BYL689 - PHYLOGEOGRAPHY
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
PHYLOGEOGRAPHY | BYL689 | 2nd Semester | 3 | 0 | 3 | 8 |
Prequisites | - | |||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Discussion Question and Answer Drill and Practice Other: Laboratory | |||||
Instructor (s) | Assoc. Prof. Orhan Mergen | |||||
Course objective | Phylogeography examines the geographic distribution of intra- or interspecific genetic variation. | |||||
Learning outcomes |
| |||||
Course Content | The concept of phylogeography, genetic diversity, gene flow, differentiations of populations, genetic drift and natural selection, molecular markers, molecular clock and diversification, Coalescent theory, phylogeographic methods. | |||||
References | Phylogeography: The History and Formation of Species, John C. Avise, Harvard University Press, 2000. Molecular Markers, Natural History, and Evolution, John C. Avise, Sinauer Associates; 2004. |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | What is phylogeography? (T) |
Week 2 | Molecular markers (T) |
Week 3 | Quantifying genetic diversity (T) |
Week 4 | What influences genetic diversity (T) |
Week 5 | Quantifying genetic diversity (T) Computer based applications |
Week 6 | 1st Midterm exam |
Week 7 | What influences gene flow? (T) Computer based applications |
Week 8 | Population differentitation (T) Computer based applications |
Week 9 | Molecular clock (T) Computer based applications |
Week 10 | Coalescent theory (T) Computer based applications |
Week 11 | Comparative phylogeography |
Week 12 | 2nd Midterm exam |
Week 13 | Phylogeographic methods (T) Computer based applications |
Week 14 | Studying for final exam |
Week 15 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 0 |
Laboratory | 6 | 20 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 0 | 0 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 2 | 30 |
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 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 6 | 3 | 18 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 10 | 140 |
Presentation / Seminar Preparation | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework assignment | 6 | 10 | 60 |
Midterms (Study duration) | 2 | 10 | 20 |
Final Exam (Study duration) | 1 | 10 | 10 |
Total Workload | 43 | 46 | 290 |
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. 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, interpreting and applying the data in his/her field. | X | ||||
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