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Third Cycle Programmes (Doctorate Degree)

Graduate School of Natural and Applied Sciences - Statistics - - Third Cycle Programme

General Description

The Department of Statistics is established as the seventh department of the Faculty of Science at Ege University and the department has begun undergraduate education between 1987 and 1988. Approximately 550 students in the department are educated by a scientific committee which consists of 17 members such as 2 professor, 6 associate professor, 2 assistant professors, 1 lecturers and 5 research assistants The main objective of the department is to offer a well-balanced statistics program for prospective statisticians who may work in various fields including university teaching. The aim of the program offered by The Department of Statistics is two-fold: First is to provide its students with a firm foundation in the theory and application of the basic techniques of statistics; second is to ensure that students acquire a background knowledge in the other social sciences. The development of the student’s power of analytical reasoning is the major aim of the department.

The Doctorate Degree in ( Department Name ) awarded to the graduates who have successfully full filled all programme requirements.

Length of Programme

4 Year, 8 Semesters

Total Credits

240 ECTS

Level of Qualification According to the National Qualification Framework and the European Qualifications Framework

EQF-LLL 8

0542-Statistics

PhD

Acceptance and registration conditions for doctorate programs are stated in the EGE UNIVERSITY GRADUATE EDUCATION REGULATION. The number of students to be admitted to the doctorate program and the qualifications required for candidate students are announced before the beginning of each semester. In this announcement, the application conditions and the deadline, the place and date of the candidates are stated. The equivalence of undergraduate diplomas obtained from abroad must be approved by the Council of Higher Education (YÖK).

EGE UNIVERSITY GRADUATE EDUCATION REGULATION is taken as a basis in the acceptance of students through undergraduate transfer from another department of the same institute at the university or from a graduate program affiliated to another higher education institution's equivalent institute.

Graduation requirements are explained in EGE UNIVERSITY GRADUATE EDUCATION REGULATION.

The student should pass courses of totally at least 21 credits in maximum 4 semesters. Then, student should pass the PhD Qualifying exam. Finally, student starts the thesis process which should be verified by the PhD committee at least 3 times. Student can take extension in time depending on his/her situation.

The graduates can work as an experiment organizer in planning units making quantitative analysis, in insurance companies, in various sectors in industry, in quality control departments, in stage of technology improvement, in research and consultancy companies, in the sectors about agriculture and industrial design. Therefore, they can employ in many public institutes in which evaluations are made such as State Planning Organization, Ministry of Industrial and Commerce, State Institute of Statistics, Institute of Standards, Employment Agency, in banks and in individual companies.

Graduates who succesfully completed doctorate degree may apply to both in the same or related disciplines in higher education institutions at home or abroad to get a position in academic staff or to governmental R&D centres to get expert position.

Measurement and evaluation methods that is applied for each course, is detailed in EGE UNIVERSITY GRADUATE EDUCATION REGULATION and EGE UNIVERSITY MEASUREMENT AND EVALUATION PRESCRIPTION. Measurement and evaluation methods that is applied for each course, is detailed in "Course Curriculum".

Graduation requirements are explained in EGE UNIVERSITY GRADUATE EDUCATION REGULATION.

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

Full Time

Head of the Department: Prof. Dr. Ali MERT Ege University Faculty of Science Department of Statistics 35100 Bornova Izmir Turkey phone: +90 232 311 5407 e-mail: ali.mert@ege.edu.tr Programme Director: Assoc. Prof. Dr. Funda İŞÇİOĞLU Ege University Faculty of Science Department of Statistics 35100 Bornova Izmir Turkey phone: +90 232 311 1723 e-mail: funda.iscioglu@ege.edu.tr

2 Computer Laboratories with a capacity of 48 and 8 computers 4 Amphi Classrooms 1 Seminar Hall 1 Meeting Hall 1 Guest Room 1 Graduate Student Room are available.

Key Learning Outcomes

1 To be able to conduct research in the chosen field, to create experimental designs, to carry out the experiments their designed, to collect and analyze data, to interpret the results and to develop research based on solution offers.
2 Ability to contact with verbal and written communication at least one foreign language, gaining knowledge and skills to use foreign publications in their studies or homework
3 To have the ability to work interdisciplinary and to adapt the theories, methods and applications in different fields to the related scope.
4 Necessity of lifelong learning and being able to realize it.
5 To be conscious complying with social sensitivity and ethical values.
6 The ability to produce scientific publications and projects and to make efficient presentations in Scientific meetings.
7 The ability to design a course, to present it in an effcetive way, and to do the measurement and evaluation correctly.

Key Programme Learning Outcomes - NQF for HE in Turkey

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Key Learning Outcomes
1
2
3
4
5
6
7
KNOWLEDGE
1
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
SKILLS
1
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
4
 
 
 
 
 
 
 
COMPETENCES ( Competence to Work Independently and Take Responsibility )
1
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
COMPETENCES ( Learning Competence )
1
 
 
 
 
 
 
 
COMPETENCES ( Communication and Social Competence )
1
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 
COMPETENCES ( Field Specific Competence )
1
 
 
 
 
 
 
 
2
 
 
 
 
 
 
 
3
 
 
 
 
 
 
 

Course Structure Diagram with Credits (60 ECTS per Full-Time Academic Year)

T : Theoretical P: Practice L: Laboratory
1. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9101056092008 Turkish Advanced Statıstıcs Theory Compulsory 3 - - 8
FENETKFEN2021 Turkish Scıentıfıc Research Methods wıth Research and Publıcatıon Ethıcs Compulsory 2 - - 4
FENORYT2023 Turkish Graduate Programmes Process Management Compulsory - - - 2
İST-SG-DOK-G Turkish ELECTIVE COURSES 1 Elective - - - -
Total 5 0 0 14
2. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
FENDRSEM1 Turkish SEMINAR I Compulsory 1 - - 6
İST-SG-DOK-4 Turkish ELECTIVE COURSES 2 Elective - - - -
Total 1 0 0 6
3. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRUAD0 Turkish Specıalızatıon Fıeld Compulsory - - - 5
FENDRYET790 Turkish Qualıfyıng Exam Compulsory - - - 25
Total 0 0 0 30
4. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
FENDRSEM2 Turkish Semınar II Compulsory 1 - - 6
FENDRTEZONE Turkish Thesıs Proposal Defense Compulsory - - - 24
Total 1 0 0 30
5. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ1 Turkish Thesıs Study Compulsory - - - 25
DRUAD1 Turkish Specıalızatıon Fıeld Compulsory - - - 5
Total 0 0 0 30
6. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ2 Turkish Thesıs Study Compulsory - - - 25
DRUAD2 Turkish Specıalızatıon Fıeld Compulsory - - - 5
Total 0 0 0 30
7. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ3 Turkish Thesıs Study Compulsory - - - 25
DRUAD3 Turkish Specıalızatıon Fıeld Compulsory - - - 5
Total 0 0 0 30
8. Semester
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
DRTEZ4 Turkish Thesıs Study Compulsory - - - 25
DRUAD4 Turkish Specıalızatıon Fıeld Compulsory - - - 5
Total 0 0 0 30
İST-SG-DOK-G - ELECTIVE COURSES 1
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9101056032007 Turkish Advanced Samplıng Methods Elective 3 - - 7
9101056052015 Turkish Response Surface Methods Elective 3 - - 8
9101056112007 Turkish Statıstıcal Inference Elective 3 - - 7
9101056172010 Turkish Computer Applıcatıons of Nonlınear Optımızatıon Problems Elective 3 - - 8
9101056192020 English İstatıstık Teorısı ve Uygulamaları Elective 3 - - 8
EBB6852017 Turkish Development and Learnıng Elective 3 - - 4
İST-SG-DOK-4 - ELECTIVE COURSES 2
Course Unit Code Language of Instruction Course Unit Title Type of Course Unit T P L Number of ECTS Credits Report
9101056042010 Turkish Statıstıcal Technıques ın Qualıty Control Elective 3 - - 8
9101056142007 Turkish Advance Stochastıc Processes Elective 3 - - 8
9101056182010 Turkish Advanced Optımızatıon Technıques Elective 3 - - 8
9101056202010 Turkish Combınatorıal Analysıs and Dıscrete Dıstrıbutıons Elective 3 - - 8
9101056242020 English Dayanıklı İstatıstıkler Teorısı Elective 3 - - 8
9101056262021 English Probabılıty and Statıstıcal Approaches ın Relıabılıty Engıneerıng Elective 3 - - 8
910156062015 Turkish Fuzzy Relıabılıty Analysıs Elective 3 - - 8
EBB6832017 Turkish Plannıng and Assesment ın Educatıon Elective 3 2 - 6