Introduction to Design of Experiments

Dr. Jim Rutledge

Aim of Course:

This course will teach you how to use experiments to gain maximum knowledge at minimum cost. For processes of any kind that have measurable inputs and outputs, Design of Experiments (DOE) methods guide you in the optimum selection of inputs for experiments, and in the analysis of results. Full factorial as well as fractional factorial designs are covered - see the course outline below for additional details.

The DOE course was EXCELLENT! The material was presented well, the instructor was informed, engaging, and enthusiastic. I thoroughly enjoyed this learning experience and would take another course from statistics.com and Jim Rutledge. - P. Shewokis, Drexel University

Note: For topics such as response surface designs, conditional effects, restricted randomization and analysis-of-means, please see our Advanced DOE course.

Who Should Take This Course:

All six-sigma practitioners, scientists, engineers, and technicians who are interested in performing experiments that maximize process knowledge with a minimum amount of resources. Managers who are responsible for delivering products "on time" and "on budget" will also benefit from this course by learning what their employees should be doing. This course will stress the application of DOE rather than statistical theory. While design of experiments has been very successfully applied in research and development, that is not the only application. The techniques presented also apply to manufacturing, quality control, and even marketing.

For those enrolled in Professional Advancement Programs, this is a required or elective course in the following Programs:

• Biostatistics (controlled trials) - elective
• Engineering Statistics - required

Course Program:

The course is structured as follows

The Instructor:

Jim Rutledge, Ph.D., is currently the President of Data Vision, a company that performs statistical consulting and training. Dr. Rutledge has over fifteen years of teaching and consulting experience. He specializes in teaching powerful statistical tools to non-statisticians; he has instructed over 1000 scientists, engineers, managers, and college students. Previously, he served as an Assistant Professor at the United States Air Force Academy and has extensive research and consulting experience in healthcare issues. Dr. Rutledge was recently invited by the National Academy of Sciences to give a presentation on Design of Experiments to Biomedical Engineering Materials and Applications members. Dr. Rutledge earned a B.A. and M.S. in Mathematics from the University of Cincinnati and a Ph.D. in Biostatistics from the University of Colorado Health Sciences Center. Dr. Rutledge is an ASQ Certified Quality Engineer and served as President of the Colorado-Wyoming Chapter of the American Statistical Association.

Organization of the Course:

The course takes place over the internet, at statistics.com. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor. The course is scheduled to take place over 4 weeks, and typically requires 10-15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials and work through exercises. Discussion among participants is encouraged. The instructor will provide answers and comments.

Certificates and Grades:

You may be interested only in learning the material presented, and not be concerned with grades or certificates. Or you may be enrolled in a statistics.com Professional Advancement Program that requires demonstration of proficiency in the subject, in which case your work will be assessed for purposes of issuing a grade. Or you may require only a "Certificate of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's). As you begin the class, you will be asked to specify your category.

Credit:

This course offers continuing education units (CEU's). For those successfully completing the course (generally this means marks of 50% or better on the homework), 5.0 CEU's and a certificate will be issued by statistics.com, upon request.

Dates:

Feb. 20 - Mar. 20, 2009
Click here to be notified of future course offerings.

Participants gain access to the online materials on the first day of the course, and typically spend about 10-15 hours per week (at their convenience). You retain full access to course materials, including discussion board, for two weeks after the course closing date.

Level:

Introductory/Intermediate

Prerequisite:

The equivalent of Introduction to Statistics I: Inference for a Single Variable, and Introduction to Statistics II: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners). For additional information about course prerequisites, click here.

Course Text:

Understanding Industrial Designed Experiments by Schmidt et al should be ordered by calling Air Academy Press at 1-800-748-1277 (It is also available at Amazon.com). The text comes with software that will be used in the course. PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

None

Registration:

Register Online - $449
Register Online (academic) - $349 (you must be affiliated with a college, university or high school)

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Note: Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.