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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2013/2014
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DRPS : Course Catalogue : Royal (Dick) School of Veterinary Studies : Veterinary Sciences

Postgraduate Course: Advanced Analytical Methods in Animal Biosciences (VESC11030)

Course Outline
SchoolRoyal (Dick) School of Veterinary Studies CollegeCollege of Medicine and Veterinary Medicine
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaVeterinary Sciences Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThe 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-requisitesCompleted 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
KeywordsNot entered
Contacts
Course organiserDr Kim Summers
Tel: 0131 527 4200
Email: kim.summers@ed.ac.uk
Course secretaryMs Joan Blanch
Tel:
Email: Joan.Blanch@ed.ac.uk
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