Postgraduate Course: Scientific Methodology (AWAB11034)
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 |
Not entered
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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 2015/16, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
| Course Start Date |
21/09/2015 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 15,
Seminar/Tutorial Hours 20,
Revision Session Hours 10,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
151 )
|
| Assessment (Further Info) |
Written Exam
90 %,
Coursework
0 %,
Practical Exam
10 %
|
| Additional Information (Assessment) |
Oral presentation of dissertation project (10%) February |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Outwith Standard Exam Diets February | Scientific Methodology Paper 1 | 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.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Methodology,statistics,data,science,communication |
Contacts
| Course organiser | Dr Susan Jarvis
Tel: (0131 6)51 7326
Email: Susan.Jarvis@sruc.ac.uk |
Course secretary | Mrs Willie Van-Wijde
Tel: (0131 6)51 3914
Email: Willie.van.Wijde@ed.ac.uk |
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