Students use visualization and cluster analysis tools to gain deeper insights into production and logistic relationships. Students apply data analytic process to real-world production problems and questions, including evaluating production throughput, factor isolation and output risk analysis, modeling production changes, forecasting environmental control factor changes, and minimization of defects and shortages. Students tune models to represent current-state and adjust models as underlying assumptions change. Students cannot receive credit for both this course and ENGR 6210 or ENGR 6215.
Spring | Summer | Fall | ||
---|---|---|---|---|
(Session 1) | (Session 2) | |||
2024 | ||||
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 |