Industrial Design of Experiment

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Course No: MECH.5750; Last Offered: Fall 2021;

Course Description

Concepts of Robust Design and statistical Design Of Experiments (DOE) as applied to the design and manufacturing of new high technology products. Classical and current methodologies of DOE including Full Factorial, Fractional Factorial, Taguchi, Central Composite and Yates Algorithms. The course will also provide for different methods for experimental design and analysis, including average and variability analysis. Commercial software packages and case studies using industrial experiments will be used to illustrate the material.

Prerequisites & Notes

  • Prerequisites: CSCE Graduate Restrictions
  • Special Notes:
  • Credits: 3; Contact Hours: 3

Questions About This Course?

Contact the Advising Center at 978-934-2474 or Continuing_Education@uml.edu

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