DEGREE PROGRAMMES

: ELECTRICAL AND ELECTRONICS ENGINEERING

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

M.Sc. in Electrical and Electronics Engineering

Level of Qualification

Second Cycle (Master's Degree)

Specific Admission Requirements

First Cycle (Bachelor's Degree) diploma; minimum score of 55 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 65 from the graduate school entrance exam; a minimum score of 60 from the nation-wide Foreign Language Exam ( YDS ) or equivalent score from an exam accredited by YÖK or a minimum score of 65 from DEU School of Foreign Languages English Proficiency Test.

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

2 years (excluding one year of English Preparatory School), 2 semesters per year, 16 weeks per semester, 120 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.
The academic staff of the department includes 7 Professors, 4 Associate Professors, 17 Assistant Professors, 1 Lecturer, 6 Research Assistants and 1 Expert, whereas the administrative staff consists of two Technical Staff and 4 Administrative Staff.
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 further advance and deepen his/her knowledge in Electrical and Electronics Engineering (EEE) based on his/her already acquired theoretical and applied information on science and engineering at the undergraduate level
2   Appreciating the importance of interdisciplinary interaction, to make use of his/her knowledge in the field of EEE and problem-solving skills in team works coordinated within the framework of interdisciplinary research and development projects
3   To be able to generate new information by combining his/her knowledge in the field of EEE with new developments in basic sciences related to his/her field and with information coming from different disciplines
4   To be able to propose solutions for problems in his/her expertise area by utilizing his/her skills of mathematical analysis and methods of scientific research
5   In the field of EEE, to formulate a problem independently, to develop solution methods for it, to evaluate the results, and if necessary, to be able to implement them
6   To be able to find a solution independently to unforeseen problems likely to be encountered in applications of EEE
7   By evaluating the information related to EEE from a critical viewpoint, to come up with unique and futuristic approaches and novelties
8   To be able to systematically disseminate current studies and developments in the field of EEE by writing scientific and technological reports and conducting seminars in English
9   To follow developments in the field of EEE and to utilize the English language effectively to communicate with colleagues abroad
10   To be able to follow and utilize scientific and technological publications and to gain the habit of attending scientific meetings
11   To make use of information and communication technologies together with computer programming at an advanced level required by EEE
12   To be able to develop strategy, policy, and planning in the field of EEE and to be able to evaluate the obtained results within the framework of quality processes
13   To be conscious of social and environmental responsibilities at every stages of collecting, evaluating, and disseminating data related to the field of EEE; to comply with social, scientific, and ethical codes of conduct
14   To gain the ability of critically analyzing social and professional moral values and taking action 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 third cycle programmes.

Course Structure Diagram with Credits

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 EEE5501. But, with approval of the supervisor, instead of registering EEE5501 students can also register to EEE5013 or EEE5015, or one compulsory course from Mathematic or Statistic program (Except MAT5001). The registration must be noticed to the Institute during course registration period by the supervisor. Students can also register to a course with EEE code (including EEE5501) as an elective course.
T: Theoretical P: Practice L: Laboratory
B: Spring Semester G: Fall Semester H: Full Year
1 .Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 EEE 5098 M.SC. RESEARCH COMPULSORY 2 0 0 3
G 0 - ELECTIVE COURSE ELECTIVE - - - 27
TOTAL:   30
 
1 .Semester Elective:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 EEE 5011 COMPUTER AIDED DESIGN OF ELECTRONIC CIRCUITS ELECTIVE 3 0 0 8
G 2 EEE 5114 ADVANCED TOPICS IN DIGITAL IMAGE PROCESSING ELECTIVE 3 0 0 8
G 3 EEE 5015 TRANSFORM THEORY AND ITS APPLICATIONS ELECTIVE 3 0 0 8
G 4 EEE 5017 APPLIED OPTICS ELECTIVE 3 0 0 8
G 5 EEE 5021 HIGH FREQUENCY TECHNIQUES IN ELECTROMAGNETICS ELECTIVE 3 0 0 8
G 6 EEE 5027 COMMUNICATION SYSTEMS DESIGN ELECTIVE 3 0 0 8
G 7 EEE 5029 ARTIFICAL NEURAL NETWORKS ELECTIVE 3 0 0 7
G 8 EEE 5033 DIGITAL IMAGE PROCESSING ELECTIVE 3 0 0 8
G 9 EEE 5035 COMMUNICATION THEORY ELECTIVE 3 0 0 8
G 10 EEE 5037 DIGITAL VIDEO PROCESSING ELECTIVE 3 0 0 8
G 11 EEE 5041 COMPUTER ALGORITHMS - I ELECTIVE 3 0 0 8
G 12 EEE 5047 MICROCONTROLLER ARCHITECTURE AND APPLICATIONS ELECTIVE 3 0 0 8
G 13 EEE 5049 SWITCHED MODE POWER CONVERTERS ELECTIVE 3 0 0 8
G 14 EEE 5055 TIME FREQUENCY SIGNAL ANALYSIS ELECTIVE 3 0 0 8
G 15 EEE 5065 GENERALIZED MACHINE THEORY ELECTIVE 3 0 0 8
G 16 EEE 5067 WAVELET THEORY AND MULTIRESOLUTION SIGNAL ANALYSIS ELECTIVE 3 0 0 8
G 17 EEE 5069 ADAPTIVE FILTER THEORY ELECTIVE 3 0 0 8
G 18 EEE 5071 ANALYSIS AND SYNTHESIS OF NONLINEAR CIRCUITS ELECTIVE 3 0 0 8
G 19 EEE 5073 STATISTICAL PATTERN RECOGNITION ELECTIVE 3 0 0 8
G 20 EEE 5075 INFORMATION THEORY AND CODING ELECTIVE 3 0 0 8
G 21 EEE 5083 PHASE LOCKED LOOP THEORY AND APPLICATIONS ELECTIVE 3 0 0 8
G 22 EEE 5087 STATISTICAL ESTIMATION THEORY IN SIGNAL PROCESSING ELECTIVE 3 0 0 8
G 23 EEE 5089 DATA CONVERTERS ELECTIVE 3 0 0 8
G 24 EEE 5091 COMPUTATIONAL METHODS IN ELECTRICAL ENGINEERING ELECTIVE 3 0 0 8
G 25 EEE 6003 ADVANCED ELECTROMAGNETIC THEORY ELECTIVE 3 0 0 8
G 26 EEE 5095 PHYSIOLOGY FOR ENGINEERS ELECTIVE 3 0 0 8
G 27 EEE 5001 ELECTRIC MOTOR DRIVES ELECTIVE 3 0 0 7
G 28 EEE 5101 ELECTRICAL POWER SYSTEMS QUALITY ELECTIVE 3 0 0 8
G 29 EEE 5103 MODERN SPECTRAL ESTIMATION ELECTIVE 3 0 0 8
G 30 EEE 5501 LINEAR SYSTEMS THEORY I ELECTIVE 3 0 0 8
G 31 EEE 5105 HRV ANALYSIS ELECTIVE 2 2 0 8
G 32 EEE 5109 SYSTEMS IDENTIFICATION ELECTIVE 3 0 0 8
G 33 EEE 5111 MICROWAVE THEORY ELECTIVE 3 0 0 8
G 34 EEE 5113 ANTENNAS AND PROPAGATION FOR WIRELESS SYSTEMS ELECTIVE 3 0 0 8
G 35 EEE 5115 ADVANCED COMPUTER NETWORKS - I ELECTIVE 3 0 0 7
G 36 EEE 5117 CAMPUS NETWORK DESIGN ELECTIVE 3 0 0 7
G 37 EEE 5119 SPECIAL TOPICS IN UNSUPERVISED ADAPTIVE FILTERING ELECTIVE 3 0 0 7
G 38 EEE 5121 ANALOG FILTER DESIGN ELECTIVE 3 0 0 8
G 39 EEE 5123 ADVANCED STATIC POWER CONVERSION ELECTIVE 3 0 0 8
G 40 EEE 5125 COMPUTER-AIDED POWER SYSTEM PLANNING ELECTIVE 3 0 0 8
G 41 EEE 5127 ELECTRIC POWER SYSTEM PLANNING ELECTIVE 3 0 0 8
G 42 EEE 5013 RANDOM VARIABLES AND STOCHASTIC PROCESSES ELECTIVE 3 0 0 8
 
2 .Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 EEE 5096 M.SC. SEMINAR COMPULSORY 0 2 0 3
B 0 - ELECTIVE COURSE ELECTIVE - - - 27
TOTAL:   30
 
2 .Semester Elective:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 EEE 5004 ANALOG INTEGRATED CIRCUIT DESIGN ELECTIVE 3 0 0 8
B 2 EEE 5112 PHOTOVOLTAIC POWER SYSTEMS ELECTIVE 3 0 0 8
B 3 EEE 5018 PRINCIPLES OF LASERS ELECTIVE 3 0 0 8
B 4 EEE 5022 NUMERICAL METHODS IN ELECTROMAGNETICS ELECTIVE 3 0 0 7
B 5 EEE 5026 ANTENNA THEORY ELECTIVE 3 0 0 8
B 6 EEE 5030 NEURAL NETWORKS FOR SIGNAL PROCESSING ELECTIVE 3 0 0 8
B 7 EEE 5034 COMPUTER VISION ELECTIVE 3 0 0 8
B 8 EEE 5036 DIGITAL COMMUNICATION SYSTEM ELECTIVE 3 0 0 8
B 9 EEE 5064 SPECIAL TOPICS IN POWER ELECTRONICS ELECTIVE 3 0 0 8
B 10 EEE 5066 ADVANCED DIGITAL SIGNAL PROCESSING ELECTIVE 3 0 0 8
B 11 EEE 5072 FUZZY SYSTEMS ELECTIVE 3 0 0 8
B 12 EEE 5076 BIOMEDICAL SIGNAL PROCESSING ELECTIVE 3 0 0 8
B 13 EEE 5082 INTEGRATED SENSORS ELECTIVE 3 0 0 8
B 14 EEE 5084 STATISTICAL DETECTION THEORY IN SIGNAL PROCESSING ELECTIVE 3 0 0 8
B 15 EEE 5086 PRINCIPLES OF VLSI DESIGN ELECTIVE 3 0 0 8
B 16 EEE 5032 ELECTRICAL ASPECTS OF WIND ENERGY CONVERSION SYSTEMS ELECTIVE 3 0 0 8
B 17 EEE 5088 BIOMEDICAL INSTRUMENTATION ELECTIVE 3 0 0 8
B 18 EEE 5090 LINEAR AND NONLINEAR PROGRAMMING ELECTIVE 3 0 0 8
B 19 EEE 5502 LINEAR SYSTEMS THEORY II ELECTIVE 3 0 0 8
B 20 EEE 5102 NONLINEAR SYSTEMS THEORY ELECTIVE 3 0 0 8
B 21 EEE 6006 CHAOS AND FRACTALS ELECTIVE 3 0 0 8
B 22 EEE 5104 OPTIMAL CONTROL ELECTIVE 3 0 0 8
B 23 EEE 5106 MAGNETIC RESONANCE IMAGING ELECTIVE 3 0 0 8
B 24 EEE 5020 INTERNETWORK DESIGN PRINCIPLES ELECTIVE 3 0 0 7
B 25 EEE 5092 MICROWAVE TEHCNOLOGY ELECTIVE 3 0 0 8
B 26 EEE 5108 RF CIRCUIT DESIGN ELECTIVE 3 0 0 8
B 27 EEE 5110 INTEGRATION OF DISTRIBUTED POWER GENERATION IN POWER SYSTEMS ELECTIVE 3 0 0 8
B 28 EEE 5014 ELECTRONIC INSTRUMENTATION ELECTIVE 3 0 0 7
 
3.Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 EEE 5099 M.SC. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 
4.Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 EEE 5099 M.SC. THESIS COMPULSORY 0 0 0 30
TOTAL:   30
 

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylul University Regulations of Graduate Education and Exams and related items of Institute of Natural and Applied Sciences Regulations of Education and Code of Practicing Exams are applied for the exams and course grades.
The course evaluation criteria are defined for each course by the instructor(s) of the corresponding course and are given in the Course Description Form found in the information package.

Graduation Requirements

Second Cycle (Master's Degree) Programme with thesis is comprised of courses (at least 54 ECTS), a seminar (3 ECTS), M. Sc. Research (3 ECTS) and M. Sc. Thesis (60 ECTS), in total 120 ECTS credits. 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. Uğur Çam
Dokuz Eylül Üniversitesi
Elektrik ve Elektronik Mühendisliği Bölümü
Tınaztepe Yerleşkesi
35397 Buca / İZMİR
Tel: +90 232 301 7155
E-mail: ugur.cam@deu.edu.tr