Undergraduate Course: Quantitative Methods in Geography (GEGR09004)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Credits | 10 |
| Home subject area | Geography |
Other subject area | None |
| Course website |
http://www.geos.ed.ac.uk/undergraduate/courses/geography/Honours/U01577/ |
Taught in Gaelic? | No |
| 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.
Course Organiser: Dr Daniel Goldberg |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
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: 2013/14 Block 2 (Sem 1), Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
21/10/2013 |
| Breakdown of 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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| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
To develop a broad, integrated knowledge and understanding of quantitative methods, their principles and appropriate application with Geography
To gain an appreciation of issues in the use of statistical methods for both descriptive and inferential purposes
To consider how best to use, interpret and evaluate numerical and graphical data to achieve goals
To provide a basic knowledge of the skills needed to carry out basic computer-based statistical analysis
To have a critical understanding of the particular issues associated with the analysis of quantitative spatial data
To gain practical experience of a selection of the principal skills and a few of the specialised skills employed in this field
To gain experience drawing on a range of sources in making judgements |
Assessment Information
| Quantitative Project Work to a total of 2000 words |
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 | GEGR09004 |
Contacts
| Course organiser | |
Course secretary | Miss Beth Muir
Tel: (0131 6)50 9847
Email: beth.muir@ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 13 January 2014 4:16 am
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