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Design of Experiments

An advanced, practical course in planning, running and analysing designed experiments in plants and laboratories: full and fractional factorials, screening designs, response surface methods, mixtures, robust design and split-plot designs, with every analysis worked in full. A single coating case study runs from the first plan to confirmed new settings. It assumes basic statistics and does not award a certification or a Six Sigma belt.

Taught by iCompetent

Modules
8
Lessons
42
Duration
10h 29m
Level
Advanced
Quizzes
8 graded

Course content

8 modules · 42 lessons · 10h 29m

Why changing one factor at a time misleads, the vocabulary every designed experiment uses, and the sequential strategy that takes a team from many candidate factors to one confirmed setting.

  • Why One-Factor-at-a-Time Fails
    Preview
    14 min
  • The Vocabulary of DOE: Factors, Levels, Responses and Runs14 min
  • Effects, Interactions and Confounding15 min
  • Resolution, Power and the Sequential Strategy14 min
  • Where DOE Fits, and What This Course Assumes13 min
  • Module 1 quiz7 questions · pass 70%

Topics covered

Design of Experiments
Six Sigma
Response Surface Methodology
Robust Design
Statistics

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