Postgraduate Course: Statistics and Data Analysis (PGBI11003)
Course Outline
| School |
School of Biological Sciences |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
20 |
| Home subject area |
Postgraduate |
Other subject area |
None |
| Course website |
None |
|
|
| Course description |
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. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
To be met from additional MSc course fee |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | | 1-11 | 11:10 - 13:00 | | | | | | King's Buildings | Lecture | | 1-11 | | | 11:10 - 13:00 | | | | King's Buildings | Lecture | | 1-11 | | | | 11:10 - 13:00 | |
| First Class |
First class information not currently available |
| Additional information |
One 3h Computer practical on Thursday afternoon (time tba depending on availability of computing labs at KB) |
Summary of Intended 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. |
Assessment Information
1 x 2 hour examination (50%)
Two assessed problem sets (10% each)
One assessed data analysis project (30%) |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Prof Andrew Leigh-Brown
Tel: (0131 6)50 5523
Email: A.Leigh-Brown@ed.ac.uk |
Course secretary |
Miss Natalie Kerracher
Tel: (0131 6)50 4001
Email: natalie.kerracher@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:24 am
|
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