Dokuz Eylül University Information Package / Courses Catalog

General Description

History

The Electrical and Electronics Engineering Department (EEE) was founded in 1981 as part of the Faculty of Engineering and Architecture of Ege University. In 1982, the Department of EEE was incorporated into the Faculty of Engineering and Architecture of the newly established Dokuz Eylül University. The Department of EEE started its graduate and undergraduate programs in the academic years of 1981-1982 and 1982-1983, respectively. The department adopted English as its teaching language for the graduate program in 1987 and for the undergraduate program in 1993.
Our Graduate Programmes (M.Sc. and Ph.D.) train their students in the study areas of circuits and systems, electronics, electromagnetics, electrical machines, signal processing, control, and telecommunications and aim to provide its graduates with the abilities of conducting independent research, participating in research and development projects as part of the project staff, and disseminating outcomes of their research work by publishing in conference proceedings and scientific journals.

Qualification Awarded

Ph.D. in Electrical and Electronics Engineering

Level of Qualification

Third Cycle (Doctorate Degree)

Specific Admission Requirements

Second Cycle Degree in the same or in related disciplines. Acceptable score on ALES (Academic Personnel and Graduate Education Entrance Exam) or Equivalent GRE, GMAT score. Acceptable score on Language Proficiency Tests. Acceptable weighted score based on the first or second cycle (with thesis) cumulative grade point average (GPA) and ALES score. However, ALES requirement is waived for the graduates of doctorate /arts proficiency/medical residency/ dental residency/ veterinary residency/ pharmaceutical residency programs as well as for the admissions to the graduate programs offered by the Conservatory and the departments of Fine Arts Faculty, where students are admitted only by the Artistic Aptitude Test. Final admission is based on the evaluation of the related academic unit committee. International student admission requirements are decided by the Graduate School Executive Committee.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

According to the Regulations of Dokuz Eylül University for Graduate Schools, students may be accepted for graduate transfer with the approval of the Department Directorate and decision of the Board of Directors of the Graduate School in case the student fulfills the graduate transfer regulations decided by the General Council of the Graduate School. Previously taken courses at another graduate programme with a successful grade may be recognized by the related programmes with the written request of the students including course contents and the transcript, and by the recommendation of the Department Directorates and by the decision of the Board of Directors. The courses taken by the outgoing Exchange students may have the recognition at the school either as compulsory or elective by the decision of the Board of Directors.

Qualification Requirements and Regulations

4 years, 2 semesters per year, 16 weeks per semester, 240 ECTS in total.

Profile of the Programme

Our objective is to furnish our graduates with deeper understanding, knowledge, and appreciation in their selected specialized area of Electrical Engineering. Additionally, our graduates are expected to propose solutions to engineering problems by synthesizing their acquired knowledge and to follow, interpret, and utilize the scientific and technological advances in their specialized areas.

Our graduate students can make use of the following laboratories for their education and research:
Antennas and Microwave Laboratory, Electrical Machines and Power Electronics Laboratory, Power Quality Research Laboratory, Circuits and Systems Laboratory, Signal and Image Processing Laboratory, Control Systems Laboratory, Telecommunications Laboratory, Electronics Laboratory, Advanced Microelectronics Laboratory, Printed Circuit and Prototyping Laboratory, Digital Electronics Laboratory, Robotics Laboratory, Instrumentation Laboratory, Automation Laboratory, Biomedical Laboratory, Optics Laboratory .
Percentage of Courses Taught in English: 100%

Key Learning Outcomes

1	To improve and deepen his/her knowledge, acquired during undergraduate and master s degree education in Electrical and Electronics Engineering (EEE), at an expert-level by producing unique ideas and conducting research
2	To reach unique and original results by performing critical analysis, synthesis, and evaluation of new and sophisticated ideas and utilizing them together with information requiring expertise
3	To gain the ability of using advanced level research methods to systematically generate new information in EEE
4	To carry out a unique scientific study by means of: bringing out a scientific innovation, developing a new scientific method, or applying an already known method to a different area
5	To be able to identify a unique problem, to explain it, to devise approaches, methods, and/or techniques for solving it, to adapt and apply it to a new area, and to gain the ability of scientifically interpreting, presenting, and publishing the obtained results
6	To follow scientific and technological publications in a manner to be able to evaluate them scientifically
7	To be conscious of research and publication code of conducts at an advanced level and to gain the ability of publishing by obeying the ethical rules of publication
8	To communicate and function in multidisciplinary expert research groups by advocating unique personal opinions and/or to be able to serve as a team leader in occasions requiring solution of single or multidisciplinary problems
9	To be able to develop new ideas and methods related to EEE by using high-level mental abilities such as creative and critical thinking, problem solving, and decision-making
10	To extend the frontiers of knowledge in EEE by publishing scientific research results in internationally refereed English journals and by making presentations in meetings of scientific and technological scope
11	To contribute to the process of becoming an information society by following technological, social, and cultural developments of both academic and professional origin in EEE and by communicating with colleagues abroad
12	To gain the ability of proposing a research and development project and realizing it by functioning as a coordinator
13	In problem solving, to be able to interact effectively by utilizing strategic decision-making processes
14	To be able to generate solutions with a sense of responsibility in social, environmental, and ethical matters encountered in the field of EEE
15	To gain the ability of analyzing moral values of social and professional origin with a critical viewpoint and taking the required steps for further improving them

Occupational Profiles of Graduates with Examples

This degree enables the holder to exercise the profession in the public or private sector. Students who complete our Graduate studies (M.Sc. and Ph.D.) find jobs as managers or research and development engineers in private or governmental institutions who operate in the electrical and electronics sectors, or may work at universities. Especially in recent years, due to the economic growth in Turkey, more job opportunities appear in energy, telecommunications, automotive, electronics, white goods, biomedical, and defense industry sectors.

Access to Further Studies

May apply to post doctorate programmes.

Course Structure Diagram with Credits

Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
In addition to the compulsory courses of the programme, students register to elective courses appropriate for their thesis topic, on the consent of their supervisor. If necessary, on the consent of their supervisor, they can also register to courses from other programmes (from DEU or other universities). It is obligatory to register EEE 5503. But, with approval of the supervisor, instead of registering EEE 5503 students can also register to EEE 5129 or EEE 5131, or one compulsory course from Mathematic or Statistic program (Except MAT5101). In the case of one of these courses taken during the M.Sc. education, these are not obligatory. The registration must be noticed to the Institute during course registration period by the supervisor.
T: Theoretical P: Practice L: Laboratory B: Spring Semester G: Fall Semester H: Full Year
ALL COURSES
Z	1	EEE 5004	ANALOG INTEGRATED CIRCUIT DESIGN	ELECTIVE	3	0	0	8
Z	2	EEE 5011	COMPUTER AIDED DESIGN OF ELECTRONIC CIRCUITS	ELECTIVE	3	0	0	8
Z	3	EEE 5014	ELECTRONIC INSTRUMENTATION	ELECTIVE	3	0	0	7
Z	4	EEE 5017	APPLIED OPTICS	ELECTIVE	3	0	0	8
Z	5	EEE 5018	PRINCIPLES OF LASERS	ELECTIVE	3	0	0	8
Z	6	EEE 5021	HIGH FREQUENCY TECHNIQUES IN ELECTROMAGNETICS	ELECTIVE	3	0	0	8
Z	7	EEE 5022	NUMERICAL METHODS IN ELECTROMAGNETICS	ELECTIVE	3	0	0	7
Z	8	EEE 5026	ANTENNA THEORY	ELECTIVE	3	0	0	8
Z	9	EEE 5027	COMMUNICATION SYSTEMS DESIGN	ELECTIVE	3	0	0	8
Z	10	EEE 5029	ARTIFICIAL NEURAL NETWORKS	ELECTIVE	3	0	0	7
Z	11	EEE 5030	NEURAL NETWORKS FOR SIGNAL PROCESSING	ELECTIVE	3	0	0	8
Z	12	EEE 5033	DIGITAL IMAGE PROCESSING	ELECTIVE	3	0	0	8
Z	13	EEE 5034	COMPUTER VISION	ELECTIVE	3	0	0	8
Z	14	EEE 5035	COMMUNICATION THEORY	ELECTIVE	3	0	0	8
Z	15	EEE 5036	DIGITAL COMMUNICATION SYSTEM	ELECTIVE	3	0	0	8
Z	16	EEE 5037	DIGITAL VIDEO PROCESSING	ELECTIVE	3	0	0	8
Z	17	EEE 5041	COMPUTER ALGORITHMS - I	ELECTIVE	3	0	0	8
Z	18	EEE 5047	MICROCONTROLLER ARCHITECTURE AND APPLICATIONS	ELECTIVE	3	0	0	8
Z	19	EEE 5049	SWITCHED MODE POWER CONVERTERS	ELECTIVE	3	0	0	8
Z	20	EEE 5055	TIME FREQUENCY SIGNAL ANALYSIS	ELECTIVE	3	0	0	8
Z	21	EEE 5064	SPECIAL TOPICS IN POWER ELECTRONICS	ELECTIVE	3	0	0	8
Z	22	EEE 5065	GENERALIZED MACHINE THEORY	ELECTIVE	3	0	0	8
Z	23	EEE 5066	ADVANCED DIGITAL SIGNAL PROCESSING	ELECTIVE	3	0	0	8
Z	24	EEE 5067	WAVELET THEORY AND MULTIRESOLUTION SIGNAL ANALYSIS	ELECTIVE	3	0	0	8
Z	25	EEE 5069	ADAPTIVE FILTER THEORY	ELECTIVE	3	0	0	8
Z	26	EEE 5071	ANALYSIS AND SYNTHESIS OF NONLINEAR CIRCUITS	ELECTIVE	3	0	0	8
Z	27	EEE 5072	FUZZY SYSTEMS	ELECTIVE	3	0	0	8
Z	28	EEE 5073	STATISTICAL PATTERN RECOGNITION	ELECTIVE	3	0	0	8
Z	29	EEE 5075	INFORMATION THEORY AND CODING	ELECTIVE	3	0	0	8
Z	30	EEE 5076	BIOMEDICAL SIGNAL PROCESSING	ELECTIVE	3	0	0	8
Z	31	EEE 5082	INTEGRATED SENSORS	ELECTIVE	3	0	0	8
Z	32	EEE 5083	PHASE LOCKED LOOP THEORY AND APPLICATIONS	ELECTIVE	3	0	0	8
Z	33	EEE 5084	STATISTICAL DETECTION THEORY IN SIGNAL PROCESSING	ELECTIVE	3	0	0	8
Z	34	EEE 5086	PRINCIPLES OF VLSI DESIGN	ELECTIVE	3	0	0	8
Z	35	EEE 5087	STATISTICAL ESTIMATION THEORY IN SIGNAL PROCESSING	ELECTIVE	3	0	0	8
Z	36	EEE 5089	DATA CONVERTERS	ELECTIVE	3	0	0	8
Z	37	EEE 5091	COMPUTATIONAL METHODS IN ELECTRICAL ENGINEERING	ELECTIVE	3	0	0	8
Z	38	EEE 6003	ADVANCED ELECTROMAGNETIC THEORY	ELECTIVE	3	0	0	8
Z	39	EEE 5032	ELECTRICAL ASPECTS OF WIND ENERGY CONVERSION SYSTEMS	ELECTIVE	3	0	0	8
Z	40	EEE 5095	PHYSIOLOGY FOR ENGINEERS	ELECTIVE	3	0	0	8
Z	41	EEE 5088	BIOMEDICAL INSTRUMENTATION	ELECTIVE	3	0	0	8
Z	42	EEE 5001	ELECTRIC MOTOR DRIVES	ELECTIVE	3	0	0	7
Z	43	EEE 5101	ELECTRICAL POWER SYSTEMS QUALITY	ELECTIVE	3	0	0	8
Z	44	EEE 5090	LINEAR AND NONLINEAR PROGRAMMING	ELECTIVE	3	0	0	8
Z	45	EEE 5103	MODERN SPECTRAL ESTIMATION	ELECTIVE	3	0	0	8
Z	46	EEE 5502	LINEAR SYSTEMS THEORY II	ELECTIVE	3	0	0	8
Z	47	EEE 5102	NONLINEAR SYSTEMS THEORY	ELECTIVE	3	0	0	8
Z	48	EEE 6006	CHAOS AND FRACTALS	ELECTIVE	3	0	0	8
Z	49	EEE 5104	OPTIMAL CONTROL	ELECTIVE	3	0	0	8
Z	50	EEE 5105	HRV ANALYSIS	ELECTIVE	2	2	0	8
Z	51	EEE 5106	MAGNETIC RESONANCE IMAGING	ELECTIVE	3	0	0	8
Z	52	EEE 5108	RF CIRCUIT DESIGN	ELECTIVE	3	0	0	8
Z	53	EEE 5125	COMPUTER-AIDED POWER SYSTEM PLANNING	ELECTIVE	3	0	0	8
Z	54	EEE 5127	ELECTRIC POWER SYSTEM PLANNING	ELECTIVE	3	0	0	8
Z	55	EEE 5110	INTEGRATION OF DISTRIBUTED POWER GENERATION IN POWER SYSTEMS	ELECTIVE	3	0	0	8
Z	56	EEE 5112	PHOTOVOLTAIC POWER SYSTEMS	ELECTIVE	3	0	0	8
Z	57	EEE 5114	ADVANCED TOPICS IN DIGITAL IMAGE PROCESSING	ELECTIVE	3	0	0	8
Z	58	EEE 5503	LINEAR SYSTEMS THEORY I	ELECTIVE	3	0	0	9
Z	59	EEE 5129	RANDOM VARIABLES AND STOCHASTIC PROCESSES	ELECTIVE	3	0	0	9
Z	60	EEE 5131	TRANSFORM THEORY AND ITS APPLICATIONS	ELECTIVE	3	0	0	9
Z	61	EEE 5133	NEURAL COMPUTING	ELECTIVE	3	0	0	8
Z	62	EEE 5117	CAMPUS NETWORK DESIGN	ELECTIVE	3	0	0	7
Z	63	EEE 5092	MICROWAVE TEHCNOLOGY	ELECTIVE	3	0	0	8
Z	64	EEE 5020	INTERNETWORK DESIGN PRINCIPLES	ELECTIVE	3	0	0	7
Z	65	EEE 5123	ADVANCED STATIC POWER CONVERSION	ELECTIVE	3	0	0	8
Z	66	EEE 5109	SYSTEMS IDENTIFICATION	ELECTIVE	3	0	0	8
Z	67	EEE 5111	MICROWAVE THEORY	ELECTIVE	3	0	0	8
Z	68	EEE 5113	ANTENNAS AND PROPAGATION FOR WIRELESS SYSTEMS	ELECTIVE	3	0	0	8
Z	69	EEE 5115	ADVANCED COMPUTER NETWORKS - I	ELECTIVE	3	0	0	7
Z	70	EEE 5119	SPECIAL TOPICS IN UNSUPERVISED ADAPTIVE FILTERING	ELECTIVE	3	0	0	7
Z	71	EEE 5121	ANALOG FILTER DESIGN	ELECTIVE	3	0	0	8
B	72	EEE 6094	PH.D. SEMINAR	SEMINAR	0	3	0	5
B	73	FBE 6668	PHILOSOPHY OF SCIENCE AND ETHICS	REQUIRED	3	0	0	5
B	74	EEE 6099	PH.D. THESIS	THESIS	0	0	0	150
B	75	EEE 6098	PH.D. RESEARCH	EXPERTNESS	3	0	0	9

Examination Regulations, Assessment and Grading

The examination, assessment and grading are carried out according to the related clauses of the Education and Examination Regulations of Dokuz Eylul University for Foundation and Undergraduate Education and according to the Education and Examination Regulations of Engineering Faculty
The students are entitled to achieve minimum 1,00/4,00 to be successful for any course and cumulatively minimum 2,00/4,00 for graduation.
Assessment and grading methods of each course are defined and indicated by the instructor of the course on the data form: Course Details.

Graduation Requirements

Third Cycle (Doctor of Philosophy) Programme is comprised of courses (at least 67 ECTS),Ph.D.Seminar (5 ECTS), Ph. D. Research (18 ECTS) / Ph. D. Thesis (150 ECTS) courses, thesis proposal, doctoral qualifying examination and thesis examination with a total credit of 240 ECTS. Students must have minimum Cumulative Grade Point Average (CGPA) of 2.50 / 4.00 and completed all the courses with at least CB / S / TP grades.

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Prof. Dr. Mehmet KUNTALP
Dokuz Eylül Üniversitesi
Elektrik ve Elektronik Mühendisliği Bölümü
Tınaztepe Yerleşkesi
35397 Buca / İZMİR
Tel: 0 232 - 3017158 - 17158
E-mail: yesim.zoral@deu.edu.tr

DEGREE PROGRAMMES