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 |
Taught in Gaelic? | No |
| 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 (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-requisites | None |
| High Demand Course? |
Yes |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: 32 |
|
Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of 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 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | Statistics and Data Analysis | 2:00 | |
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%) |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
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 2013 The University of Edinburgh - 13 January 2014 4:47 am
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