Design of Experiments (DOE) II: Applied DOE for Test and Evaluation

Course Description

Study lessons and case studies of the application of Design of Experiments (DOE) in Test and Evaluation (T&E). Learn the perspectives of both statisticians and Department of Defense testers on how DOE can be effectively applied to test design and overall system evaluation. Begin with a basic overview of statistic principles and hypothesis testing, then concentrate on test designs, analyzing data from tests and how to handle difficulties that arise in test plans. Specific difficulties of interest will include limited live tests, combining live and virtual test data, working with very large test spaces and analyzing systems with discontinuous or nonlinear responses.

Available Classroom Sections

Start Date End Date Registration Deadline Format Location Cost CRN
Section Details Sep 20, 2016 Sep 22, 2016 Sep 20, 2016 Classroom Atlanta, GA $1,250 16069
View previous sections
View Previous Sections
CRN Start date End date Format Location Cost
14198 Aug 26, 2014 Aug 28, 2014 Classroom Atlanta, GA $1,250
15296 Sep 22, 2015 Sep 24, 2015 Classroom Atlanta, GA $1,250

Special Discounts

GTRI employees are eligible for a discount on this course.  If you are a GTRI employee, please go to for a coupon code to use when checking out.  

Note: Coupon codes must be applied during checkout. Coupon codes cannot be redeemed after your checkout is complete. Only one coupon code can be used per shopping cart.

Who Should Attend

Engineers, scientists and managers who want to apply DOE to test design

How You Will Benefit

  • Learn how to apply DOE to test design and interpret analysis for evaluation.

  • Understand how to reduce the many potential input variables through literature searches, talking to experts, combining and screening, if necessary, in order to get down to the vital few inputs.

  • Know alternative scientific approaches – including DOE – that can yield information about the outputs relative to the inputs.

  • Decide on the correct DOE design to use, if appropriate, for a particular problem.

  • Learn how to recover from difficulties encountered in analyzing test results.

  • Know how to portray DOE methods in Test Plans and DOE results in Test Reports.


  • Basic statistics principles
  • Selecting the best design for a test
  • Creating a test hypothesis based on requirements
  • Parameterization
  • Proper use of modeling and simulation
  • Test cases: Missile testing, radar susceptibility and intelligent vehicle

For Course-Related Questions

Please contact the course administrator: Steven Gordon