This course will teach you the basic tools needed to manipulate large datasets derived from Smart Cities data, from sensing, through storage and approaches to analysis. You will be able to capture and build data structures, perform SQL and basic queries in order to extract key metrics. In addition, you will learn how to use external software tools, such as R, Python, etc., in order to visualise and analyse the data. These database statistic tools will be complemented by artificial intelligence and pattern detection techniques, in addition to new technologies for big data.
This class runs during term two, for two hours per week.
Assessment is by project output (5,000 – 6,000 words).
The reading list for this module will soon be available