of relevant voltage and current waveforms.

Analysis (and PSICE/PSIM simulation) of Power Electronic Circuits

Voltage and current relationships at all points of the five basic circuits in the Permanent Response (Fourier – Switching Function). Extraction of input - output harmonics and average output value. Transient Response (simulation)

Output/input quality (mains pollution): Calculation of Power Factor, Distortion Factor, THD, Generation of input-output Frequency Spectrum.

Applications

Limited presentation of applications in Photovoltaic and wind turbine systems, FACTS

New Trends:

Description of new trends and new systems in Power Electronics

Μάθημα Περιορισμένης Επιλογής

EEN 444 Digital Image Processing (6 ECTS)

Course Purpose and Objectives

Students will integrate in this course the necessary theoretical and practical knowledge around the various phases in designing and implementing high performance digital image integration systems with design automation tools. This will be accomplished through a combination of lectures, exercises and workshops.

Learning Outcomes

Acquire comprehensive knowledge of the basics of image processing, analysis, compression, transfer and segmentation, for 2D and 3D digital signals (image and video). Design and analysis of 2D digital image filters.

Prerequisites

ΕΕΝ 318 – Digital Signal Processing

Course Content

The course is based on the basic elements of digital signal processing and analysis offered in the prerequisite course and has as its main objectives:

Introduction to the basics of 1-dimensional and 2-dimensional digital signal theory and methods (image and video)
use of programming in Python/Open CV environments to implement and design integrated systems for image analysis.
gain full-time experience in the process of editing and analyzing digital image analysis systems using a computer, through laboratory exercises
Upon completion of the course, students will be expected to have a good knowledge of 2-D signal analysis and processing, the basic concepts and application areas of digital image processing, to understand the operation of basic multimedia image coding standards and to be able to use their programming experience for the development of image and video editing programs. Also be able to use image processing algorithms and appropriate techniques to solve specific problems.

The following chapters are covered:

1. Course introduction: Recovery, storage, transfer, image editing. Image illustration geometry

2. Binary Image Processing

3. Image Histogram and Point Functions

4. Discrete Fourier Image Transformation

5. Linear Image Filtering and Image Transformations,

6. Nonlinear Picture Filtering

7. Image Compression, JPEG, PACS: Image Encoding, Compression Templates (MP3, JPEG, JPEG2000 etc.)

8. Image Analysis I: Image correction and segmentation, edge detection.

9. Image Analysis II and Introduction to Digital Video Editing

Μάθημα Περιορισμένης Επιλογής

EEN 445 Renewable Energy Sources (6 ECTS)

Μάθημα Περιορισμένης Επιλογής

EEN 446 Wireless Communications (6 ECTS)

Μάθημα Περιορισμένης Επιλογής

EEN 448 Advanced Digital Signal Processing (6 ECTS)

Μάθημα Περιορισμένης Επιλογής

EEN 451 Digital Communications (6 ECTS)

Υποχρεωτικό Μάθημα

EEN 452 Control and Operation of Electric Power Systems

EEN 490 Practical Training

Μάθημα Περιορισμένης Επιλογής

EEN 512 Advanced Digital Signal Processing I

Μάθημα Περιορισμένης Επιλογής

EEN 544 Advanced Digital Signal Processing II

Υποχρεωτικό Μάθημα

EEΙ 104 Linear Algebra (5 ECTS)

Υποχρεωτικό Μάθημα

EEΝ 331 Probability Theory and Stochastic Processes

Υποχρεωτικό Μάθημα

ENN 105 Physics II

Υποχρεωτικό Μάθημα

EΕN 202 Physics III

HM 556 Control and Operation of Electric Power Systems (8 ECTS)

LCE 113 English for Academic Purposes: Electrical Engineering

Course Purpose and Objectives

LCE 113 is a three-hour per week course, particularly designed to support Electrical Engineering Computer engineering and Informatics students’ studies. Its general objective is to enable students to communicate competently at a B1-B2 level of the Common European Framework of Reference (CEFR) for Languages on issues related to students’ social and student life (university, curriculum, field of study), as well as on issues related to their future professional careers (occupations, short CV, etc.). Computer Assisted Language Learning (CALL) and culture awareness development are done through communicative situations deriving from authentic-like communication situations students may experience in their lives, during their studies and professional careers. Language competence is acquired through the use of text types, scenarios, and roles which promote the production and understanding of spoken and written language related to the topics covered.The course is based on post communicative era method, a student-centered, blended learning approach, and aims to familiarize students with authentic reading material related (a) to general topics such as university student life, learning styles and language learning, (b) to academic topics such as how to study effectively, take notes and use the appropriate reference style and (c) to specific topics related to the field of Electrical Engineering Computer engineering and Informatics. This material is used to develop students’ skills in text comprehension and analysis, note taking and processing as well as acquaint students with writing styles, such as process, description and argumentation. It also develops students’ listening and speaking skills. Learners are expected in this way to develop their speaking and listening abilities by taking an active part in tasks such as dialogues, conversations, and oral presentations based on real life situations related to their academic and professional environments. The course is based on current learning theories, such as constructivism and social constructivism, and it aims at developing students’ language skills, as well as transferrable 21st century skills, such as communication, digital literacy, collaboration, creativity, innovation, critical thinking, intercultural awareness, autonomy and lifelong learning.

Learning Outcomes

Students will develop their language skills through communicative circumstances, scenarios and roles based on authentic situations of their social and student life (university, directions for access to university premises/buildings, field of study), as well as issues related to their future professional careers (workplace, potential professions, duties, and Electrical Engineer’s CV. Furthermore, students will also be able to communicate competently at a B1-B2 CEFR level (production and understanding of spoken and written language) on the aforementioned topics, through relevant and related text types, scenarios, and roles and for specific purposes
Students will use grammatical structures i.e. tenses, syntax, relevant to topics and communication tasks in order to ddemonstrate awareness of the writing process and be able to produce coherent and grammatically correct language at various levels (from paragraph to more extended texts)
Students will write texts of different types (reports, summaries) and rhetoric styles (description, process) at an academic level,
develop the ability to paraphrase, summarise, quote and avoid plagiarism.
Students will demonstrate their ability to listen and comprehend conversations, interviews, lectures and public speeches in order to identify the main points and respond appropriately by collecting and evaluating information from various sources (e.g. internet) before using it to support an argument in various forms of communication such as report writing, presentations etc.
Students will communicate effectively with the use of information and communication technologies. Students will also be able to demonstrate creativity, critical thinking and intercultural awareness though language use by applying 21st century skills, such as communication, digital literacy, collaboration, creativity, innovation, critical thinking, intercultural and global awareness and active citizenship, autonomy and lifelong learning.

Course Content

Studying Electrical Εngineering- skills and competencies
The Cyprus University of Technology – Identity/ Profile
University student digital profile
Careers in Electrical and Computer engineering
How do we study best? Academic skills development
Digital literacy
The Information age
Computer users
Graphical User Interfaces
Multimedia
Networks
The World Wide Web
Communications systems
Robotics
Software Engineering
Academic Articles in Electrical and Computer engineering
Bibliographic references, paraphrasing and avoiding plagiarism
Academic Skills: learning styles, text types, rhetorical modes, title types, introduction, paragraph and conclusion writing, cohesion, coherence & clarity,
Library skills: bibliographical references, paraphrasing, summary, avoiding plagiarism
Dictionary (monolingual, bilingual) skills

LCE 114 English for Academic Purposes: Electrical Engineering

Course Purpose

LCE 114 is the second part of a three-hour per week course, particularly designed to support Electrical Engineering students’ studies. Its general objective is to enable students to communicate competently at a B1-B2 level of the Common European Framework of Reference (CEFR) for Languages on issues related to students’ social and student life (university, curriculum, field of study), as well as on issues related to their future professional careers (occupations, short CV, etc.). Computer Assisted Language Learning (CALL) and culture awareness development are done through communicative situations deriving from authentic-like communication situations students may experience in their lives, during their studies and professional careers. Language competence is acquired through the use of text types, scenarios, and roles which promote the production and understanding of spoken and written language related to the topics covered.

The course is based on post communicative era method, a student-centered, blended learning approach, and aims to familiarize students with authentic reading material related (a) to general topics such as university student life, learning styles and language learning, (b) to academic topics such as how to study effectively, take notes and use the appropriate reference style and (c) to specific topics related to the field of Electrical Engineering Computer engineering and Informatics. This material is used to develop students’ skills in text comprehension and analysis, note taking and processing as well as acquaint students with writing styles, such as process, description and argumentation. It also develops students’ listening and speaking skills. Learners are expected in this way to develop their speaking and listening abilities by taking an active part in tasks such as dialogues, conversations, and oral presentations based on real life situations related to their academic and professional environments. The course is based on current learning theories, such as constructivism and social constructivism, and it aims at developing students’ language skills, as well as transferrable 21st century skills, such as communication, digital literacy, collaboration, creativity, innovation, critical thinking, intercultural awareness, autonomy and lifelong learning.

Learning Outcomes

Develop their language skills through communicative circumstances, scenarios and roles based on authentic situations of their social and student life (university, directions for access to university premises/buildings, field of study), as well as issues related to their future professional careers (workplace, potential professions and duties) and are able to communicate competently at a B1-B2 CEFR level (production and understanding of spoken and written language) on the aforementioned topics, through relevant and related text types, scenarios, and roles and for specific purposes
Produce coherent and grammatically correct language at various levels (from paragraph to more extended texts) and are able to write texts of different types e.g. (reports, summaries) and rhetoric styles (description, process) at academic level.
Collect and evaluate information from various sources (e.g. internet) before using it to support an argument in various forms of communication such as report writing, presentations etc.
Communicate effectively with the use of information and communication technologies
Demonstrate creativity, critical thinking and intercultural awareness though language use and apply 21st century skills, such as communication, digital literacy, collaboration, creativity, innovation, critical thinking, intercultural and global awareness and active citizenship, autonomy and lifelong learning

Prerequisites

LCE 113

Course Content

Studying Electrical and Computer engineering- skills and competencies

• University student digital profile

• Digital literacy

• Electrical Power Generation and transmission and distribution

• Signal Processing

• Communications systems

Signal Processing
MEMS
Virtual Reality

• Academic Articles and academic writing for Electrical Engineers

• Bibliographic references, paraphrasing and avoiding plagiarism

• Academic Skills: learning styles, text types, rhetorical modes, title types, introduction, paragraph and conclusion writing, cohesion, coherence & clarity,

• Library skills: bibliographical references, paraphrasing, summary, avoiding plagiarism

Dictionary (monolingual, bilingual) skills

Υποχρεωτικό Μάθημα

LCE 115 English for Academic Purposes (4 ECTS)

Υποχρεωτικό Μάθημα

ΑΓΓ 163 English for Computer Scientists and Engineers

Υποχρεωτικό Μάθημα

ΕΕΝ 111 Electrical Circuits Analysis I

ΕΕΝ 211 Engineering Economic Analysis

Course Objectives

It will help Electrical Engineers to understand the basic principles of business management such as modern management methods, leadership, work organization, teamwork, management and quality systems, human resource utilization.

Additionally, the main purpose of the course is to provide students with knowledge about the structure, processes and financial management of business organizations as well as the rational understanding of the economic and social environment in which these businesses operate.

Learning results

Upon successful completion of the course, students will be able to:

1. Understand the basic principles of Management, Finance and the role of the Engineer. Recall the main terminologies, meanings and considerations of the economic and social business environment, the main scientific theories of management, the management of human resources, teamwork, leadership, and the management of the company's finances. 2. Know what standardization, certification, EU directives are and the importance of standards in Engineering. 3. Identify the main activities and what affects them, the options they have and be able to interpret how these can affect the efficiency and effectiveness of the business. Study and understand the basic financial characteristics of an investment and learn investment evaluation methods. 4. Discuss, using appropriate terminology and vocabulary, issues related to management, financial management and business behavior in engineering organizations. 5. Distinguish the different styles of financial management and recognize how they will contribute positively to effective management. 6. Give effective recommendations in solving specific administrative, financial and business problems taking into account the requirements of sustainability and corporate responsibility. 7. Understand and manage simple financial matters and calculations.

Course Content

Origin and development of modern management and modern business organization, Total Quality Management, Standardization and certification, Leadership, Economic management, Business environment, Investment plans and timing, Key features of investments, Financing, Equity capital, Reserve funds, Business Venture capital, Foreign and outside financing, Undertaking of merchandise receivables FACTORING, Forfaiting, Concession – Franchising, Cash flow– time relationship and equivalence, Applications of cash flow and time relationships, Price changes inflation, Risk Management, Business and corporate liability, Tax issues.

Υποχρεωτικό Μάθημα

ΕΕΝ 314 VLSI Systems Design

Course Objective

For students to assimilate the necessary theoretical and practical knowledge around the various phases in the design and implementation of digital integrated systems with high performance requirements with design automation tools and hardware description languages, through a combination of lectures, exercises and workshops.

Learning results

Gain comprehensive knowledge around the analysis, specification, operation, design and implementation of very large scale integration (VLSI) digital integrated systems with high performance requirements, with design automation tools and hardware description languages. It also offers an introductory refresher on basic digital logic concepts.

Course Content

The course builds on the fundamentals of logic circuit design offered in the prerequisite course and has as its main objectives:

the introduction to the design of combinational and sequential digital circuits
the use of the Verilog hardware description language for their modeling and simulation as well as their implementation
the implementation of digital systems in programmable logic devices (CPLDs and FPGAs)
the study of the different types of memory used in computer systems
gaining experience in the full cycle of the process of designing, simulating and implementing digital systems using modern computer tools through laboratory exercises

The following sections-chapters are covered:

Logic gates, memory elements, combinational logic
Two-level/multi-level implementation of logic functions, Combinational circuits (multiplexers, encoders, decoders), numerical combinational circuits (fast adders, multipliers, dividers, sliders)
Sequential logic (registers, latches)
Serial circuits (counters, shift registers, parallel load registers)
Finite State Machines (FSMs).
Verilog language (basics, behavioral, register transfer layer, structured code style)
Representation of combinational circuits in Verilog
Representing sequential circuits in Verilog
Advanced Logic Design
Design digital circuits with schematic input
FPGA/ASIC Design Flow
Design Automation Tools
Simulation and verification of logic circuits (Verilog testbenches)
Logical Synthesis of combinational and sequential circuits
Placement and Routing
Error models
BJT and MOSFET models as switches
CMOS implementation, VLSI layout, stick diagrams
Redefining architectures, FPGA technology.
Integrated circuit technologies
Clocks, delays, distribution networks, synchronization, metastability issues
SRAM, DRAM, Buses
Piping, parallelism, performance gain

Μάθημα Περιορισμένης Επιλογής

ΕΕΝ 442 Power Systems II (6 ECTS)

ΕΕΝ 456 Design of Embedded Systems with FPGA SoC

Υποχρεωτικό Μάθημα

ΗΜ 511 Digital Communications

Υποχρεωτικό Μάθημα

ΗΜ 512 Advanced Digital Signal Processing I

Υποχρεωτικό Μάθημα

ΗΜ 513 Systems Theory and Automatic Control (8 ECTS)

Το μάθημα έχει ως σκοπό να ασχοληθεί με διάφορες θεμελιώδεις θεωρίες και τεχνικές που αφορούν την ανάλυση, μοντελοποίηση και έλεγχο δυναμικών συστημάτων και στοχαστικών μοντέλων. Οι τεχνικές αυτές δίνουν τη δυνατότητα να μπορεί να εγγυηθεί κάποιος την ευστάθεια ενός συστήματος και να βελτιστοποιήσει τη απόδοση του, γι’αυτό και είναι σημαντικές σε πολλούς κλάδους όπως δίκτυα πληροφοριών (π.χ. Internet congestion control, routing, power control in wireless networks), μηχανική/ηλεκτρολογία (power system stability, robotics, process control), οικονομικά μοντέλα, και μοντέλα ανάλυσης βιολογικών συστημάτων. Πιο συγκεκριμένα, τα θέματα που θα μελετηθούν περιλαμβάνουν εισαγωγή στη θεωρία μη γραμμικών συστημάτων, απόδειξη ευστάθειας χρησιμοποιώντας τεχνικές Lyapunov και Lasalle, εισαγωγή στις μεθόδους εισόδου/εξόδου και παθητικότητας. Κατά τη διάρκεια του μαθήματος θα δοθούν παραδείγματα από τις εφαρμογές που αναφέρθηκαν πιο πάνω. Ακολούθως θα μελετηθούν μέθοδοι βέλτιστου ελέγχου δυναμικών συστημάτων. Θα δοθεί εισαγωγή στη μέθοδο του δυναμικού προγραμματισμού, και θα μελετηθούν προβλήματα βέλτιστου ελέγχου γραμμικών συστημάτων (LQ optimal control) και γραμμικών στοχαστικών συστημάτων (LQG control). Προαπαιτούμενο υπόβαθρο: βασικές γνώσεις σε εισαγωγικά θέματα πιθανοτήτων και γραμμικής άλγεβρας.

Υποχρεωτικό Μάθημα

ΗΜ 514 Advanced Topics in Power Systems (8 ECTS)

Υποχρεωτικό Μάθημα

ΗΜ 515 Research Methodology (7 ECTS)

Μάθημα Περιορισμένης Επιλογής

ΗΜ 541 Power Electronics and Renewable Electricity Sources

Το μάθημα απευθύνεται σε αποφοίτους που θέλουν να γνωρίσουν σε βάθος τα σημαντικά θέματα εφαρμογής και έρευνας που αφορούν την αποδοτική εξαγωγή ενέργειας απευθείας από τον Ήλιο και τον Άνεμο. Ο ρόλος και η λειτουργία των Ηλεκτρονικών Ισχύος σε αυτά τα συστήματα θα παρουσιαστεί στην πιο προχωρημένη από πλευράς τεχνολογίας μορφή τους. Έτσι οι φοιτητές που ενδιαφέρονται να προχωρήσουν σε ερευνητικά προγράμματα PhD θα έχουν την ευκαιρία ενημερωθούν και να γνωρίσουν επίκαιρα θέματα έρευνας. Το μάθημα επίσης απευθύνεται σε Μηχανικούς ή υποψήφιους Μηχανικούς που θέλουν να ειδικευθούν στα Φωτοβολταϊκά και Αιολικά συστήματα. Ο αριθμός αυτών των συστημάτων αυξάνεται και στην Κύπρο και υπάρχει η ανάγκη για υψηλά ειδικευμένο προσωπικό. Θα μελετηθούν τα ακόλουθα αντικείμενα: Σε βάθος διερεύνηση του Ανέμου και του Ήλιου σαν πηγών ενέργειας; Παρουσίαση τεχνολογιών Φωτοβολταϊκών παλαιών και νέων; Παρουσίαση τεχνολογιών Ανεμογεννητριών-Συνδεσμολογιών παλαιών και νέων; Παρουσίαση τεχνολογιών Ανεμογεννητριών και Νέων Συνδεσμολογιών; Προχωρημένη ανάλυση και λειτουργία Αντιστροφέων αμφίδρομης λειτουργίας; Συστήματα Εγκλωβισμού Σημείου Μέγιστης Ισχύος; Υψηλή Απόδοση και Μετρήσεις; Μετατροπείς σε Σειρά; Μετατροπείς Πολλαπλών Επιπέδων; Νέοι Ημιαγωγοί; Απόσβεση Αρμονικών και Παραγωγή Άεργου Ισχύος; Ροή και Έλεγχος Πραγματικής και Άεργου Ισχύος; Αποθήκευση ενέργειας; Σύνδεση Αιολικών Πάρκων στο Δίκτυο; Οικονομική Ανάλυση; Παράμετροι Σχεδιασμού Φωτοβολταϊκών και Αιολικών Συστημάτων; Προβλήματα Ηλεκτρομαγνητικής Ακτινοβολίας. Η θεωρία θα υποστηρίζεται από πειραματική εργασία. Ειδικοί Επιστήμονες και Μηχανικοί θα προσκληθούν να δώσουν εξειδικευμένες διαλέξεις. Θα γίνουν Βιομηχανικές Επισκέψεις.

Μάθημα Περιορισμένης Επιλογής

ΗΜ 542 Advanced Systems Theory and Automatic Control

Μάθημα Περιορισμένης Επιλογής

ΗΜ 543 Digital Image Processing

Μάθημα Περιορισμένης Επιλογής

ΗΜ 544 Advanced Digital Signal Processing II (7 ECTS)

Μάθημα Περιορισμένης Επιλογής

ΗΜ 545 Photonics (7 ECTS)

Μάθημα Περιορισμένης Επιλογής

ΗΜ 546 Wireless Networks Technologies

Υποχρεωτικό Μάθημα

ΗΜ 547 Advanced Topics in Mathematics for Engineers