Course Catalog

Experimental Design for Productivity and Quality in Research & Development

Learn how to significantly improve your R&D quality and efficiency and how to match appropriate experimental designs to real-world problems with two expert instructors. Basic concepts of experimental design will be covered, as well as strengths and limitations of popular experimental design techniques; the applicability of common designs; and determining which experimental designs are appropriate or inappropriate for particular situations.

Course Details

Key Topics

  • Basic concepts of experimental design
  • Strengths and limitations of popular experimental design techniques
  • Applicability of common designs
  • Determining which experimental designs are appropriate or inappropriate for particular situations

Information

Learn how to significantly improve your R&D quality and efficiency and how to match appropriate experimental designs to real-world problems with two expert instructors. Basic concepts of experimental design will be covered, as well as strengths and limitations of popular experimental design techniques; the applicability of common designs; and determining which experimental designs are appropriate or inappropriate for particular situations.

Who Should Attend

Chemical scientists, engineers, R&D managers, and others who need to learn proven methods for designing quality into products and processes. The course assumes no previous knowledge of statistics and is aimed at both beginning and experienced R&D workers.

Benefits

  • Get solutions to your experimental design problems from seasoned experts.
  • Learn how to significantly improve R&D quality and efficiency.
  • Become more efficient in performing experiments by learning how to save resources by eliminating unnecessary experimentation.
  • Learn how to match appropriate experimental designs to real-world problems.
  • Gain an improved understanding of statistical process control and statistical quality control.
  • Understand statistical terminology and be able to communicate more easily with statisticians.
  • Develop a firm foundation for understanding advanced design techniques.
  • Receive a brief introduction to Taguchi methods.
  • Learn about commercial software packages for data treatment.
  • Improve your skills in communicating research strategies to co-workers.

Agenda

  • Linear Models
  • The importance of n, p, and f<
  • Regression Analysis
  • Residuals
  • Degrees of Freedom
  • Basic Design Concepts
  • Looking for Pure Error
  • Calibration
  • Coding
  • Factorial-Type Designs
  • Yates Algorithm
  • Screening Designs
  • Plackett-Burman Designs
  • Hadamard Designs
  • Taguchi Designs
  • Response Surface Designs
  • Central Composite Designs
  • Box-Behnken Designs
  • Mixture Designs
  • Comparing Different Designs
  • Choice of Model
  • Matrix Least Squares Solution
  • Replication and Pure Error
  • Sums of Squares
  • The Rosetta Stone of Statistics
  • Looking for Lack of Fit
  • Orthogonal Designs
  • Classical Data Analysis
  • Fractional Factorial Designs
  • Blocking
  • Multiple Response
  • Scheffe Mixture Model
  • Inercept Mixture Model
  • Analysis of Variance (ANOVA)
  • Correlation Coefficient
  • Confidence Intervals and Bands

Course Locations

Date

February 22 - 24, 2017

Check-in opens at 7:30 a.m. on the first day of the course.

Course runs from 8:30 a.m. to 5:00 p.m. each day.

Register Online Register Via Mail

Venue

Courtyard Orlando Lake Buena Vista in the Marriott Village
8623 Vineland Avenue,

Orlando, FL 32821


Pricing
  Member Non-Member
Advanced $1,995 (ends January 22) $2,195 (ends January 22)
Standard $2,395 $2,595

The course fee includes a course binder and a continental breakfast each day.

Five for Four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. Note: This discount is only available if you register by fax, mail or phone and mention this discount. This discount may not be combined with any other offer.

Date

May 8 - 10, 2017

Check-in opens at 7:30 a.m. on the first day of the course.

Course runs from 8:30 a.m. to 5:00 p.m. each day.

Register Online Register Via Mail

Venue

TBA

Boston, MA

Orlando, FL 3282


Pricing
  Member Non-Member
Advanced $1,995 (ends April 8) $2,195 (ends April 8)
Standard $2,395 $2,595

The course fee includes a course binder and a continental breakfast each day.

Five for Four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. Note: This discount is only available if you register by fax, mail or phone and mention this discount. This discount may not be combined with any other offer.

Date

August 19 - 21, 2017

Check-in opens at 7:30 a.m. on the first day of the course.

Course runs from 8:30 a.m. to 5:00 p.m. each day.

Register Online Register Via Mail

Venue

TBA

Washington, DC 20036


Pricing
  Member Non-Member
Advanced $1,995 (ends July 19) $2,195 (ends July 19)
Standard $2,395 $2,595

The course fee includes a course binder and a continental breakfast each day.

Five for Four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. Note: This discount is only available if you register by fax, mail or phone and mention this discount. This discount may not be combined with any other offer.

Date

November 6 - 8, 2017

Check-in opens at 7:30 a.m. on the first day of the course.

Course runs from 8:30 a.m. to 5:00 p.m. each day.

Register Online Register Via Mail

Venue

TBA

San Diego, CA 92101


Pricing
  Member Non-Member
Advanced $1,995 (ends October 6) $2,195 (ends October 6)
Standard $2,395 $2,595

The course fee includes a course binder and a continental breakfast each day.

Five for Four! Register five people for one course, one person for five courses, or any combination in between and your fifth registration is free. Note: This discount is only available if you register by fax, mail or phone and mention this discount. This discount may not be combined with any other offer.

About the Instructors

  • Stephen L. Morgan

    is a Professor in the Department of Chemistry & Biochemistry at the University of South Carolina (Columbia, SC). He has has coauthored 120 papers and four books, including Experimental Design: A Chemometric Approach (1993) and Sequential Simplex Optimization for Quality & Productivity in Research, Development, and Manufacturing (1991).

  • Stanley N. Deming

    is Professor Emeritus of Chemistry at the University of Houston, Houston, Texas.