Design of Experiments (DOE) I: Introduction to DOE

Course Description

Learn the techniques for planning and completing studies in which the inputs to a system/process can be varied and the outputs observed. Explore efficient planning and analysis methods, including regression and analysis of variance, for determining which inputs have statistically significant effects on outputs. Derive transfer functions that will quantify the contributions of the inputs to the output variable(s) and to the standard deviation (variability) of the output variable(s). Examine full and fractional factorial experiments, randomization, and robust designs. Gain hands-on experience using statapults, computer games, and simulations. Observe design of experiments solutions using various software packages including DOE Pro, DOE KISS, and MINITAB. Explore simulation techniques that accommodate inputs with varying quality distributions and discuss Monte Carlo analyses of the derived transfer functions.

Available Classroom Sections

Start Date End Date Registration Deadline Format Location Cost CRN
Section Details Aug 14, 2018 Aug 16, 2018 Tuesday, August 14, 2018 - 23:59 Classroom Las Vegas, Nevada $1,250 18331
Section Details Nov 14, 2018 Nov 16, 2018 Wednesday, November 14, 2018 - 23:59 Classroom Atlanta, Georgia $1,250 18271
View previous sections
View Previous Sections
CRN Start date End date Format Location Cost
17027 Nov 8, 2017 Nov 10, 2017 Classroom Atlanta, Georgia $1,250
18270 Feb 27, 2018 Mar 1, 2018 Classroom Orlando, Florida $1,250

Special Discounts

GTRI employees are eligible for a discount on this course.  If you are a GTRI employee, please go to and look under “GT Professional Development” for a coupon code to use when checking out.

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



  • Working knowledge of probability and statistics

Who Should Attend

Engineers, technicians and managers who want to learn the techniques for designing experiments

How You Will Benefit

  • Characterize the system under test or the system to be analyzed.

  • Examine cause and effect, controllable inputs and accurate, repeatable measurement systems.

  • Understand how to generate orthogonal designs and their benefits.

  • Efficiently design and conduct experimental studies for comparative evaluation, input-output characterization, output variance control, input sensitivity and process control/optimization.

  • Validate transfer function results or recover from lack of confirmation.


  • Statistics review, confidence and power

  • Relationship to quality programs

  • Design of experiments examples and projects

  • Fractional factorial and screening designs

  • Finding interactions

  • Finding quadratic effects

  • Final challenge project



  • Textbook and course notes
  • Single-output Design of Experiments software package


  • Laptop computer

For Course-Related Questions

Please contact the course administrator: Steven Gordon