Design of Experiments (DOE) II: Applied DOE for Test and Evaluation

  • Overview
  • Course Content
  • Requirements & Materials
Overview

Design of Experiments (DOE) II: Applied DOE for Test and Evaluation

Course Description

This course provides lectures and case studies on the application of Design of Experiments (DOE) in Test and Evaluation (T&E) and, more generally, in designing and producing high-quality products. You will gain knowledge through investigation of the perspectives of both statisticians and Department of Defense testers on how DOE can be effectively applied to test design and overall system evaluation. Beginning with a basic overview of statistical principles and hypothesis testing, the course will then concentrate on test designs, analyzing data from tests, and how to handle difficulties that arise in test plans. Specific difficulties of interest will include limited live tests, combining live and virtual test data, working with very large test spaces, and analyzing systems with nonlinear responses.

This course can be offered in a two-course format for on-site contract offerings only and can be purchased separately or together.  For more information contact Bill Holm.

  • Principles of Modern Radar: Basic Concepts (DEF 3502V)
  • Principles of Modern Radar: Advanced Techniques, Systems & Applications (DEF 3502W)

This course also provides a free tutorial (Principles of Modern Radar Tutorial) of basic engineering science principles.  If available, the tutorial will display as an optional item during the checkout process.

Course Content

Overview of DOE

  • Basic DOE history
  • Benefits of using DOE
  • Types of DOE designs
  • Incrementally increasing the design complexity
  • Test design principles

Review of Statistics

  • Descriptive statistics
  • Confidence intervals
  • Statistical control
  • Statistical power
  • Sample sizing tradeoffs

Types of DOE Designs

  • Comparison of ANOVA to DOE
  • Designs that accommodate hard-to-change factors
  • Split plot and nested designs
  • Blocked designs

Application of DOE

  • Case studies in applied DOE
  • Munitions against moving targets
  • Radar detection and tracking

Handling Data Issues

  • Handling missing data
  • Examples of missing replications
  • Examples of missing runs

Course Summary

  • Review of topics and questions
  • Discussion of types of DOE issues encountered by students
Requirements & Materials

Prerequisites

Who Should Attend

This course is designed for engineers, scientists, and managers who want to apply DOE to test design.

Adult professional attending defense tech course

What You Will Learn

  • Review of basic statistical principles
  • Fundamentals of DOE
  • Analysis of Variance (ANOVA)
  • Split-plot designs
  • Nested designs
  • Blocking
  • How to select the best DOE design for a test
  • How to create a test hypothesis based on requirements
  • Parameterization
  • Proper use of modeling and simulation
  • Test designs and DOE analyses for operational systems
Adult learners participating in classroom discussion

How You Will Benefit

  • Review of basic statistics principles, such as mean, variance, power, confidence intervals, factors, and design templates.
  • Explore how to select the best design for a test.
  • Learn how to create a test hypothesis based on requirements.
  • Understand parameterization and when to use it.
  • Understand proper use of modeling and simulation (test selection and data result purposes).
  • Learn to use the course skills in up to three test case studies (missile testing, radar susceptibility, and intelligent vehicle).
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    Taught by Experts in the Field
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The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.

- Abe Kani
President

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