teaches skills, knowledge and theories for knowledge representation and for semantic interoperability among various data within and across multiple scales. Students must demonstrate competency in

• representing a variety of data for computation and analytics,

• implementing biomedical (and other) data standards, terminologies, and ontologies for achieving S&I in various settings,

• developing biomedical information systems that require S&I (e.g., data integration),

• exchanging biomedical data in a semantically consistent manner (e.g., Health Information Exchange), and

• developing novel methods for semantic and metadata discovery and mapping using advanced computing/Big Data approaches.