Third Cycle Programmes
    (Doctorate Degree)
Second Cycle Programmes
    (Master's Degree)
First Cycle Programmes
    (Bachelor's Degree)
Short Cycle Programmes
    (Associate's Degree)
 
Third Cycle Programmes (Doctorate Degree)

Graduate School of Natural and Applied Sciences - Electrical and Electronic Engineering - Third Cycle Programme



General Description
History
Ege University, Graduate School of Natural and Applied Sciences, Engineering Sciences, Electrical and Electronics Engineering Department
Qualification Awarded
The Doctorate Degree(PhD) in Electrical/Electronics Engineering awarded to the graduates who have successfully full filled all programme requirements.
Level of Qualification
Third Cycle
Specific Admission Requirements
The applicants who hold a Master's Degree and willing to enroll in the Doctorate programme may apply to the Directorate of Graduate School with the documents. 1-Sufficient score (at least 55 out of 100) from the Academic Staff and Graduate Study Education Exam (ALES) conducted by Student Selection and Placement Center (OSYM) or GRE Graduate Record Examination (GRE) score or Graduate Management Admission Test (GMAT) score equivalent to ALES score of 55. 2-English proficiency (at least 70 out of 100 from the Profiency Exam conducted by Ege University Foreign Language Department, or at least 55 out of 100 from ÜDS (University Language Examination conducted by OSYM) or TOEFL or IELTS score equivalent to UDS score of 55. The candidates holding Bachelor's or Master's Degree taught totally in English are exempted from English proficiency requirement. The candidates fulfilling the criteria outlined above are invited to interwiev. The assessment for admission to masters programs is based on : 50% of ALES, 15% of academic success in the undergraduate programme (cumulative grade point average (CGPA) ) 10 % of academic success in the master's programme and 25% of interview grade. The required minimum interview grade is 60 out of 100. The candidates having an assessed score of 65 at least are accepted into the Doctorate programme. The results of the evaluation are announced by the Directorate of Graduate School.
Specific Arrangements For Recognition Of Prior Learning (Formal, Non-Formal and Informal)
The rules for recognition of formal prior learning are well defined. A student who is currently enrolled in a Doctorate Degree programme in the same discipline at another institution and has successfully completed at least one semester, upon submitting all required documents before the deadline, may transfer to the Doctorate Programme at EGE University upon the recommendation of the department administration and with the approval of the Administrative Committee of the Graduate School. The decision taken will also include eligibility for exemption from some course requirements of the graduate program. Students who transfer from another university must be successful in the EGE University English Proficiency Exam or in an equivalent English examination. Recognition of prior non-formal and in-formal learning is at the beginning stage in Turkish Higher Education Institutions. Ege University is not an exception to this.
Qualification Requirements and Regulations
The doctorate programme consists of a minimum of seven courses, with a minimum of 21 national credits, a qualifying examination, a dissertation proposal, and a dissertation. The period allotted for the completion of the Doctorate programmes is normally eight semesters (four years). However, while it is possible to graduate in a shorter time, it is also possible to have an extension subject to the approval of the graduate school. The seminar course and thesis are non-credit and graded on a pass/fail basis. The total ECTS credits of the programme is 240 ECTS. A student may take undergraduate courses on the condition that the courses have not been taken during the undergraduate program. However, at most two of these courses may be counted to the Doctorate course load and credits. The PhD students are required to take the Doctoral Qualifying Examination, after having successfully completed taught courses. The examination consists of written and oral parts. The Doctoral Qualifying Committee determines by absolute majority whether a candidate has passed or failed the examination. Students who fail the Qualifying Examination may retake the examination the following semester. Students failing the Examination a second time are dismissed from the program. Students must register for thesis work and the Specialization Field course offered by his supervisor every semester following the semester, in which the supervisor is appointed. A dissertation supervisor who must hold the minimum rank of assistant professor is appointed for each PhD student. When the nature of the dissertation topic requires more than one supervisor, a joint-supervisor may be appointed. A joint-supervisor must hold a doctoral degree. Periodic monitoring of research work by a thesis monitoring committee is required to be awarded the Doctoral degree. A student who has completed work on the thesis within the time period, must write a thesis, using the data collected, according to the specifications of the Graduate School Thesis Writing Guide. The thesis must be defended in front of a jury. The thesis jury is appointed on the recommendations of the relevant Department Chairperson and with the approval of the Administrative Committee of the Graduate School. The jury is composed of the thesis supervisor and 5 faculty members. Of the appointed jury members, up to two may be selected from another Department or another University. The co-supervisor cannot be the jury member. Thesis defense by the candidate is open to all audience and a jury decides to grant/deny the Doctoral degree. A majority vote by the jury members determines the outcome of the thesis or examination. The vote can be for "acceptance", "rejection" or "correction". A student may be given, by a decision of the Administrative Committee of the Graduate School, up to six months to complete the corrections. The student must then retake the thesis examination.
Profile of The Programme
Under the supervision of their supervisor, the students enroll the compulsory and elective courses of relevant discipline, finalise and defend their thesis.
Occupational Profiles of Graduates With Examples
Research Associate/Lecturer/Academician in various universities.
Access to Further Studies
Graduates who succesfully completed doctorate degree may apply to both in the same or related disciplines in higher education institutions at home or abroad to get a position in academic staff or to governmental R&D centres to get expert position.
Examination Regulations, Assessment and Grading
Course exams and Evaluations Article 13 – (1) The credit value of a graduate course is the sum of theoretical weekly course hours and half of the weekly application or laboratory course hours. (2) Ph.D. courses are evaluated over 100 full grade and at least one midterm exam is done for each course in a semestr. For a student to be eligible to take an exam 70% attendance for the theoretical courses and 80% attendance for the application/laboratory are required. (3) Not related. (4) Not related. (5) The success grade of a Ph.D. Course is determined by taking 40% of the midterm exam grades average and 60% of the final exam grade. For a student to be succesful from a course the succes grade should be 75 or higher. (6) A student may take a course he/she has failed whichever semestr is offered, or he/she may take other elective courses that his/her advisor sees appropriate. But, a Ph.D. student with an M.Sc. degree should be successfull from his/her 21 credits course work till the end of the 4th semestr. Otherwise, his/her record is deleted from the institute. (7) Graduate courses are evaluated over 100 full grade, but if desired a student's letter grade or 4 full grade success state is determined according to the following translation lrules: 90-100 AA 4,00; 85-89 BA 3,50; 80-84 BB 3,00; 75-79 CB 2,50; 70-74 CC 2,00; 65-69 DC 1,50; 64-0 FF 0,00.
Graduation Requirements
Graduation requirements are explained in the section “Qualification Requirements and Regulations” .
Mode of Study (Full-Time, Part-Time, E-Learning )
Full-Time
Address, Programme Director or Equivalent
Ege University, The Gradutae School of Natural and Applied Sciences, Electrical and Electronics Engineering Department, Bornova, Izmir, 35100. Chair of the Program: Prof. Ibrahim Avgin, Dept. Secretary Tel: +90 232 388 6024 Coordinator: Prof. Irfan Alan, Dept. Secretary Tel: +90 232 388 6024
Facilities
Facilities for doctorate programme involves; working offices and laboratories for master's students, Laboratory studies are funded by some research projects.

Key Learning Outcomes
1Abilility to use mathematics, science and engineering knowledge in advanced research
2Abilility to analyze, design and/or implement an original system that will solve engineering problems
3Abilility to use software, hardware and modern measurment equipments required for the research studies in his field of expertise
4Abilility to plan and make independent detailed research
5Abilility to make literature review, follow and make technical presentation and write an article in academic level
6Abilility to find original ways and solutions by innovative and questioning thinking

Key Programme Learning Outcomes - NQF for HE in Turkey
TYYÇKey Learning Outcomes
123456
KNOWLEDGE1
2
SKILLS1
2
3
4
COMPETENCES (Competence to Work Independently and Take Responsibility)1
2
3
COMPETENCES (Learning Competence)1
COMPETENCES (Communication and Social Competence)1
2
3
COMPETENCES (Field Specific Competence)1
2
3

Course Structure Diagram with Credits
T : Theoretical P: Practice L : Laboratory
1. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 EEM-SG-DOK-G ELECTIVE COURSES 1 Elective - - - 22
2 9103026592013 Electromagnetic Wave Theory Compulsory 3 0 0 8
Total 3 0 0 30
 
2. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 EEM-SG-DOK-B ELECTIVE COURSES 2 Elective - - - 22
2 9103026382005 Waves and Vibrations Compulsory 3 0 0 8
Total 3 0 0 30
 
3. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 EBB6852017 Development and Learning Compulsory 3 0 0 4
2 EBB6832017 Planning and Assesment in Education Compulsory 3 2 0 6
3 DRUAD691 Specialization Field Compulsory 0 0 0 5
4 DRTEZ693 Thesis Study Compulsory 0 0 0 15
Total 6 2 0 30
 
4. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
5. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
6. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
7. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
8. Semester
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 DRUAD691 Specialization Field Compulsory 0 0 0 5
2 DRTEZ692 Thesis Study Compulsory 0 0 0 25
Total 0 0 0 30
 
ELECTIVE COURSES 1
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9103026012003 Photonics I Elective 3 0 0 8
2 9103026012014 Photonics I Elective 3 0 0 0
3 9103026032015 Radar System Theory Elective 3 0 0 0
4 9103026052011 Numerical Methods of Electromagnetic Theory Elective 3 0 0 8
5 9103026072015 Numerical Solutions of Electromagnetic Theory Elective 3 0 0 0
6 9103026152006 Field Orientation Control Theory in AC Machines Elective 3 0 0 8
7 9103026192005 Optimization Theory Elective 3 0 0 8
8 9103026252003 Microprocessor Based System Design Elective 3 0 0 7
9 9103026272006 Static VAR Compensators and Filters Elective 3 0 0 8
10 9103026372006 Wireless Sensor Networks Elective 3 0 0 7
11 9103026372014 Wireless Sensor Networks Elective 3 0 0 0
12 9103026412008 Modeling and Design for Wireless Sensor Networks Elective 3 0 0 8
13 9103026412014 Modeling and Design for Wireless Sensor Networks Elective 3 0 0 0
14 9103026432009 Nanostructure Theory Elective 3 0 0 7
15 9103026432014 Nanostructure Theory Elective 3 0 0 0
16 9103026452009 Effects of Harmonics on Power System Elective 3 0 0 8
17 9103026472009 Organics Electronics Elective 3 0 0 7
18 9103026492010 Resonant and Soft Switching Techniques in Power Electronics Elective 3 0 0 8
19 9103026532011 Pattern Recognition Applications Elective 3 0 0 8
ELECTIVE COURSES 2
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 9103026142003 System Identification Elective 3 0 0 8
2 9103026302006 VSI, CSI and PWM Inverters Elective 3 0 0 8
3 9103026422009 Dynamics and Control of Electric Power System Elective 3 0 0 8
4 9103026442009 Polymers in Electronics Device Applications Elective 3 0 0 8
5 9103026482009 Power Consumption in WSN Elective 3 0 0 8
6 9103026522011 Image Analysis Elective 3 0 0 8
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr