This course aims to equip research students with the knowledge and skills to conduct evaluation research into the healthcare issues that require evidence-based reasoning and data analytics. Major healthcare cases related to complex diseases will be studied through interactive study and project-based research. Pre-requisite: Before taking this course, the students should prepare themselves with a working knowledge of basic multivariate statistics and pathophysiology. Some knowledge of statistical software or data mining packages based on R or Python would be an advantage.

CILO-1: Describe formal concepts of decision processes. CILO-2: Analyze constraints and preferences for optimizing decisions. CILO-3: Reason about evidence and decisions with uncertainty. CILO-4: Model and simulate changes for prediction. CILO-5: Manipulate big data sets with statistical programming. CILO-6: Conduct a non-trivial research project from study design to final reporting.