SS505 Intro to Design of Experiments (DOE)

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Course Description

This course will prepare you to unlock the secrets to your processes --- what are the key process configuration variables, their effects on the final process outputs – products, service or administrative task --  they produce and how to combine them optimally to give you the results you and your customers need. In 1 ½ days you will learn how to design an experiment, how to make sure it tells you what you want to learn from it, how to find the sweet spots for the processes outputs important to you, how to define process windows, and how to look for opportunities to build-in robustness. You will not only learn the underlying concepts important to assuring your ability to design effective experiments but will have plenty hands-on experience opportunities to practice your new skills on simulated and live processes.

Questions about this course? Please contact CEPE at or 503.719.7655


A laptop is required for this course.

A basic understanding of statistics is preferable. Concepts such as histograms, distributions, mean and standard deviation, area under the normal curve, and the central limit theorem are helpful but will be reviewed in the course. Prior training in regression analysis and hypothesis testing isn’t required as we will teach the applicable principles as part of this course; however, they provide an excellent preparation.

Applies Towards the Following Certificates


  SS505 - 008 Intro to Design of Experiments (DOE)      
  2017-2018 - Fall 2017   Status:  Available
Number of Sessions: 2 Sessions
Contact Hours: 11.5
Course Fee(s):
Course fee non-credit    689.00
Potential Discount(s):
Early Bird Discount
Referral Discount
  1.15 CEUs
Location:   Center for Executive and Professional Education
In-class:   Thu 8:00AM - 4:30PM
16 Nov 2017
Building: Crown Plaza Building
Room: Ross (100B3)
In-class:   Fri 8:00AM - 12:00PM
17 Nov 2017
Building: Crown Plaza Building
Room: Ross (100B3)
Delivery Options:  In Class
Instructors: Steve Zagarola
  Section Notes:  

Class dates are November 16 from 8:00 am - 4:30 pm & November 17 from 8:00 am - 12:00 pm.


Cancellation Policy

The deadline to drop or transfer is at midnight five days before the class start date.