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Data, Sensors and Complex Services
Course - MasterAs this is the last course the students take before they start with the master thesis project the major aim is to work on reflective skills – thus this is a reflection course. Students will have to evaluate and reflect on impact on society of data and ubiquitous computing systems as distributed data driven services.
Students will investigate the interface between sensors, data, APIs, machine intelligence and societal interventions with practical application to people and real world problems. Research led activities on the course will be centred around applying theory in projects involving building and programming prototypes of remote sensing devices and physical data driven interventions.