Postgraduate Course: Statistics and Data Analysis (PGBI11003)
Course Outline
School | School of Biological Sciences |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
SCQF Credits | 20 |
ECTS Credits | 10 |
Summary | This 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
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Additional Costs | To be met from additional MSc course fee |
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
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Academic year 2014/15, Available to all students (SV1)
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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 )
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Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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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 |
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Main Exam Diet S1 (December) | Statistics and Data Analysis | 2:00 | |
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.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | QGGA Stats&DA |
Contacts
Course organiser | Prof Andrew Leigh-Brown
Tel: (0131 6)50 5523
Email: A.Leigh-Brown@ed.ac.uk |
Course secretary | Mrs Jennifer Morris
Tel: (0131 6)50 5513
Email: jennie.morris@ed.ac.uk |
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© Copyright 2014 The University of Edinburgh - 12 January 2015 4:28 am
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