MTI Introduction to Design of Experiments


Introduction to Design of Experiments

taught by Jim Rutledge

 

Aim of Course:

This online course, "Introduction to Design of Experiments" will teach you how to use experiments to gain maximum knowledge at minimum cost. For processes of any kind that have measurable inputs and outputs, Design of Experiments (DOE) methods guide you in the optimum selection of inputs for experiments, and in the analysis of results. Full factorial as well as fractional factorial designs are covered - see the course outline below for additional details.

Course Program:

 

13 April - 19 April
LESSON 1: Foundations of DOE
   
20 April - 26 April
Minerals Technologies - review week

27 April - 3 May
LESSON 2: Simple Designs and Their Analysis

4 May - 10 May
Minerals Technologies - review week

11 May - 17 May
LESSON 3: Design Types

18 May - 24 May
Minerals Technologies - review week

25 May - 31 May
LESSON 4: Practice Conducting and Analyzing Experimental Data
 
1 June - 7 June
Minerals Technologies - review week


HOMEWORK:

Homework in this course consists of short answer questions to test concepts, guided data analysis problems using software, and guided data modeling problems using software.


In addition to assigned readings, this course also has discussion tasks, and an end of course data modeling project.

MTI Introduction to Design of Experiments

Who Should Take This Course:
All six-sigma practitioners, scientists, engineers, and technicians who are interested in performing experiments that maximize process knowledge with a minimum amount of resources. Managers who are responsible for delivering products "on time" and "on budget" will also benefit from this course by learning what their employees should be doing. This course will stress the application of DOE rather than statistical theory. While design of experiments has been very successfully applied in research and development, that is not the only application. The techniques presented also apply to manufacturing, quality control, and even marketing.
Level:
Introductory/Intermediate
Prerequisite:
You should be familiar with basic statistics.

 

Course Text:

Understanding Industrial Designed Experiments by Schmidt et al is the required text for this course. The text comes with software that will be used in the course.

Software:
The course makes use of an Add-In to Microsoft Excel. The Excel Add-In comes with the course text. The Add-In should function with Excel 2000 and above, note however, the course notes are written with examples from Excel 2003.
Instructor(s):

Dates:

To be scheduled.

MTI Introduction to Design of Experiments

Instructor(s):

Dates:
To be scheduled.

Course Fee: $0 Prepaid - MTI - as you register, select the "bill me later" option. The $50 service charge will be removed.

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

Prepaid - MTI - as you register, select the "bill me later" option. The $50 service charge will be removed.

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