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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Quantitative Genetic Models (PGBI11085)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course builds on lectures in quantitative genetics (in PGBI11001) and statistics (PGBI11003) and provides tools to analyse quantitative genetic data and interpret the results. Students will be introduced to statistical mixed models and the use of molecular data in quantitative genetic models.
Course description The course consists of 10 lectures and associated computer practicals.
1 Introduction to mixed models for genetic problems
2 Generalising to the animal model incorporating information from all relatives
3 Extending the simple linear model to include repeat records, common environment, maternal effects, and multivariate analysis.
4 Random effects
5 Estimating effects of loci
6 Estimating variance of a locus
7 Genomic relationships and their use in genetic evaluations
8 Genomic evaluation
9 Bayesian models incorporating molecular information
10 Accuracy of genomic evaluation
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Population and Quantitative Genetics (PGBI11001)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesPGBI11001
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  None
Course Start Block 3 (Sem 2)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) One assignment (40%) and one class test (60%)
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. On successfully completing the course students will have a thorough knowledge of statistical mixed models and their application to quantitative genetics.
  2. Students will be familiar with software available to perform such genetic analyses.
  3. Students will understand how molecular data can be used to augment traditional approaches.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsQGM
Contacts
Course organiserDr Sara Knott
Tel: (0131 6)50 5444
Email:
Course secretaryMrs Jennifer Morris
Tel: (0131 6)50 5513
Email:
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