Computational Systems

Intended learning outcomes

Upon completion of this course, graduates should be able to:

• have gained knowledge and practice in spatial engineering fields of mathematics of spatial information, spatial information systems and databases, spatial data infrastructures, advanced surveying and mapping, positioning and imaging;
• have gained knowledge and practice in specialised spatial engineering topics which might include land systems, computational systems, business systems or environmental systems;
• be able to apply their knowledge to analyse and design spatial engineering systems and products;
• have developed problem solving and trouble shooting skills that may be applied in professional practice;
• be able to demonstrate proficiency over established and emerging engineering methods and tools to solve practical engineering problems;
• understand the basic principles underlying the management of physical, human and financial resource;
• be able to undertake a piece of original research either within an industrial setting or in a laboratory, involving the collection of spatial data, its objective analysis and interpretation;
• have effective verbal and written communication skills that enable them to make a meaningful contribution to the changes facing society;
• be conversant with important issues relevant to sectors influenced by spatial engineering, such as smart cities, infrastructure engineering, environmental sustainability, and transportation systems;
• know and epitomize professional ethical behaviour and responsibilities towards their profession and the community, including having positive and responsible approaches to sustainable development, process and personal safety, management of spatial information and professional integrity;
• Demonstrate knowledge and understanding of theory and science of spatial information;
• Demonstrate ability to apply spatial information analysis, computation and visualisation to solve various problems;
• Critically analyse the suitability of spatial methods for solving a problem;
• Design and develop a spatial information system.