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Curricular information is subject to change
On completion of this module students will be able to:
* Understand the application of statistical methods to estimate heritability in twin studies
* Use statistical software for the analysis of gene-mapping studies with genetic linkage and genetic association
* Apply corrections for the control of confounding by non-genetic covariates or population stratification in gene-mapping studies
* To use appropriate methods to characterise the predictive properties of genetic tests, either based on single variants, or polygenic scores
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 4 |
Specified Learning Activities | 40 |
Autonomous Student Learning | 42 |
Total | 110 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: Final integrative assignment. | Coursework (End of Trimester) | n/a | Standard conversion grade scale 40% | No | 50 |
Class Test: MCQ of the theoretical course materials | Week 12 | n/a | Standard conversion grade scale 40% | No | 20 |
Project: Practical report on computational tasks | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 30 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Feedback for the in-semester project will be given individually to students, electronically. There will also be general feedback on the class performance, on areas of weakness and strength. The MCQ exam will have immediate feedback. There will be regularly spaced summative short MCQs to provide on-going feedback on learning progression.