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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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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
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe 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.
Course description 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.
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
High Demand Course? Yes
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
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 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Written assignments 100%
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. have an understanding of a range of statistical analysis methods;
  2. be experienced in the use of Minitab for data summary and statistical analysis;
  3. be familiar with the range of electronic data sources relevant to animal biosciences;
  4. be experienced in the manipulation of large data sets generated by "omics" studies;
  5. be experienced in themethods and outcomes of epidemiology genetics.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Helen Brown
Tel: (0131 6) 50 4282
Email: Helen.Brown@ed.ac.uk
Course secretaryMrs Eleanor Graham
Tel: (0131 6)51 3194
Email: Eleanor.Graham@ed.ac.uk
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