Design of Experiments Training Classes and Seminars

Design of Experiments : Statistics : Advanced Training Course Experimental Design Statistic Apart from an Introduction to the Design of Experiments, this training session focuses on the design and the analysis of highly complex experimental designs. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints, repeated measures , etc. Their design and analysis will... more...

Multivariate Data Analysis(MVA) & Design of Experiments(DoE)- Chemometrics & Sensometrics Applications The integrated course has been designed to give participants a strong foundation in the basics and fundamentals of Multivariate Data Analysis (MVA) and Design of Experiments (DoE) The course combines theoretical studies and practical workshops, ensuring that each participant gets individual focus, and understands the practical uses of MVA & DoE applications in R&D, Product Development,... more...

Experimental Design (DoE) This three-day class is a hands-on, practical application workshop that will teach participants to use The Unscrambler Experimental Design suite to design and conduct experiments. The course will provide participants with an overview of Experimental Design, its importance in Multivariate Statistics and an introduction to classical experimental strategies. Participants are encouraged to bring... more...

Introduction to the Design of Experiments This course covers the fundamental concepts in statistics in a non-technical and applied way. This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing,... more...

Advanced Experimental Designs This course covers the fundamental concepts in statistics in a non-technical and applied way. This session focuses on the design and the analysis of more complex experimental designs than those seen in the Introduction to the Design of Experiments course. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints,... more...

Introduction a la planification d'exp riences Cette formation fait le tour des concepts fondamentaux en statistique d'une mani re non-technique et appliqu e. Cette formation couvre les aspects suivants: l'importance de reconna tre le type de variables (r le dans l'exp rience, les valeurs qu'elles prennent),les statistiques descriptives, comment mettre en relation des variables, la statistique inf rentielle (principe,... more...

Screening and Optimization Designs Target Audience This applied training session in statistics is aimed at all scientific staff collecting data and making decisions based on them. Aims It covers the design of efficient experiments requiring few runs for screening and optimization purposes. Prerequisites This three-day course deals with the construction of advanced designs for screening and optimization. It assumes... more...

Design of Experiments training Design of Experiments (DOE Basic) emphasizes the 2-Step Optimization of first reducing variation, and then, adjusting to target performance in processes and products. This course is designed on a take-back-and-do approach. The course keeps statistics to the minimum and practical aspects to the maximum so that even engineers with little mathematics can understand. Delegates should see immediate... more...

Design of Experiments - Public Seminar Our four-day introductory and intermediate topics course on design of experiments provides the attendees with the skills necessary to setup and analyze powerful orthogonal array experiments. Compared with traditional testing strategies, companies typically obtain a 50% reduction in the time and money required to conduct tests when applying the powerful approaches of DOE. Efficient and effective... more...

Design of Experiments for Injection Molding Injection molders must be able to quickly identify the optimal setpoints for molding process variables in order to meet customer performance requirements for dimensions and part appearance. The complexity of this task grows exponentially as the number of customer critical characteristics increases. Trial and error approaches are highly inefficient in these situations. Simple experimental design... more...

Design of Experiments elearning course This session is geared toward the technician, engineer, scientist or manager who wants to understand how to conduct simple (but powerful) designed experiments without unnecessary statistical rigor. Finding time for a three to five day seminar is becoming increasingly difficult. Travel problems associated with seminar attendance have increased dramatically. On-Line learning provides a... more...