Students use visualization and cluster analysis tools to gain deeper insight into health industry relationships. Students apply data analytic process to real-world health care problems and questions, including resources scheduling optimization, therapeutic effectiveness analysis, population intervention studies, demographically-related health trends, and benchmark setting for standard of care dashboard development. Students tune models to represent current-state and adjust models as underlying assumptions change. Students cannot receive credit for both this course and ENGR 6205 or ENGR 6215 .
| Spring | Summer | Fall | ||
|---|---|---|---|---|
| (Session 1) | (Session 2) | |||
| 2023 | ||||
| 2022 | ||||
| 2021 | ||||
| 2020 | ||||
| 2019 | ||||
| 2018 | ||||
| 2017 | ||||
| 2016 | ||||
| 2015 | ||||
| 2014 | ||||
| 2013 | ||||
| 2012 | ||||
| 2011 | ||||
| 2010 | ||||
| 2009 | ||||
| 2008 | ||||
| 2007 | ||||
| 2006 | ||||
| 2005 | ||||
| 2004 | ||||
| 2003 | ||||
| 2002 | ||||
| 2001 | ||||
| 2000 | ||||
| 1999 | ||||
| 1998 | ||||