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Education and Training: Experiment Design for Engineers and Scientists |
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| Time and Location |
Experiment Design for Scientists and Engineers
James Filliben and Ivelisse Aviles Statistical Engineering Division, NIST Monday-Friday February 4-8, 2002 8:30am - 5:00pm Adminstration Building, Lecture Room B NIST Gaithersburg, MD |
| Abstract |
Experiment design is a systematic, rigorous, data-based
approach to scientific/engineering problem-solving. The
goal is to generate valid, unambiguous, and reproducible
conclusions about the scientific/engineering process of
interest, and to do so in a time- and cost-efficient fashion.
This class covers the fundamental principles and techniques
for both the construction and analysis of designed
experiments. The class illustrates the powerful
problem-solving role of designed experiments by application
to a wide variety of scientific/engineering problems. Upon
completion of the course, the scientist/engineer will be able
to classify his/her problem in to the proper design category;
translate a problem into design essentials; construct the
proper time/cost-efficient design; run the design in a
conclusion-protective fashion; analyze the data resulting
from the design quantitatively and graphically; and draw
appropriate conclusions.
All students will construct an optimal design for their own scientific/enginering project. The classroom learning experience will be reinforced by in-class exercises. Software solutions will be discussed and provided. |
| Comments on Course |
CLASS SIZE IS LIMITED TO 40.
REGISTRATION FEE IS $150. A 450-page set of notes will be provided for the class, and a textbook (Box, Hunter, Hunter: Statistics for Experimenters, Wiley) will be utilized. |
| Further Information |
For further information, contact
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Date created: 2/1/2002 |
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