Postgraduate Course: Research Methods Data Analysis (Equine Science) (EQSC11046)
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) |
Course type | Online Distance Learning |
Availability | Not available to visiting students |
SCQF Credits | 20 |
ECTS Credits | 10 |
Summary | The research methods and data analysis course focuses on an understanding of scientific and statistical concepts; scientific investigation including the importance of collecting appropriate data; efficient data analysis using appropriate statistical methods and statistical and data software packages; as well as gaining the appropriate ethical approval. At the end of this course, students will be able to apply scientific and statistical methods to actual research projects. Attention will also be given to producing a research proposal. |
Course description |
The research methods and data analysis course focuses on an understanding of scientific and statistical concepts; scientific investigation including the importance of collecting appropriate data; efficient data analysis using appropriate statistical methods and statistical and data software packages; as well as gaining the appropriate ethical approval. At the end of this course, students will be able to apply scientific and statistical methods to actual research projects. Attention will also be given to producing a research proposal.
This course is compulsory for students intending to undertake the MSc dissertation.
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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Academic year 2018/19, Not available to visiting students (SS1)
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Quota: None |
Course Start |
Block 5 (Sem 2) and beyond |
Course Start Date |
15/04/2019 |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
196 )
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Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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Additional Information (Assessment) |
Statistics assignment (50%)
Research proposal (50%) |
Feedback |
Feedback is defined as information to students which allows them to review what they know, understand and can do in their studies. Feedback is also important to identify areas for improvement, for example course feedback surveys and a response from the equine science team to previous year's course survey are available on each course. Staff Student Liaison meetings are also another valuable way in which feedback from students can be received.
Opportunities for feedback arise during timetabled courses, for example during live session tutorials, discussion boards, emails, telephone communication and in person/on campus. Feedback can be provided on coursework assignments but also activities which are not formally assessed, for example class discussion on the discussion board, group exercise, problem-solving and developing project plans and proposals. A formative task is provided in each course which provides formative feedback prior to the student submitting their first piece of assessed course work.
All assignments, including the formative assessment, will be marked and feedback is provided within a period of fifteen working days (where possible) following the submission date (excluding holidays periods whereby the University of closed, e.g. over the Christmas period) |
No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Demonstrate a critical understanding of scientific and statistical concepts
- Design and plan a research proposal with consideration to analysis of data (using statistical and data analysis software)
- Undertake critical evaluations of a range of numerical and graphical data and communicate findings
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Methodology,statistics,data,science,communication |
Contacts
Course organiser | Mrs Bryony Lancaster
Tel: (0131 6)50 8783
Email: bryony.lancaster@ed.ac.uk |
Course secretary | Mrs Elizabeth Wright
Tel: (0131 6)50 6272
Email: E.Wright@ed.ac.uk |
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