Rapor Tarihi: 12.04.2026 06:49
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Scientific Research Techniques And Publication Ethics | BIS521 | Turkish | Compulsory | 3 + 0 | 3.0 | 8.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Face to face |
| Course Coordinator | Prof. Dr. Şengül CANGÜR |
| Instructor(s) | |
| Goals | It shows how to calculate the appropriate sample size to ensure that the scientific research results are more reliable and more economical. |
| Course Content | Within the scope of the course, what is the nature of the scientific research, what are the characteristics of the scientific researches, what should be the scientific researches, what should be questioned in the planning stage of the scientific research, how the results should be reported, what are the basic titles and contents of the reports, Answers to questions about what they are and ethical issues to be observed in scientific researches will be discussed. |
| # | Öğrenme Kazanımı |
| 1 | Will be able to know basic concepts of science and scientific research and define research questions and hypotheses. |
| 2 | Will be able to identify and use scientific methods, its steps and techniques. |
| 3 | Will be able to understand and apply data collection principles. |
| 4 | Will be able to know research types, variable types and sampling methods, and decide on appropriate methodology. |
| 5 | Will have basic knowledge of ethics on science and research. |
| 6 | Will be able to plan research on a subject in his field in line with learned knowledge and rules, and to prepare and present a scientific report for this research. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Scientific Research Concept | |
| 2. Week | Data and Data Characteristics | Preparation, After Class Study, Other Activities |
| 3. Week | Data Collection Methods | Preparation, After Class Study, Other Activities |
| 4. Week | Causal Relations Between Variables | Preparation, After Class Study, Research, Other Activities |
| 5. Week | Determination and Types of Variables, Measurement of Variables | Preparation, After Class Study, Research, Other Activities |
| 6. Week | Stages of Research | Preparation, After Class Study, Research, Other Activities |
| 7. Week | Types of Research | Preparation, After Class Study, Research, Other Activities |
| 8. Week | Determination of Sampling Plan and Sample Size | Preparation, After Class Study, Research, Other Activities |
| 9. Week | Survey Method and Survey Application Types | Preparation, After Class Study, Research, Other Activities |
| 10. Week | Research Proposal | Preparation, After Class Study, Research, Other Activities |
| 11. Week | Coding and Analysis of Data | Preparation, After Class Study, Research, Other Activities |
| 12. Week | Preparation and Presentation of Scientific Reports | Preparation, After Class Study, Research, Other Activities |
| 13. Week | Ethical Rules in Research | Preparation, After Class Study, Other Activities |
| 14. Week | Common Mistakes in Research | Preparation, After Class Study, Other Activities |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | The biostatistics specialist will have the knowledge to help the faculty member in conducting the biostatistics course and to practice the laboratory in the faculties. | ✔ | |||||
| 2 | At high schools, the biostatistics specialist will have the knowledge, experience and experience to give the basic biostatistics course on their own | ✔ | |||||
| 3 | The biostatistics specialist will be able to ask questions, to make contributions and to criticize questions about scientific presentations at seminars, congresses or symposium. | ✔ | |||||
| 4 | Information about the field of the biostatistics specialist will be used exchange information with the thesis supervisor, transfer to the others in discussion of article and seminar presentation etc. events. | ✔ | |||||
| 5 | The biostatistics specialist will be able to consult biostatistics to thesis researches and basic scientific researches and will be able to analyze data using various statistical programs and interpret the results. | ✔ | |||||
| 6 | The biostatistics specialist will have knowledge of biostatistics that can make planning and execution of researches. | ✔ | |||||
| 7 | The biostatistics specialist will be able to make the planning, execution and reporting stages of scientific research related to his/her field alone. | ✔ | |||||
| 8 | The biostatistics specialist will be able to have knowledge of the theoretical biostatistics that can contribute to the biostatistics science and apply basic biostatistics methods. | ✔ | |||||
| 9 | The biostatistics specialist will have enough mathematical statistics knowledge to be able to decide appropriate statistical analysis and to be able to analyze the results correctly. | ✔ | |||||
| 10 | The biostatistics specialist will be able to make comments about the concept, methods and principles of biostatistics mentioned in the scientific researches obtained as a result of the literature review and will be able to give an idea about the usage in the literature. | ✔ | |||||
| 11 | The biostatistics specialist will be able to collect data to reduce health problems and improve health status of the region in which they work, to assess risk, and to identify risk factors for diseases that can make cause-outcome relationship and cause common or most death and disability, which may be comparable to previous periods and different regions. | ✔ | |||||
| 12 | The biostatistics specialist will be able to calculate, interpret and graph the necessary health statistics to protect community health and to take various measures in health services. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|---|---|---|---|---|---|
| PY1 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY2 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY3 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY4 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY5 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY6 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY7 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY8 | 1 | 1 | 1 | 1 | 1 | 1 |
| PY9 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY10 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY11 | 2 | 2 | 2 | 2 | 2 | 2 |
| PY12 | 3 | 3 | 3 | 3 | 3 | 3 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Preparation, After Class Study | 13 | 4.5 | 58.5 |
| Research | 9 | 3 | 27 | |
| Other Activities | 13 | 0.5 | 6.5 | |
|
Sınavlar |
Homework | 13 | 2 | 26 |
| Final | 1 | 2 | 2 | |
| Classroom Activities | 14 | 3 | 42 | |
| Total Workload | 204 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 8.0 | ||
