Undergraduate Course: Quantitative Methods in Geography (GEGR09004)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course provides a further introduction to statistical methods in Geography using relevant example from across the discipline. Course work is designed to give students experience in using the methods to analyse real world data and thereby gain insights into their value and limitations.
Please note this is a core course for students on the Geography Degree Programmes, and Sustainable Development (Geography Pathway). This course is open to all university students, however priority will be given to the degree programmes listed here.
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| Course description |
This course provides a further introduction to statistical methods in Geography using relevant example from across the discipline. Course work is designed to give students experience in using the methods to analyse real world data and thereby gain insights into their value and limitations.
Basic theory and methods will be discussed in the lectures, but there is also a strong emphasis on practical skills. The practical classes will provide experience in using SPSS, a powerful and widely-used package for statistical analysis.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| 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 |
Block 2 (Sem 1) |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Supervised Practical/Workshop/Studio Hours 6,
Feedback/Feedforward Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
80 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Quantitative Project Work to a total of 2,000 words |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- demonstrate a broad, integrated knowledge and understanding of quantitative methods, their principles and appropriate application within Geography
- gain an appreciation of issues in the use of statistical methods for both descriptive and inferential purposes
- demonstrate a basic knowledge of the skills needed to carry out basic computer-based statistical analysis
- gain practical experience of a selection of the principal skills and a few of the specialised skills employed in this field
- demonstrate a critical understanding f the particular issues associated with the analysis of quantiative spatial data
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Reading List
There are many introductory statistics texts, several of which focus on geographical applications or include examples using SPSS. There is no set text for this course, but a selection of books for background and further reading are given here:
1. Argyrous, G (2005). Statistics for research with a guide to SPSS. Sage Publications, London.
2. Ebdon, D (1985). Statistics in geography: a practical approach. Blackwell, Oxford.
3. Field, A (2009). Discovering statistics using SPSS. Sage Publications, London.
4. Rogerson, P (2010). Statistical methods for geography. Sage Publications, London. |
Additional Information
| Graduate Attributes and Skills |
Students will be able to demonstrate skills in the use of statistical methods and basic theory in Geography, as well as using SPSS software.
Students will also be able to demonstrate an ability to acquire and apply specialist knowledge.
Finally, students will be able to communicate effectively both orally and in writing.
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| Keywords | GEGR09004 |
Contacts
| Course organiser | Dr Daniel Goldberg
Tel: (0131 6)50 2561
Email: Dan.Goldberg@ed.ac.uk |
Course secretary | Mr Philip Horey
Tel: (0131 6)50 9847
Email: philip.horey@ed.ac.uk |
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