STAT 316
Design of Experiments
4.0 credits
Course Description
Introduction to the analysis of data from planned experiments. Analysis of variance for multiple factors and applications of orthogonal arrays and linear graphs for fractional factorial designs to product and process design optimization. Regression analysis with applications in engineering. Prerequisite: IND E 315. Offered: jointly with IND E 316; W.
Current Time Schedule
Winter, 2023
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
|
20756 A Open |
M W F 2:30PM - 3:50PM |
MEB 106 |
Ji-Eun Kim |
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