Upon completion of the course, students will be able to:
- Apply technological skills to interdisciplinary problem-solving in smart city context with a focus on society in an interweaving way across social science and information systems. E.g., from framing a social problem to developing a solution addressing the needs of the citizen.
- Address an identified economic, policy or social aspect of a smart city problem by systematically identifying relevant stakeholders, think through their lenses and listening to their voices through text analysis.
- Design data collection tools using both survey and non-survey methods to listen to preferences of the people such as their needs and revealed preferences (through social media and surveys).
- Provide evidence-based reasoning to problem statements by applying analytics skills learnt from this course (e.g., text analytics, machine learning classification methods, process analytics) or pre-requisite courses (e.g., Analytics Foundation) to conceive solutions based on needs of people.
- Applying root cause analysis, six thinking hats methodology and Blue Ocean Strategy to solution generation.
- Consider the impact on public policies and social best practices in the context of the sponsor's problem and make recommendations made for the given city (e.g., Singapore).
- Manage a project involving real-world project stakeholders.
