Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Master's Degree Thesis Work LEE 501 Turkish Compulsory 0 + 1 0.0 20.0
Prerequisite Courses
Course Level Graduate
Mode of delivery In person
Course Coordinator Dr. Öğr. Üyesi Ayşe Nur KART, Dr. Öğr. Üyesi Mehmet KART, Dr. Öğr. Üyesi Hakan ÖZAK, Doç. Dr. Osman AKTAN, Dr. Öğr. Üyesi Fidan ÖZBEY GÖKÇE, Prof. Dr. Feyzullah ŞAHİN
Instructor(s) Doç. Dr. Osman AKTAN (Bahar), Doç. Dr. Osman AKTAN (Güz), Dr. Öğr. Üyesi Ayşe Nur KART (Bahar), Dr. Öğr. Üyesi Ayşe Nur KART (Güz), Dr. Öğr. Üyesi Fidan ÖZBEY GÖKÇE (Bahar), Dr. Öğr. Üyesi Fidan ÖZBEY GÖKÇE (Güz), Dr. Öğr. Üyesi Hakan ÖZAK (Bahar), Dr. Öğr. Üyesi Hakan ÖZAK (Güz), Dr. Öğr. Üyesi Mehmet KART (Bahar), Dr. Öğr. Üyesi Mehmet KART (Güz), Prof. Dr. Feyzullah ŞAHİN (Bahar), Prof. Dr. Feyzullah ŞAHİN (Güz)
Goals To enable the student to conduct original research under supervision to solve a scientific problem, analyze data, and report results in a thesis format according to academic standards for final defense.
Course Content Testing hypotheses related to the thesis topic; implementation of data collection tools; statistical or qualitative analysis of data; discussion of findings; completion of the thesis according to writing guidelines and preparation for the defense.
Learning Outcomes
# Öğrenme Kazanımı
1 Collects necessary research data ethically
2 Reaches findings using advanced analytical methods.
3 Compares findings with international literature.
4 Produces work that offers an original scientific contribution.
5 Produces work that offers an original scientific contribution.
6 Academically defends the work before a scientific jury.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Starting the data collection process Preparation, After Class Study, Practice
2. Week Starting the data collection process Preparation, After Class Study, Practice
3. Week Data entry and cleaning of collected data. Practice, Other Activities
4. Week Data entry and cleaning of collected data. Practice, Other Activities
5. Week Conducting statistical or qualitative analyses. Practice, Other Activities
6. Week Conducting statistical or qualitative analyses. Research, Practice, Other Activities
7. Week Conducting statistical or qualitative analyses. Research, Practice, Other Activities
8. Week Tabulating and interpreting analysis results. Research, Practice
9. Week Tabulating and interpreting analysis results. Research, Practice
10. Week Writing the discussion and conclusion sections. Research, Practice
11. Week Writing the discussion and conclusion sections. Practice, Presentation (Preparation)
12. Week Final check according to thesis formatting guide. Preparation, After Class Study, Presentation (Preparation)
13. Week Final check according to thesis formatting guide. Practice, Other Activities, Presentation (Preparation)
14. Week Thesis submission and defense rehearsal. 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
1 Comprehending the concepts and relationships between concepts related to the field based on the competencies gained in undergraduate studies.
2 To have scientifically based theoretical and practical knowledge in the field.
3 Having knowledge of teaching strategies, methods, techniques and measurement and evaluation.
4 Using original information sources related to the field.
8 Sharing their thoughts and solutions to problems with experts and non-experts by supporting them with quantitative and qualitative data.
11 Making adaptations in the curriculum applied in general and special education according to the student's needs and performance.
14 Applying scientific strategies, methods and techniques appropriate to student needs.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5
PY1 5 5 5 5 5
PY2 5 5 5 5 5
PY3 5 5 5 5 5
PY4 5 5 5 5 5
PY8 4 4 4 4 4
PY11 4 4 4 4 4
PY14 4 4 4 4 4
Recommended Sources
Ders Kitabı veya Notu
Diğer Kaynaklar Diğer Kaynaklar bulunmamaktadır.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 1 14
Ders Dışı
Homework 14 4 56
Preparation, After Class Study 14 2 28
Research 14 6 84
Presentation (Preparation) 3 10 30
Fieldwork 10 5 50
Practice 14 3 42
Other Activities 10 5 50
Sınavlar
Final 1 36 36
Practice 10 6 60
Practice End-Of-Term 10 6 60
Total Workload 510
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 20.0