BÄ°S800 - RESEARCH STUDIES ON THESIS I
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| RESEARCH STUDIES ON THESIS I | BÄ°S800 | Any Semester/Year | 2 | 2 | 3 | 8 |
| Prequisites | None | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Question and Answer Brain Storming | |||||
| Instructor (s) | Department's members and lecturers | |||||
| Course objective | Transferring special knowledge and experience from advisor to PhD students in the scientific field of the advisor, defining problems on thesis or thesis related subjects by PhD student. PhD student will master the literature on the subject and prepare a literature review that will capture the definition and significance of the problem for at least one of the selected research topics. | |||||
| Learning outcomes |
| |||||
| Course Content | PhD student determines research subjects with his/her advisor, conducts detailed reading and discussions on those subjects and complies them. | |||||
| References | Scientific search engines | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Advisor and student determines the research subjects |
| Week 2 | Advisor and student determines the research subjects |
| Week 3 | Advisor and student determines the research subjects |
| Week 4 | Literature search in selected subjects |
| Week 5 | Literature search in selected subjects |
| Week 6 | Literature search in selected subjects |
| Week 7 | Revisiting the determined research topics in the light of literature data |
| Week 8 | Repetition of literature search if improvement/change is needed in research subjects, if not, summarizing the collected information |
| Week 9 | Selecting one of the research subjects in the light of collected information |
| Week 10 | Preparing a scientific literature review based on the performed literature search |
| Week 11 | Preparing a scientific literature review based on the performed literature search |
| Week 12 | Preparing a scientific literature review based on the performed literature search |
| Week 13 | Preparing a scientific literature review based on the performed literature search |
| Week 14 | Preparing a scientific literature review based on the performed literature search |
| Week 15 | Preparing a scientific literature review based on the performed literature search |
| Week 16 | Preparing a scientific literature review based on the performed literature search |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 14 | 10 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 14 | 40 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 50 |
| Percentage of final exam contributing grade succes | 0 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 2 | 28 |
| Laboratory | 0 | 0 | 0 |
| Application | 14 | 2 | 28 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 7 | 98 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 1 | 86 | 86 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 0 | 0 | 0 |
| Total Workload | 43 | 97 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. A person who has a degree in Biostatistics, PhD: Has the knowledge to lead research planning, execution, and finalization, staying updated on literature and current studies. | X | ||||
| 2. Has sufficient information in the field, produces notable publications by addressing gaps in literature, both theoretically and practically. | X | ||||
| 3. Asks questions about presentations, seminars, and studies at conferences or seminars, with a critical perspective. | X | ||||
| 4. Has theoretical and practical knowledge of statistics at the level of expertise to determine the appropriate statistical analysis and examine the results in-depth. | X | ||||
| 5. Be proficient in computer use and statistical software, ensuring data suitability and recommending solutions for data management and analysis methods. | X | ||||
| 6. Effectively conducts analysis issues through active participation in discussions, exchanging information with the thesis advisor, and presenting seminars. | X | ||||
| 7. Provides method suggestions in consultancy, does research planning, prepares research reports. | X | ||||
| 8. Maintains scientific accuracy and ethical values, remaining careful against any conscious or unconscious biases throughout the study. | X | ||||
| 9. Be able to present oral presentation and poster in national or international conferences. | X | ||||
| 10. Be able to write a research project proposal independently, take part in a project, write a scientific study report. | X | ||||
| 11. Be able to attend multidisciplinary studies, collaborate professionally in group settings and gain the ability to assign individuals in the group. | X | ||||
| 12. Integrates diverse disciplines to analyze and synthesize information, offering solutions. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest