JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to use JMP Student Edition to teach modern algorithmic techniques for design of experiments. Topics include:

• Optimal designs for factor screening and response surface experiments.
• Placing constraints on randomization, run size, and the factor space.
• Analysis of DOE data with linear regression.
• Relevant JMP teaching resources.

The webinar will include a 30-minute presentation followed by up to 15 minutes of Q&A with the presenter.

Register to attend: https://www.jmp.com/en/events/americas/live-webinars/academic/2026/04-22-teaching-design-of-experime...