This module explores and evaluates geographical patterns and processes occurring within urban and rural systems. The module includes introductory lectures and seminars on conceptualising the dynamics of urban and rural change and the underlying economic, social, cultural and environmental processes that drive their geographical expression. Understanding is set within a broader consideration of how social-spatial processes in urban and rural environments can be interpreted and assessed with respect to different values and priorities, and in relation to wider questions of environmental sustainability, social justice and economic prosperity. The introductory lectures and seminars for each section of the module (urban and rural) provide the context in which these systems are investigated empirically through field-based observation, interpretation and analysis.
Total contact hours 24
Private study hours 126
Total study hours 150
Compulsory to the following courses:
• BSc Human Geography
• BA Environmental Social Science
Optional to the following courses:
• BSc Wildlife Conservation
• BSc Anthropology
Group presentation 30%
Journal (3500 words) 70%
Reassessment Method
100% coursework
The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.
The most up to date reading list for each module can be found on the university's reading list pages.
On successfully completing the module students will be able to:
1 Understand the varied nature and character of urban and rural systems and the competing value and priorities concerning their organisation and management
2 Learn to interpret urban and rural environments through the application of geographical theory and concepts
3 Understand and appreciate the practical challenges of managing rural and urban environments with respect to questions of environmental sustainability, social justice and economic prosperity
4 Demonstrate an understanding of the application of mapping and visual representations of geographic data.
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