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Industrial Design of Experiment

Course Search > Engineering/Engineering Technology > MECH.5750

Course No: MECH.5750-061; SIS Class Nbr: 8966; SIS Term: 2930
Course Status: Registration Closed

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 & Instructor

  • Prerequisites: Students with a CSCE career need permission to take Graduate Level Courses.
  • Special Notes:
  • Section Notes:
  • Core Codes: STEM
  • Credits: 3; Contact Hours: 3
  • Instructor: Sammy Shina
  • Textbook Information

When Offered & Tuition

  • Online Course
  • Spring 2020: Jan 21 to Apr 05
  • Course Level: Graduate
  • Tuition: $1770
  • Note: There is a $30 per semester, nonrefundable registration fee for credit courses.

Related Programs: M.S. in Engineering Management

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