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Third Cycle Programmes (Doctorate Degree)


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


General Description

After the closure of the Institute of Electronic Computing Sciences, that has taken place within the Ege University whose establishment was based on 1955, in 1982; the academic staff of institute were transferred to the department of Computer Science Engineering that was established at Ege University, Faculty of Engineering. In 1982-83 academic year, 25 students, by the pre-registration system, were started the education for the bachelor’s degree. In the creation of department’s education program, the contributions of participants of IV. Information Congress which was held in Izmir during this period, the experiences of the other universities’ faculty members and the experiences and the knowledge of the relevant industry’s staff were used. Education program in Turkish carried out until 1985; by 1985-86 academic year, 30% of education program has started to give in English and the name of the program was changed to “Computer Engineering” instead of “Computer Science Engineering”. Between 1992-1996, the entire program was conducted in English and since 1996-97 academic year, it is carried out mainly Turkish. The students admitted to department must have solid knowledge of English. Until 2009, according to the university’s senate’s decisions, the preparatory training year for English was required of all departments. With the arrangements made in 2009, to continue the necessity of a preparatory class for the students, 30% of the giving lessons in education program have to be conducted in English. By 2010, in Computer Engineering Department, there are 16 faculty members as 8 professor, 2 associate professors, 6 assistant professors and 22 research assistants with 4 of them have phD degree.

The Doctorate Degree(PhD) in Computer Engineering awarded to the graduates who have successfully full filled all programme requirements.

4 Year, 8 Semesters

240 ECTS

EQF-LLL 8

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.

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.

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.

Computer Engineering Department conducts an education program with the aim of to educate the students in the best way by combining the theory and practice as contemporary engineers who may found a qualified job in national or international organizations or academic area of information technology; analyze the operation of an existing system, find unique and creative solutions by identifying the problems, design and make projects for the new system, to make individual and team work to advance in working life, to express himself verbally and in writing, to have advanced foreign language skills to follow written sources, to open the innovation and self-confidence, as well as who are sensitive to the ages’ problem and with this sensitivity who are fulfilling the job responsibilities, who are able to act in accordance with ethically with acquiring the title of computer engineering based on a solid infrastructure of basic and engineering sciences. Program has compulsory courses related with both of basic engineering sciences and computer engineering. In addition, the education plan, as well as compulsory courses, includes elective courses that students can choose according to their preferences. Thus, Computer Engineering Department trains modern engineers, who can serve as computer engineering profession equipped with the knowledge and skills and who are self-development by following the developments in the field, suitable for team work, questioning and give importance to the ethical values, in all national and international areas.

At the end of undergraduate education, students who are successful are awarded the "Computer Engineer" diploma. Alumni of the department can have jobs like the system analyst, application programmer, usually the director of data processing centers, administrator of database, co-founder and executive engineer, research and development engineer in the computer-aided industrial design and implementations of the systems and so on. In addition, they can also get chance, with researching and making scientific study, for academic progress by contributing to the education as a Lecturer at universities.

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.

Measurement and evaluation methods that is applied for each course, is detailed in "Course Curriculum".

Graduation requirements are explained in the section “Qualification Requirements and Regulations” .

Full Time

Prof. Dr. Ata ÖNAL Ege University, Faculty of Engineering, Computer Engineerin Department Chair. Adress: Ege Universitesi, Muhendislik Fakultesi Bilgisayar Muhendisliği Bolumu 35100 Bornova, IZMIR, TURKIYE Tel : (232) 388 72 21 Fax : (232) 339 94 05 e-Mail : ata.onal@ege.edu.tr Doç. Dr. Aylin KANTARCI Ege University, Faculty of Engineering, Computer Engineerin Department AKTS/DS Coordinator EAdress: Ege Universitesi, Muhendislik Fakultesi Bilgisayar Muhendisliği Bolumu 35100 Bornova, IZMIR, TURKIYE Tel : (232) 311 5316 Fax : (232) 339 94 05 e-Mail: aylin.kantarci@ege.edu.tr

Computer engineering education is given in the historic three-storey independent building which was the only building when Ege University was founded in 1955, with the total covered area of3960 m2, 2 amphis and 5 classrooms. There are a projector, ac omputer, and a board located in all amphis and classrooms. There are six computer labs in the Computer Engineering Department. The computers in the laboratories have operating systems both of Windows and Linux. In addition, all computers in laboratories are equipped with internet access, and antivirus programs. The special software, that are needed by the courses or laboratories which are related with computer applications, are loaded and on the other hand over time the updates, that are appropriate to the technology, are done. In addition, there are courses related to applications done in the electric-electronics laboratory. In Computer Engineering Department by 2010 there are 8 professors, 2 associate professors, 6 assistant professors, at a total of 16 faculty members and 22 research assistants with 4 of them have phD degree.


Key Learning Outcomes

1 Ability to develop and apply scientific methods by deepening the knowledge acquired at master level
2 Analysis, synthesis, critical assessment of new ideas to solve complex problems independently.
3 Using modern design methods and tools to design a process or a system.
4 Using modern design methods and tools to design a process or a system.
5 Using scientific methods to collect data, evaluate and interpret.
6 Taking part in multi-disciplinary teams from different areas of information in their field, determine methods of integrating the solution.
7 Ability to defend the scientific methods to a group of experts
8 Ability to publish an original study that develops a new scientific method in a national/international journal.
9 Ability to adapt himself/herself to new developments
10 Ability to generate solutions in social, environmental and ethical issues.
11 Ability to determine appropriate tools to use in the process of scientific research and information technologies.

Key Programme Learning Outcomes - NQF for HE in Turkey

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Key Learning Outcomes
1
2
3
4
5
6
7
8
9
10
11
KNOWLEDGE
1
 
 
 
 
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
 
 
 
 
SKILLS
1
 
 
 
 
 
 
 
 
 
 
 
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 (60 ECTS per Full-Time Academic Year)

T : Theoretical P: Practice L: Laboratory
1. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9103016172014 Turkish System Simulation Compulsory 3 - - 10
B.SAYARMÜH-DR-SDG1 Turkish B.SAYARMÜH-DR-SDG1 Elective - - - 14
FENETKMUH2021 Turkish Scientific Research Methods with Research and Publication Ethics Compulsory 2 - - 6
Total 5 0 0 30
2. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
B.SAYARMÜH-DR-SDG2 Turkish B.SAYARMÜH-DR-SDG2 Elective - - - 24
FENDRSEM1 Turkish SEMINAR I Compulsory 1 - - 6
Total 1 0 0 30
3. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRUAD691 Turkish Specialization Field Compulsory - - - 5
FENDRTEZONE Turkish Thesis Proposal Defense Compulsory - - - 16
FENDRYET790 Turkish Qualifying Exam Compulsory - - - 9
Total 0 0 0 30
4. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ693 Turkish Thesis Study Compulsory - - - 15
DRUAD691 Turkish Specialization Field Compulsory - - - 5
EBB6832017 Turkish Planning and Assesment in Education Compulsory 3 2 - 6
EBB6852017 Turkish Development and Learning Compulsory 3 - - 4
Total 6 2 0 30
5. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ694 Turkish Thesis Study Compulsory - - - 19
DRUAD691 Turkish Specialization Field Compulsory - - - 5
FENDRSEM2 Turkish Seminar II Compulsory 1 - - 6
Total 1 0 0 30
6. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ692 Turkish Thesis Study Compulsory - - - 25
DRUAD691 Turkish Specialization Field Compulsory - - - 5
Total 0 0 0 30
7. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ692 Turkish Thesis Study Compulsory - - - 25
DRUAD691 Turkish Specialization Field Compulsory - - - 5
Total 0 0 0 30
8. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ692 Turkish Thesis Study Compulsory - - - 25
DRUAD691 Turkish Specialization Field Compulsory - - - 5
Total 0 0 0 30
B.SAYARMÜH-DR-SDG1 - B.SAYARMÜH-DR-SDG1
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9103016022019 Turkish Advanced Algorithms Elective 3 - - 10
9103016152014 Turkish Model Driven Software Engineering Elective 3 - - 10
9103016192014 Turkish Big Data Elective 3 - - 10
B.SAYARMÜH-DR-SDG2 - B.SAYARMÜH-DR-SDG2
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9103016182019 Turkish Deep Learning Elective 3 - - 10
9103016242014 Turkish Intelligent Systems Elective 3 - - 10
9103016282019 Turkish Parallel and Distributed Computing Elective 3 - - 10
9103016302014 Turkish Distributed Algorithms for Multi-Agent Networks Elective 3 - - 10
9103016322019 Turkish Bioinformatics Algorithms Elective 3 - - 10