Postgraduate Course: Analytical methods in animal biosciences (VESC11005)
Course Outline
| School | Royal (Dick) School of Veterinary Studies |
College | College of Medicine and Veterinary Medicine |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 20 |
| Home subject area | Veterinary Sciences |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | The course aims to develop the student&Šs skills in a range of computational methods considered essential for researchers in the animal sciences in the 21st century. These will include use of the R packages for statistical analysis and data manipulation, population and quantitative genetics, epidemiology and advanced bioinformatics, analysis of genome-wide data sets. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | Completed degree at Bachelor level in biological sciences or other relevant discipline |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
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| Delivery period: 2011/12 Semester 2, Available to all students (SV1)
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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 completion of this course, the candidate should be experiences in the range of computational techniques and be able to present this material in an appropriate format.
The candidate should:
&ˇ be very familiar with the use of R packages;
&ˇ understand the use of different analysis techniques for a range of data types;
&ˇ be familiar with the range of electronic data sources relevant to animal biosciences;
&ˇ be experienced in the methods and outcomes of epidemiology, population genetics and quantitative genetics;
&ˇ be able to present the material clearly in scientific format;
&ˇ assess the relevance of these computational methodologies to industry.
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Assessment Information
Written assignment(s) 50%
On-line activities 50%
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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 | Not entered |
Contacts
| Course organiser | Dr Kim Summers
Tel: 0131 527 4200
Email: kim.summers@ed.ac.uk |
Course secretary | Dr Kim Summers
Tel: 0131 527 4200
Email: kim.summers@ed.ac.uk |
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