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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
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.
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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I
Walter David Bruce
01/13/2018
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.
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283-What Every Engineer Should Know About the Design and Analysis of Engineering Experiments I
Daniel Nord
10/23/2017
Verified Buyer
Generally good. Could have had more user friendly explanation of symbols and nomenclature.
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Price: $112.50
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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 states.
  • Ohio rules allow only 6-hours of unsupervised online courses such as this course per license renewal period

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