DEGREE PROGRAMMES

: Computer Science

General Description

History

Department of Computer Science master program was established in 2014-2015 and has started training.

Qualification Awarded

M.Sc. in Computer Science

Level of Qualification

Second Cycle (Master's Degree)

Specific Admission Requirements

First Cycle Degree in the same or in related disciplines, Transcript, 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 cycle cumulative grade point average (GPA) and ALES score. The exceptions to the requirements of ALES and Foreign Language Proficiency scores is announced by the Graduate School. However, ALES requirement is waived for the admissions to the second cycle graduate programs offered by the Conservatory and the departments of Fine Arts Faculty, where students are admitted only by the Artistic Aptitude Test as well as for the graduates of doctorate /arts proficiency/medical residency/ dental residency/ veterinary residency/ pharmaceutical residency programs. 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)

Transfer Students:
The transfer student candidates from Turkish or foreign universities are subject to the YOK Legislation "The transfer, double degree, minor degree and inter-institutional credit transfer" and to the evaluation conditions determined by Dokuz Eylul University Senate.
The transfer quotas are determined and announced by Turkish Higher Education Council (YOK). The evaluation of the candidates are done by the school evaluation commmisin and approved by the management

The Graduate Transfers:
The short cycle graduates are given the right to be admitted to the first cycle programs if they comply with the conditions set by the "The transfer of Short Cycle Program Graduates to First Cycle Programs" Legilation of Turkish Higher Education Council (YOK)
The universities inform YOK regarding the quotas and YOK announces the quotas and conditions in "Graduate Transfer Guide" and the placements are managed by YOK due to the results of nationwide graduate transfer exam.

According to the Regulations of Dokuz Eylül University for Graduate Schools, students are not connected to the right for internal transfer, previously taken courses at another graduate programme by another university with a successful grade may be
recognized by the related programmes after the letter of the students includes course contents and the transcript, and by the recommendation of the head of the departments and by the decision of the Board of Directors. The courses taken by the outgoing
Exchange students have the recognition at the school either as compulsory or elective.

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 program scope is mainly computer mathematics, large-scale data analysis and intelligent decision systems. Training professionals who are able to use soft computing, data mining, artificial intelligence, fuzzy logic, management support systems, bioinformatics etc. and also to use them in practice to conduct scientific research and development is the main objective of the program. For this purpose, each having a capacity of 40 students 3 computer laboratories in which every computer including MS Windows and Linux operating systems and software such as MS Office, SPSS, Minitab, Weka, SPSS Clementine, MS Visual Studio, MS SQL Server, MATLAB etc.have been used for lessons. Students who graduate from this program will be able to generate new knowledge by analyzing and evaluating data. Percentage of Courses Taught in English: 30%.

Key Learning Outcomes

1   Possess the necessary knowledge for making analysis, synthesis, modeling, choosing a suitable method, theoretical and practical work in computer science.
2   Reach information by conducting scientific research in Information Technology and use the advanced theoretical and practical knowledge obtained, correctly
3   Plan and conduct academic research and share the scientific work at the national and international level, verbally and in writing
4   Develop and apply innovative ideas, methods or approaches to solve computer science problems.
5   Become master in algorithmic solution methods and programming language.
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   Have the necessary awareness of the social and environmental dimensions of Information Technology applications at the global and communal level
10   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

This degree enables the holder to exercise the profession in the public or private sector.

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) 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 5555 SCIENTIFIC RESEARCH TECHNIQUES AND PUBLICATION ETHICS COMPULSORY 3 0 0 5
G 0 - ELECTIVE COURSE ELECTIVE - - - 25
TOTAL:   30
 
1 .Semester Elective:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 CSE 5083 ANALYSIS OF ALGORITHMS ELECTIVE 3 0 0 8
G 2 CSC 5033 INTRODUCTION TO INTELLIGENT SYSTEMS ELECTIVE 3 0 0 8
G 3 STA 6015 DATA MINING TECHNIQUES IN STATISTIC ELECTIVE 3 0 0 8
G 4 CSE 5065 SECURITY AND PRIVACY ENGINEERING ELECTIVE 3 0 0 8
G 5 CSC 5003 SYSTEM ANALYSIS AND DESIGN ELECTIVE 3 0 0 7
G 6 CSC 5005 MATLAB PROGRAMMING WITH APPLICATIONS ELECTIVE 3 0 0 8
G 7 CSC 5009 PRACTICAL PROGRAMMING WITH MATHEMATICAL MODELLING ELECTIVE 3 0 0 8
G 8 CSC 5011 ADVANCED OBJECT-ORIENTED PROGRAMMING WITH C# ELECTIVE 3 0 0 8
G 9 CSC 5015 QUANTITATIVE METHODS IN RISK MANAGEMENT ELECTIVE 3 0 0 8
G 10 CSC 5017 SECURE SOFTWARE DESIGN AND PROGRAMMING ELECTIVE 3 0 0 8
G 11 CSC 5019 SOFTWARE REQUIREMENTS ENGINEERING ELECTIVE 3 0 0 8
G 12 CSC 5021 ADVANCED INFORMATION SECURITY ELECTIVE 3 0 0 8
G 13 EEE 5129 RANDOM VARIABLES AND STOCHASTIC PROCESSES ELECTIVE 3 0 0 9
G 14 MAT 5101 APPLIED MATHEMATICS ELECTIVE 3 0 0 9
G 15 CSC 5029 SOCIAL NETWORK ANALYSIS ELECTIVE 3 0 0 8
G 16 CSC 5035 SMART CITY INFORMATION SYSTEMS ELECTIVE 3 0 0 8
G 17 CSC 5051 CYBER-PHYSICAL SYSTEMS ELECTIVE 3 0 0 8
G 18 CSC 5053 FUZZY DATA ANALYSIS ELECTIVE 3 0 0 8
G 19 CSC 5055 APPLIED MODELING WITH FUZZY LOGIC ELECTIVE 3 0 0 8
G 20 CSC 5057 BASICS OF SYSTEM PROGRAMMING ELECTIVE 3 0 0 7
G 21 CSC 5025 APPLIED MATRIX ALGORITHMS ELECTIVE 3 0 0 8
G 22 CSC 5027 SPECIAL TOPICS IN COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING ELECTIVE 3 0 0 8
G 23 CSC 5031 GRAPH THEORY TECHNIQUES IN MATHEMATICAL MODELLING ELECTIVE 3 0 0 8
G 24 CSE 6013 ADVANCED EVOLUTIONARY COMPUTATION ELECTIVE 3 0 0 8
 
2 .Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 CSC 5096 M.SC. SEMINAR COMPULSORY 0 2 0 3
B 2 CSC 5098 M.SC. RESEARCH COMPULSORY 2 0 0 3
B 0 - ELECTIVE COURSE ELECTIVE - - - 24
TOTAL:   30
 
2 .Semester Elective:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
B 1 STA 5012 NONLINEAR OPTIMIZATION ELECTIVE 3 0 0 8
B 2 CSC 5052 COMMUNICATION NETWORKS AND VULNERABILITY ELECTIVE 3 0 0 8
B 3 CSC 5004 INFORMATION AND ENTROPY ELECTIVE 3 0 0 7
B 4 CSC 5010 FUZZY MULTICRITERIA DECISION TECHNIQUES ELECTIVE 3 0 0 8
B 5 CSC 5014 ADVANCED SCIENTIFIC COMPUTING ELECTIVE 3 0 0 8
B 6 CSC 5016 INFORMATION SECURITY MANAGEMENT ELECTIVE 3 0 0 8
B 7 CSC 5018 ADVANCED SOFTWARE AND APPLICATIONS SECURITY ELECTIVE 3 0 0 8
B 8 MAT 5102 NUMERICAL AND APPROXIMATE METHODS ELECTIVE 3 0 0 9
B 9 CSC 5020 DEEP LEARNING AND CONVOLUTIONAL NEURAL NETWORKS ELECTIVE 3 0 0 8
B 10 CSC 5026 DISCRETE STRUCTURES IN COMPUTER SCIENCE ELECTIVE 3 0 0 8
B 11 CSC 5028 ALGEBRAIC GRAPH THEORY ELECTIVE 3 0 0 8
B 12 CSC 5030 COMPUTATIONAL NETWORK DESIGN ELECTIVE 3 0 0 8
B 13 CSC 5036 TRANSPORTATION INFORMATION SYSTEMS ELECTIVE 3 0 0 8
B 14 CSC 5038 FUZZY CLUSTERING AND CLASSIFICATION TECHNIQUES ELECTIVE 3 0 0 8
B 15 CSC 5040 PRACTICAL DATABASE PROGRAMMING WITH C# ELECTIVE 3 0 0 8
B 16 CSC 5042 THEORETICAL ASPECTS OF ALGORITHMS DESIGN AND ANALYSIS ELECTIVE 3 0 0 8
B 17 CSC 5024 ARTIFICIAL INTELLIGENCE OPTIMIZATION ALGORITHMS ELECTIVE 3 0 0 8
B 18 CSC 5034 R PROGRAMMING FOR DATA SCIENCE ELECTIVE 3 0 0 8
B 19 CSC 5044 EXTRAMAL PROBLEMS AND SPECIAL GRAPHS ELECTIVE 3 0 0 8
B 20 CSC 5046 INTELLIGENT SYSTEM APPLICATIONS USING FUZZY LOGIC ELECTIVE 3 0 0 8
B 21 CSC 5048 ADVANCED COMBINATORIAL OPTIMIZATION : PROBLEMS AND METHODS ELECTIVE 3 0 0 8
B 22 CSC 5050 INFORMATION AGGREGATION METHODS WITH FUZZY APPROACHES ELECTIVE 3 0 0 8
B 23 STA 6016 SOFT COMPUTING TECHNOLOGIES ELECTIVE 3 0 0 8
 
3.Semester:
Semester No Course Unit Code Course Unit Title Type of Course T P L ECTS
G 1 CSC 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 CSC 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

Prof. Dr. Murat Erşen BERBERLER
Dokuz Eylül University
Faculty of Science, Department of Computer Science
Phone: +90 (232) 301 9500
E-mail: murat.berberler@deu.edu.tr