Postgraduate Course: Taming Statistics (BIME11021)
Course Outline
| School | School of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
| Course type | Standard |
Availability | Not available to visiting students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Biomedical Sciences |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | This course will provide an overview of data collection, analysis and presentation for research and education purposes, drawing on illustrative examples from wildlife and ecosystem scenarios. Although the emphasis will be on the non-mathematical understanding of statistics and the interpretation of numerical results, some examples will require calculation and the use of statistical software. In addition to providing a general overview of statistical concepts, this course will provide students with some of the basic statistical tools necessary to conduct research. It is emphasised that this course is not designed to teach students how to perform complex statistical analysis or advanced techniques. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
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| Delivery period: 2012/13 Full Year, Not available to visiting students (SS1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| No Exam Information |
Summary of Intended Learning Outcomes
At the conclusion of this course the student should:
&· Understand the concepts and principles behind the collection, analysis and presentation of numerical data.
&· Be aware of the limitations of statistical testing and how to recognise and, where necessary, avoid common pitfalls.
&· Be able to apply basic statistical testing to example data sets and know how to extend these for personal research purposes.
&· Be aware of how to interpret statistical results in the published literature. |
Assessment Information
| Formal summative written assessment will constitute 60% of the student's grade. Online assessment will incorporate a variety of activities will constitute 40% of their overall course grade and is taken to represent a formative assessment of learning throughout the programme. |
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 |
Approximately 10-14 hours a week (includes online talks and independent study such as reading, engaging with online resources and assessment activities) |
| Keywords | Not entered |
Contacts
| Course organiser | Miss Sharron Ogle
Tel:
Email: |
Course secretary | Ms Caroline Morris
Tel: (0131 6)51 3255
Email: |
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