Postgraduate Course: Advanced Analytical Methods in Animal Biosciences (VESC11030)
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 | 10 |
| 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¿s skills in a range of computational methods considered essential for researchers in the animal sciences in the 21st century. These will include data manipulation, analysis of "omics" data, mathematical modelling, epidemiology and advanced bioinformatics. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | Covered by mandatory Additional Programme Costs |
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
|
| Delivery period: 2013/14 Semester 2, Available to all students (SV1)
|
Learn enabled: No |
Quota: None |
Web Timetable |
Web Timetable |
| Course Start Date |
13/01/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 30,
Seminar/Tutorial Hours 15,
Supervised Practical/Workshop/Studio Hours 15,
Feedback/Feedforward Hours 3,
Formative Assessment Hours 10,
Summative Assessment Hours 10,
Revision Session Hours 5,
Directed Learning and Independent Learning Hours
12 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
At the completion of this course, the candidate should be experienced in the range of computational techniques and be able to present this material in an appropriate format.
The candidate should:
- be very familiar with the use of R packages;
- be familiar with the range of electronic data sources relevant to animal biosciences;
- be experienced in the manipulation of large data sets generated by "omics" studies;
- be experienced in the methods and outcomes of epidemiology genetics;
- be able to present the material clearly in scientific format;
- be aware of the relevance of these computational methodologies to industry.
|
Assessment Information
| Written assignments 100% |
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 | Ms Joan Blanch
Tel:
Email: Joan.Blanch@ed.ac.uk |
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