DEGREE PROGRAMMES

: Computer Engineering

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 (Master's Degree) diploma; minimum 80/100 or 3/4 Cumulative Grade Point Average, minimum score of 60 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 70 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.

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 department has 4 ongoing Research Groups. These are Natural Language Processing Work Group (http://nlp.cs.deu.edu.tr/), Data Mining Work Group, Security Research Group (http://srg.cs.deu.edu.tr/wp/) and Multimedia Information Retrieval Work Group (http://demir.cs.deu.edu.tr/). The department faculty members have publications enlisted in SCI and other edited journals. In addition, they are developing TUBITAK and TEYDEB projects. With consulting faculty members, our students have won degrees in various competitions. There are 13 faculty members and lecturers, and 15 research assistants, in the Department. There are 8 computer laboratories, 1 hardware laboratory in service of the students. Additionally, 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 consulting services to every corporation and mainly software companies, in every field of computer sciences. The department faculty members can provide knowhow and working environment support for databases, computer networks, distance learning, natural language processing, multimedia (music and image) processing, computer security, project management, software quality, 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

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:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
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 5087 ADVANCED LOGIC PROGRAMMING ELECTIVE 3 0 0 7
Z 2 CSE 6013 ADVANCED EVOLUTIONARY COMPUTATION ELECTIVE 3 0 0 8
Z 3 CSE 5083 ANALYSIS OF ALGORITHMS ELECTIVE 3 0 0 8
Z 4 CSE 5041 THEORY OF COMPUTER SCIENCE ELECTIVE 3 0 0 8
Z 5 CSE 5075 FUNDAMENTALS OF QUANTUM COMPUTING ELECTIVE 3 0 0 8
Z 6 CSE 5053 NETWORK DESIGN AND IMPLEMENTATION ELECTIVE 3 0 0 8
Z 7 CSE 5031 ADVANCED SOFTWARE ENGINEERING ELECTIVE 3 0 0 8
Z 8 CSE 5015 ADVANCED INFORMATION SYSTEMS ELECTIVE 3 0 0 9
Z 9 CSE 5013 NEURAL NETWORKS ELECTIVE 3 0 0 9
Z 10 CSE 5005 BIOINFORMATICS ALGORITHMS ELECTIVE 3 0 0 9
Z 11 CSE 5003 E-COMMERCE ELECTIVE 3 0 0 9
Z 12 MAT 5151 METHODS OF APPLIED MATHEMATICS ELECTIVE 3 0 0 9
Z 13 CSE 5011 PROGRAMMING LANGUAGES:ADVANCED CONCEPTS ELECTIVE 3 0 0 8
Z 14 MAT 5101 APPLIED MATHEMATICS ELECTIVE 3 0 0 9
Z 15 CSE 5061 TEXT BASED INFORMATION RETRIEVAL ELECTIVE 3 0 0 8
Z 16 CSE 5009 ADVANCED DISTRIBUTED DATABASES ELECTIVE 3 0 0 8
Z 17 CSE 5051 INTRODUCTION TO MICROPROCESSORS ELECTIVE 3 0 0 8
Z 18 CSE 5093 TEXT MINING ELECTIVE 3 0 0 8
Z 19 CSE 5091 TEMPORAL INFORMATION SYSTEMS ELECTIVE 3 0 0 8
Z 20 CSE 5059 WIRELESS SENSOR AND ACTOR NETWORKS ELECTIVE 3 0 0 8
Z 21 CSE 5055 OBJECT RELATIONAL DATABASE MANAGEMENT SYSTEMS ELECTIVE 3 0 0 8
Z 22 CSE 5065 SECURITY AND PRIVACY ENGINEERING ELECTIVE 3 0 0 8
Z 23 CSE 5047 ADVANCED NETWORK TECHNOLOGIES ELECTIVE 3 0 0 8
Z 24 CSE 5001 HUMAN-COMPUTER INTERACTION ELECTIVE 3 0 0 7
Z 25 CSE 6015 NATURAL LANGUAGE PROCESSING ELECTIVE 3 0 0 8
Z 26 CSE 5089 PERFORMANCE ANALYSIS OF COMPUTER NETWORKS ELECTIVE 3 0 0 7
Z 27 CSE 6001 SOFTWARE QUALITY ENGINEERING ELECTIVE 3 0 0 8
Z 28 CSE 5043 OBJECT ORIENTED ANALYSIS AND DESIGN ELECTIVE 3 0 0 8
Z 29 CSE 6005 CONSTRAINT PROGRAMMING ELECTIVE 3 0 0 8
Z 30 CSE 5045 ADVANCED NETWORK PROGRAMMING ELECTIVE 3 0 0 8
Z 31 CSE 6007 RECONFIGURABLE COMPUTING ELECTIVE 3 0 0 8
Z 32 CSE 5021 PRINCIPLES OF DATABASE DESIGN ELECTIVE 3 0 0 7
Z 33 CSE 6009 TRANSFORM BASED IMAGE PROCESSING ELECTIVE 3 0 0 8
Z 34 CSE 6011 CRYPTOSYSTEMS AND CRYPTOGRAPHIC PROTOCOLS ELECTIVE 3 0 0 8
Z 35 CSE 5007 MACHINE LEARNING AND REASONING ELECTIVE 3 0 0 9
Z 36 CSE 5010 STRATEGIC INFORMATION SYSTEM DEVELOPMENT ELECTIVE 3 0 0 9
Z 37 CSE 5020 REQUIREMENT ENGINEERING AND DEVELOPMENT TEAMS ELECTIVE 3 0 0 9
Z 38 CSE 5016 PATTERN RECOGNITION ELECTIVE 3 0 0 9
Z 39 CSE 5014 KNOWLEDGE BASED SYSTEMS ELECTIVE 3 0 0 9
Z 40 CSE 5008 COMPUTER NETWORKS SECURITY ELECTIVE 3 0 0 9
Z 41 CSE 5006 DATA MINING AND KNOWLEDGE DISCOVERY ELECTIVE 3 0 0 9
Z 42 MAT 5102 NUMERICAL AND APPROXIMATE METHODS ELECTIVE 3 0 0 9
Z 43 CSE 5092 INTERNET OF THINGS ELECTIVE 3 0 0 8
Z 44 CSE 5090 MOBILE CLOUD COMPUTING ELECTIVE 3 0 0 8
Z 45 CSE 5088 FOUNDATIONS AND APPLICATIONS OF SOCIAL NETWORK ANALYSIS ELECTIVE 3 0 0 8
Z 46 CSE 5002 EVOLUTIONARY COMPUTATION ELECTIVE 3 0 0 9
Z 47 CSE 6008 GENETIC PROGRAMMING ELECTIVE 3 0 0 8
Z 48 CSE 6006 ADVANCED CONSTRAINT LOGIC PROGRAMMING ELECTIVE 3 0 0 8
Z 49 CSE 6004 ADVANCED COMPUTER ARCHITECTURE ELECTIVE 3 0 0 8
Z 50 CSE 5076 DIGITAL AUDIO PROCESSING ELECTIVE 3 0 0 7
Z 51 CSE 5074 PRINCIPLES OF NATURAL LANGUAGE PROCESSING ELECTIVE 3 0 0 9
Z 52 CSE 5070 HIGH PERFORMANCE COMPUTING ELECTIVE 3 0 0 8
Z 53 CSE 5066 MULTIMEDIA INFORMATION RETRIEVAL ELECTIVE 3 0 0 8
Z 54 CSE 5058 AGENT TECHNOLOGIES ELECTIVE 3 0 0 7
Z 55 CSE 5046 ADVANCED SOFTWARE ENGINEERING DEVELOPMENT TEAM ELECTIVE 3 0 0 8
Z 56 CSE 5032 ARTIFICIAL INTELLIGENCE ELECTIVE 3 0 0 8
Z 57 CSE 5024 WEB ENGINEERING ELECTIVE 3 0 0 8
Z 58 CSE 5022 PARALLEL INFORMATION PROCESSING ELECTIVE 3 0 0 8
Z 59 CSE 5012 DISTRIBUTED COMPUTING SYSTEMS ELECTIVE 3 0 0 8
Z 60 CSE 5094 FOUNDATIONS OF INTERNET OF EVERYTHING ELECTIVE 3 0 0 8
Z 61 CSE 5004 GRAPH THEORY AND ALGORITHMS ELECTIVE 3 0 0 9
 

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

Head of Department, Prof.Dr. Yalçın ÇEBİ
Tel: 0232 3017401
Fax: 0232 3010536
e-mail: yalcin.cebi@deu.edu.tr