THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : Royal (Dick) School of Veterinary Studies : Veterinary Sciences

Postgraduate Course: Analytical Methods in Infectious Diseases and One Health (VESC11157)

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
SummaryThis course demonstrates the analysis techniques used with modern biological data sets
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.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2020/21, Available to all students (SV1) 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 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
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:
  1. Demonstrate knowledge and understanding of analytical approaches used for large data sets
  2. Demonstrate knowledge and understanding of statistical considerations in experimental design
  3. Demonstrate knowledge and understanding of bioinformatics analysis
  4. Ability to communicate material in a scientific and professional manner
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
Keywordsanalysis,bioinformatics
Contacts
Course organiserDr Helen Brown
Tel: (0131 6) 50 4282
Email: Helen.Brown@ed.ac.uk
Course secretaryMr Stephen Mitchell
Tel: (0131 6)51 7112
Email: stephen.mitchell@ed.ac.uk
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