Undergraduate Course: Research and Statistics in Sport Science 3 (SPRT10003)
Course Outline
| School |
Moray House School of Education |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 10 (Year 3 Undergraduate) |
Credits |
20 |
| Home subject area |
Sport |
Other subject area |
None |
| Course website |
http://www.education.ed.ac.uk/courses/ug/sport-sci.html
|
Taught in Gaelic? |
No |
| Course description |
This half-course will build on the Sport Science 2Dh research methods half-course, and will introduce the student to inferential statistical techniques. Institute computing facilities will be used (along with appropriate software) to enable students to understand the theory and practice of empirical data analysis. The reporting of scientific research data will also be covered in detail as a preparation for the Sport Science 3h Project (ED1030) and the Sports Science 4 Dissertation (ED1031) |
Entry Requirements
| Pre-requisites |
Students MUST have passed:
Sport Science 2D (SPRT08007)
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | | 09:00 - 13:00 |
| First Class |
First class information not currently available |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
Stationery Requirements |
Comments |
| Main Exam Diet S1 (December) | Research and Statistics in Sport Science 3 | 2:00 | Nil | | | Resit Exam Diet (August) | | 2:00 | nil | Computer based exam |
Summary of Intended Learning Outcomes
| Understand the principles underlying the use of inferential statistics; choose and carry out statistical tests for a range of empirical data; user computer software (SPSS/Excel) for the advanced analysis of data; present scientific reports in an accepted manner. |
Assessment Information
| 1 x 2 hour examination. A computer based exam needing a computer lab. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
Not entered |
Contacts
| Course organiser |
Dr Simon Coleman
Tel: (0131 6)51 6653
Email: simon.coleman@ed.ac.uk |
Course secretary |
Miss Sarah Fraser
Tel:
Email: s.fraser@ed.ac.uk |
|
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31 January 2011 8:21 am
|
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