Rapor Tarihi: 11.04.2026 04:52
| 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 | Individual counseling and guidance Research and project-based work Regular meetings with the advisor Seminars and group discussions (optional) Theoretical explanation on academic report and thesis writing techniques |
| Course Coordinator | Prof. Dr. Cengiz GÜLER, Prof. Dr. Derya SEVİM KORKUT, Prof. Dr. Nevzat ÇAKICIER, Doç. Dr. Tarık GEDİK, Prof. Dr. Ayhan TOZLUOĞLU, Prof. Dr. Mesut YALÇIN, Prof. Dr. Süleyman KORKUT, Dr. Öğr. Üyesi Muhammet ÇİL |
| Instructor(s) | Doç. Dr. Tarık GEDİK (Bahar), Doç. Dr. Tarık GEDİK (Güz), Dr. Öğr. Üyesi Muhammet ÇİL (Bahar), Dr. Öğr. Üyesi Muhammet ÇİL (Güz), Prof. Dr. Ayhan TOZLUOĞLU (Bahar), Prof. Dr. Ayhan TOZLUOĞLU (Güz), Prof. Dr. Cengiz GÜLER (Bahar), Prof. Dr. Cengiz GÜLER (Güz), Prof. Dr. Cihat TAŞÇIOĞLU (Güz), Prof. Dr. Derya SEVİM KORKUT (Güz), Prof. Dr. Mesut YALÇIN (Bahar), Prof. Dr. Mesut YALÇIN (Güz), Prof. Dr. Nevzat ÇAKICIER (Bahar), Prof. Dr. Nevzat ÇAKICIER (Güz), Prof. Dr. Süleyman KORKUT (Bahar), Prof. Dr. Süleyman KORKUT (Güz), Prof. Dr. Ümit BÜYÜKSARI (Bahar), Prof. Dr. Ümit BÜYÜKSARI (Güz) |
| Goals | The purpose of this course is to enable graduate students to investigate their own thesis topics using scientific methods, to develop their academic research skills, and to gain the competence to report research results systematically. |
| Course Content | Thesis topic selection and problem identification Literature review and critical analysis Research methods and data collection techniques Data analysis and interpretation Thesis writing techniques and academic writing rules Thesis defense and presentation techniques The course focuses on research to be conducted individually by the student within the framework of their own thesis work. |
| # | Öğrenme Kazanımı |
| 1 | Can plan the academic research process, collect data, and analyze it. |
| 2 | He/She can create a thesis draft by using literature review and critical evaluation skills. |
| 3 | Can prepare a systematic and scientific research report in accordance with thesis writing rules. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to the course, explanation of the thesis process and evaluation criteria | Research, Presentation (Preparation) |
| 2. Week | Determining the thesis topic and developing a research question | Research, Presentation (Preparation) |
| 3. Week | Literature review methods and source evaluation | Research, Presentation (Preparation) |
| 4. Week | Selection of research method (quantitative, qualitative, or mixed methods) | Research, Presentation (Preparation) |
| 5. Week | Developing a hypothesis and creating a research plan | Research, Presentation (Preparation) |
| 6. Week | Data collection techniques and planning | Research, Presentation (Preparation) |
| 7. Week | Start of research application / data collection | Research, Fieldwork |
| 8. Week | Data analysis methods and software usage | Research, Presentation (Preparation) |
| 9. Week | Interpretation of analysis results | Research, Presentation (Preparation) |
| 10. Week | Preparation of the thesis draft: introduction and literature section | Research, Presentation (Preparation) |
| 11. Week | Preparation of the thesis draft: methodology and findings section | Research, Presentation (Preparation) |
| 12. Week | Preparation of the thesis draft: discussion and conclusion section | Research, Presentation (Preparation) |
| 13. Week | Thesis draft advisor evaluation and corrections | Research, Presentation (Preparation) |
| 14. Week | Thesis presentation, feedback and general evaluation | Research, Presentation (Preparation) |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To gain a background in science, mathematics and its own engineering discipline including to use theoretical and practical knowledge in engineering solutions | ✔ | |||||
| 2 | Ability to point, identify and solve problems in its own field, choosing and applying proper analytical methods and models | ✔ | |||||
| 3 | Competence to analyze a system or a process in addition to designing and applying modern management methods under realistic restrictions | ✔ | |||||
| 4 | Choosing and utilizing modern techniques and equipments in its field involving effective use of informatics | ✔ | |||||
| 5 | Designing and applying laboratory experiments carrying data collection and analysis | ✔ | |||||
| 6 | Capability to reach knowledge and literature including searching skills for related data bases and search engines | ✔ | |||||
| 7 | Capacity to work as an individual or in a multi-disciplinary environment with respect to developing self confidence in responsibility taking | ✔ | |||||
| 8 | Developing effective verbal and written communication skills in Turkish and English | ✔ | |||||
| 9 | Ability to follow new developments and state of the art knowledge in science and technology containing self-development | ✔ | |||||
| 10 | Gaining professional and ethical responsibility | ✔ | |||||
| 11 | Competency to develop and manage projects containing work place applications, safety, work law and environmental issues | ✔ | |||||
| 12 | Having universal and social consciousness in engineering problems and applications underlining entrepreneurship and innovative values | ✔ | |||||
| 12 | Having universal and social consciousness in engineering problems and applications underlining entrepreneurship and innovative values | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 |
|---|---|---|---|
| PY1 | 5 | 5 | 5 |
| PY2 | 5 | 5 | 5 |
| PY3 | 5 | 5 | 5 |
| PY4 | 5 | 5 | 5 |
| PY5 | 5 | 5 | 5 |
| PY6 | 5 | 5 | 5 |
| PY7 | 5 | 5 | 5 |
| PY8 | 5 | 5 | 5 |
| PY9 | 5 | 5 | 5 |
| PY10 | 4 | 4 | 4 |
| PY11 | 5 | 5 | 5 |
| PY12 | 5 | 5 | 5 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Sınavlar |
Practice | 20 | 20 | 400 |
| Practice End-Of-Term | 1 | 10 | 10 | |
| Classroom Activities | 10 | 10 | 100 | |
| Total Workload | 510 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 20.0 | ||
