Dokuz Eylül University Information Package / Courses Catalog

General Description

History

Dokuz Eylul University Computer Engineering Department was founded in 1994 by the founding head Prof. Dr. Esen ÖZKARAHAN by graduate program. The undergraduate program has started in 1995. The program language is English in undergraduate and graduate programs. In all programs, based on a relative grading system; group and individual applications, written exams with assignments and project based evaluation is used.

Qualification Awarded

Ph.D. in Computer 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

The purpose of the program, to ensure that the graduates play an active role in the field of computer-based information systems in each step of the life cycle, in their expertise. In addition; they are expected to be individuals that able to detect problems by observing, able to propose solutions by the literature searching in the light of the current situation and technological development, able to report and defend the results and obtained findings properly, have social anxiety, are respect for ethical values. The main research topics in the department are: Artificial Intelligence, Security, Internet of Things, and Natural Language Processing. The department faculty members have publications in ISI indexed (SCIE, SSCI) and other reputable journals, books, and conference proceedings. In addition, they are developing HORIZON, TUBITAK, TUSEB, KOSGEB, and BAP projects. With consulting faculty members, our students have won degrees in various competitions. There are 5 research laboratories next to the academic staff rooms, used in thesis research of graduate students. There is also both wired and wireless network connection available for all students and instructors, in the department. The department has the capability to provide consultancy support to organizations on different subjects of computer science. The department faculty members can provide knowhow and working environment support for artificial intelligence (especially machine learning, data mining, bioinformatics), databases, computer networks, natural language processing, internet of things, computer security, software engineering, graph theory, the application of latest computer technology developments, in industrial and other projects. The department is constantly developing for a more effective and modern education with its dynamic, expert staff in their fields, its education policy and its quality of incorporating worldwide changes to its education content and educational structure with regulations that are fit to the department characteristics.
Percentage of Courses Taught in English: 100%

Key Learning Outcomes

1	Reach all of the detailed theoretical and practical information in the field of study by scientific research and evaluate and use the information through a systematic approach.
2	Have detailed knowledge of practiced technical and practical methods, in the field of study.
3	Have the highest level of skills in scientific research methods and techniques.
4	Bring an innovation that provides different initiatives to the field of Computer Engineering; develop a new approach, method, design, application or apply a present method in a different field.
5	Possess the skills for the definition of a present or a new problem in theoretical models and the formulation of an effective solution through experimental work.
6	Have abilities to predispose to cooperation and team work, act as a leader and carry out responsibilities when necessary.
7	Possess awareness of the necessity for lifelong learning and competence for renovating himself/herself, by following the progress in the field.
8	Use a foreign language to study literature in the field, to establish communication verbally and in writing with academic/social communities and to prepare scientific publications.
9	Contribute to the literature by publishing the whole scientific research and development efforts he/she has carried out in the field of expertise.
10	Analyze the new ideas and scientific ideas with a critical point of view, evaluate their impact and synthesize them.
11	Is aware of social, cultural, scientific and technologic progress, carry out the research and implementation in a framework of academic impartiality and ethical values.

Occupational Profiles of Graduates with Examples

The graduates work at various positions including academic positions, at home and abroad; also can create their own businesses in various fields such as software development, computer network management and consulting, as well as working at firms specialized in these areas, and in the related departments of corporations which have an IT Department. They generally take positions in companies working in the IT or Communication technologies, R & D, Software development areas as software engineers, analysts, IT specialists, test engineers, control engineers, system managers, hardware design engineers, IT managers, network engineers, network designers, network security managers. In addition, they may take any positions as research assistants, lecturers, faculty members in computer engineering and computer science departments of universities.

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 MAT5101 Applied Mathematics (3 0 0) or MAT5102 Numerical and Approximate Methods (3 0 0) or MAT5151 Methods of Applied Mathematics (3 0 0) with approval of the supervisor. 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

1 .Semester:
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	30
TOTAL:								30

2 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	FBE 6668	PHILOSOPHY OF SCIENCE AND ETHICS	COMPULSORY	3	0	0	5
B	2	CSE 6094	PH.D. SEMINAR	COMPULSORY	0	3	0	5
B	3	CSE 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
B	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	11
TOTAL:								30

3 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	CSE 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	21
TOTAL:								30

4 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	CSE 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

5 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	CSE 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

6 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	CSE 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

7 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	CSE 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

8 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	CSE 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
Z	1	CSE 5053	NETWORK DESIGN AND IMPLEMENTATION	ELECTIVE	3	0	0	8
Z	2	CSE 6009	TRANSFORM BASED IMAGE PROCESSING	ELECTIVE	3	0	0	8
Z	3	CSE 5019	ADVANCED DISTRIBUTED DATABASES	ELECTIVE	3	0	0	8
Z	4	CSE 5007	MACHINE LEARNING AND REASONING	ELECTIVE	3	0	0	9
Z	5	CSE 5015	ADVANCED INFORMATION SYSTEMS	ELECTIVE	3	0	0	9
Z	6	CSE 5013	NEURAL NETWORKS	ELECTIVE	3	0	0	9
Z	7	CSE 5005	BIOINFORMATICS ALGORITHMS	ELECTIVE	3	0	0	9
Z	8	CSE 5003	E-COMMERCE	ELECTIVE	3	0	0	9
Z	9	MAT 5151	METHODS OF APPLIED MATHEMATICS	ELECTIVE	3	0	0	9
Z	10	MAT 5101	APPLIED MATHEMATICS	ELECTIVE	3	0	0	9
Z	11	CSE 5093	TEXT MINING	ELECTIVE	3	0	0	8
Z	12	CSE 5091	TEMPORAL INFORMATION SYSTEMS	ELECTIVE	3	0	0	8
Z	13	CSE 5059	WIRELESS SENSOR AND ACTOR NETWORKS	ELECTIVE	3	0	0	8
Z	14	CSE 5055	OBJECT RELATIONAL DATABASE MANAGEMENT SYSTEMS	ELECTIVE	3	0	0	8
Z	15	CSE 5065	SECURITY AND PRIVACY ENGINEERING	ELECTIVE	3	0	0	8
Z	16	CSE 5001	HUMAN-COMPUTER INTERACTION	ELECTIVE	3	0	0	7
Z	17	CSE 6015	NATURAL LANGUAGE PROCESSING	ELECTIVE	3	0	0	8
Z	18	CSE 6013	ADVANCED EVOLUTIONARY COMPUTATION	ELECTIVE	3	0	0	8
Z	19	CSE 6011	CRYPTOSYSTEMS AND CRYPTOGRAPHIC PROTOCOLS	ELECTIVE	3	0	0	8
Z	20	CSE 6007	RECONFIGURABLE COMPUTING	ELECTIVE	3	0	0	8
Z	21	CSE 6005	CONSTRAINT PROGRAMMING	ELECTIVE	3	0	0	8
Z	22	CSE 6001	SOFTWARE QUALITY ENGINEERING	ELECTIVE	3	0	0	8
Z	23	CSE 5089	PERFORMANCE ANALYSIS OF COMPUTER NETWORKS	ELECTIVE	3	0	0	7
Z	24	CSE 5087	ADVANCED LOGIC PROGRAMMING	ELECTIVE	3	0	0	7
Z	25	CSE 5083	ANALYSIS OF ALGORITHMS	ELECTIVE	3	0	0	8
Z	26	CSE 5075	FUNDAMENTALS OF QUANTUM COMPUTING	ELECTIVE	3	0	0	8
Z	27	CSE 5061	TEXT BASED INFORMATION RETRIEVAL	ELECTIVE	3	0	0	8
Z	28	CSE 5011	PROGRAMMING LANGUAGES:ADVANCED CONCEPTS	ELECTIVE	3	0	0	8
Z	29	CSE 5021	PRINCIPLES OF DATABASE DESIGN	ELECTIVE	3	0	0	7
Z	30	CSE 5031	ADVANCED SOFTWARE ENGINEERING	ELECTIVE	3	0	0	8
Z	31	CSE 5041	THEORY OF COMPUTER SCIENCE	ELECTIVE	3	0	0	8
Z	32	CSE 5043	OBJECT ORIENTED ANALYSIS AND DESIGN	ELECTIVE	3	0	0	8
Z	33	CSE 5045	ADVANCED NETWORK PROGRAMMING	ELECTIVE	3	0	0	8
Z	34	CSE 5047	ADVANCED NETWORK TECHNOLOGIES	ELECTIVE	3	0	0	8
Z	35	CSE 5051	INTRODUCTION TO MICROPROCESSORS	ELECTIVE	3	0	0	8
Z	36	CSE 5088	FOUNDATIONS AND APPLICATIONS OF SOCIAL NETWORK ANALYSIS	ELECTIVE	3	0	0	8
Z	37	CSE 5004	GRAPH THEORY AND ALGORITHMS	ELECTIVE	3	0	0	9
Z	38	CSE 5006	DATA MINING AND KNOWLEDGE DISCOVERY	ELECTIVE	3	0	0	9
Z	39	CSE 5010	STRATEGIC INFORMATION SYSTEM DEVELOPMENT	ELECTIVE	3	0	0	9
Z	40	CSE 5094	FOUNDATIONS OF INTERNET OF EVERYTHING	ELECTIVE	3	0	0	8
Z	41	CSE 5020	REQUIREMENT ENGINEERING AND DEVELOPMENT TEAMS	ELECTIVE	3	0	0	9
Z	42	CSE 5076	DIGITAL AUDIO PROCESSING	ELECTIVE	3	0	0	7
Z	43	CSE 5016	PATTERN RECOGNITION	ELECTIVE	3	0	0	9
Z	44	CSE 5074	PRINCIPLES OF NATURAL LANGUAGE PROCESSING	ELECTIVE	3	0	0	9
Z	45	CSE 5070	HIGH PERFORMANCE COMPUTING	ELECTIVE	3	0	0	8
Z	46	CSE 5066	MULTIMEDIA INFORMATION RETRIEVAL	ELECTIVE	3	0	0	8
Z	47	CSE 5002	EVOLUTIONARY COMPUTATION	ELECTIVE	3	0	0	9
Z	48	CSE 5058	AGENT TECHNOLOGIES	ELECTIVE	3	0	0	7
Z	49	CSE 5014	KNOWLEDGE BASED SYSTEMS	ELECTIVE	3	0	0	9
Z	50	MAT 5102	NUMERICAL AND APPROXIMATE METHODS	ELECTIVE	3	0	0	9
Z	51	CSE 5008	COMPUTER NETWORKS SECURITY	ELECTIVE	3	0	0	9
Z	52	CSE 5092	INTERNET OF THINGS	ELECTIVE	3	0	0	8
Z	53	CSE 5048	ADVANCED SOFTWARE ENGINEERING DEVELOPMENT TEAM	ELECTIVE	3	0	0	8
Z	54	CSE 5032	ARTIFICIAL INTELLIGENCE	ELECTIVE	3	0	0	8
Z	55	CSE 6008	GENETIC PROGRAMMING	ELECTIVE	3	0	0	8
Z	56	CSE 5024	WEB ENGINEERING	ELECTIVE	3	0	0	8
Z	57	CSE 5022	PARALLEL INFORMATION PROCESSING	ELECTIVE	3	0	0	8
Z	58	CSE 5090	MOBILE CLOUD COMPUTING	ELECTIVE	3	0	0	8
Z	59	CSE 5012	DISTRIBUTED COMPUTING SYSTEMS	ELECTIVE	3	0	0	8
Z	60	CSE 6006	ADVANCED CONSTRAINT LOGIC PROGRAMMING	ELECTIVE	3	0	0	8
Z	61	CSE 6004	ADVANCED COMPUTER ARCHITECTURE	ELECTIVE	3	0	0	8

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

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. Derya BİRANT
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus 35390 Buca / Izmir / TURKEY
Tel: 0232 3017401
Fax: 0232 3010536
e-mail: derya.birant@deu.edu.tr

DEGREE PROGRAMMES