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Unit of study_

QBUS5015: Foundations of Health and Civic Analytics

Recently, we observed a rise in healthcare and civic disasters, including but not limited to the COVID19 pandemic, opioid crisis, bush fires, floods, droughts, etc. These events have significant impact not only on the way people live and work, but also seriously affect business organization, strategy, and management. With the rapidly increasing availability of data on health and civic disasters, it becomes increasingly important to learn how we can utilize available information and data sources in order to predict, alleviate and adjust to their impact. This unit of study provides a comprehensive introduction into methods and tools, which could be utilized to better understand and manage the effects of major health, climate and other civic events by analysing and deriving important intelligence from data.

Code QBUS5015
Academic unit Business Analytics
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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No prior knowledge is assumed although some familiarity with mathematical and statistical concepts will be an advantage

At the completion of this unit, you should be able to:

  • LO1. Define: Ability to understand how to define a real-world problem related to healthcare and civic issues
  • LO2. Measure: Ability to identify appropriate measures, variables, and datasets as well as understand how to collect suitable data
  • LO3. Analyze: Ability to select the most appropriate methods and techniques to analyse the data and solve the problem
  • LO4. Critically evaluate: Ability to critically evaluate existing data science methodology suitable for healthcare and civic applications
  • LO5. Communicate: Ability to communicate health and civic analytics findings for business-level understanding
  • LO6. Be ethical and responsible: Ability to approach all stages of the health and civic problem-solving process in a responsible and ethical manner

Unit outlines

Unit outlines will be available 1 week before the first day of teaching for the relevant session.