Introduction to GIS
Introduces the key GIS concepts and techniques through practical experience and exposure to state-of-the-art software; explains processing and applications of GIS data on natural and environmental resources and land information, census, geo-demographics, health, cadastral systems and infrastructure management.
Advanced web technologies
Very practical aspects of implementing service oriented systems using Microsoft’s net technologies.
Programming for Spatial Scientists
Develops the fundamentals of programming skills, integrates programming elements into GI applications including user interfaces for the visualisation of spatial information.
Spatial Information Science
Explores the nature of spatial information, data processing algorithms, spatial data analysis and transformations using statistical software.
Personal, group and research skills
Critical analysis, appraisal of evidence, communication skills, development of working relationships, management of learning, and research skills.
An introduction to technologies that allow machines to make decisions involving semantic understandings. The module considers subjects such as how the semantics of components can be captured and how decisions can be made.
An introduction to a form of infrastructure in which applications and data render software components as services. Such architectures are well positioned to offer high levels of agility, and are used in many industries.
In the last five months of the course, students must undertake a research project. This provides you with the opportunity to examine in depth a topic of particular relevance to your interests and work. In the course of the dissertation, students must identify an appropriate management issue to investigate; develop a proposal that details their research methods; undertake a literature review; and apply theory to the particular organisational situation in order to produce a critically informed analysis.