Undergraduate Course: Statistics and Experimental Design (LASC10033)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
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 | Language Sciences |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | An introduction to good design and analysis of scientific studies of behaviour, the course covers issues in experimental design, descriptive statistics, and inferential statistics. |
Information for Visiting Students
| Pre-requisites | Visiting students should have at least 3 Linguistics/Language Sciences courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses. |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
Web Timetable |
Web Timetable |
| Class Delivery Information |
Teaching Contact Time:
RUNS FOR 10 WEEKS. 2 LECTURE HOURS IN ALL WEEKS, + PRACTICAL HOURS IN 9 WEEKS. = 22 + 9 = 31 HOURS
|
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 23,
Supervised Practical/Workshop/Studio Hours 9,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
162 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | Statistics and Experimental Design | 2:00 | | |
Summary of Intended Learning Outcomes
| An understanding of internal and external validity, pertinent experimental designs, data as distributions; a grasp of statistical inference, ability to employ a statistical package to run commonly used descriptive and inferential statistics, and to interpret the results. |
Assessment Information
Assessment information:
Project (50%). The project will be delivered in two parts, weighted at 5% and 45% of the total course assessment.
|
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 |
RUNS FOR 10 WEEKS. 2 LECTURE HOURS IN ALL WEEKS, + PRACTICAL HOURS IN 9 WEEKS. = 22 + 9 = 31 HOURS |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Ellen Bard
Tel: (0131 6)50 3951
Email: e.bard@ed.ac.uk |
Course secretary | Ms Francesca Anderson
Tel: (0131 6)50 3961
Email: Frankie.Anderson@ed.ac.uk |
|
© Copyright 2013 The University of Edinburgh - 10 October 2013 4:39 am
|
University Homepage