Applying Design of Experiments and Visual Analytics

Friday, March 14, 2008 | Phoenix, AZ

Talk #1: Practical Application of Design of Experiments

This presentation will introduce the concept of Design of Experiments (DoE) in the context of screening and modeling applications. Screening tests are used to determine what the significant factors are in an engineering process. Modeling applications seek to construct a predictive model based on a set of observations. Different types of experimental designs and the pros and cons of each will be discussed. Participants will learn guidelines for selecting a type of DoE based on the required application. The instructor will then demonstrate how the JMP software can be used to create classical designs, space-filling designs, and custom designs. Techniques for checking the validity of a design and for visualizing the design in JMP will also be demonstrated.

Talk #2: Visual Analytics Using Surrogate Models

This presentation will introduce the concept of Visual Analytics: the science of processing visual information for the purpose of analysis. A number of example problems from aerospace and defense will be demonstrated. This presentation will show how surrogate models, created using the JMP software, can be dynamically executed using a number of graphical platforms in JMP. The instructor will demonstrate how these highly accurate, rapid approximations of physics-based design tools can be used to interactively explore a trade space and provide decision makers with an enhanced volume and quality of information. Techniques such as polynomial response surfaces and artificial neural networks will be demonstrated. Participants will see the use of the JMP prediction profiler, contour profiler, surface profiler, multivariate plot, scatterplot 3D, and the data filter.

About the Georgia Tech Aerospace Systems Design Laboratory (ASDL)

The Aerospace Systems Design Laboratory (ASDL) at Georgia Tech is the largest academic organization in the world dedicated to the design and optimization of unconventional systems. Specializing in the use of physics based design tools, ASDL uses statistical techniques such as Design of Experiments, Response Surface Equations, and Neural Networks to enable rapid design space exploration and technology identification for a wide range of systems including aircraft, space vehicles, propulsion systems, rotorcraft, unmanned aerial vehicles, and large-scale systems-of-systems. The discovery of design solutions that are innovative and game changing is enabled through the use of statistical techniques, probabilistic methods, and advanced visualization. JMP has been identified by ASDL as a world-class solution in all three areas.

Agenda*

* Agenda subject to change without notice.

Featured Speaker

Dr. Patrick Biltgen
Aerospace Systems Design Laboratory, Georgia Institute of Technology

Register Today

Date: Friday, March 14, 2008
Time: 8:30am - 2:30pm
(Lunch included)
Cost: FREE

Location: SAS Phoenix Training Center
Phoenix Plaza, Tower One
Suite 1750
2901 North Central Avenue
Phoenix, AZ 85012

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Additional Dates

Date: Wednesday, March 12, 2008
Time: 8:30am - 2:30pm
(Lunch included)
Cost: FREE

Location: Radisson Los Angeles West Side
6161 Centinela Ave.
Culver City, CA 90230

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