DEGREE PROGRAMMES

: Computer Science

General Description

History

Department of Computer Science started offering undergraduate program in 2012-2013 academic year and the language of instruction is Turkish and only formal education program is provided. Besides the professional knowledge in Soft Computing, Data Mining, Intelligent Systems, Fuzzy Logic and Management Support Systems, the degree program in the Deparment of Computer Science also provides its graduates knowledge in Statistics, Computer Engineering and Mathematics.

Qualification Awarded

Computer Science

Level of Qualification

First Cycle (Bachelor's Degree)

Specific Admission Requirements

High school diploma and placement through a nation-wide Student Selection Examination.

Specific Arrangements for Recognition of Prior Learning (Formal, Non-Formal and Informal)

For students who intend to transfer to Dokuz Eylül University from universities in Turkey and in foreign countries, the articles of Regulation on the principles of student transfer between programs at associate and undergraduate degrees in higher education institutions, dual major and minor program standards and principles on credit transfers between institutions as well as the Evaluation Criteria on Student Transfer determined by Dokuz Eylül University Senate are implemented.
The vertical transfers of the graduates of Vocational Schools to undergraduate programs related to their completed programs are subject to the rules of Regulation on the continuation of the graduates of Vocational Schools and Distant Learning Programs to undergraduate programs.

Qualification Requirements and Regulations

To graduate from this 4 year program, students are required to successfully complete all courses and satisfy a minimum of 240 ECTS credits. The students also need to complete the 20 weekdays (4 weeks) practical training program, complete the graduation project and have a cumulative grade point average of a minimum of 2.00 / 4.00.

Profile of the Programme

Recently, concepts such as Soft Computing, Data Mining, Intelligent Systems, Fuzzy Logic, Fuzzy Sets, and Management Support Systems have begun to be used successfully in Medicine, Economics, Social and so on areas. The aim of the program is to train graduates who would investigate and develop the above-mentioned current scientific technologies and use them in practice. Almost every enterprise and scientific organization accumulate a large extents of data in their computing environment. Graduates of this program are expected to generate new information by analyzing and evaluating this data. On top of professional expertise, the alumni will gain knowledge in areas such as Statistics, Computer Engineering and Mathematics as well.
In addition to professional educational activities, the department is also actively involved in applied and theoretical research. Successful students of the program may also complete Minor Program in Department of Statistik and Mathematic. Students who successfully complete the Minor Program receive a certificate in the second program.
The Bologna Process (European Higher Education Area compliance studies) is underway in the department that will allow citizens of countries from European Higher Education Area to have easier access to get higher education and to work within Europe. During the Bologna compliance studies conducted in the department, the aims and outcomes of the Computer Science program that was set are updated in parallel to the focus group interview and the European Education Area principles. Diploma supplements are provided to graduates since 2012. The university received the Diploma Supplement Label in 2012. Studies on receiving the ECTS Label are currently underway.
The department aims to form bilateral agreements with internationally renowned institutions for student and staff exchange to improve the knowledge and experience gained. In this context, the department has 1 bilateral agreements within the scopes of ERASMUS Student and Staff Exchange Program with Jaén University in Spain as of 2012.
The educational and research activities are conducted with a faculty consisting of 1 professor, 3 assistant professors, 2 lecturer, and 1 research assistant in 2013. The department has advanced 2 computer laboratories and classes for educational and research activities.

Key Learning Outcomes

1   Having technical information about basic concepts, terminology and theoretical and applied methods fundamentally in computer science topics,
2   Be able to follow essential developments in the area, to construct mathematical models and to have ability to comment on data, be able to define problems, produce solutions and realize the solutions by means of programming languages,
3   Have ability to work individually and participate in any multidisciplinary team effectively, have self confidence in taking on responsibility,
4   Have ability to use the time efficiently in producing solution process by analytic thinking ability,
5   Be able to follow up-to-date technical literature and evaluate the acquired information with critical approach, have ability to use databases and other data resources,
6   Have the awareness of necessity in lifetime learning; have ability to follow the progress in science and technology and renovate himself consistently,
7   Be able to inform related individuals or organizations about the subjects in computer science; be able to transmit ideas and solution suggestions about the problems in written or orally,
8   Arrange and realize projects and events for social environment in which he lives by means of social responsibility awareness,
9   Be able to follow information about the field by using English as a foreign language and be able to communicate with his colleagues,
10   Be able to integrate discoveries and outcomes in field of computer science with other disciplines,
11   Have ability to share conceptual and technical information with experts in computer science in detail and with non-experts basically,
12   Have social, scientific and ethical values in processing, storing and interpreting data,
13   Become master in algorithmic solution methods and programming language.

Occupational Profiles of Graduates with Examples

Graduates of this program can be employed to the departments of Data Analysis, Data Processing, Software Development, Project Development, Research & Development and similar departments of public and private sector.

Access to Further Studies

Students who graduate from this program can apply for second cycle programs.

Course Structure Diagram with Credits

The Department Educational Plan is included of 39 compulsory and 7 elective courses. There are available 9 elective courses in fall term and 10 elective courses in spring term. The ratio of the compulsory courses/elective courses is 205 / 35 ECTS. The course structure and associated credits are provided in the Educational Plan given in the appendix.
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 1 ATA 1001 PRINCIPLES OF ATATURK AND HISTORY OF THE TURKISH REVOLUTION I REQUIRED 2 0 0 2
G 2 BİL 1005 DISCRETE MATHEMATICS AND LOGIC REQUIRED 4 0 0 6
G 3 BİL 1007 INFORMATION TECHNOLOGIES AND APPLICATIONS REQUIRED 2 2 0 4
G 4 BİL 1011 INTRODUCTION TO COMPUTER SCIENCE I REQUIRED 2 2 0 6
G 5 BİL 1013 TECHNICAL ENGLISH I REQUIRED 2 0 0 2
G 6 FSH 0001 COMMUNICATION SKILLS REQUIRED 2 0 0 2
G 7 KPD 1000 CAREER PLANNING REQUIRED 1 0 0 2
G 8 MAT 1009 CALCULUS I REQUIRED 4 0 0 6
G 0 - ELECTIVE COURSE ELECTIVE - - - 0
TOTAL:   30
 
2. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 ATA 1002 PRINCIPLES OF ATATURK AND HISTORY OF THE TURKISH REVOLUTION II REQUIRED 2 0 0 2
B 2 BİL 1004 TECHNICAL ENGLISH II. REQUIRED 2 0 0 3
B 3 BİL 1006 LINEAR ALGEBRA AND ANALYTIC GEOMETRY REQUIRED 4 0 0 6
B 4 BİL 1012 INTRODUCTION TO COMPUTER SCIENCE II REQUIRED 2 2 0 7
B 5 BİL 1014 INTRODUCTION TO STATISTICS REQUIRED 3 0 0 4
B 6 MAT 1010 CALCULUS II REQUIRED 4 0 0 6
B 0 - ELECTIVE COURSE ELECTIVE - - - 2
TOTAL:   30
 
2 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 BDE 1003 PHYSICAL EDUCATION ELECTIVE 2 0 0 2
B 2 GSH 1003 FOLK DANCING ELECTIVE 2 0 0 2
B 3 GSM 1003 MUSIC ELECTIVE 2 0 0 2
B 4 GSR 1003 PAINTING ELECTIVE 2 0 0 2
 
3 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 BİL 2009 GRAPHY THEORY REQUIRED 4 0 0 6
G 2 BİL 2011 ALGORITHMS AND DATA STRUCTURES REQUIRED 2 2 0 6
G 3 BİL 2013 NUMERICAL ANALYSIS REQUIRED 2 2 0 6
G 4 BİL 2015 OBJECT ORIENTED ANALYSIS AND DESIGN REQUIRED 2 2 0 5
G 5 BİL 2017 DIGITAL DESIGN REQUIRED 3 0 0 5
G 6 TDL 1001 TURKISH LANGUAGE I REQUIRED 2 0 0 2
G 0 - ELECTIVE COURSE ELECTIVE - - - 0
TOTAL:   30
 
4. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 BİL 2004 DATABASE MANAGEMENT REQUIRED 2 2 0 5
B 2 BİL 2008 OPERATING SYSTEMS REQUIRED 3 0 0 4
B 3 BİL 2012 OBJECT ORIENTED PROGRAMMING REQUIRED 2 2 0 7
B 4 BİL 2014 MULTIVARIATE DATA ANALYSIS REQUIRED 3 0 0 5
B 5 BİL 2016 MATHEMATICAL PROGRAMMING REQUIRED 2 2 0 7
B 6 TDL 1002 TURKISH LANGUAGE II REQUIRED 2 0 0 2
B 0 - ELECTIVE COURSE ELECTIVE - - - 0
TOTAL:   30
 
5 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 BİL 3009 FUZZY LOGIC AND FUZZY SETS REQUIRED 3 0 0 6
G 2 BİL 3013 INTRODUCTION TO DATA MINING REQUIRED 2 2 0 6
G 3 BİL 3015 THE DESIGN AND ANALYSIS OF ALGORITHMS REQUIRED 2 2 0 6
G 0 - ELECTIVE COURSE ELECTIVE - - - 12
TOTAL:   30
 
5 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 BİL 3101 COMPUTER GRAPHICS ELECTIVE 3 0 0 5
G 2 BİL 3103 DIGITAL SIGNAL PROCESSING ELECTIVE 3 0 0 5
G 3 BİL 3111 SOFTWARE PROJECT MANAGEMENT ELECTIVE 3 0 0 5
G 4 BİL 3113 VISUAL PROGRAMMMING LANGUAES ELECTIVE 2 2 0 5
G 5 BİL 3121 GEOGRAPHIC INFORMATION SYSTEMS (GIS) ELECTIVE 2 2 0 5
G 6 BİL 3123 DECISION SUPPORT SYSTEMS ELECTIVE 2 2 0 5
G 7 BİL 3125 OPERATIONS RESEARCH ELECTIVE 2 2 0 5
G 8 BİL 3127 MOBILE PROGRAMMING I ELECTIVE 2 2 0 5
G 9 BİL 3129 CONCEPTS OF PROGRAMMING LANGUAGES ELECTIVE 3 0 0 5
G 10 FİZ 3117 PHYSICS FOR COMPUTER SCIENCE I ELECTIVE 3 0 0 5
 
6. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 BİL 3006 COMBINATORIAL OPTIMIZATION REQUIRED 4 0 0 7
B 2 BİL 3010 COMPUTER ORGANIZATION REQUIRED 3 0 0 7
B 3 BİL 3012 COMPUTER NETWORKS REQUIRED 3 0 0 6
B 0 - ELECTIVE COURSE ELECTIVE - - - 10
TOTAL:   30
 
6 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 BİL 3102 INTRODUCTION TO TEXT AND WEB MINING ELECTIVE 3 0 0 5
B 2 BİL 3104 DIGITAL IMAGE PROCESSING ELECTIVE 3 0 0 5
B 3 BİL 3108 TIME SERIES MINING ELECTIVE 3 0 0 5
B 4 BİL 3110 SCIENTIFIC COMPUTING ELECTIVE 3 0 0 5
B 5 BİL 3112 MACHINE LEARNING ELECTIVE 3 0 0 5
B 6 BİL 3114 SOFTWARE ENGINEERING PRINCIPLES ELECTIVE 3 0 0 5
B 7 BİL 3122 CONSTRAINT PROGRAMMING ELECTIVE 3 0 0 5
B 8 BİL 3124 GAME THEORY ELECTIVE 3 0 0 5
B 9 BİL 3126 COMPUTER ALGEBRA ELECTIVE 3 0 0 5
B 10 BİL 3130 FUZZY DECISION SYSTEMS ELECTIVE 2 2 0 5
B 11 FİZ 3118 PHYSICS FOR COMPUTER SCIENCE II ELECTIVE 3 0 0 5
 
7 .Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 BİL 4009 GRADUATION PROJECT SENIOR PROJECT 2 0 0 8
G 2 BİL 4091 INTERNSHIP SUMMER TRAINING 0 0 0 8
G 0 - ELECTIVE COURSE ELECTIVE - - - 14
TOTAL:   30
 
7 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
G 1 BİL 4103 BIOINFORMATICS ELECTIVE 3 0 0 5
G 2 BİL 4105 SYSTEM ANALYSIS ELECTIVE 3 0 0 5
G 3 BİL 4107 COMPUTER GAMES ELECTIVE 3 0 0 5
G 4 BİL 4111 SOFTWARE DESIGN ELECTIVE 3 0 0 5
G 5 BİL 4115 SOFTWARE TESTING AND VERIFICATION ELECTIVE 3 0 0 5
G 6 BİL 4117 BASICS OF INTERNET OF THINGS ELECTIVE 3 0 0 5
G 7 BİL 4119 WEB PROGRAMMING ELECTIVE 2 2 0 5
G 8 BİL 4121 SIMILATION TECHNIHUES ELECTIVE 2 2 0 5
G 9 BİL 4123 SOFT COMPUTING TECHNIQUES ELECTIVE 2 2 0 5
G 10 BİL 4125 SOFTWARE DEBUGGING ELECTIVE 2 2 0 5
G 11 BİL 4127 PARALLEL COMPUTING ELECTIVE 2 2 0 5
G 12 İST 4203 STATICAL METHODS ELECTIVE 3 0 0 5
 
8. Semester:
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 0 - ELECTIVE COURSE ELECTIVE - - - 30
TOTAL:   30
 
8 .Semester: Elective Course
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
B 1 BİL 4102 DISTRUBITED ALGORITHMS ELECTIVE 3 0 0 5
B 2 BİL 4104 EXPERT SYSTEMS ELECTIVE 3 0 0 5
B 3 BİL 4106 DATA SECURITY ELECTIVE 3 0 0 5
B 4 BİL 4108 PHYSICS ELECTIVE 3 0 0 5
B 5 BİL 4112 ARTIFICIAL INTELLIGENCE ELECTIVE 3 0 0 5
B 6 BİL 4114 INTRODUCTION TO COMPUTATION THEORY ELECTIVE 3 0 0 5
B 7 BİL 4120 EMBEDDED SYSTEM PROGRAMMING ELECTIVE 2 2 0 5
B 8 BİL 4122 INTEGER PROGRAMMING ELECTIVE 2 2 0 5
B 9 BİL 4124 MOBILE PROGRAMMING II ELECTIVE 2 2 0 5
B 10 BİL 4126 SERVICE ORIENTED PROGRAMMING ELECTIVE 2 2 0 5
B 11 İST 4202 ACTUARY AND RISK MANAGEMENT ELECTIVE 3 0 0 5
 
 
FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS
Semester No Course Unit Code Course Unit Title Course Unit Type T P L ECTS
H 1 GÇD 1000 VOLUNTEERISM STUDIES FACULTY ELECTIVE COURSE 1 2 0 4
H 1 FPE 0049 SOFT COMPUTING TECHNIQUES FACULTY ELECTIVE COURSE 2 2 0 5
H 2 FPE 0050 SOFTWARE PROJECT MANAGEMENT FACULTY ELECTIVE COURSE 3 0 0 5
H 3 FPE 0051 BIOLOGICAL IMPACTS OF CLIMATE CHANGE FACULTY ELECTIVE COURSE 3 0 0 6
H 4 FPE 0052 HUMAN ANATOMY AND PHYSIOLOGY FACULTY ELECTIVE COURSE 2 0 0 6
H 5 FPE 0053 QUANTUM PHYSICS FOR EVERYONE FACULTY ELECTIVE COURSE 2 2 0 7
H 6 FPE 0054 DARK MATTER AND MYSTERIOUS OF THE UNIVERSE-I FACULTY ELECTIVE COURSE 2 2 0 7
H 7 FPE 0055 TIME SERIES MODELS FACULTY ELECTIVE COURSE 4 0 0 6
H 8 FPE 0056 ESTIMATION AND HYPOTHESIS TESTING FACULTY ELECTIVE COURSE 4 0 0 6
H 9 FPE 0057 MATERIAL CHEMISTRY FACULTY ELECTIVE COURSE 3 0 0 5
H 10 FPE 0059 DISCRETE MATHEMATICS AND ITS APPLICATIONS FACULTY ELECTIVE COURSE 3 0 0 5
H 11 FPE 0060 PROOF TECHNIQUES FACULTY ELECTIVE COURSE 2 0 0 2
H 12 FPE 0061 NANOMATERIALS AND MEDICAL APPLICATIONS FACULTY ELECTIVE COURSE 3 0 0 5
H 13 FSH 0002 PROFESSIONAL VALUES AND ETHICS FACULTY ELECTIVE COURSE 2 0 0 2
H 14 FSH 0003 PHILOSOPHY (HISTORY OF IDEAS) FACULTY ELECTIVE COURSE 2 0 0 2
H 15 FSH 0004 PHILOSOPHY OF SCIENCE FACULTY ELECTIVE COURSE 2 0 0 2
H 16 FSH 0005 INTRODUCTION TO PSYCHOLOGY FACULTY ELECTIVE COURSE 2 0 0 2
H 17 FSH 0006 HISTORY OF SCIENCE FACULTY ELECTIVE COURSE 2 0 0 2
H 18 FSH 0007 SOLUTION OF INTERPERSONAL CONFLICTS FACULTY ELECTIVE COURSE 2 0 0 2
H 19 FSH 0008 SCIENCE IN DAILY LIFE FACULTY ELECTIVE COURSE 2 0 0 2
H 20 FSH 0009 MULTISIDED THINKING FACULTY ELECTIVE COURSE 2 0 0 2
H 21 FSH 0010 INTERDISCIPLINARITY: SCIENCE, ART, GAME FACULTY ELECTIVE COURSE 2 0 0 2
H 22 FSH 0011 CREATIVITY, RD, İNNOVATION FACULTY ELECTIVE COURSE 2 0 0 2
H 23 FSH 0012 FUTURE PLANNING AND STRATEGY FACULTY ELECTIVE COURSE 2 0 0 2
H 24 FSH 0013 YOUTH ENTREPRENEURSHIP FACULTY ELECTIVE COURSE 2 0 0 2
H 25 FSH 0014 GEOPOLITICS OF TURKEY FACULTY ELECTIVE COURSE 2 0 0 2
H 26 FSH 0015 GLOBALIZATION AND THE NEW WORLD ORDER FACULTY ELECTIVE COURSE 2 0 0 2
H 27 FSH 0016 ANATOLIAN CIVILIZATIONS FACULTY ELECTIVE COURSE 2 0 0 2
H 28 FSH 0017 CULTURAL HISTORY OF THE AEGEAN FACULTY ELECTIVE COURSE 2 0 0 2
H 29 FSH 0018 MUSEUM AND ART FACULTY ELECTIVE COURSE 2 0 0 2
H 30 FSH 0019 DISCOURSE ANALYSIS FACULTY ELECTIVE COURSE 2 0 0 2
H 31 FSH 0020 MANAGEMENT FACULTY ELECTIVE COURSE 2 0 0 2
H 32 FSH 0021 ECONOMICS FACULTY ELECTIVE COURSE 2 0 0 2
H 33 FSH 0022 ACCOUNTING FACULTY ELECTIVE COURSE 2 0 0 2
H 34 FSH 0023 MARKETING FACULTY ELECTIVE COURSE 2 0 0 2
H 35 FSH 0024 BASIC LAW FACULTY ELECTIVE COURSE 2 0 0 2
H 36 FSH 0025 MONEY AND BANKING FACULTY ELECTIVE COURSE 2 0 0 2
H 37 FSH 0026 TOTAL QUALITY AND ACCREDITATION FACULTY ELECTIVE COURSE 2 0 0 2
H 38 FSH 0027 HISTORY OF TURKISH EDUCATION FACULTY ELECTIVE COURSE 2 0 0 2
H 39 FSH 0028 FLOWERING PLANTS, NATURE'S HEALING HANDS FACULTY ELECTIVE COURSE 2 0 0 2
H 40 FSH 0029 BASIC BANKING AND INFORMATION TECHNOLOGIES FACULTY ELECTIVE COURSE 2 0 0 2
H 41 FSH 0030 TECHNICAL ENGLISH FACULTY ELECTIVE COURSE 2 0 0 2
H 42 FSH 0031 TRANSLATION FACULTY ELECTIVE COURSE 2 0 0 2
H 43 FSH 0032 TEXT ANALYSIS FACULTY ELECTIVE COURSE 2 0 0 2
H 44 FSH 0033 SEMANTICS FACULTY ELECTIVE COURSE 2 0 0 2
H 45 FSH 0034 TERMINOLOGY AND TERMINOGRAPHY FACULTY ELECTIVE COURSE 2 0 0 2
H 46 FSH 0035 FINANCIAL ECONOMICS FACULTY ELECTIVE COURSE 2 0 0 2
H 47 FSH 0036 ECONOMIC GLOBALIZATION FACULTY ELECTIVE COURSE 2 0 0 2
H 48 FSH 0037 FOREIGN LANGUAGE RUSSIAN I FACULTY ELECTIVE COURSE 2 0 0 2
H 49 FSH 0038 FOREıGN LANGUAGE RUSSIAN II FACULTY ELECTIVE COURSE 2 0 0 2
H 50 FSH 0040 CHEMISTRY AND ART FACULTY ELECTIVE COURSE 2 0 0 2
H 51 FSH 0041 QUANTUM ERA FACULTY ELECTIVE COURSE 2 0 0 2
H 52 FSH 0042 BASIC STATISTICS FACULTY ELECTIVE COURSE 2 0 0 2
H 53 FSH 0043 REFLECTIONS ON MODERNLIFE FACULTY ELECTIVE COURSE 2 0 0 2
H 54 FSH 0044 SCIENTIFIC WRITING WITH LATEX FACULTY ELECTIVE COURSE 2 0 0 2
H 55 FSH 0045 INTRODUCTION TO PROGRAMMING WITH PYTHON FACULTY ELECTIVE COURSE 2 0 0 2
H 56 FSH 0046 ZOOGEOGRAPHY FACULTY ELECTIVE COURSE 2 0 0 2
H 57 FSH 0047 CREATING REPORTS AND PRESENTATIONS BY OFFICE PROGRAMS FACULTY ELECTIVE COURSE 2 0 0 2
H 58 FSH 0048 EXCEL FOR BUSINESS WORLD FACULTY ELECTIVE COURSE 2 0 0 2
H 59 FSH 0049 BIOLOGICAL IMPACTS OF CLIMATE CHANGE FACULTY ELECTIVE COURSE 2 0 0 2
H 60 İHD 1001 HUMAN RIGHTS FACULTY ELECTIVE COURSE 2 0 0 4
 

Examination Regulations, Assessment and Grading

The relevant articles of Education and Examination Regulation of Dokuz Eylül University (http://www.deu.edu.tr/DEUWeb/Icerik/Icerik.php KOD=5683) and Education and Examination Implementation Principles of the Faculty of Science (http://web.deu.edu.tr/fen/pdf/DEUFEN_OSUE_2011.pdf) are applicable for exams and course success 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

Students are required to successfully pass all courses to graduate from this four year program. This degree is awarded to all students who succeed all courses, successfully complete 20 days of practical training program and the Graduation Project, satisfy minimum 240 ECTS credits and have a minimum 2.00 / 4.00 overall Cumulative Grade Point Average (CGPA).

Mode of Study (Full-Time, Part-Time, E-Learning )

Full-time

Programme Director or Equivalent

Prof. Dr. Efendi Nasiboğlu
Dokuz Eylül University
Faculty of Science, Department of Computer Science
Tınaztepe Campus, Buca, 35280, İzmir-Turkey
Phone: +90 (232) 301 9500
E-mail: efendi.nasibov@deu.edu.tr