Advanced Design of Experiments

Dr. Thomas P. Ryan

Aim of Course:

This course moves beyond the basic Design of Experiments techniques to cover some special but important topics, including some recent advances. A variety of response surface designs will be covered: single vs. sequential designs, space-filling designs, Draper-Lin designs, and Hoke, hybrid and other small designs. The course will cover conditional effects and how to deal with them, as well as Analysis of Means (ANOM). You'll learn when standard designs won't work, and what to do in those cases.

Who Should Take This Course:

Engineers, industrial statisticians, quality control and six-sigma statisticians, anyone who designs experiments and needs to know the latest techniques for gaining maximum information at minimum cost.

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

• Engineering Statistics - elective

Course Program:

The course is structured as follows

The Instructor:

Thomas P. Ryan is the author of Modern Engineering Statistics, Modern Experimental Design, Modern Regression Methods and Statistical Methods for Quality Improvement, all from Wiley, plus numerous papers in peer-reviewed journals. He is an elected Fellow of the American Statistical Association, American Society for Quality, and Royal Statistical Society, and has been listed in Marquis Who's Who in America. He served on the Editorial Review Board of the Journal of Quality Technology from 1990 through 2006 and was the Book Review Editor of that journal from 2003 through 2006.

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:

Apr. 18 - May. 16, 2008
Apr. 10 - May. 8, 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:

Intermediate/Advanced

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). Participants should be familiar with basic design of experiments (DOE), such as that covered in an introductory course on the subject, such as statistics.com's Introduction to Design of Experiments course.

Course Text:

Modern Experimental Design by Thomas P. Ryan, available from Wiley. This text can be ordered directly from Wiley by clicking on the previous link. Wiley usually offers a 15% discount to students at statistics.com who order using the previous link.

Software:

Participants should have access to at least one of the following: Minitab, Design-Expert or JMP, as each has some specific capabilities that will be useful for the course. For information on obtaining software for use during this course click here.

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.