BÄ°S700-02 - THESIS WORK
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
THESIS WORK | BÄ°S700-02 | 6th Semester | 5 | 0 | 0 | 30 |
Prequisites | Having completed the PhD courses and passed the PhD proficiency exam | |||||
Course language | Turkish | |||||
Course type | Must | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Discussion Preparing and/or Presenting Reports | |||||
Instructor (s) | Department's members and lecturer | |||||
Course objective | Preparing and presenting of the selected thesis topic | |||||
Learning outcomes |
| |||||
Course Content | Selecting the thesis topic, Reviewing all the references with the selected topic, Preparing the research proposal, Analyzing application data, concluding from the research, reporting all the research results | |||||
References | All references according to selected thesis topic |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Preparing the research proposal, |
Week 2 | Preparing the research proposal, |
Week 3 | Preparing the research proposal, |
Week 4 | Preparing the research proposal, |
Week 5 | Preparing the research proposal, |
Week 6 | Obtaining the application data for thesis |
Week 7 | Obtaining the application data for thesis |
Week 8 | Obtaining the application data for thesis |
Week 9 | Obtaining the application data for thesis |
Week 10 | Obtaining the application data for thesis |
Week 11 | Obtaining the application data for thesis |
Week 12 | Obtaining the application data for thesis |
Week 13 | Analyzing of the data |
Week 14 | Analyzing of the data |
Week 15 | Analyzing of the data |
Week 16 | Analyzing of the data |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 10 | 40 |
Specific practical training | 0 | 0 |
Assignments | 0 | 0 |
Presentation | 5 | 40 |
Project | 0 | 0 |
Seminar | 1 | 20 |
Midterms | 0 | 0 |
Final exam | 0 | 0 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 16 | 100 |
Percentage of final exam contributing grade succes | 0 | 0 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 5 | 70 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 14 | 20 | 280 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 10 | 140 |
Presentation / Seminar Preparation | 6 | 50 | 300 |
Project | 0 | 0 | 0 |
Homework assignment | 0 | 0 | 0 |
Midterms (Study duration) | 0 | 0 | 0 |
Final Exam (Study duration) | 1 | 110 | 110 |
Total Workload | 49 | 195 | 900 |
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