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MTQ 622. Quality Engineering

Credits: 3
Department: Regulatory Affairs
Description: Tools and applications for the design and manufacturing of quality medical devices, application of predictive statistics for sampling, statistical process control, and how to address multiple variables through design of experiments.
Semester Offered: DEMAND
Grading Method: ABCDF

Student Learning Outcomes

1. Apply modern concepts of Quality Engineering and experimental design.
2. Create and apply Statistical Process Control charts, calculate process capability , and control limits.
3. Summarize and apply the stages of a Six Sigma improvement; Define, Measure, Analyze, Improve, and Control (DMAIC) and design process; Identify, Design, Optimize, & Verify (IDOV).
4. Determine appropriate sample sizes based on desired product or process confidence and reliability.
5. Design, conduct, and analyze experiments in order to quantify and control key variables and improve quality.
6. Select and use software tools for use in quality data analysis.






The contents in this catalog and other university publications, policies, fees, bulletins or announcements are subject to change without notice and do not constitute an irrevocable contract between any student and St. Cloud State University.