Postgraduate Course: Analytical Methods in Animal Biosciences (VESC11078)
Course Outline
School | Royal (Dick) School of Veterinary Studies |
College | College of Medicine and Veterinary Medicine |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | The course aims to develop the student¿s skills in a range of analytical methods considered essential for researchers in the animal sciences in the 21st century. These will include statistical analysis, phylogenetics, mathematical modelling, analysis of ¿omics¿ data, epidemiology and 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.
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Additional Costs | Covered by mandatory Additional Programme Costs |
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
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Academic year 2015/16, Available to all students (SV1)
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Quota: None |
Course Start |
Semester 2 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
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Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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Additional Information (Assessment) |
Coursework 100% |
Feedback |
Not entered |
No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Be experienced in basic statistical analysis and familiar with a statistical software package.
- 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 and assess the relevance of these computational methodologies to industry.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Not entered |
Contacts
Course organiser | Dr Helen Brown
Tel: (0131 6) 50 4282
Email: Helen.Brown@ed.ac.uk |
Course secretary | Mrs Eleanor Graham
Tel: (0131 6)51 3194
Email: Eleanor.Graham@ed.ac.uk |
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© Copyright 2015 The University of Edinburgh - 18 January 2016 4:54 am
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