HI 2451 - DATABASE DESIGN AND BIG DATA ANALYTICS

Minimum Credits: 3
Maximum Credits: 3
The ability to capture, organize, and analyze data is critical to healthcare organizations and to biomedical research. Database is arguably the most important tool in supporting data capture, organization, and analysis of outcomes, both for regular, transactional data as well as big data. This course will provide students with opportunities to learn data and big data management skills: principles in database, approaches to manage data, as well as provide a place to discuss and analyze key issues in data management. The course will have two sections. The first section will emphasize on the theoretical and technical aspects of database, specifically in data modeling, design of database, as well as learning the ‘language’ to manage database. The second section will address advanced topics in database and big data, including transforming data, data warehousing and data mining, as well as analysis and visualization of data.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: Restricted to Health Informatics students only

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