Design of Experiments (DOE) | Onsite 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 principlesUse graphical and statistical tools for understandingCommunicate the results in graphical formatUse numerical and graphical optimization toolsUnderstand limitations and possibilities in conflict situationsCreate follow up experiments when applicableWho Should Participate?The 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. No prior knowledge of statistics is assumed. Selected Course ContentUnderstanding the DOE conceptData modeling and diagnosticsCreate a solid base for decisionsFinding the optimal settingLanguage InformationSeminars are given in the language stated. In-depth discussion, course material, and printed material are in English; hence knowledge of English is required. ScheduleSession 1 (3.5h): Introduction, Full factorial designs.Introduction to Sartorius Data AnalyticsFocus on how and when should Design of Experiments be used?Problem formulationSelection of goals, factors, responses, type of model, and designProperties and analysis of Full factorial designsSoftware click-along demoSession 2 (3.5h): Analysis of data, screeningIntroduction to Fractional factorial designsEvaluation of raw dataRegression analysis and model interpretationScreening designs, which factors dominate, and what are their optimal ranges?Software click-along demoSession 3 (3.5h): Causes of Bad Models, Post Screening actionsRegression analysis and model tuning to get better modelsWhat to do after the screening, optimization, or modification of the designSoftware click-along demoSession 4 (3.5): Optimization, Extra Exercise timeIntroduction to optimization designsMODDE® optimization toolSoftware click-along demoCourse debriefing and final Q&ACourse Material and SoftwareThe 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 IT soonest. Sartorius cannot help you to install MODDE®. We recommend you have two screens or one projector and one PC to follow the course and demos easily. However, this is not required. PreparationWe recommend listening to “Design of experiments (DOE) for the beginner” before the course start (watch recording).If you have any questions, please do not hesitate to send an email to: umetrics_academy@sartorius.com Cost and ConditionsThe course fee is 1630€ per person. Cancellations received later 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 rest of the amount will be refunded. The registering company can substitute course participant(s) as long as Sartorius Stedim Data Analytics AB is notified. Sartorius Stedim Data Analytics AB provides courses based on a sufficient number of registrants. 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 too low. A full refund will be made to these registrants. A 10% discount will be made to any registrant(s) enrolling in the next available course.