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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: Research skills and statistics (VESC11144)

Course Outline
SchoolRoyal (Dick) School of Veterinary Studies CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis course will provide students with the key skills that are essential for disease systems research.
Course description This course will provide students with the key skills that are essential for disease systems research. This includes hypothesis development, experimental design and statistical methods used in disease systems. Correlative vs experimental approaches will be compared.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2020/21, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Course Start Date 11/01/2021
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) One in course formal summative written assessment worth 100% of the final mark
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. To develop a research question and hypothesis, an appropriate experimental design to test the hypothesis and plan field collection of samples or measurements
  2. To learn to use statistics used in surveillance; power calculations for surveillance; statistics used in interventions
  3. To demonstrate skills in handling data and selecting the appropriate statistical methods.
  4. To describe and interpret outputs from statistical analysis in relation to the hypothesis and present findings
  5. To discuss the use of Bayesian inference methods in disease systems research
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsResearch skills,statistical analysis,hypothesis,experimental design
Contacts
Course organiserDr Spiridoula Athanasiadou
Tel: (0131 6)51 9355
Email: sathanas@exseed.ed.ac.uk
Course secretaryMrs Angela Harding
Tel: (0131 6)51 7363
Email: Angela.Harding@ed.ac.uk
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