|Delivery Type||Delivery length / details|
|Lecture||5 x 2 Hour Lectures|
|Practical||7 x 2 Hour Practicals|
|Assessment Type||Assessment length / details||Proportion|
|Semester Assessment||Coursework: report based on analysis, interpretation and presentation of spatial data (4000 words)||50%|
|Semester Exam||3 hour written and practical examination on spatial data analysis and interpretation.||50%|
|Supplementary Assessment||Resubmission of failed assignment||100%|
On successful completion of this module students should be able to:
- Identify main sources of GIS data and their use for particular applications.
- Demonstrate and explain the functionality of GIS software and appropriately select tools for specific applications.
- Display and analyse spatial data in both two and three dimensions and develop spatial models of dynamic processing.
- Proficiency in programming using python
The module will introduce the students to advanced procedures in the analysis of spatial data, including within the framework of a GIS. The course focuses particularly on the more complex functionality of GIS systems, providing theory and hands on experience in relevant software. Programming of spatial data is also taught.
- Python programming
- Advanced GIS procedures
- Use of open source software tools
- Modelling with spatial data
|Skills Type||Skills details|
|Application of Number||Quantitative analysis of GIS data and problem solving assignments.|
|Communication||Skills report writing and submission of a discussion paper. Discussion groups within the blackboard teaching and learning environment|
|Improving own Learning and Performance||Literature review and discussions with lecturers|
|Information Technology||Use of commercial, open source and in house software for practical applications. Specific skills in programming and statistical analysis.|
|Personal Development and Career planning||Awareness of scientific literature, functionality of software and programming. Provision of advice and information for careers.|
|Problem solving||Use of GIS for spatial analysis; selection of datasets, implementation of appropriate analysis techniques and interpretation of spatial data.|
|Research skills||Basic strategies relating to spatial data sources, data integration and processing within the framework of a GIS and effective analysis and interpretation of spatial data and new technologies. Programming within python.|
|Subject Specific Skills||As above|
|Team work||Undertaking practical laboratory sessions where ideas and solutions are shared.|
This module is at CQFW Level 7