Dokuz Eylül University Information Package / Courses Catalog

General Description

History

This program was established in 1994-1995. The program aims educating students who can independently collect data and produce information using both theoretical and applied statistical concepts in a graduate level. Educational facilities are offered to have a statistical point of view and contribute the solution for the problems came upon in other disciplines.

Qualification Awarded

Ph.D. in Statistics

Level of Qualification

Third Cycle (Doctorate Degree)

Specific Admission Requirements

Second Cycle (Master's Degree) diploma; to fulfill the requirements of the DEÜ The Gradeate School of Natural and Applied Sciences. Minimum score of 60 from the National Central Graduate Education Entrance Examination (ALES) in the related field; a minimum score of 70 from the graduate school entrance exam; a minimum score of 55 from the nation-wide Foreign Language Exam ( YDS/YÖKDİL ) or equivalent score from an exam accredited by YÖK.

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

4 years, 2 semesters per year, 240 ECTS in total.

Profile of the Programme

The language of instruction in statistics program is 100% English. For this reason, students who are not proficient in English must pass proficiency and level determination exam in the School of Foreign Languages. The program consists of compulsory and elective courses.

Key Learning Outcomes

1	To have an advanced level theory and application backround in statistics.
2	To have an advanced level literature knowledge about his/her dissertation .
3	To publish at least one research paper about his/her dissertation in a SCI or SCI-EXP journal.
4	To propose a new method or an approach for a problem related with his/her dissertation.
5	To be able to superwise a research which is about his/her dissertation.
6	To understand and interpret new statistical methods and approaches in a systematic manner.
7	To understand the interaction with statistics and other disciplines and to use his/her statistical backround while evaluating new ideas.
8	To defend ideas about his/her statistical research area in a professional community.
9	To have advanced communication skills in at least one foreing language as verbal, visual or written.
10	By improving the sense of statistics science in a community, to contribute the process of being an information society.

Occupational Profiles of Graduates with Examples

Public and private sector R&D 40%
Academic Institutions 40%
Finance and Insurance 20%

Access to Further Studies

May apply to post doctorate programmes.

Course Structure Diagram with Credits

Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	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 MAT5102 Numerical and Approximate Methods (3 0 0) with approval of the supervisor. In the case of one of these courses taken during the M.Sc. education, these are not obligatory. The registration must be noticed to the Institute during course registration period by the supervisor. For Ph. D. students it is obligatory to take minimum 2 non-credit courses among "Ph. D. Programs Common Elective Courses" and be successful with grade (B) within 4 semesters of course taking period.
T: Theoretical P: Practice L: Laboratory B: Spring Semester G: Fall Semester H: Full Year

1 .Semester:
G	1	MAT 5102	NUMERICAL AND APPROXIMATE METHODS	COMPULSORY	3	0	0	9
G	2	STA 5053	PROBABILITY AND STATISTICAL INFERENCE - I	COMPULSORY	3	0	0	8
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	13
TOTAL:								30

2 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	FBE 6668	PHILOSOPHY OF SCIENCE AND ETHICS	COMPULSORY	3	0	0	5
B	2	STA 5056	PROBABILITY AND STATISTICAL INFERENCE - II	COMPULSORY	3	0	0	9
B	3	STA 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
B	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	7
TOTAL:								30

3 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	STA 6094	PH.D. SEMINAR	COMPULSORY	0	3	0	5
G	2	STA 6098	PH.D. RESEARCH	COMPULSORY	3	0	0	9
G	0	-	ELECTIVE COURSE	ELECTIVE	-	-	-	16
TOTAL:								30

4 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

5 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

6 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

7 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
G	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

8 .Semester:
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
B	1	STA 6099	PH.D. THESIS	COMPULSORY	0	0	0	30
TOTAL:								30

FLEXIBLE ELECTIVE COURSE ACCORDING TO ECTS
Semester	No	Course Unit Code	Course Unit Title	Course Unit Type	T	P	L	ECTS
Z	1	STA 5021	STATISTICAL SOFTWARE İN DATA ANALYSIS	ELECTIVE	2	2	0	7
Z	2	STA 5059	STATISTICAL RESEARCH METHODOLOGY I	ELECTIVE	3	0	0	7
Z	3	STA 5069	BIO-STATISTICS	ELECTIVE	3	0	0	7
Z	4	STA 5071	STATISTICAL QUALITY CONTROL	ELECTIVE	3	0	0	7
Z	5	STA 5075	REGRESSION ANALYSIS	ELECTIVE	3	0	0	7
Z	6	STA 5079	OPERATIONS RESEARCH IN LOGISTICS	ELECTIVE	3	0	0	7
Z	7	STA 5083	DISCRETE OPTIMIZATION	ELECTIVE	3	0	0	7
Z	8	STA 5091	FINANCIAL MATHEMATICS	ELECTIVE	3	0	0	7
Z	9	STA 5093	MATHEMATICAL MODELING AND LINEAR OPTIMIZATION	ELECTIVE	3	0	0	7
Z	10	STA 6001	ADVANCED STATISTICAL INFERENCE - I	ELECTIVE	3	0	0	8
Z	11	STA 6003	ADVANCED PROBABILITY THEORY	ELECTIVE	3	0	0	8
Z	12	STA 6007	ADVANCED SAMPLING THEORY	ELECTIVE	3	0	0	8
Z	13	STA 6011	MULTIVARIATE ANALYSIS	ELECTIVE	3	0	0	8
Z	14	STA 6043	OPTIMIZATION THEORY	ELECTIVE	3	0	0	8
Z	15	STA 6045	LIFE CONTINGENCIES-I	ELECTIVE	3	0	0	8
Z	16	STA 6051	DYNAMIC PROGRAMMING	ELECTIVE	3	0	0	8
Z	17	STA 6053	HEURISTIC SEARCH METHODS	ELECTIVE	3	0	0	5
Z	18	STA 5023	CATEGORICAL DATA ANALYSIS	ELECTIVE	3	0	0	7
Z	19	STA 5025	POWER ANALYSIS OF STATISTICAL METHODS	ELECTIVE	3	0	0	7
Z	20	STA 6015	DATA MINING TECHNIQUES IN STATISTIC	ELECTIVE	3	0	0	8
Z	21	FBE 6093	ACADEMIC WRITING AND PRESENTATION TECHNICS	ELECTIVE	1	1	0	5
Z	22	FBE 6075	PLANNING AND EVALUATION IN LEARNING	ELECTIVE	1	1	0	5
Z	23	FBE 6079	MATHEMATICAL WRITING WITH LATEX	ELECTIVE	1	1	0	5
Z	24	FBE 6071	INNOVATION, INVENTION AND CREATIVITY	ELECTIVE	1	1	0	5
Z	25	FBE 6073	PROGRESS AND LEARNING	ELECTIVE	1	1	0	5
Z	26	FBE 6077	SCIENTIFIC RESEARCH AND ETHICS IN PUBLISHING	ELECTIVE	1	1	0	5
Z	27	STA 5095	STATISTICAL PROCESS DESIGN AND IMPROVEMENT	ELECTIVE	3	0	0	7
Z	28	STA 5013	TOTAL QUALITY MANAGEMENT AND AUDITING	ELECTIVE	3	0	0	7
Z	29	STA 5015	STOCHASTIC PROCESSES	ELECTIVE	3	0	0	8
Z	30	STA 5009	SAMPLING AND SURVEY DESIGN	ELECTIVE	3	0	0	8
Z	31	STA 5007	RESAMPLING METHODS	ELECTIVE	3	0	0	8
Z	32	STA 5027	STATISTICAL DEPENDENCE AND COPULA THEORY IN FINANCE	ELECTIVE	3	0	0	7
Z	33	STA 6009	ASSESSMENT OF INFLUENCE IN REGRESSION	ELECTIVE	3	0	0	8
Z	34	STA 6013	ASYMPTOTIC THEORY FOR TIME SERIES	ELECTIVE	3	0	0	8
Z	35	STA 5031	LINEAR STATISTICAL MODELS	ELECTIVE	3	0	0	8
Z	36	FBE 6095	TWENTIETH CENTURY PHILOSOPHICAL MOVEMENTS	ELECTIVE	2	0	0	5
Z	37	FBE 6097	HISTORY OF SCIENCE AND PHILOSOPHY OF SCIENCE	ELECTIVE	2	0	0	5
Z	38	STA 5107	META ANALYSIS	ELECTIVE	3	0	0	8
Z	39	STA 5105	LINEAR TIME SERIES ANALYSIS	ELECTIVE	3	0	0	8
Z	40	STA 5103	COMPUTATIONAL STATISTICS	ELECTIVE	3	0	0	8
Z	41	STA 5101	EXPLORATORY DATA ANALYSIS WITH R	ELECTIVE	3	0	0	8
Z	42	STA 5109	RELIABILITY THEORY AND METHODS	ELECTIVE	3	0	0	8
Z	43	STA 5054	NONPARAMETRIC STATISTICS	ELECTIVE	3	0	0	8
Z	44	STA 5112	STATISTICAL METHODS IN MACHINE LEARNING	ELECTIVE	3	0	0	8
Z	45	STA 5060	STATISTICAL RESEARCH METHODOLOGY - II	ELECTIVE	3	0	0	8
Z	46	STA 5068	STATISTICAL DESIGN OF EXPERIMENTS	ELECTIVE	3	0	0	8
Z	47	STA 5074	SIX SIGMA IN QUALITY MANAGEMENT	ELECTIVE	2	2	0	8
Z	48	STA 5078	NONLINEAR TIME SERIES ANALYSIS	ELECTIVE	3	0	0	8
Z	49	STA 5082	GAME THEORY	ELECTIVE	3	0	0	8
Z	50	STA 5084	NETWORK ANALYSIS	ELECTIVE	3	0	0	8
Z	51	STA 5086	INVENTORY THEORY	ELECTIVE	3	0	0	8
Z	52	STA 5088	STATISTICAL SIMULATION	ELECTIVE	3	0	0	8
Z	53	STA 5094	LOSS MODELS	ELECTIVE	3	0	0	8
Z	54	STA 6002	ADVANCED STATISTICAL INFERENCE - II	ELECTIVE	3	0	0	9
Z	55	STA 6004	ADVANCED EXPERIMENTAL DESIGN	ELECTIVE	3	0	0	8
Z	56	STA 6046	LIFE CONTINGENCIES-II	ELECTIVE	3	0	0	8
Z	57	STA 6052	MATHEMATICAL RISK THEORY	ELECTIVE	3	0	0	8
Z	58	FBE 7000	SPECIAL TOPICS	ELECTIVE	3	0	0	5
Z	59	STA 5012	NONLINEAR OPTIMIZATION	ELECTIVE	3	0	0	8
Z	60	STA 5024	ALTERNATIVE REGRESSION METHODS	ELECTIVE	3	0	0	8
Z	61	STA 6016	SOFT COMPUTING TECHNOLOGIES	ELECTIVE	3	0	0	8
Z	62	STA 5026	ROBUST ESTIMATION METHODS AND HYPOTHESIS TESTING	ELECTIVE	3	0	0	8
Z	63	FBE 6072	DATA PROCESSING	ELECTIVE	1	1	0	5
Z	64	FBE 6076	HISTORY OF NATURAL SCIENCES	ELECTIVE	1	1	0	5
Z	65	FBE 6074	PREPARING PROJECT PROPOSAL	ELECTIVE	1	1	0	5
Z	66	STA 5032	ADVANCED STATISTICAL QUALITY CONTROL	ELECTIVE	3	0	0	8
Z	67	STA 5090	SPECIAL TECHNIQUES IN QUALITY MANAGEMENT	ELECTIVE	3	0	0	8
Z	68	STA 5104	QUEUING THEORY	ELECTIVE	3	0	0	8
Z	69	STA 5102	DECISION THEORY	ELECTIVE	3	0	0	8
Z	70	STA 6018	ADVANCED STOCHASTIC PROCESSES	ELECTIVE	3	0	0	8
Z	71	STA 5106	GENERALIZED LINEAR MODELS	ELECTIVE	3	0	0	8
Z	72	STA 6054	ADVANCED TIME SERIES ANALYSIS	ELECTIVE	3	0	0	8
Z	73	FBE 6078	PHILOSOPHY OF ENVIRONMENT AND TECHNOLOGY	ELECTIVE	2	0	0	5
Z	74	FBE 6080	ETHICS OF SCIENCE	ELECTIVE	2	0	0	5
Z	75	STA 5108	ORDERED RANDOM VARIABLES	ELECTIVE	3	0	0	7
Z	76	STA 5110	SURVIVAL ANALYSIS	ELECTIVE	3	0	0	7
Z	77	STA 5058	MULTIVARIATE STATISTICS	ELECTIVE	3	0	0	8

Examination Regulations, Assessment and Grading

Related items of Dokuz Eylül 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

Third Cycle (Doctor of Philosophy) Programme is comprised of courses (at least 67 ECTS),Ph.D.Seminar (5 ECTS), Ph. D. Research (18 ECTS) / Ph. D. Thesis (150 ECTS) courses, thesis proposal, doctoral qualifying examination and thesis examination with a total credit of 240 ECTS. 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.Burcu Hüdaverdi
E-mail : istatistik@deu.edu.tr
Telephone : +90 232 - 3018510
Dokuz Eylül Üniversitesi Fen Fakültesi
Tınaztepe Kampüsü
35390 Buca / İzmir

DEGREE PROGRAMMES