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IND 605

Experimental Design and Quality Assurance

The objective of this course is to introduce students to the design of experiments as well as statistical quality control. Topics on experimental design include single-factor experiments, block designs, factorial designs, 2-factor experiments and Taguchi's approach to parameter design. Topics on quality control include product flow chart, cause-effect diagram, Pareto Analysis, statistical process control, acceptance sampling and Taguchi's approach to quality.
Weekly Contact: Lab:1 hr. Lecture:3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

MTH 410, CPS 125, PCS 211, CMN 432

Antirequisites

None

Co-Requisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.

Industrial Engineering

  • IND 108
    Data Analytics for Non-Data Analysts
  • IND 110
    Data Organization for Data Analysts
  • IND 119
    Introduction to Big Data
  • IND 123
    Data Analytics: Basic Methods
  • IND 300
    Introduction to Management
  • IND 303
    Work Measurement, Analysis and Design
  • IND 400
    Facilities Design
  • IND 405
    Introduction to Data Science and Analytics
  • IND 508
    Operations Research I
  • IND 600
    Systems Modeling and Simulation
  • IND 604
    Operations Research II
  • IND 605
    Experimental Design and Quality Assurance
  • IND 708
    Information Systems
  • IND 70A/B
    Industrial Systems Design
  • IND 710
    Production and Inventory Systems
  • IND 712
    Industrial Ergonomics
  • IND 713
    Project Management
  • IND 719
    Big Data Analytics Tools
  • IND 810
    Flexible Manufacturing Systems
  • IND 816
    Service Operations Management
  • IND 832
    Reliability and Decision Analysis
  • IND 833
    Financial Engineering