Postgraduate Course: Analytical Methods in Infectious Diseases and One Health (VESC11157)
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 | This course demonstrates the analysis techniques used with modern biological data sets
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| Course description |
This course demonstrates the analysis techniques used with modern biological data sets, including statistical analysis, experimental design, analysis of gene expression and gene sequence datasets and modelling. It will show students how to work with large data sets and make meaningful conclusions from analytical approaches.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
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 1 |
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) |
100% coursework |
| 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. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate knowledge and understanding of analytical approaches used for large data sets
- Demonstrate knowledge and understanding of statistical considerations in experimental design
- Demonstrate knowledge and understanding of bioinformatics analysis
- Ability to communicate material in a scientific and professional manner
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | analysis,bioinformatics |
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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