Institute of Graduate Studies and Research

Electrical and Electronics Engineering (PhD)

Duration 5 Years
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About the Program

Electrical and electronic engineering is at the center of the high technology research and development activities. This program design and produce many equipment related to communication, health, security, comfort and good quality life conditions. In the Electrical and Electronic Engineering Ph.D. program students can carry out research and development activities in the fields of electrical power systems, telecommunications, circuits and systems, electromagnetic fields and microwave technology, and control and robotic systems. In the selected research area, students learn in-depth design and solution techniques with effective knowledge of equipment and methods. Students can create effective solutions by deeply understanding the design techniques that need to be applied for the refinement of projects in their chosen field of specialization, and they may have comprehensive knowledge of development tools and methods. For this purpose, students are able to access many well-known scientific sources online (such as IEEE, ACM, etc.) and thus acquire up-to-date knowledge through many scientific journals.

Education Opportunities

The program contains of research areas like communication technologies (coding techniques, modulation techniques, communication networks), electric energy production, transmission, distribution methods and techniques, electromagnetic fields and microwave techniques (micro-strip antennas, FDTD analysis, electromagnetic scattering), with signal and image processing (filtering methods, face recognition, video coding). Students develop themselves by enrolling in the courses they are interested in. In addition to being able to design with state-of-the-art devices, research and development can be done in the field of electrical and electronics engineering by using simulation methods by using the package programs which are ready to use in high-capacity computers. Students are provided with laboratory facilities for collecting and synthesizing experimental data and thus, obtaining many scientific results. In addition, students are gain experience in publishing the scientific studies they have conducted under the supervision of a faculty member.

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Career Areas

Graduates of this program; can easily find jobs in the private sector or in many public companies. They can also pursue careers in areas such as project definition, development, research and development (R&D), work measurement, material management, production planning and control, quality control and business administration and management, especially in high technology companies. The sectors they can work in include but are not limited to wireless communication systems, fiber optic communication systems, renewable energy sources, energy efficiency, design and production of electric cars, control and robot systems. In addition, students who have graduated from this program can have the opportunity to become a faculty member at a university.

Contact

Institute of Graduate Studies and Research
Graduate Sciences and Education Center, GE106
Tel: +90 392 671 1111 Extension: 2776
Institute E-mail: ciu-institute@ciu.edu.tr

Compulsory Courses

First Semester
ELECTIVE COURSE

Course code

EELE6X1

Credit

3

Theoretical

3

Practical

0

Ects

8
ELECTIVE COURSE

Course code

EELE6X2

Credit

3

Theoretical

3

Practical

0

Ects

8
ELECTIVE COURSE

Course code

EELE6X3

Credit

3

Theoretical

3

Practical

0

Ects

8
Second Semester
THESIS

Course code

EELE600

Credit

0

Theoretical

0

Practical

0

Ects

160
PHD QUALIFICATION

Course code

EELE650

Credit

0

Theoretical

0

Practical

0

Ects

20
SEMINAR

Course code

EELE690

Credit

0

Theoretical

0

Practical

0

Ects

4
ELECTIVE COURSE

Course code

EELE6X4

Credit

3

Theoretical

3

Practical

0

Ects

8
ELECTIVE COURSE

Course code

EELE6X5

Credit

3

Theoretical

3

Practical

0

Ects

8
ELECTIVE COURSE

Course code

EELE6X6

Credit

3

Theoretical

3

Practical

0

Ects

8
Philosophy of Science

Course code

PHIL601

Credit

3

Theoretical

3

Practical

0

Ects

8
This course will follow three main paths: Firstly it will introduce philosophy to doctoral students. The meaning of philosophy, its scope, its sub-branches and its different schools will be the subject topic of the first weeks. Then the course will focus on the relation of philosophy with the sources of knowledge and different sciences. Here, Rationalism, Empiricism and Intuitionism will be covered during the following weeks. In the remaining weeks the course will concentrate on philosophy of science and scientific ethics. Logical positivism, paradigm changes, falsificationism, the questions of “what is science”, “what is pseudo-science?”, “what is the relation between theory and reality?” are amongst topics that will be covered. Finally, the course will concentrate on ethical theories and will particularly cover scientific ethics.

Elective Courses

NEURAL NETWORKS MODELLING AND APPLICATIONS

Course code

EELE630

Credit

3

Theoretical

3

Practical

0

Ects

OPTICAL COMMUNICATION NETWORK

Course code

EELE611

Credit

3

Theoretical

3

Practical

0

Ects

SOLAR ENERGY SYSTEMS

Course code

EELE625

Credit

3

Theoretical

3

Practical

0

Ects

ADVANCED TOPICS IN IMAGE PROCESSING

Course code

EELE603

Credit

3

Theoretical

3

Practical

0

Ects

PROBABILITY THEORY AND STOCHASTIC PROCESSES

Course code

EELE612

Credit

3

Theoretical

3

Practical

0

Ects

ADVANCED POWER SYSTEM HARMONICS

Course code

EELE637

Credit

3

Theoretical

3

Practical

0

Ects

ADVANCED POWER ELECTRONIC SYSTEMS

Course code

EELE639

Credit

3

Theoretical

3

Practical

0

Ects

WIRELESS NETWORKS AND MOBILE SYSTEMS

Course code

EELE609

Credit

3

Theoretical

3

Practical

0

Ects

COMPUTER NETWORK TOPOLOGY

Course code

CMPE624

Credit

3

Theoretical

3

Practical

0

Ects

Principles of computer network design. Network design and optimization algorithms. Centralized network design, switching node location problems. Application of minimum spanning tree and shortest path algorithms to problems in network design. Static and dynamic routing algorithms. Network reliability analysis in design. Ad-hoc and cellular wireless network design. Case studies.
INTEGRATION OF RENEWABLES

Course code

ENRE512

Credit

3

Theoretical

3

Practical

0

Ects

FUNDAMENTALS OF ENERGY SYSTEMS OPTIMIZATION

Course code

ENRE533

Credit

3

Theoretical

3

Practical

0

Ects

ADVANCED TOPICS IN SOFTWARE ENGINEERING

Course code

CMPE555

Credit

3

Theoretical

3

Practical

0

Ects

The main topics discussed in this course are development methodologies and design patterns. Software life cycle phases like requirements, design, implementation, testing and deployment will be discussed with methodologies like Waterfall, prototyping and Extreme Programming. Also design patterns like creational, structural and behavioral patterns will be evaluated.
DIGITAL IMAGE PROCESSING

Course code

EELE526

Credit

3

Theoretical

3

Practical

0

Ects

0
Digital Image Fundamentals. Elements of Visual Perception. Light and the Electromagnetic Spectrum. Image Sensing and Acquisition. Image Sampling and Quantization.Some Basic Relationships between Pixels. Linear and Nonlinear Operations. Image Enhancement in the Spatial Domain. Basic Gray Level Transformations. Histogram Processing. Basics of Spatial Filtering. Smoothing Spatial Filters. Sharpening Spatial Filters. Color Image Processing. Color Fundamentals. Color Models. Pseudocolor Image Processing. Basics of Full-Color Image Processing. Color Transformations. Smoothing and Sharpening. Color Segmentation. Image Segmentation. Detection of Discontinuities. Edge Linking and Boundary Detection. Thresholding. Region-Based Segmentation. Segmentation by Morphological Watersheds. Morphological Image Processing .Dilation and Erosion. Opening and Closing. Extensions to Gray-Scale Images.
RESEARCH METHODS

Course code

EMNT525

Credit

3

Theoretical

3

Practical

0

Ects

0
This course is designed to be a background pass to graduate studies. The ability to formulate a research question, finding the data relevant to research questions, analyze those data, and presentation of research findings are skills that will be acquired through this course. Scientific thinking skills and methods of research, using library and online archives, experimental design, and presenting quantitative data are modules covered within the scope of this course. Scientific communication, writing research proposals, scientific reporting and thesis writing are also supported. Conference presentations, time management in research projects, ethical issues, plagiarism and skills of working in a group and networking are also highlighted throughout the semester.
ADVANCED TOPICS IN INFORMATION SECURITY

Course code

MISY660

Credit

3

Theoretical

3

Practical

0

Ects

Information is a crucial resource of today’s society. Protecting information and related intellectual property has recently posed a challenge. Information security is an enabling technology for developing a secured information society. These course aims at providing students with an advanced knowledge of Information security. The course will expose students to current and exciting research topics in information security. At the end of the course, students shall be able to understand the basic security properties, models, policies, concerns, and security tools such as cryptography, internet security, database security, steganography, access control mechanisms, firewalls and Intrusion detection system. Students will also have opportunity to evaluate real life security cases.
RENEWABLE ENERGY TRANSPOTATION SYSTEMS

Course code

EELE623

Credit

3

Theoretical

3

Practical

0

Ects

POWER SYSTEMS PROTECTION AND CONTROL

Course code

EELE638

Credit

3

Theoretical

3

Practical

0

Ects

ENERGY DECISION SUPPORT TOOLS

Course code

ENRE624

Credit

3

Theoretical

3

Practical

0

Ects

ADVANCED RESEARCH METHODS FOR ENGINEERING

Course code

ENGI660

Credit

3

Theoretical

3

Practical

0

Ects

8
This course covers data analysis using statistical methods, e.g., descriptive and multivariate analysis. Furthermore, the course covers the topics of correlation, sampling, estimation, and hypotheses testing. The logic and key assumptions underpinning the multivariate ordinary least squares regression model will be given together with more advanced subjects such as the analysis of time series and panel data analysis. The emphasis will be on achieving a smooth transition between theory, model definition, and outcome presentation. It will illustrate several methods of data analysis, presenting the findings of analyses (for example, visually, using graphics, tables, and text), and understanding their meaning. Students will gain hands-on experience with the techniques discussed in this course by applying them to various datasets using statistical software
ADVANCES ON VLSI DESIGN

Course code

EELE544

Credit

3

Theoretical

3

Practical

0

Ects

PATTERN RECOGNITION

Course code

CMPE546

Credit

3

Theoretical

3

Practical

0

Ects

SOLAR POWER DESIGN

Course code

ENRE507

Credit

3

Theoretical

3

Practical

0

Ects

SYSTEM MODELLING SMULATION

Course code

CMPE571

Credit

3

Theoretical

3

Practical

0

Ects

HIGH VOLTAGE TECHNIQUES

Course code

EEE456

Credit

0

Theoretical

0

Practical

0

Ects

COMMUNICATION SYSTEMS

Course code

EEE362

Credit

0

Theoretical

0

Practical

0

Ects

HIGH VOLTAGE UNDERGROUND CABLES

Course code

EELE635

Credit

3

Theoretical

3

Practical

0

Ects

ADVANCED APPROXIMATION THEORY

Course code

EELE663

Credit

3

Theoretical

3

Practical

0

Ects

Philosophy of Science

Course code

PHIL601

Credit

3

Theoretical

3

Practical

0

Ects

8
This course will follow three main paths: Firstly it will introduce philosophy to doctoral students. The meaning of philosophy, its scope, its sub-branches and its different schools will be the subject topic of the first weeks. Then the course will focus on the relation of philosophy with the sources of knowledge and different sciences. Here, Rationalism, Empiricism and Intuitionism will be covered during the following weeks. In the remaining weeks the course will concentrate on philosophy of science and scientific ethics. Logical positivism, paradigm changes, falsificationism, the questions of “what is science”, “what is pseudo-science?”, “what is the relation between theory and reality?” are amongst topics that will be covered. Finally, the course will concentrate on ethical theories and will particularly cover scientific ethics.
ANALOG FILTER DESIGN

Course code

EELE568

Credit

3

Theoretical

3

Practical

0

Ects

0
Introduction to filter theory and design, ideal filters, filter specifications. Normalization, Frequency and impedance scaling. All‐pole and Rational approximations. Active and passive filter synthesis. Operational Amplifiers. Bilinear Transfer Functions. Bode Plots, Active Realizations. Finite BW effects. Cascade Design. Biquad Circuits. Integrators: effect of non-ideal op-amps. Ackerberg-Mossberg biquad. Sallen-Key and Delyiannis-Friend circuits. General Impedance Converters. Transmission Zeros – summing and voltage feedforward. Butterworth Lowpass Filters. Chebyshev Lowpass Filters. Inverse Chebyshev and Cauer Filters. Cauer Design, Bessel, and frequency transformations. Active and passive circuit implementations. Comparison of Filters. Lowpass-to-highpass, band-pass, and band-elimination transformations. Delay Filters. Delay Equalization. Sensitivity. Switched-Capacitor Filters. Transconductance C Filters
ADVANCED CRYPTOGRAPHY AND DATA SECURITY

Course code

CMPE625

Credit

3

Theoretical

3

Practical

0

Ects

Cryptographic Protocol Theory, Oblivious Transfer, Digital Cash, E-Voting Applications, Identity-Based Encryption, Information Theoretic Approach in the Security of Cryptographic Protocols, Cryptographic Engineering, Crypt-analytic Tools and Attacks, Quantum Cryptography, Secure Multi-Party Computation, Error- Correcting Codes and Cryptography
WIRELESS NETWORKS AND MOBILE SYSTEMS

Course code

CMPE627

Credit

3

Theoretical

3

Practical

0

Ects

ADVANCED TOPICS IN COMPUTER ARCHITECTURE

Course code

CMPE636

Credit

3

Theoretical

3

Practical

0

Ects

Review of pipelined processor design and hierarchical memory design. Identification of parallelism in processes. Multiple diverse end functional units in a pipelined processor. Static, dynamic, and hybrid branch prediction techniques. Tomasulo Algorithm for efficient resolution of true data dependencies. Advanced data of techniques with and without speculative execution. Multiprocessor systems. Multi-threaded processors.
MODERN ECONOMIC ISSUES IN ENERGY SYSTEMS

Course code

ENRE527

Credit

3

Theoretical

3

Practical

0

Ects

WIRELESS COMMUNICATION SYSTEMS

Course code

EELE464

Credit

0

Theoretical

0

Practical

0

Ects

ELECTROMAGNETIC THEORY II

Course code

EEE331

Credit

0

Theoretical

0

Practical

0

Ects

POWER TRANSMISSION AND DISTRIBUTION

Course code

ENRE401

Credit

0

Theoretical

0

Practical

0

Ects

ELECTRICAL MACHINERY

Course code

EEE453

Credit

0

Theoretical

0

Practical

0

Ects

SYSTEMS ENGINEERING

Course code

CVLE601

Credit

3

Theoretical

3

Practical

0

Ects

5
In this course students will be introduced to systems thinking in the context of whole of infrastructure life cycle, with a special emphasis on structural safety and resilience. The course covers systems approach in innovative design, construction, operation and management of structures. Students will learn to recognize and assess the performance of systems which are dependent on the performance of their components. A combination of technical, economic, environmental and social aspects for robust and resilient structural systems will be considered through case studies covering the life cycle of structural systems. You will learn from the research base about contemporary and emerging concepts and trends such as design for deconstruction and design for safe construction from the perspective of systems-thinking.
SIGNALS AND SYSTEMS

Course code

EEE321

Credit

0

Theoretical

0

Practical

0

Ects

ELECTRONICS II

Course code

EEE342

Credit

0

Theoretical

0

Practical

0

Ects

DESIGN OF ZERO EMISSION 100% RENEWABLE CITIES

Course code

ENRE537

Credit

3

Theoretical

3

Practical

0

Ects

COMPUTER NETWORKS AND COMMUNICATIONS

Course code

EELE529

Credit

3

Theoretical

3

Practical

0

Ects

Architecture of a computer network and explain how each device in a network communicates with each other; processes in each layer of the network protocol that enables different networks to share resources; basic network protocols in each layer of a TCP/IP stack and the purpose of each protocol; role of the Network Request for Comment (RFC); comparison each layer in the TCP/IP model with those in the OSI model; socket programming and explain its role in application processing; IP addressing; packet collisions and how they are corrected in the link layer; CSMA and describe its use in the link layer; application protocols like VoIP and IPTV; TCP/IP security related issues.

Students who are interested in pursuing advanced graduate studies leading to a master’s, doctoral degree or professional doctorate degree for the Fall and Spring semesters every year. Applicants can directly apply online to our graduate programs using the application portal.

TR Applicants- Required documents:

  • Bachelor’s and Master’s Degree Diploma
  • Bachelor’s and Master’s Degree transcripts for each completed academic term/year.
  • Valid ALES result in document (must not exceed 5 years),
  • Documents to prove English proficiency for English language departments,
  • Scanned copy of passport or identity card.

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TRNC Applicants- Required documents:

  • Bachelor’s and Master’s Degree Diploma
  • Bachelor’s and Master’s Degree transcripts for each completed academic term/year.
  • Documents to prove English proficiency for English language departments,
  • Scanned copy of passport or identity card.

Click for detailed admission requirements information.

Students who are interested in pursuing advanced graduate studies leading to a master’s, doctoral degree or professional doctorate degree for the Fall and Spring semesters every year. Applicants can directly apply online to our graduate programs using the application portal.

International Applicants- Required documents:

  • A valid Bachelor’s Degree and transcripts for each completed academic term/year.
  • A valid Master’s Degree and transcripts for each completed academic term/year.
  • Evidence of English Language competence: TOEFL (65 IBT) or IELTS (5.5). Students without these documents will take the CIU English proficiency exam on campus following arrival.
  • Scanned copy of international passport/birth certificate
  • CV
  • PhD research proposal
  • Fully completed and signed CIU Rules and Regulations document (which can be downloaded during the online application)

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Cyprus International University provides academic scholarships for its students as an incentive for success, with most students benefiting from 50%, 75% or 100% scholarships or discounted tuition fees. Click for more information.

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