161.325 Statistical Methods for Quality Improvement (15 credits)

A comprehensive introduction to statistical process control, industrial experimentation and other methods of quality improvement and management. Topics covered include a brief introduction to quality, total quality management, simple tools for quality improvement and ISO 9000. The major topics covered are control charts, process capability, factorial experiments, fractional replication of 2^k design, response surface methods, Taguchi methods and acceptance sampling. Special emphasis will be given to the use of appropriate statistical software.

Note(s): Access to a Windows PC and an approved statistics package is required for analysis of data.

Requirements

• Prerequisite(s): One of 161.200, 161.220, 161.230, 161.240
  General Prerequisite: At least 45 credits from 200 level.

Offerings

There are no offerings currently available for this course

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