Information and Decision Sciences

IDS 474 Quality and Productivity Improvement using Statistical Methods

Credit hours 3 -Undergraduate 4 -Graduate
Catalog description Directed experimentation for quality and productivity improvement, quality surveillance, design and analysis of two-level factorial experiments and multi-level experiments, data transformation.
Key topics
  • Quality and the Art of Discovery
  • Descriptive Measures for Data and Comparisons of Sample Means
  • Generation and Examination of Two-Level Factorial
  • Data Analysis of Two-Level Factorial and Fractional Factorial Designs
  • Residual Analysis and Diagonostic Checking
  • Designing Robust Products
  • Regression Analysis
  • Analysis of Variance for Experimental Designs
  • Response Surface Methodology
Prerequisites for this course IDS 371 or concent of instructor
Course(s) for which this is a prerequisite None
Required course for None
Elective course for Selective course for IDS Majors
MBA Students with a Specialization/Concentration in Statistics
Frequency of offering Not consistently offered
Recent offerings, instructors, syllabi Last offered in Spring 1995
Planned offerings None
Cross-listings None
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