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

M.Sc. in Computer 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

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 information by conducting scientific research in Information Technology and use the advanced theoretical and practical knowledge obtained, correctly.
2   Possess the necessary knowledge for making analysis, synthesis, modeling, choosing a suitable method, theoretical and practical work in computer engineering.
3   Plan and conduct academic research.
4   Develop and apply innovative ideas, methods or approaches to solve Information Technology problems.
5   Determine the requirements of a present or new problem, design a solution focused system and develop the related phases.
6   Work individual, as a team member or leader in disciplinary or inter-disciplinary efforts and take responsibilities.
7   Have awareness in progress related to the profession, follow new trends and develop ideas and opinion about them.
8   Use a foreign language to establish effective communication verbally and in writing for the profession.
9   Share the scientific work at the national and international level, verbally and in writing.
10   Have the necessary awareness of the social and environmental dimensions of Information Technology applications at the global and communal level.
11   Is aware of the social, legal, ethical and moral values and conduct the research and implementation work within the framework of these 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 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 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. 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 Type of Course T P L ECTS
G 1 FBE 5557 SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS COMPULSORY 3 0 0 5
G 2 CSE 5098 M.SC. RESEARCH COMPULSORY 2 0 0 3
G 0 - ELECTIVE COURSE ELECTIVE - - - 22
TOTAL:   30
 
1 .Semester Elective:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 CSE 5053 NETWORK DESIGN AND IMPLEMENTATION ELECTIVE 3 0 0 8
G 2 CSE 5007 MACHINE LEARNING AND REASONING ELECTIVE 3 0 0 9
G 3 CSE 5011 PROGRAMMING LANGUAGES:ADVANCED CONCEPTS ELECTIVE 3 0 0 8
G 4 CSE 5021 PRINCIPLES OF DATABASE DESIGN ELECTIVE 3 0 0 7
G 5 CSE 5031 ADVANCED SOFTWARE ENGINEERING ELECTIVE 3 0 0 8
G 6 CSE 5041 THEORY OF COMPUTER SCIENCE ELECTIVE 3 0 0 8
G 7 CSE 5043 OBJECT ORIENTED ANALYSIS AND DESIGN ELECTIVE 3 0 0 8
G 8 CSE 5045 ADVANCED NETWORK PROGRAMMING ELECTIVE 3 0 0 8
G 9 CSE 5047 ADVANCED NETWORK TECHNOLOGIES ELECTIVE 3 0 0 8
G 10 CSE 5051 INTRODUCTION TO MICROPROCESSORS ELECTIVE 3 0 0 8
G 11 CSE 5061 TEXT BASED INFORMATION RETRIEVAL ELECTIVE 3 0 0 8
G 12 CSE 5075 FUNDAMENTALS OF QUANTUM COMPUTING ELECTIVE 3 0 0 8
G 13 CSE 5083 ANALYSIS OF ALGORITHMS ELECTIVE 3 0 0 8
G 14 CSE 5087 ADVANCED LOGIC PROGRAMMING ELECTIVE 3 0 0 7
G 15 CSE 5089 PERFORMANCE ANALYSIS OF COMPUTER NETWORKS ELECTIVE 3 0 0 7
G 16 CSE 6001 SOFTWARE QUALITY ENGINEERING ELECTIVE 3 0 0 8
G 17 CSE 6005 CONSTRAINT PROGRAMMING ELECTIVE 3 0 0 8
G 18 CSE 6007 RECONFIGURABLE COMPUTING ELECTIVE 3 0 0 8
G 19 CSE 6009 TRANSFORM BASED IMAGE PROCESSING ELECTIVE 3 0 0 8
G 20 CSE 6011 CRYPTOSYSTEMS AND CRYPTOGRAPHIC PROTOCOLS ELECTIVE 3 0 0 8
G 21 CSE 6013 ADVANCED EVOLUTIONARY COMPUTATION ELECTIVE 3 0 0 8
G 22 CSE 6015 NATURAL LANGUAGE PROCESSING ELECTIVE 3 0 0 8
G 23 CSE 5001 HUMAN-COMPUTER INTERACTION ELECTIVE 3 0 0 7
G 24 CSE 5065 SECURITY AND PRIVACY ENGINEERING ELECTIVE 3 0 0 8
G 25 CSE 5055 OBJECT RELATIONAL DATABASE MANAGEMENT SYSTEMS ELECTIVE 3 0 0 8
G 26 CSE 5059 WIRELESS SENSOR AND ACTOR NETWORKS ELECTIVE 3 0 0 8
G 27 CSE 5091 TEMPORAL INFORMATION SYSTEMS ELECTIVE 3 0 0 8
G 28 CSE 5093 TEXT MINING ELECTIVE 3 0 0 8
G 29 MAT 5101 APPLIED MATHEMATICS ELECTIVE 3 0 0 9
G 30 MAT 5151 METHODS OF APPLIED MATHEMATICS ELECTIVE 3 0 0 9
G 31 CSE 5003 E-COMMERCE ELECTIVE 3 0 0 9
G 32 CSE 5005 BIOINFORMATICS ALGORITHMS ELECTIVE 3 0 0 9
G 33 CSE 5013 NEURAL NETWORKS ELECTIVE 3 0 0 9
G 34 CSE 5015 ADVANCED INFORMATION SYSTEMS ELECTIVE 3 0 0 9
G 35 CSE 5009 ADVANCED DISTRIBUTED DATABASES ELECTIVE 3 0 0 8
 
2 .Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 CSE 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 CSE 5004 GRAPH THEORY AND ALGORITHMS ELECTIVE 3 0 0 9
B 2 CSE 5094 FOUNDATIONS OF INTERNET OF EVERYTHING ELECTIVE 3 0 0 8
B 3 CSE 5022 PARALLEL INFORMATION PROCESSING ELECTIVE 3 0 0 8
B 4 CSE 5024 WEB ENGINEERING ELECTIVE 3 0 0 8
B 5 CSE 5032 ARTIFICIAL INTELLIGENCE ELECTIVE 3 0 0 8
B 6 CSE 5046 ADVANCED SOFTWARE ENGINEERING DEVELOPMENT TEAM ELECTIVE 3 0 0 8
B 7 CSE 5058 AGENT TECHNOLOGIES ELECTIVE 3 0 0 7
B 8 CSE 5066 MULTIMEDIA INFORMATION RETRIEVAL ELECTIVE 3 0 0 8
B 9 CSE 5070 HIGH PERFORMANCE COMPUTING ELECTIVE 3 0 0 8
B 10 CSE 5074 PRINCIPLES OF NATURAL LANGUAGE PROCESSING ELECTIVE 3 0 0 9
B 11 CSE 5076 DIGITAL AUDIO PROCESSING ELECTIVE 3 0 0 7
B 12 CSE 6004 ADVANCED COMPUTER ARCHITECTURE ELECTIVE 3 0 0 8
B 13 CSE 6006 ADVANCED CONSTRAINT LOGIC PROGRAMMING ELECTIVE 3 0 0 8
B 14 CSE 6008 GENETIC PROGRAMMING ELECTIVE 3 0 0 8
B 15 CSE 5002 EVOLUTIONARY COMPUTATION ELECTIVE 3 0 0 9
B 16 CSE 5088 FOUNDATIONS AND APPLICATIONS OF SOCIAL NETWORK ANALYSIS ELECTIVE 3 0 0 8
B 17 CSE 5090 MOBILE CLOUD COMPUTING ELECTIVE 3 0 0 8
B 18 CSE 5092 INTERNET OF THINGS ELECTIVE 3 0 0 8
B 19 MAT 5102 NUMERICAL AND APPROXIMATE METHODS ELECTIVE 3 0 0 9
B 20 CSE 5006 DATA MINING AND KNOWLEDGE DISCOVERY ELECTIVE 3 0 0 9
B 21 CSE 5008 COMPUTER NETWORKS SECURITY ELECTIVE 3 0 0 9
B 22 CSE 5014 KNOWLEDGE BASED SYSTEMS ELECTIVE 3 0 0 9
B 23 CSE 5016 PATTERN RECOGNITION ELECTIVE 3 0 0 9
B 24 CSE 5020 REQUIREMENT ENGINEERING AND DEVELOPMENT TEAMS ELECTIVE 3 0 0 9
B 25 CSE 5010 STRATEGIC INFORMATION SYSTEM DEVELOPMENT ELECTIVE 3 0 0 9
B 26 CSE 5012 DISTRIBUTED COMPUTING SYSTEMS ELECTIVE 3 0 0 8
 
3.Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 CSE 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 CSE 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

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