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 |
| 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 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 |
Not entered
|
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 |
Course Delivery Information
|
| Academic year 2014/15, 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:
- 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.
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Mark Bronsvoort
Tel: (0131 6)50 8809
Email: mark.bronsvoort@ed.ac.uk |
Course secretary | Mrs Willie Van-Wijde
Tel: (0131 6)51 3914
Email: Willie.van.Wijde@ed.ac.uk |
|
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