Dokuz Eylül University Information Package / Courses Catalog

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 (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)

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

Semester	No	Course Unit Code	Course Unit Title	Type of Course	T	P	L	ECTS
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 MAT5001 Applied Mathematics (3 0 0) or MAT5002 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:
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	STA 6015	DATA MINING TECHNIQUES IN STATISTIC	ELECTIVE	3	0	0	8
G	2	CSC 5051	CYBER-PHYSICAL SYSTEMS	ELECTIVE	3	0	0	8
G	3	CSC 5003	SYSTEM ANALYSIS AND DESIGN	ELECTIVE	3	0	0	7
G	4	CSC 5005	MATLAB PROGRAMMING WITH APPLICATIONS	ELECTIVE	3	0	0	8
G	5	CSC 5007	APPLIED MATRIX ALGORITHMS	ELECTIVE	3	0	0	8
G	6	CSC 5009	PRACTICAL PROGRAMMING WITH MATHEMATICAL MODELLING	ELECTIVE	3	0	0	8
G	7	CSC 5011	ADVANCED OBJECT-ORIENTED PROGRAMMING WITH C#	ELECTIVE	3	0	0	8
G	8	CSC 5013	BASICS OF SYSTEM PROGRAMMING	ELECTIVE	3	0	0	7
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 5023	APPLIED MODELING WITH FUZZY LOGIC	ELECTIVE	3	0	0	8
G	16	CSC 5029	SOCIAL NETWORK ANALYSIS	ELECTIVE	3	0	0	8
G	17	CSC 5035	SMART CITY INFORMATION SYSTEMS	ELECTIVE	3	0	0	8
G	18	CSC 5001	FUZZY DATA ANALYSIS	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 6016	SOFT COMPUTING TECHNOLOGIES	ELECTIVE	3	0	0	8
B	2	CSC 5036	TRANSPORTATION INFORMATION SYSTEMS	ELECTIVE	3	0	0	8
B	3	CSC 5004	INFORMATION AND ENTROPY	ELECTIVE	3	0	0	7
B	4	CSC 5008	ARTIFICIAL INTELLIGENCE OPTIMIZATION ALGORITHMS	ELECTIVE	3	0	0	8
B	5	CSC 5010	FUZZY MULTICRITERIA DECISION TECHNIQUES	ELECTIVE	3	0	0	8
B	6	CSC 5012	PRACTICAL DATABASE PROGRAMMING WITH C#)	ELECTIVE	3	0	0	8
B	7	CSC 5014	ADVANCED SCIENTIFIC COMPUTING	ELECTIVE	3	0	0	8
B	8	CSC 5016	INFORMATION SECURITY MANAGEMENT	ELECTIVE	3	0	0	8
B	9	CSC 5018	ADVANCED SOFTWARE AND APPLICATIONS SECURITY	ELECTIVE	3	0	0	8
B	10	MAT 5102	NUMERICAL AND APPROXIMATE METHODS	ELECTIVE	3	0	0	9
B	11	CSC 5006	FUZZY CLUSTERING AND CLASSIFICATION TECHNIQUES	ELECTIVE	3	0	0	8
B	12	CSC 5020	DEEP LEARNING AND CONVOLUTIONAL NEURAL NETWORKS	ELECTIVE	3	0	0	8
B	13	CSC 5026	DISCRETE STRUCTURES IN COMPUTER SCIENCE	ELECTIVE	3	0	0	8
B	14	CSC 5028	ALGEBRAIC GRAPH THEORY	ELECTIVE	3	0	0	8
B	15	CSC 5032	R PROGRAMMING FOR DATA SCIENCE	ELECTIVE	3	0	0	8
B	16	CSC 5030	COMPUTATIONAL NETWORK DESIGN	ELECTIVE	3	0	0	8
B	17	CSC 5002	THEORETICAL ASPECTS OF ALGORITHMS DESIGN AND ANALYSIS	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

Head of the Department : Prof.Dr.Efendi NASİBOĞLU
E-Mail : efendi.nasibov@deu.edu.tr
Phone : 301 95 00
Url : www.fbe.deu.edu.tr/department/csc/

DEGREE PROGRAMMES