SENG 5336 - Healthcare Systems Analytics and Optimization

Credit Hours: 3 Lecture: 3 Lab: 0

Healthcare delivery presents numerous systems analysis problems including diagnosis, forecasting, scheduling, and optimization. The objective of this course is to provide students with an overview of systems analysis and optimization in healthcare decision making. Students will apply statistical methods including Bayesian belief networks and Dempster-Shafer theory, linear and nonlinear optimization techniques including simplex and greedy-based algorithms, and Monte Carlo modeling. Students will be exposed to several real-world projects for health care. Students will learn about current problems in healthcare systems.