Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Specialization Field Course LEE 500 Turkish Compulsory 4 + 0 0.0 10.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Student interviews, counseling, review and follow-up of process reports, review of the final report.
Course Coordinator Prof. Dr. Yeliz BAŞ, Prof. Dr. Oğuz KARA, Doç. Dr. İREM DÜZDAR
Instructor(s) Doç. Dr. İREM DÜZDAR (Bahar), Doç. Dr. İREM DÜZDAR (Güz), Prof. Dr. Oğuz KARA (Bahar), Prof. Dr. Oğuz KARA (Güz), Prof. Dr. Yeliz BAŞ (Bahar), Prof. Dr. Yeliz BAŞ (Güz)
Goals This course aims to enable students to fulfill the requirements of scientific research methodology related to the thesis topic they have chosen in consultation with their advisor.
Course Content The process involves reviewing the literature related to the thesis topic, classifying relevant publications, critically examining publications, determining research scales, designing the data collection instrument, selecting samples, planning the fieldwork, collecting data, classifying data, analyzing data, evaluating the analysis results, preparing the research report, and finalizing the thesis
Learning Outcomes
# Öğrenme Kazanımı
1 Ability To Browse Research Related To The Field.
2 Ability to Critically Review Research Articles
3 Ability to Develop Fieldwork Planning
4 Ability to Apply Scientific Research Methods
5 Veri Analizi ve Değerlendirme Yapabilme
6 Ability to Prepare Scientific Research Reports
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Content Knowledge Literature Review Research
2. Week Content Knowledge Literature Review Research
3. Week Content Knowledge Literature Review Research
4. Week Review of Literature Critiques Interview
5. Week Determining the Scales Research
6. Week Determining the Scales Interview
7. Week Selecting Samples Research
8. Week Designing a Data Collection Tool Research, Interview, Presentation (Preparation), Preparation, After Class Study
9. Week Data Collection Practice
10. Week Data Collection Practice
11. Week Data Collection Practice
12. Week Data Analysis Practice
13. Week Evaluation of Analysis Results Research, Fieldwork
14. Week Preparation of Analysis Reports Research, Presentation (Preparation), Preparation, After Class Study
15. Week Finalizing the Thesis Interview, Presentation (Preparation)
*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.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
3 Changes can be realised to satisfy the objectives of individual customers and corporate customers,
6 Can plan for the effective use and management of digital media tools.
11 Behaviour analysis and analyses can be performed by using data mining and web/mobile based applications.
12 More effective data collection, analysis, evaluation, solution, transformation and satisfaction with real-time and fully personalised marketing applications by adapting machine learning technology
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6
PY3 1 1 1 1 1 1
PY6 2 2 2 2 2 2
PY11 5 5 5 5 5 5
PY12 3 3 3 3 3 3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Research Methods
  • Research Methodology
  • Qualitative Research Methods
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 4 56
Ders Dışı
Preparation, After Class Study 14 5 70
Research 14 5 70
Presentation (Preparation) 14 4 56
Fieldwork 3 6 18
Sınavlar
Final 1 4 4
Total Workload 274
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 10.0