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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Statistics and Data Analysis (PGBI11003)

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 Credits20 ECTS Credits10
SummaryThis is an introductory statistics course for quantitative geneticists. The syllabus covers probability and distribution theory, hypothesis testing, regression, correlation, analysis of variance and variance components. Teaching is through a combination of lectures, tutorials and computer-based practicals, using 'R' or an equivalent statistical package. Instruction in the selection of appropriate statistical methodologies for the analysis of genetic data (whether from animal, plant or human populations) will be given. Students will be required to undertake a data analysis project and are also expected to attend relevant graduate-level seminars and quantitative genetics journal clubs.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs To be met from additional MSc course fee
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2014/15, Available to all students (SV1) Quota:  40
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 41, Supervised Practical/Workshop/Studio Hours 16, Revision Session Hours 6, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 133 )
Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 %
Additional Information (Assessment) 1 x 2 hour examination (50%)
Two assessed problem sets (10% each)
One assessed data analysis project (30%)
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Statistics and Data Analysis2:00
Learning Outcomes
Students who successfully complete the course will:
1) Have a solid grounding in statistical methodologies required for quantitative biology.
2) Have the requisite knowledge and experience to identify appropriate statistical approaches for analysing different types of genetic data.
3) Be able to apply statistical methodologies correctly and interpret results carefully.
4) Be experienced in the use of the statistical package 'R'.
5) Have conducted and written up a data analysis project.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsQGGA Stats&DA
Contacts
Course organiserProf Andrew Leigh-Brown
Tel: (0131 6)50 5523
Email: A.Leigh-Brown@ed.ac.uk
Course secretaryMrs Jennifer Morris
Tel: (0131 6)50 5513
Email: jennie.morris@ed.ac.uk
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