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 | Topics include: scientific methodology, experimentation, use of Minitab, data summary and distribution and both parametric and non-parametric statistical methods. At the end of this course, students will be able to apply scientific and statistical methods to actual research projects. Students will also be able to discuss reasonably complex statistical issues with a statistician. Attention will also be given to communication skills (oral and written). |
| Course description |
Topics include: scientific methodology, experimentation, use of Minitab, data summary and distribution and both parametric and non-parametric statistical methods. At the end of this course, students will be able to apply scientific and statistical methods to actual research projects. Students will also be able to discuss reasonably complex statistical issues with a statistician. Attention will also be given to communication skills (oral and written).
|
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
|
| Academic year 2019/20, Available to all students (SV1)
|
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 )
|
| Assessment (Further Info) |
Written Exam
40 %,
Coursework
45 %,
Practical Exam
15 %
|
| 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 (45%), an oral presentation (15%) and an exam (40%). |
| 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)
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Outwith Standard Exam Diets February | | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Have an understanding of scientific method and statistical concepts, and be able to apply this using statistical analysis software e.g. Minitab.
- Have an understanding of, and ability to critique, experimental design and statistical analysis.
- Be at ease with data handling and basic statistics as used in applied animal behaviour and welfare.
- Be able to integrate and communicate experimental design and results orally and written.
- To gain confidence in how to use knowledge of scientific method in future careers.
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Methodology,statistics,data,science,communication |
Contacts
| Course organiser | Dr Tamsin Coombs
Tel:
Email: |
Course secretary | Ms Natalie Honeyman
Tel: (0131 6)51 3194
Email: |
|
|
University Homepage