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Curricular information is subject to change
The learning outcomes for this module include:
1. Building proficiency in spatial analysis skills using GIS and related software and
2. Develop research skills including the design and execution of a self-designed project.
The first half of the module will introduce (re-inforce) methods applied to vector and raster based geographic datasets. The assignments will employ a variety of datasets such as census data, landuse and land cover data, road networks and elevation. The methods we will employ include slope analysis, selection criteria, buffers, etc. An important part of this part of the module is the development of analytic and graphic skills.
The independent work will be the students own choosing and this will mean designing the project, compiling all the relevant data and developing a methodology. The final report will be in the form of an academic paper with an Introduction, Literature review, Methodology, Results, Discussion and Conclusions. The paper will be supported by references, figures and tables.
|Student Effort Type||Hours|
|Autonomous Student Learning||
Not applicable to this module.
|Description||Timing||Component Scale||% of Final Grade|
|Continuous Assessment: Three GIS assignments to be completed in the first half of the course. These projects that will evaluate your understanding of spatial analysis techniques and cartographic design.||Varies over the Trimester||n/a||Graded||No||
|Project: Final project in the module, which is founded on GIS/RS techniques.||Unspecified||n/a||Graded||Yes||
|Assignment: Outline of your final project including a description of data sources and methodology.||Week 6||n/a||Graded||Yes||
|Remediation Type||Remediation Timing|
|In-Module Resit||Prior to relevant Programme Exam Board|
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Students should expect detailed feedback on the project proposal especially. The assignements are graded and commented upon.
|Dr Jeremy Auerbach||Lecturer / Co-Lecturer|
|Lecture||Offering 1||Week(s) - 20, 21, 23, 24, 25, 26, 29, 31, 32, 33||Mon 13:00 - 13:50|
|Lecture||Offering 1||Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33||Wed 13:00 - 13:50|