Course Delivery Information
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Academic year 2019/20, Available to all students (SV1)
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Quota: 0 |
Course Start |
Flexible |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
|
Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
Additional Information (Assessment) |
Reintroduction plan including demographic and genetic forecast simulations using Population Viability Analysis software (100%) |
Feedback |
Not entered |
No Exam Information |
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Academic year 2019/20, Available to all students (SV1)
|
Quota: None |
Course Start |
Block 4 (Sem 2) |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
|
Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
Additional Information (Assessment) |
Reintroduction plan including demographic and genetic forecast simulations using Population Viability Analysis software (100%) |
Feedback |
Not entered |
No Exam Information |
|
Academic year 2019/20, Available to all students (SV1)
|
Quota: None |
Course Start |
Semester 2 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
|
Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
Additional Information (Assessment) |
Reintroduction plan including demographic and genetic forecast simulations using Population Viability Analysis software (100%) |
Feedback |
Not entered |
No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate a critical understanding of current issues relating to the application of population genetics in reintroductions, tranlocations and population monitoring.
- Be able to apply population genetic theory and conduct appropriate data analysis relevant to informing reintroductions, translocations and population monitoring.
- Communicate the results of population genetic analysis to relevant stakeholders involved in conservation planning.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Not entered |
Contacts
Course organiser | Dr Rob Ogden
Tel: (0131 6)51 7428
Email: rogden@exseed.ed.ac.uk |
Course secretary | Mr Michael Winpenny
Tel: (0131 6)50 8825
Email: Michael.Winpenny@ed.ac.uk |
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