Statistical Designs for Process Improvement
General
Prefix
STAT
Course Number
524
Course Level
Graduate
Department/Unit(s)
College/School
College of Science and Engineering
Description
A study of statistically designed experiments which have proven useful in product development and process improvement; topics include randomization, blocking, factorial treatment structures, fractional factorial designs, screening designs, Taguchi methods, response surface methods; use of statistical software.
Prerequisites
Credits
Min
3
Max
3
Repeatable
No
Goals and Diversity
MN Goal Course
No
Cultural Diversity
No
Learning Outcomes
Outcome
Explain basic concepts of statistical process control.
Outcome
Construct control charts.
Outcome
Apply basic experimental design techniques to product development and process improvement.
Outcome
Analyze the connections between the learning outcomes of this course and the larger picture of undergraduate statistics and the student's own experience, or explore a subset of course topics in greater depth than what is required for the typical undergraduate student, or both.