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CS 660 Mathematical Foundations of Analytics

Course Description:
Review prerequisite concepts. SPSS Statistics overview. Basic tools for data collection, organization and description. Introduction to basic probability. How to determine, analyze and interpret samples. Hypothesis testing. Statistical process control. Process capability analysis. Analysis of variance. Regression analysis. Design of experiment. The Taguchi method. Measurement systems analysis. Nonparametric statistic. Pinpointing the vital few root causes.
Course Rotation: PLV: Fall

Credits

3 credits