ISE 503 Health Analytics

Units: 4
Terms Offered: Sp

Case-study approach to learning descriptive and predictive data analytical tools for health data. Derive inspiring solutions to real-world problems in various health domain applications.
Recommended Preparation: Statistics on the level of ISE 225; programming on the level of ISE 150 (familiarity with R would be helpful). Course illustrates health examples of predictive analytics and data mining, so prior preparation in ISE 529 and ISE 535 is helpful but not required.
Instruction Mode: Lecture
Grading Option: Letter