This five-day course takes a hands-on, measurement-oriented approach to product development, providing participants with a toolkit of analysis methods and leveraging industry best practices, such as the Design-for-Six-Sigma methodology of DMADV (Define, Measure, Analyze, Design, Verify). This course builds upon basic statistical concepts from the Improving Process Performance Using Six Sigma course. More advanced and powerful analytical methods are introduced through short lectures and extensive hands-on practice sessions using problems traditionally faced by new product development teams. Participants learn a framework in the form of tools, methods, and practices for analyzing data to make more informed business decisions about project management (quality, schedule, and cost) and process and product performance.
Before registering for this course, participants must
Before attending this course, participants must
Students must bring a personal computer equipped with:
Participants will receive a course notebook with copies of the course slides.
This 5-day course meets at the following times:
Days 1-4, 8:30 a.m. - 5:00 p.m. (U.S. locations)
Day 5, 8:30 a.m. - 12:00 p.m. (U.S. locations)
Days 1-4, 9:00 a.m. - 5:30 p.m. (non-U.S. locations)
Day 5, 9:00 a.m. - 12:30 p.m. (non-U.S. locations)
Training courses provided by the SEI are not academic courses for academic credit toward a degree. Any certificates provided are evidence of the completion of the courses and are not official academic credentials.
Course Fees [USD]
U.S. Industry: $3000
U.S. Government/Academic: $2400
Carnegie Mellon University/Software Engineering Institute offices will be closed for winter break, December 23, 2016-January 2, 2017. SEI course registrations received during this period will be confirmed and enrollment completed on January 3, 2017.
This course may be offered by special arrangement at customer sites.