top header
top gradation HOME top vertical line top vertical line top vertical line top vertical line top vertical line top vertical line top vertical line menu gray
black line 2
menu gray tab More About ATI
menu blue ATI — Who We Are
white line
menu blue Contact ATI Courses
white line
menu blue List Of ATI Courses
white line
menu blue Attendees Testimonials
white line
menu blue The ATI FAQ Sheet
white line
menu blue Suggestions/Wait List
white line
menu blue New Courses
white line
menu blue Become an ATI Instructor
menu gray tab site resources
menu blue Acoustics & Sonar
white line
menu blue Rockets & Space
white line
menu blue GPS Technology
white line
menu blue ATI Blog
white line
menu blue ATI Space News
white line
menu blue ATI Site Map
white line
menu blue ATI Staff Tutorials
white line
menu blue ATI Sampler Page
white line
menu gray tab bar
menu gray tab courses
white line
menu blue Current Schedule
white line
menu blue Onsite Courses
white line
menu blue Register Online
white line
menu blue Request Brochure
white line
menu blue Free On-Site Price Quote
white line
menu blue Download Catalog
white line
menu blue Distance Learning
black line  

ATI's Practical Design of Experiments course

Share |


    Technical Training Short On Site Course Quote

      This two-day course will enable the participant to plan the most efficient experiment or test which will result in a statistically defensible conclusion of the test objectives. It will show how properly designed tests are easily analyzed and prepared for presentation in a report or paper. Examples and exercises related to various NASA satellite programs will be included.

      Many companies are reporting significant savings and increased productivity from their engineering, process control and R&D professionals. These companies apply statistical methods and statistically-designed experiments to their critical manufacturing processes, product designs, and laboratory experiments. Multifactor experimentation will be shown as increasing efficiencies, improving product quality, and decreasing costs. This first course in experimental design will start you into statistical planning before you actually start taking data and will guide you to perform hands-on analysis of your results immediately after completing the last experimental run. You will learn how to design practical full factorial and fractional factorial experiments. You will learn how to systematically manipulate many variables simultaneously to discover the few major factors affecting performance and to develop a mathematical model of the actual instruments. You will perform statistical analysis using the modern statistical software called JMP from SAS Institute. At the end of this course, participants will be able to design experiments and analyze them on their own desktop computers.

      The students will receive instructor's workbook

    • Classic Design Of Experiments
    • in addition to a full set of course notes.

      Factorial Design for Choosing Input Values in Experimentation: Generating Informative Data for System Identification



      Dr. Manny Uy is a member of the Principal Professional Staff at The Johns Hopkins University Applied Physics Laboratory (JHU/APL). Previously, he was with General Electric Company, where he practiced Design of Experiments on many manufacturing processes and product development projects. He is currently working on space environmental monitors, reliability and failure analysis, and testing of modern instruments for Homeland Security. He earned a Ph.D. in physical chemistry from Case-Western Reserve University and was a postdoctoral fellow at Rice University and the Free University of Brussels. He has published over 150 papers and holds over 10 patents. At the JHU/APL, he has continued to teach courses in the Design and Analysis of Experiments and in Data Mining and Experimental Analysis using SAS/JMP.

      Contact this instructor (please mention course name in the subject line)

    What you will learn:

    • How to design full and fractional factorial experiments.
    • Gather data from hands-on experiments while simultaneously manipulating many variables.
    • Analyze statistical significant testing from hands-on exercises.
    • Acquire a working knowledge of the statistical software JMP.
    Course Outline:
    1. Survey of Statistical Concepts.
    2. Introduction to Design of Experiments.
    3. Designing Full and Fractional Factorials.
    4. Hands-on Exercise: Statapult Distance Experiment using full factorial.
    5. Data preparation and analysis of Experimental Data.
    6. Verification of Model: Collect data, analyze mean and standard deviation.
    7. Hands-on Experiment: One-Half Fractional Factorial, verify prediction.
    8. Hands-on Experiment: One-Fourth Fractional Factorial, verify prediction.
    9. Screening Experiments (Trebuchet).
    10. Advanced designs, Methods of Steepest Ascent, Central Composite Design.
    11. Some recent uses of DOE.
    12. Summary.


      Tuition for this two-day course is $1395 per person at one of our scheduled public courses. The students will receive instructor's workbook
    • Classic Design Of Experiments
    • in addition to a full set of course notes. Onsite pricing is available. Please call us at 410-956-8805 or send an email to

    Register Now Without Obligation