Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Thesis Proposal LEE 605 Turkish Compulsory 0 + 0 0.0 10.0
Prerequisite Courses
Course Level Graduate
Mode of delivery FaceTo face
Course Coordinator Doç. Dr. İREM DÜZDAR, Dr. Öğr. Üyesi Yusuf ARSLAN
Instructor(s)
Goals It aims to produce knowledge at the doctoral level, conduct independent research and present scientific results in an academic thesis format. In this process, students' academic writing, analysis and result reporting skills are developed.
Course Content It includes the stages, objectives and evaluation criteria required for the doctoral student to successfully carry out the thesis process.
Learning Outcomes
# Öğrenme Kazanımı
1 Have advanced knowledge in research areas
2 Selects and applies appropriate methods in data analysis.
3 They manage the research process from start to finish and defend the findings in an academic setting.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Clarification of the Research Topic Interview
2. Week Comprehensive Literature Review Preparation, After Class Study, Research
3. Week Finalization of Research Questions and Hypotheses Preparation, After Class Study, Interview
4. Week Finalization of Research Questions and Hypotheses Interview, Presentation (Preparation)
5. Week Thesis Draft Preparation Interview, Practice
6. Week Development of Research Methodology Preparation, After Class Study, Research
7. Week Development of Research Methodology Preparation, After Class Study, Practice
8. Week Development of Research Methodology Interview, Presentation (Preparation)
9. Week Data Collection Planning and Ethical Rules Research, Interview
10. Week Data Collection Planning and Ethical Rules Research, Interview, Presentation (Preparation)
11. Week Initiating the Data Analysis Process Preparation, After Class Study, Research
12. Week Initiating the Data Analysis Process Research, Interview
13. Week Initiating the Data Analysis Process Research, Interview
14. Week Interpretation and Writing of Data Analysis Results Interview, Presentation (Preparation), Practice
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Databases such as Google Scholar, Scopus, JSTOR for literature searching and locating sources
  • Data analysis software (SPSS, R, NVivo etc.) and user guides
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 1 14
Sınavlar
Midterm 1 10 10
Homework 13 10 130
Final 1 3 3
Practice 14 4 56
Practice End-Of-Term 1 3 3
Classroom Activities 13 3 39
Total Workload 255
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 10.0