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: either IND E 315, STAT 341, or STAT 390. Offered: jointly with IND E 316; W.
Syllabus Downloads
Current Time Schedule
Winter, 2025
SLN/Section | Time | Location | Instructor |
---|---|---|---|
20732 A Open |
T Th 2:30PM - 4:20PM |
GWN 201 |
John Y. Choe |
|