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EE530: Linear Systems Analysis ECTS: 8 An introduction and review of Modern Control Systems: Introduce the concepts of: Stability Analysis of Linear Systems; Controllability and Observability; Time Invariant Systems; the Relationship between State Variable and Transfer Function Description of Systems; Design of Linear Feedback Control Systems using State and Output feedbacks; and Study the Effect of Feedback on System Properties; Pole Assignment Using State feedback; Partial Pole Assignment Using Static Output Feedback; Observers. EE561: Stochastic Systems and Estimation ECTS: 8 To provide an understanding of Stochastic Control Systems: Probability; Random Processes; Random Vectors; Conditional Expectations; Markov Processes; Wiener- Levy Process; and solution of Stochastic Differential Equations. Also, provide an understanding of Continuous Time Linear Stochastic Control Systems with Analysis of Causal LTI Systems and LQ Control Problem; Stochastic Dynamic Programming; Kalman-Bucy Filter; Optimal Prediction and Smoothing; and provide an understanding of the Stability of Deterministic Systems; Stability of Stochastic Systems. EE562: Advanced Digital Control Systems ECTS: 8 To provide an understanding of the state-space analysis and design of discrete-time control systems. Specifically, the derivation of state-space representations for continuous-time systems, solution of the state equations and the state transition matrix, properties. Introduce the concepts of Controllability, observability and stability via Lyapunov’s second method, and the state feedback controller design, full and reduced-order ob¬servers. EE563: Optimal Control Theory ECTS: 8 To provide an understanding of optimization in classical control; state variable representation of the system; the use of Dynamic Programming in optimal control problems; the use of the calculus of variations and the variational approach to optimal control problems: and applications of Pontryagin’s minimum principle in minimum time and minimum control effort problems. COMMUNICATIONS SYSTEMS SPECIALIZATION EE420: Digital Communication Systems ECTS: 8 Analysis and design of digital communication systems; source encoders; PCM; matched filter detectors; timing considerations; baseband systems; ASK; FSK; PSK; error analysis; design considerations. EE421: Coding for Communications ECTS: 8 Introduction to information theory; entropy coding; data compression; forward error detection and correction. By the end of this course students should have the: Ability to recognize standard mathematical and linear analysis techniques used in coding for communications; Knowledge of concepts of coding for communication; Knowledge of basic concepts of entropy and information theory; Capability to integrate computer use in course work; Capability to integrate computer use in design problem; Capability to explore technique for coding for data compression and for error control. EE422: Digital Signal Processing I ECTS: 8 Sampling theorem, A/D conversion. Discrete time linear time invariant systems. Ztransform, Fourier transform, Discrete Fourier, Fast Fourier Transform, frequency response. Digital filter design - FIR and IIR. Recursive and non-recursive designs. Implementation of digital filters. EE520: Advanced Digital Communications I ECTS: 8 Random Variables, Functions of Random Variables, Expectation and Introduction to Estimation, Random Vectors and Parameter Estimation, Random Sequences, Random Processes, Advanced Topics in Random Processes. Design, analysis and implementation of advanced communication links at the physical layer of the protocol stack. EE521: Advanced Digital Communications II ECTS: 8 Binary and M-ary hypothesis testing, ML and MAP rules. Representation of signals in function spaces. Transformation of detection problems into a geometric problem in function space. Linear modulation and coherent reception, liner modulation and incoherent reception, nonlinear modulation and coherent reception. Probability of error evaluation for various linear modulation schemes with coherent detection in AWGN (PAM, PSK, QAM). Linear modulation and incoherent detection, binary and M-ary FSK. Differential PSK modulation and detection. Transmission over linear filtering channels and ISI. Nyquist-I criterion for ISI elimination and system design based on zero-forcing, maximum SNR and minimum MSE, Recursive Least Squares (RLS). EE522: Principles and Applications of Signal Compression ECTS: 8 Elements of information theory (entropy, conditional entropy, mutual information, entropy rate). Quantization of continuous sources (elements of scalar quantization, companding, optimal quantization techniques, Lloyd-Max algorithm, elements of vector quantization). Introduction to rate-distortion theory and channel capacity; EE523: Wireless Communications ECTS: 8 Historical perspective on the development of wireless communication systems. Basic Concepts behind cellular wireless systems. Factors impacting system performance and capacity (CCI, ACI, Noise, Power control). Basics of traffic engineering and Erlang's formulas. Large scale path loss models. Small scale fading models. Diversity and combining techniques. CDMA principles. Modulation and equalization for fading channels. Channel coding. DESCRIPTION OF COURSES REQUIRED IN ALL SPECIALIZATIONS EE597: Graduate Research ECTS: 10 Methodologies needed for a successful research project proposal, planning, implementation, and presentation. Before the end of this subject the students must consult with the academic staff and decide on the topic of their research project. By the end of the Graduate Research subject, the students must submit and present to his assessment committee a proposal for his Master’s Thesis. In this proposal, the student is expected to propose the topic of his project, provide detailed objectives, give a literature review on the issues related to the project, and suggest a methodology and planning for the implementation of the project. EE598: Graduate Directed Study ECTS: 8 A student registered in this subject is expected to implement the methodology proposed in EE597 to implement his research project, according to the approved planning. By the end of the Graduate Directed Research subject the student must submit to his project advisor a progress report. The progress report is assessed by the project advisor, who decides whether the student can proceed with the preparation of the Thesis. EE599: Thesis ECTS: 8 After conducting their research work, students are expected to deliver a detailed project report that describes their research work and also present their project outcomes their project Assessment Committee, as well as defend their work against comments that the Committee makes. The Assessment Committee for each student consists of three members. Two of these members must be from the academic staff related to the specialization of the student, where one is the student’s project advisor and the other acts as the chair of the committee. The third member can be any member of the academic staff of the Program, or an external qualified person. MATH402A: Advanced Mathematics ECTS: 8 To provide the basic foundation mathematical background necessary for the design, analysis and implementation of advanced electrical and computer engineering systems: By the end of this course students should be able to understand the concepts of: Vector and Matrix Algebra ;Implicit functions and Jacobians; Infinite series ,Multiple integrals and differentiation of integrals; Taylor Series for several variables; Fourier series and boundary value problems; Laplace, Fourier and z-Transforms; Solution of ODE and Partial Differential Equations; Complex Functions and Complex Integration
Electrical Engineering 4 Years, Bachelor of Science, European Credit Transfer and Accumulation System, ECTS General Aim: The Electrical Engineering Program of Study is designed to enable students to make immediate contribution to industry and take responsibility of the development, design, construction, application and operation of devices and systems. The objectives of the program are: (a) To provide an understanding of scientific concepts and engineering laws and develop abilities to interpret and evaluate engineering problems. (b) To provide a broad based education in electrical and electronic engineering together with the relevant mathematics and support subjects. (c) To reinforce understanding of theory through laboratory application of logic and electrical circuits, transmission and modulation theory, electrical machines and transformers, three phase distribution techniques, robotic systems, electronics and microprocessors. (d) To provide the necessary knowledge to students enabling them to carry out consultation services. (e) To furnish students with knowledge on specialized subjects based on the area of interest of individual students concerned. Laboratories The Electrical Engineering students mainly use the Laboratories. Students from other departmentIs who register for relevant subjects may also use the labs. All laboratories are housed in the basement of the main building and they are fully equipped to fulfill the objectives of the Program. There are five laboratories available to all Electrical Engineering students: - Analogue and Digital Systems Laboratory - Analogue and Digital Communications (Digital Signal Processing laboratory) - Power and Control Systems Laboratory - Computer Engineering Laboratory - Chemistry Laboratory (a) Analogue and Digital Systems Laboratory In this laboratory students’ carry out experiments related to AC/DC circuits, Electronics and Digital circuits. The laboratory is also used by the students for their projects. (b) Analogue and Digital Communications Laboratory In this laboratory students carry out experiments related to Analogue and Digital Telecoms oriented subjects. The laboratory is also used by the students for their project work. (c) Power and Control Systems Laboratory In this laboratory students carry out experiments related to machines, three phase distribution techniques, transformers and control systems. The laboratory is also used by the students for their project work. (d) Computer Engineering Laboratory Students use this laboratory to carry out experiments on digital systems, microprocessors, interfacing, microcontrollers, and automations and PLC. In this laboratory, students can also use a variety of computer programs related to electrical and computer engineering. Students also use this lab for their projects. (e) Chemistry Laboratory This laboratory is used by all engineering students to carry out experiments related to the chemistry subject ACHM111. All laboratories are equipped to achieve the objectives of the Program. Experiments are scheduled in such a way that each group of students is working on a different experiment. Students of the Department also have access to the <strong>University</strong>’s general purpose computer laboratories. These laboratories, with a total of 140 workstations, offer a wide variety of software including office applications, programming environments, mathematical packages. The laboratories provide high-speed Internet access and printing facilities and are accessible 08:00 to 21:00 daily. Professional Eligibility The Program graduates are eligible to register to the Technical Chamber of Cyprus.
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