Postgraduate Course: Evolutionary Quantitative Genetics (PGBI11087)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course covers the application of quantitative genetic analyses to key questions in the evolution of natural populations, with the aim of dissecting the processes of natural selection, microevolution within populations and the maintenance of genetic diversity. |
| Course description |
Session Topics
Fitness and univariate selection
Multivariate and nonlinear selection
Heritability and genetic correlations
Multivariate phenotypic evolution
Social evolution: multi-level selection and indirect genetic effects
Sexual selection and sexual dimorphism
Maintenance of genetic variation and phenotypic plasticity
Senescence and ageing
Population structure, inbreeding and inbreeding depression
Animal Models
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Course Delivery Information
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| Academic year 2024/25, Available to all students (SV1)
|
Quota: None |
| Course Start |
Block 4 (Sem 2) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Seminar/Tutorial Hours 20,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
|
| Assessment (Further Info) |
Written Exam
60 %,
Coursework
40 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
One Exam (60%)
One in-course assignment (40%) |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Evolutionary Quantitative Genetics | 1:30 | |
Learning Outcomes
On completion of this course, the student will be able to:
- demonstrate an understanding of the use of quantitative genetic concepts to address key questions in evolutionary biology relating to the study of natural populations
- draw upon skills relating to software used to estimate relevant quantitative genetic parameters
- demonstrate their familiarity with the relevant primary scientific literature
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | EQG |
Contacts
| Course organiser | Dr Jacob Moorad
Tel: (0131 6)50 5442
Email: Jacob.Moorad@ed.ac.uk |
Course secretary | Miss Zofia Bekas
Tel: (0131 6)50 5513
Email: zofia.bekas@ed.ac.uk |
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