BYL700-01 - SPECIAL SUBJECTS
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
SPECIAL SUBJECTS | BYL700-01 | 5th Semester | 5 | 0 | 0 | 30 |
Prequisites | ||||||
Course language | Turkish | |||||
Course type | Must | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Discussion Question and Answer Observation Experiment Drill and Practice Problem Solving | |||||
Instructor (s) | Faculty members and lecturer | |||||
Course objective | Studying of thesis | |||||
Learning outcomes |
| |||||
Course Content | Selecting the thesis topic, Reviewing all the references with the selected topic, Preparing the research proposal, Developing a scale, Studying on the reliability and validity of the scale, Administering the scale and evaluating the findings, Reporting the research results. | |||||
References | All the references related to selected thesis topic in literature. |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Selecting the thesis topic |
Week 2 | Selecting the thesis topic |
Week 3 | Selecting the thesis topic |
Week 4 | Selecting the thesis topic |
Week 5 | Reviewing all the references with the selected topic |
Week 6 | Reviewing all the references with the selected topic |
Week 7 | Reviewing all the references with the selected topic |
Week 8 | Reviewing all the references with the selected topic |
Week 9 | Preparing the research proposal, |
Week 10 | Preparing the research proposal, |
Week 11 | Collecting data |
Week 12 | Collecting data |
Week 13 | Collecting data |
Week 14 | Collecting data |
Week 15 | Collecting data |
Week 16 | Collecting data |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 14 | 40 |
Application | 14 | 30 |
Field activities | 10 | 30 |
Specific practical training | 0 | 0 |
Assignments | 0 | 0 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 0 | 0 |
Final exam | 0 | 0 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 3 | 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) | 0 | 0 | 0 |
Laboratory | 14 | 11 | 154 |
Application | 14 | 39 | 546 |
Specific practical training | 0 | 0 | 0 |
Field activities | 10 | 20 | 200 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 0 | 0 | 0 |
Presentation / Seminar Preparation | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework assignment | 0 | 0 | 0 |
Midterms (Study duration) | 0 | 0 | 0 |
Final Exam (Study duration) | 0 | 0 | 0 |
Total Workload | 38 | 70 | 900 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. Improves knowledge in proficiency level based on the undergraduate level in biology or different disciplines by using scientific methods to analyse and interpret it. | X | ||||
2. Uses theoretical and practical knowledge obtained from his/her field in proficiency level | X | ||||
3. Interprets the knowledge obtained from his/her field with integrating the acquired knowledge from the other disciplines and synthesize new knowledge. | X | ||||
4. Gain ability to solve problems in his/her using research methods. | X | ||||
5. Gain ability to conduct study independently required in his/her field of specialization. | X | ||||
6. Improves new strategies to solve complex problems in the field of specialization | X | ||||
7. Uses acquired proficiency level knowledge and skills in processes of learning in his/her field | X | ||||
8. 8 Uses computer software with computer technologies that is required in his/her field | X | ||||
9. Has the ability of minding social, scientific, cultural and ethical values in the levels of collecting, | X | ||||
10. 10 Evaluates the important events and cases by minding the results which take part in the development of his/her field | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest