283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

By: O. Geoffrey Okogbaa, Ph.D., PE

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Course Objective

This continuing education course is written specifically for professional engineers with the objective of relating to and enhancing the practice of engineering.

Course Description

283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Design of experiment is an activity that every Engineer should take very seriously. Engineers are called upon every day to make decisions regarding programs, processes and systems that have significant implications on the safety and well-being of society, be they chemical processes, the environment, infrastructure, machinery and equipment, and others. And while Engineers are known for sound and fact based judgment, those laudable qualities and characteristics may not be enough and may not serve them well in certain circumstances. This is especially true when they are called upon to make decisions regarding variables and factors whose underlying distributions are stochastic and thus have uncertain, albeit questionable, predictability. Handling these situations requires an understanding of the formal schemes and structures necessary to deal with variability, bias, and randomness.

This is the first of a two-course sequence in this subject area. As the prerequisite to the second course, it provides the Engineer with the rudimentary, but necessary, toolkit needed to plan, design and analyze basic engineering experiments and to make recommendations about design and operational decisions. It sets the stage for the second course, where more robust and higher level designs are explored, including Factorial designs, Fractional designs, Nested designs, Confounding schemes and Regression Analysis. The second course also addresses a fundamental problem of design, namely cost and resource utilization, and also the all important issue of missing values. While the two courses are not strictly about mathematics and statistics, they do utilize those subject matters to further elucidate how to plan, design, and analyze engineering experiments. Some of the areas covered in this course include:

The Role of Experiments in the Engineering Design Process
The Role of Statistics and Probability in Engineering Design
Purpose and Nature of Planned Experiments
Important Issues in Planned Experiments
The Effects of Changes in the Independent Variables
The Effect of Noise in An Experiment
Restrictions on Randomization
Single Factor Experiments including Model Analysis
Randomized Block Designs
Latin and Other Designs
Incomplete Block Designs

Questions about this course? Email the Author: okogbaa@aol.com

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(3.6) 8 Reviews

Review of: What Every Engineer Should Know About the Design and Analysis of Engineering Experiments

Michael Dicker

11/08/2021

Verified Buyer

238 (What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I) - good course on basics of DOE. Perhaps some amplification of Latin square Design using real case as opposed to hypothetical scenario would be useful. Thank you.

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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Richard W. Job

07/07/2020

Multiple issues: The text on p-25 says Figure illustrates---; there is no Figure 8 , it is Figure 9. Tables 7 and 8 have the names reversed. Exan question 5 states "testing ca serve---", . . . You are splitting hairs. Exam question 7 statement is . . . Exam question 14c you say the answer is . . . Exam question 20, I will simply say the text in the course and the question as asked and answers leave me confused. Exam question 26 the example left me confuses in that it is a 5X5 square experiment when in the text you specifically say the Latin Square design is a 4X4. Exam question 28 is a symatics issue in that in the text on p 28 you call the test an F ratio rather than the F test which it is. I assumed it was not the F distribution.

Portions of the reviewers comments have been removed because they discuss the answers to test questions.

1 of 1 customers found this helpful.

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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Engineer from Greenville

12/31/2019

Verified Buyer

Good post graduate course. After attempting this course numerous times I capitulate in failure to understand or successfully respond to tricky questions developed from superfluous phraseology and equations. It yields a minimum to any practical knowledge.

1 of 1 customers found this helpful.

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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Paul B Jordan

12/31/2018

Verified Buyer

good learning and easy to use

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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Steven B Kushnick, PE

07/17/2018

I'm sorry, but I found this course to be more of a handbook of statistics rather than instruction about the design and analysis of engineering experiments. The course assumes that the reader is well versed in statistics, and thus refers to variables that are not defined in the text, and statistical concepts that are not explained in the text. If you don't already know the course material, then learning the material from this course is difficult. I think that this course would be valuable to people with Statistical Process Control training, or with advanced statistical classroom learning. Such people will appreciate the handbook-like organization of the text, and will likely refer to the text in their work for years to come. But for those who are interested in the mechanics of designing and analyzing more effective experiments on engineering systems, I would suggest picking a different course.

4 of 4 customers found this helpful.

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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Walter David Bruce

01/14/2018

Verified Buyer

This was a good, thorough course. One suggestion for improvement would be to add a discussion of the use of Minitab or other software in the use of ANOVA and factorial experiment design.

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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Walter David Bruce

01/05/2018

Verified Buyer

Course 283- What Every Engineer Should Know About the Design and Analysis of Engineering Experiments 1 is a good course; however, it needs improvement. Addition of a table of nomenclature and additional solved problems that include numerical values would be helpful.

1 of 1 customers found this helpful.

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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I

Daniel Nord

10/24/2017

Verified Buyer

Generally good. Could have had more user friendly explanation of symbols and nomenclature.

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Course Code: 100262-03

Course PDH Hours: 5

Engineering Course Approvals

This course is accepted for engineering continuing education credit in all US states, territories, the District of Columbia, and Canadian provinces.
Ohio rules allow only 6-hours of unsupervised online courses such as this course per license renewal period
Kansas rules allow only 5-hours of self-study courses such as this course per license renewal period

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