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 |
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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
Pre-requisites |
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Co-requisites |
|
Prohibited Combinations |
|
Other requirements |
None
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Additional Costs |
None |
Course Delivery Information
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Delivery period: 2010/11 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 |
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
Not entered |
Contacts
Course organiser |
Miss Sharron Ogle
Tel:
Email: sogle@staffmail.ed.ac.uk |
Course secretary |
Ms Caroline Morris
Tel: (0131 6)51 3255
Email: c.d.morris@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 5:36 am
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