Introduction to Design of Experiments (DOE)

Course Goal

This theory course covers the basics of designing and statistically analyzing experiments. This software-independent course is also suitable for participants who do not use Statistica. In order to deepen the understanding of the covered topics, participants will interactively work through a series of practical examples using Statistica.

Target group

This course is aimed at professionals from various industries who work in research and development or quality assurance and are interested in learning the basic principles of designing and analyzing experiments.

Course contents 

This course is a practical guide for the various topics and concepts of Design of Experiments. In specific, the following topics will be covered:

  • Basic principles of experimental methodology
  • Preparations for planning and conducting experiments
  • Strategies for planning and conducting experiments
  • Full factorial and fractional factorial designs for 2-level factors
  • Main effects and interactions
  • Statistical analysis using linear models
  • Designs for modeling quadratic relationships
  • Response surface designs
  • Optimization of response variables
  • Transformation into physical variables
  • Screening designs for 2-level factors
  • Statistical analysis of quadratic models and their limits

The training consists of introductions to the above-mentioned topics and their fields of application. Various examples from different industrial problems will be used to underline the practical importance of the covered topics.

Requirements 

Basic knowledge in statistics is required. Experience in designing and analyzing experiments is not required.

Complementary courses
 
Participants who require preparational training are recommended to enroll in our theory courses "Introduction to Statistics" (STA1). Suitable follow-up complementary courses are "Linear models" (STA2), "Advanced Design of Experiments" (VPL2). Further courses focusing on the practical implementation of designing and analyzing experiments are "Statistica Analytics" (ANL1).

Duration: 2 days            Time: 9:30 am - 5:00 pm            Price: EUR 1600,- (VAT not included) per Person

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