Rapor Tarihi: 13.04.2026 07:03
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Research Methodology In Busıness | TOY206 | Turkish | Compulsory | 4. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face-to-face |
| Course Coordinator | Doç. Dr. Yıldırım YILDIRIM |
| Instructor(s) | Doç. Dr. Yıldırım YILDIRIM (Bahar) |
| Goals | To equip students with the ability and skills to prepare a scientific paper |
| Course Content | An introduction to fundamental topics such as science, scientific knowledge, and research The scientific research process; characteristics of a good research process Defining the research problem (topic); approaches to selecting a topic Understanding the concepts of hypothesis, variable, induction, and deduction Types of hypotheses; quantitative and qualitative; dependent and independent; continuous and categorical variables Population and sampling, determining sample size, probabilistic and non-probabilistic sampling techniques Critical review of sources, which sources should be examined, knowledge of literature review MIDTERM EXAM Data in scientific research, data sources, primary and secondary data – their strengths and weaknesses Survey, observation, and interview methods; types of surveys; types of survey questions; word choice errors Measurement and scales in the scientific research process; types of scales; their characteristics Measurement errors, data cleaning, coding, and statistical analysis Classification of analytical techniques – parametric and non-parametric analytical techniques Concepts of data reliability, validity, and credibility in scientific research |
| # | Öğrenme Kazanımı |
| 1 | To gain an understanding of the processes involved in the production of scientific knowledge |
| 2 | Develop the ability to conduct research and present findings |
| 3 | Be able to derive practical insights from the relevant literature |
| 4 | Understand the data analysis process |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | An introduction to fundamental topics such as science, scientific knowledge, and research | Preparation, After Class Study, Research, Other Activities |
| 2. Week | The scientific research process; characteristics of a good research process | Preparation, After Class Study, Research, Other Activities |
| 3. Week | Defining the research problem (topic); approaches to selecting a topic | Preparation, After Class Study, Research, Other Activities |
| 4. Week | Understanding the concepts of hypothesis, variable, induction, and deduction | Preparation, After Class Study, Research, Other Activities |
| 5. Week | Types of hypotheses; quantitative and qualitative; dependent and independent; continuous and categorical variables | Preparation, After Class Study, Research, Other Activities |
| 6. Week | Population and sampling, determining sample size, probabilistic and non-probabilistic sampling techniques | Preparation, After Class Study, Research, Other Activities |
| 7. Week | Critical review of sources, which sources should be examined, knowledge of literature review | Preparation, After Class Study, Research, Other Activities |
| 8. Week | Overall assessment and question-answer | Preparation, After Class Study |
| 9. Week | Data in scientific research, data sources, primary and secondary data – their strengths and weaknesses | Preparation, After Class Study, Research, Other Activities |
| 10. Week | Survey, observation, and interview methods; types of surveys; types of survey questions; word choice errors | Preparation, After Class Study, Research, Other Activities |
| 11. Week | Measurement and scales in the scientific research process; types of scales; their characteristics | Preparation, After Class Study, Research, Other Activities |
| 12. Week | Measurement errors, data cleaning, coding, and statistical analysis | Preparation, After Class Study, Research, Other Activities |
| 13. Week | Classification of analytical techniques – parametric and non-parametric analytical techniques | Preparation, After Class Study, Research, Other Activities |
| 14. Week | Concepts of data reliability, validity, and credibility in scientific research | Preparation, After Class Study, Research, Other Activities |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Comprehensive and systematic knowledge of concepts, theories, principles, and phenomena related to tourism management. | ✔ | |||||
| 2 | The general structure of the tourism sector, it's functioning, and its importance in the development of the country. | ✔ | |||||
| 3 | To have information about the tourist values in the world and in Turkey and to evaluate these values in terms of tourism supply and demand. | ✔ | |||||
| 5 | Makes predictions of the sector by following the developments in Turkey and the world economy and tourism. | ✔ | |||||
| 11 | With his theoretical and practical experience in his field; has the ability to access information, analyze, synthesize and interpret, and produce solutions to problems. | ✔ | |||||
| 11 | With his theoretical and practical experience in his field; has the ability to access information, analyze, synthesize and interpret, and produce solutions to problems. | ✔ | |||||
| 12 | Uses information and communication technologies, software, tools and equipment related to the field and maintains them when necessary. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 |
|---|---|---|---|---|
| PY1 | 3 | 3 | 3 | 3 |
| PY2 | 3 | 3 | 3 | 3 |
| PY3 | 3 | 3 | 3 | 3 |
| PY5 | 4 | 4 | 4 | 4 |
| PY11 | 5 | 5 | 5 | 5 |
| PY12 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu |
|
|---|---|
| Diğer Kaynaklar | Diğer Kaynaklar bulunmamaktadır. |
| Bahar Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Doç. Dr. Yıldırım YILDIRIM | Vize | 40.00 | |
| Doç. Dr. Yıldırım YILDIRIM | Final | 60.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Homework | 5 | 3 | 15 |
| Research | 5 | 3 | 15 | |
|
Sınavlar |
Midterm | 1 | 3 | 3 |
| Homework | 5 | 5 | 25 | |
| Final | 1 | 3 | 3 | |
| Classroom Activities | 5 | 5 | 25 | |
| Total Workload | 128 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 5.0 | ||
