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Analytics Applications for Smart Living (SMT202)

Course description

This course provides students with a set of interweaving concepts from social science and information systems. Topics to be covered include big data, neural network, text analytics, social network analysis and applied analytics in smart city domains. Students will gain an experience on using these technologies to enable evidence-based decision-making across industries and be able to apply the concepts to interdisciplinary smart city domains such as health and enabled-ageing, home and environm...


Seminar Required

Graded, 1.0 Credit Units

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