Postgraduate Course: Scientific Methodology (AWAB11050)
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 | 20 |
ECTS Credits | 10 |
| Summary | This course aims to introduce students to experimental design and the methodology required to collect data in animal welfare science with a specific focus on animal behaviour, while consideration will also be given to science communication. This will then lead on to the practical application of this learning through a group research project at Edinburgh Zoo. This course will also take students from basic data handling and summarising through basic parametric and non-parametric statistical methods to more advanced topics using Minitab software. Social science methodologies including survey design and qualitative analysis will also be discussed. |
| Course description |
This course aims to introduce students to experimental design and the methodology required to collect data in animal welfare science with a specific focus on animal behaviour, while consideration will also be given to science communication. This will then lead on to the practical application of this learning through a group research project at Edinburgh Zoo. This course will also take students from basic data handling and summarising through basic parametric and non-parametric statistical methods to more advanced topics using Minitab software. Social science methodologies including survey design and qualitative analysis will also be discussed.
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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 | The topics covered in this course are integrated with those covered in previous courses |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2024/25, 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:
200
(
Lecture Hours 15,
Supervised Practical/Workshop/Studio Hours 33,
External Visit Hours 4,
Summative Assessment Hours 5,
Revision Session Hours 6,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
133 )
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| Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
For this course students are asked to submit one formative assignment, which may be a self-directed activity. Summative assignments may include a report - written (50%), and a Statistics degree exam (50%).
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| Feedback |
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)
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| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Outwith Standard Exam Diets February | Statistics and experimental design | 2:120 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Apply knowledge, specialised skills and understanding of scientific methodology to the field of applied animal behaviour and animal welfare
- Undertake critical evaluation to analyse, interpret, and summarise data
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Methodology,statistics,data,science,communication |
Contacts
| Course organiser | Dr Vincent Bombail
Tel:
Email: v1vbomb4@exseed.ed.ac.uk |
Course secretary | Ms Linda Pollock
Tel: (0131) 650 6149
Email: Linda.Pollock@ed.ac.uk |
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