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 2022/23, 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 %
|
| Additional Information (Assessment) |
Coursework 100% |
| Feedback |
Feedback and marks for all items will be given within fifteen working days of the submission date where possible. For the major written items, students will submit an abstract/outline before the final due date, and receive feedback within two days to guide their preparation. Feedback on computer and laboratory activities will be provided during the session. All written items will be marked by at least two markers.
Opportunities for feedback arise within timetabled classes (tutorials, practicals, lectures) as well as more formally through comments on specific pieces of work. Feedback can be provided not only on coursework assignments, tests and exam answers, but also on activities that are not formally assessed such as class discussions, group exercises, problem solving, and in the course of developing project plans and proposals. Course staff will endeavour to provide timely feedback on all activities.
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| 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: |
Course secretary | Mr Stephen Mitchell
Tel: (0131 6)51 7112
Email: |
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