| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | SAK212.5B | Research Methods and Techniques | Elective | 2 | 4 | 4 |
|
| Level of Course Unit |
| Short Cycle |
| Objectives of the Course |
| It is aimed that the students gain knowledge about the general principles of epidemiology, its historical development, epidemiological research types and usage areas. It is aimed that they can make basic statistics and read critical articles. |
| Name of Lecturer(s) |
| Dr. Öğr. Üyesi Nagİhan KÖROĞLU KABA |
| Learning Outcomes |
| 1 | To be able to count the importance of epidemiology and the epidemiological studies that have led to important discoveries in the historical development process, | | 2 | Define epidemiology and its strategies, | | 3 | Should be able to list the usage areas and data sources of epidemiology | | 4 | To be able to explain epidemiological research methods and types | | 5 | To be able to list the usage areas of descriptive studies, to determine the place of this type of research among other research methods. |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| It is aimed that the students gain knowledge about the general principles of epidemiology, its historical development, epidemiological research types and usage areas. It is aimed that they can make basic statistics and read critical articles. |
| Weekly Detailed Course Contents |
|
| 1 | epidemiology concept | None | None | | 2 | Definition and framework of scientific research | None | None | | 3 | Basic concepts of scientific research | None | None | | 4 | Approaches in scientific research | None | None | | 5 | Scientific research types and models | None | None | | 6 | Data collection techniques and tools in scientific research | None | None | | 7 | Data analysis techniques and tools in scientific research | None | None | | 8 | Midterm | None | None | | 9 | SPSS data coding and analysis | None | None | | 10 | Cultural analytics | None | None | | 11 | Big data and data analytics | None | None | | 12 | Research design and management | None | None | | 13 | Research design and management | None | None | | 14 | Research design and management | None | None | | 15 | An overview | | |
|
| Recommended or Required Reading |
| Prof. Dr. Rauf Arıkan, Araştırma Yöntem ve Teknikleri |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 2 | 28 |
| Discussion | 14 | 1 | 14 |
| Brain Storming | 14 | 1 | 14 |
| Self Study | 14 | 1 | 14 |
| Individual Study for Mid term Examination | 7 | 1 | 7 |
| Individual Study for Final Examination | 14 | 1 | 14 |
| Reading | 14 | 1 | 14 |
| Homework | 7 | 1 | 7 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 2 | 3 | 4 | 3 | 3 | 3 | 2 | 2 | 3 | 2 | | LO2 | 2 | 2 | 3 | 3 | 3 | 4 | 2 | 2 | 2 | 3 | | LO3 | 3 | 3 | 4 | 2 | 3 | 2 | 2 | 2 | 3 | 3 | | LO4 | 2 | 3 | 2 | 4 | 4 | 3 | 4 | 2 | 4 | 3 | | LO5 | 2 | 5 | 3 | 3 | 3 | 4 | 3 | 3 | 3 | 3 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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