Course Catalog

Design and Analysis of Experiments (DoE)

Description

Welcome to "Design and Analysis of Experiments (DoE)," a comprehensive course designed to take you from the basics to the intermediate level of understanding and applying DoE principles. This course is crafted for learners from various sectors, using simple case studies such as coffee tasting and catapult experiments to ensure a clear focus on core concepts.

Why Choose This Course?

Systematic Approach: Learn the systematic approach to studying the relationship between various inputs (factors) and key outputs (responses).
Hands-On Learning: Engage with manual calculations on simpler processes to build a solid foundation in DoE.
Sector-Neutral Case Studies: Focus on fundamental concepts through easy-to-understand examples.
Statistical Knowledge: A quick refresher on ANOVA and Regression Analysis ensures you have the necessary background to interpret DoE results.

Course Structure: This course consists of video lectures, readings, and quizzes that build upon each other to ensure you gain a firm grasp of the topics covered.

Topics Covered:

Section 1: Basics of Design of Experiments

Understand common terms used in DoE.
Learn about factorial and partial factorial designs through the coffee tasting example.
Explore the catapult experiment to understand process variation.
Other key concepts include Blocking, Analysis of Covariance, Replication, Confounding, and Design Resolutions.

Section 2: ANOVA and Regression

Review these critical statistical principles to provide sufficient knowledge for interpreting experimental results.

Section 3: Screening, Modelling, and Optimizing

Screening: Use Plackett-Burman Design to reduce the number of factors to be studied.
Modelling: Apply full factorial, fractional factorial, and Split Plot Designs (for Hard to Change Factors).
Optimizing: Optimize processes using Central Composite Design (CCD).

Who This Course Is For:

Quality Engineers
Quality Managers
All Engineers
Performance Improvement Professionals
Anyone who wants to understand the behavior of complex processes to achieve desired outcomes

What You'll Learn:

Fundamentals of the Design of Experiments (DoE) using simple, understandable examples.
Techniques for Screening (Plackett-Burman), Modelling (Full, Fractional Factorial, and Split Plot Designs), and Optimizing (Central Composite Design) Designs.
A quick refresher on ANOVA and Regression Analysis to help you clearly understand analysis results.
A clear understanding of Blocking, Analysis of Covariance, Replication, Confounding, and Design Resolutions.

Enroll Now: Join us in this comprehensive course to master the principles and applications of the Design of Experiments, and take your understanding of quality and process improvement to the next level. Enroll now and start your journey to becoming proficient in DoE!

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