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:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 ATA 1001 PRINCIPLES OF ATATURK AND HISTORY OF THE TURKISH REVOLUTION I COMPULSORY 2 0 0 2
2 BİL 1007 INFORMATION TECHNOLOGIES AND APPLICATIONS COMPULSORY 2 2 0 4
3 BİL 1001 INTRODUCTION TO COMPUTER SCIENCE I COMPULSORY 4 0 0 7
4 BİL 1003 TECHNICAL ENGLISH I. COMPULSORY 2 0 0 3
5 FSH 0001 COMMUNICATION SKILLS COMPULSORY 2 0 0 2
6 BİL 1005 DISCRETE MATHEMATICS AND LOGIC COMPULSORY 4 0 0 6
7 MAT 1009 CALCULUS I COMPULSORY 4 0 0 6
TOTAL:   30
 
2. Semester:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 ATA 1002 PRINCIPLES OF ATATURK AND HISTORY OF THE TURKISH REVOLUTION II COMPULSORY 2 0 0 2
2 BİL 1002 INTRODUCTION TO COMPUTER SCIENCE II COMPULSORY 4 0 0 7
3 BİL 1006 LINEAR ALGEBRA AND ANALYTIC GEOMETRY COMPULSORY 4 0 0 6
4 BİL 1004 TECHNICAL ENGLISH II. COMPULSORY 2 0 0 3
5 İST 1202 STATISTICS AND PROBABILITY COMPULSORY 2 2 0 4
6 MAT 1010 CALCULUS II COMPULSORY 4 0 0 6
0 SECGRUP1 ELECTIVE COURSE GROUP 1 ELECTIVE - - - 2
TOTAL:   30
 
3. Semester:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 BİL 2005 VISUAL PROGRAMMMING LANGUAES COMPULSORY 2 2 0 5
2 BİL 2007 COMPUTER ARCHITECTURE COMPULSORY 3 0 0 5
3 TDL 1001 TURKISH LANGUAGE I COMPULSORY 2 0 0 2
4 BİL 2001 ALGORITHMS AND DATA STRUCTURES COMPULSORY 4 0 0 6
5 BİL 2003 NUMERICAL ANALYSIS COMPULSORY 4 0 0 6
6 BİL 2009 GRAPHY THEORY COMPULSORY 4 0 0 6
TOTAL:   30
 
4. Semester:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 BİL 2008 OPERATING SYSTEMS COMPULSORY 3 0 0 4
2 BİL 2004 DATABASE MANAGEMENT COMPULSORY 2 2 0 5
3 İST 2202 MULTIVARIATE DATA ANALYSIS COMPULSORY 2 2 0 5
4 BİL 2002 OBJECT ORIENTED PROGRAMMING COMPULSORY 4 0 0 7
5 BİL 2010 MATHEMATICAL PROGRAMMING COMPULSORY 4 0 0 7
6 TDL 1002 TURKISH LANGUAGE II COMPULSORY 2 0 0 2
TOTAL:   30
 
5. Semester:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 BİL 3003 INTRODUCTION TO DATA MINING COMPULSORY 4 0 0 6
2 BİL 3007 THE DESIGN AND ANALYSIS OF ALGORITHMS COMPULSORY 4 0 0 6
3 BİL 3009 FUZZY LOGIC AND FUZZY SETS COMPULSORY 3 0 0 6
0 SECGRUP2 ELECTIVE COURSE GROUP 2 ELECTIVE - - - 12
TOTAL:   30
 
6. Semester:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 BİL 3008 WEB BASED PROGRAMMING COMPULSORY 4 0 0 6
2 BİL 3002 FUZZY DECISION SYSTEMS COMPULSORY 4 0 0 7
3 BİL 3006 COMBINATORIAL OPTIMIZATION COMPULSORY 4 0 0 7
0 SECGRUP3 ELECTIVE COURSE GROUP 3 ELECTIVE - - - 10
TOTAL:   30
 
7. Semester:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 BİL 4007 GRADUATION PROJECT COMPULSORY 2 0 0 8
2 BİL 4090 STAJ COMPULSORY 0 0 0 8
0 SECGRUP4 ELECTIVE COURSE GROUP 4 ELECTIVE - - - 14
TOTAL:   30
 
8. Semester:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
0 SECGRUP5 ELECTIVE COURSE GROUP 5 ELECTIVE - - - 30
TOTAL:   30
 
ELECTIVE COURSE GROUP 1:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
0 HERDONEM EXTRA CHOSE FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS ELECTIVE - - - -
1 GSM 1003 MUSIC ELECTIVE 2 0 0 2
2 GSH 1003 FOLK DANCING ELECTIVE 2 0 0 2
3 GSR 1003 PAINTING ELECTIVE 2 0 0 2
 
ELECTIVE COURSE GROUP 2:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
0 HERDONEM EXTRA CHOSE FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS ELECTIVE - - - -
1 BİL 3101 COMPUTER GRAPHICS ELECTIVE 3 0 0 5
2 FİZ 3117 PHYSICS FOR COMPUTER SCIENCE I ELECTIVE 3 0 0 5
3 BİL 3105 GEOGRAPHIC INFORMATION SYSTEMS (GIS) ELECTIVE 3 0 0 5
4 BİL 3107 DECISION SUPPORT SYSTEMS ELECTIVE 3 0 0 5
5 BİL 3109 OPERATIONS RESEARCH ELECTIVE 3 0 0 5
6 BİL 3103 DIGITAL SIGNAL PROCESSING ELECTIVE 3 0 0 5
 
ELECTIVE COURSE GROUP 3:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
0 HERDONEM EXTRA CHOSE FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS ELECTIVE - - - -
1 BİL 3112 MACHINE LEARNING ELECTIVE 3 0 0 5
2 FİZ 3118 PHYSICS FOR COMPUTER SCIENCE II ELECTIVE 3 0 0 5
3 BİL 3108 TIME SERIES MINING ELECTIVE 3 0 0 5
4 BİL 3102 INTRODUCTION TO TEXT AND WEB MINING ELECTIVE 3 0 0 5
5 BİL 3104 DIGITAL IMAGE PROCESSING ELECTIVE 3 0 0 5
6 BİL 3110 SCIENTIFIC COMPUTING ELECTIVE 3 0 0 5
 
ELECTIVE COURSE GROUP 4:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
0 HERDONEM EXTRA CHOSE FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS ELECTIVE - - - -
1 BİL 4113 MOBILE PROGRAMMING ELECTIVE 3 0 0 5
2 BİL 4111 SOFTWARE DESIGN ELECTIVE 3 0 0 5
3 BİL 4105 SYSTEM ANALYSIS ELECTIVE 3 0 0 5
4 İST 4203 STATICAL METHODS ELECTIVE 3 0 0 5
5 BİL 4109 SOFT COMPUTING TECHNIQUES ELECTIVE 3 0 0 5
6 BİL 4107 COMPUTER GAMES ELECTIVE 3 0 0 5
7 BİL 4103 BIOINFORMATICS ELECTIVE 3 0 0 5
8 BİL 4101 SIMILATION TECHNIHUES ELECTIVE 3 0 0 5
 
ELECTIVE COURSE GROUP 5:
No Course Unit Code Course Unit Title Type of Course T P L ECTS
0 HERDONEM EXTRA CHOSE FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS ELECTIVE - - - -
1 BİL 4108 PHYSICS ELECTIVE 3 0 0 5
2 BİL 4104 EXPERT SYSTEMS* ELECTIVE 3 0 0 5
3 BİL 4106 DATA SECURITY ELECTIVE 3 0 0 5
4 BİL 4114 INTRODUCTION TO COMPUTATION THEORY ELECTIVE 3 0 0 5
5 BİL 4112 ARTIFICIAL INTELLIGENCE ELECTIVE 3 0 0 5
6 BİL 4102 DISTRUBITED ALGORITHMS ELECTIVE 3 0 0 5
7 İST 4202 ACTUARY AND RISK MANAGEMENT ELECTIVE 3 0 0 5
8 BİL 4110 COMPUTER NETWORKS ELECTIVE 3 0 0 5
 
 
 
FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS
No Course Unit Code Course Unit Title Type of Course T P L ECTS
1 FSH 0011 CREATIVITY, RD, İNNOVATION ELECTIVE 2 0 0 2
2 FSH 0034 TERMINOLOGY AND TERMINOGRAPHY ELECTIVE 2 0 0 2
3 FSH 0032 TEXT ANALYSIS ELECTIVE 2 0 0 2
4 FSH 0035 FINANCIAL ECONOMICS ELECTIVE 2 0 0 2
5 FSH 0016 ANATOLIAN CIVILIZATIONS ELECTIVE 2 0 0 2
6 FSH 0028 FLOWERING PLANTS, NATURE'S HEALING HANDS ELECTIVE 2 0 0 2
7 FSH 0040 CHEMISTRY AND ART ELECTIVE 2 0 0 2
8 FSH 0005 INTRODUCTION TO PSYCHOLOGY ELECTIVE 2 0 0 2
9 FSH 0008 SCIENCE IN DAILY LIFE ELECTIVE 2 0 0 2
10 FSH 0029 BASIC BANKING AND INFORMATION TECHNOLOGIES ELECTIVE 2 0 0 2
11 FSH 0038 FOREIGN LANGUAGE RUSSIAN II ELECTIVE 2 0 0 2
12 FSH 0018 MUSEUM AND ART ELECTIVE 2 0 0 2
13 FSH 0003 PHILOSOPHY (HISTORY OF IDEAS) ELECTIVE 2 0 0 2
14 FSH 0023 MARKETING ELECTIVE 2 0 0 2
15 FSH 0036 ECONOMIC GLOBALIZATION ELECTIVE 2 0 0 2
16 FSH 0002 PROFESSIONAL VALUES AND ETHICS ELECTIVE 2 0 0 2
17 FSH 0010 INTERDISCIPLINARITY: SCIENCE, ART, GAME ELECTIVE 2 0 0 2
18 FSH 0014 GEOPOLITICS OF TURKEY ELECTIVE 2 0 0 2
19 FSH 0019 DISCOURSE ANALYSIS ELECTIVE 2 0 0 2
20 FSH 0024 BASIC LAW ELECTIVE 2 0 0 2
21 FSH 0007 SOLUTION OF INTERPERSONAL CONFLICTS ELECTIVE 2 0 0 2
22 FSH 0009 MULTISIDED THINKING ELECTIVE 2 0 0 2
23 FSH 0015 GLOBALIZATION AND THE NEW WORLD ORDER ELECTIVE 2 0 0 2
24 FSH 0020 MANAGEMENT ELECTIVE 2 0 0 2
25 FSH 0022 ACCOUNTING ELECTIVE 2 0 0 2
26 FSH 0030 TECHNICAL ENGLISH ELECTIVE 2 0 0 2
27 FSH 0021 ECONOMICS ELECTIVE 2 0 0 2
28 FSH 0027 HISTORY OF TURKISH EDUCATION ELECTIVE 2 0 0 2
29 FSH 0004 PHILOSOPHY OF SCIENCE ELECTIVE 2 0 0 2
30 FSH 0026 TOTAL QUALITY AND ACCREDITATION ELECTIVE 2 0 0 2
31 FSH 0037 FOREIGN LANGUAGE RUSSIAN I ELECTIVE 2 0 0 2
32 FSH 0006 HISTORY OF SCIENCE ELECTIVE 2 0 0 2
33 FSH 0012 FUTURE PLANNING AND STRATEGY ELECTIVE 2 0 0 2
34 FSH 0013 YOUTH ENTREPRENEURSHIP ELECTIVE 2 0 0 2
35 FSH 0017 CULTURAL HISTORY OF THE AEGEAN ELECTIVE 2 0 0 2
36 FSH 0025 MONEY AND BANKING ELECTIVE 2 0 0 2
37 FSH 0033 SEMANTICS ELECTIVE 2 0 0 2
38 FSH 0031 TRANSLATION ELECTIVE 2 0 0 2

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