INTRODUCTION TO QUALITY ENGINEERING

Prerequisites & course information

Requisites: ( I SY E 210 , MATH/STAT 310 , 410, STAT 312 , B M E 325 , or concurrent enrollment), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Design experiments for various phases of engineering work, including new product design and development, process development, manufacturing process improvement, and health systems design and improvement Audience: Both Grad & Undergrad 2. Analyze the results of experiments conducted at different phases of engineering work Audience: Both Grad & Undergrad 3. Apply data analysis skills in statistical methodologies, graphical displays, and visual and inferential interpretations Audience: Both Grad & Undergrad 4. Work effectively in an experiential project focused on applying appropriate statistical tools and techniques Audience: Both Grad & Undergrad 5. Explain the eight phases of Six Sigma and apply these steps to a wide range of actual situations Audience: Both Grad & Undergrad 6. Demonstrate ability to synthesize applications of statistical methodologies via analysis of current literature and case studies Audience: Graduate Learning Outcomes: 1. Design experiments for various phases of engineering work, including new product design and development, process development, manufacturing process improvement, and health systems design and improvement Audience: Both Grad & Undergrad 2. Analyze the results of experiments conducted at different phases of engineering work Audience: Both Grad & Undergrad 3. Apply data analysis skills in statistical methodologies, graphical displays, and visual and inferential interpretations Audience: Both Grad & Undergrad 4. Work effectively in an experiential project focused on applying appropriate statistical tools and techniques Audience: Both Grad & Undergrad 5. Explain the eight phases of Six Sigma and apply these steps to a wide range of actual situations Audience: Both Grad & Undergrad 6. Demonstrate ability to synthesize applications of statistical methodologies via analysis of current literature and case studies Audience: Graduate