Design of Experiments (DOE) | Web Course

Course Objective.

On completion, participants will know how to:

• Create efficient experimental designs to match the investigation objective.
• Analyze experimental data using sound statistical principles
• Use graphical and statistical tools for model interpretation
• Communicate the results in graphical and statistical format
• Use numerical and graphical optimization tools
• Understand limitations and possibilities in complex applications
• Create follow up experiments when applicable

Who Should Participate?

The open web course is intended for researchers, scientists, and engineers from all sectors of industry and academia. Typical applications include product development, process improvement, optimization, validation, and quality control. Prior knowledge of statistics is beneficial but not needed.

Selected Course Content

• Understanding the DOE concept
• Data modeling and model diagnostics
• Create a solid base for decisions
• Find the design space when applicable

Language Information

Seminars are given in the language stated. In-depth discussion, course material, and printed material are in English; hence knowledge of English is required.

Schedule

Session 1 (3.5h):

• Introduction to Sartorius Data Analytics
• General introduction to DOE, with customer examples
• Basics of DOE
• Problem Formulation
• Design Wizard
• Selection of goals, factors, responses, type of model, and design
• Software click-along demo, followed by an Exercise

Session 2 (3.5h):

• Screening designs
• Introduction to Full factorial designs
• Analysis Wizard
• Evaluation of raw data
• Regression analysis and model interpretation
• Introduction to Fractional factorial designs
• Design quality parameters
• Software click-along demo, followed by an Exercise

Session 3 (3.5h):

• Example of setting up a screening design
• How to use the Analysis Wizard
• Outcome of screening and next steps
• How to resolve confounding
• Software click-along demo, followed by an Exercise
• Optimization designs
• Setting up optimization designs
• Analyzing optimization designs

Session 4 (3.5):

• Optimization wizard
• Sweet Spot Plot, Design Space plot
• Setpoints; Robust, Optimal
• Normal Operation Range, NOR
• Proven Acceptable Range, PAR
• Further Exercises
• Course debriefing and next steps

Course Material and Software

The electronic course material (course slides and exercises) and the MODDE® course license will be emailed two weeks before the course starts. MODDE® needs admin rights to be installed, so please get in touch with your organization’s IT as soon as possible if needed. Sartorius cannot help you to install MODDE®. For ease of visualization, we recommend that you have two monitors/screens per PC to follow the course and demos easily. However, this is not a requirement.

Cost and Conditions

This open web course fee is 1750€ per person (2025 price).

Cancellations received less than two weeks before the course will not be refunded. For courses cancelled more than two weeks before the course starts, Sartorius Stedim Data Analytics AB will retain 10% of the course fee to cover administrative costs, and the remaining amount will be refunded.

The registering company can substitute course participant(s) as long as Sartorius Stedim Data Analytics AB is notified before the course commences.

Sartorius Stedim Data Analytics AB provides open web courses based on a specific number of registrants per session. Therefore, Sartorius Stedim Data Analytics AB reserves the right to cancel the course 14 days before the course start date if the number of registrants is below the minimum number needed. In the event of a cancellation, a full refund will be provided, along with a 10% discount for affected registrant(s) to enroll in the next available course.