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, 2021

SLN/Section Time Location Instructor
20441 A
Open

M W F 10:00AM - 11:20AM

* *

Youngjun Choe

OFFERED VIA REMOTE LEARNING