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Course curriculum

(Course in progress - new lectures added weekly)

    1. Welcome!

    2. What is DOE? And how can I use it to make better pizza!

    3. Quiz 1

    4. Assignment 1

    5. DOE Vs. OFAT.

      FREE PREVIEW
    6. Assignment 2

    7. Steps to apply DOE

    8. Introduction to the P-Value

    9. What is P-Value ?

    10. Assignment 3

    11. Quiz 2

      FREE PREVIEW
    12. Summery for Section one

    1. Welcome to Section 2

    2. Defining the factors and the output.

    3. Exercise

    4. Assignment 1

    5. Introduction to the DOE Designs and factor levels

    6. Quiz 1

    7. Quiz 2

    8. Assignment 2

    9. The concept of the full factorial design

    10. Assignment 3

    11. Example (Replication and Center point method)

    12. Quiz 3

    13. Assignment 4 (Bonus)

    14. Summery for section 2

    1. Th Fractional factorial design

    2. The concept of the Fractional factorial design

    3. Quiz 1

    4. Assignment 1

    5. Quiz 2

    6. Fractional factorial design (The Resolution)

    7. Quiz 3

    8. Quiz 4

    9. The trade-off table

    10. Assignment 2

    11. Practical example for the resolution

    12. Quiz 5

    13. Exercise 2

    14. Assignment 3

    1. Optimization methods (Response Surface method) (The Section is in Progress)

    2. Introduction to the response surface methodology (RSM)

      FREE PREVIEW
    3. Central Composite Design (CCD)

    4. Quiz 1

    5. Assignment 1

    6. Practical example using CCD

    7. Randomizing & Blocking

    8. Assignment 2

    9. Section 5 is coming soon...

    1. Case Study for Minitab

    2. Download Minitab

    3. Minitab (Part 1)

    4. Minitab (Part 2)

    5. Minitab (Part 3)

About this course

  • $119.99
  • 54 lessons
  • lifetime access
  • Money-back guarantee (30 days)
  • quizzes, assignments and a hand-on project

Design of experiments course

course description

What is Design of experiments?


The design of experiments (DoE) includes all statistical procedures that should be applied before the start of the experiment. These include: 

- Determination of the minimum number of experiments required to comply with precision specifications 

- The chosen Values for the different factors  

- Take into consideration all the other  

- using different designs, like Full factorial plans, fractional plans, and the response surface method 

- Sequential experimental planning and evaluation (sequential analysis); here data acquisition and evaluation alternate until a predetermined accuracy is reached 

 

Since experiments require resources (staff, time, equipment, etc. ), the person responsible for the experiment finds himself in a conflict between the accuracy and reliability of his expected results on the one hand, and the necessary effort on the other. Unlike one factor at a time, with the statistical design of experiments, the interaction between influencing factors (= independent variables) and target variables (= dependent variables) is determined as precisely as possible with as few experiments as. This by using different doe designs or design tools, like the full factorial plan, fractional factorial plan, central composite design, response surface method, and a lot of other experiments.  

An important part of the statistical design of the experiment is the determination of the experimental scope in relation to precision specifications such as the risks of statistical tests. Also to determine the levels of the factors to get precise results.  

 

Purpose and benefit of applying DOE


The intuitive procedures in experiments, such as changing one factor at a time (one factor at a time) or according to the principle of trial and error (trial and error), only produce an optimal test result by chance. The individual effects and interactions of influencing factors are not recognized. 

In contrast, the statistical design of experiments is a method for the systematic planning and statistical evaluation of experiments. The functional relationship between influencing parameters and the results is determined and mathematically described with little effort. The resources required for this, such as personnel, time, and costs, are known and quantifiable before the tests are carried out. 

By using the Randomization and Blocking methods, we will be able to reduce the effect of the other factors, that affect our experiments, but we can’t control them.

 

The Statistical methods and computer software 


To get a robust experimental design we use a lot of statical methods like analysis of variance, ANOVA, regression models or equations. These methods are precise and help us to understand the process that we examine and support the examiner with analyzing the data. 

To conduct and analyze the data, special software is available to make it easier for statistically less experienced users to carry out planning and evaluation, but this is done at the expense of flexibility. Suitable programs include Design-Expert, GlobalOptimize, Modde, and STAVEX; broader tools with special DoE modules include Cornerstone, JMP, Minitab, STATISTICA, or Visual-XSelIn addition, various simulation packages often contain specially tailored programs or modules for statistical design of experiments. 

Earn a Certificate

and prove your skills

Earn a certificate in Design of experiments (DOE) and prove your accomplishments. A certificate increases your chances of getting an interview and landing a job offer (actual layout and content of certificate may vary )
DOE design of experiments certificate

Skills you will gain in the course

  • All the steps to apply a doe method.

  • How to choose the suitable factors for doe, and what the factor levels are.

  • The different doe designs (full factorial design, fractional factorial design, center point method and Central Composite Designs (CCD))

  • How to calculate the effect of the factors by using simple mathematical equations

  • Effect diagram, regression equation, alias structure.

  • What response surface method is, and how we use it to optimize a process.

  • How to carry out an experiment and what randomization and blocking are.

  • Some of the statistical basics, for example what P-Value is.

  • Using Program Minitab (Appling what we learned on a project from real life).

Who joins this course?

  • Engineers and project managers

    Engineers and project managers who want to optimize processes or products (All Engineering fields).

  • Researchers and scientists

    Chemists, physicists and researchers in the scientific field who want to plan and evaluate their experiments in a structured way

  • Companies and institutions

    Companies looking to train their employees to achieve the maximum efficiency of their processes and products

  • Students and PhD candidates

    Students who want to accomplish their projects or write their thesis and want to design the experiments according to the highest academic and industry standards

  • Graduates and job seekers

    Fresh graduates who want to improve their industry knowledge and add a verifiable certificate to their CV to prove their skills

  • Professors, schools and teachers

    Professors and teachers who want to refer their students to a reliable resource to help them design and evaluate their research

Instructor(s)

Paul Bradley

Presentation and delivery

Paul is a versatile UK-based voice actor with over 10 years of experience. Paul specializes in online learning, e-learning, documentaries, and narration. Professional and approachable, Paul delivers in an authoritative yet friendly style. He makes sure that you get the information delivered in the right tone, rhythm, and emotion so that your learning experience becomes exciting and passionate

P. Winter

Senior Instructor - Project Management and DoE

Course Author and online instructor. Senior project manager in the automotive industry with expertise in six sigma and design of experiments. MSc. from Ilmenau University of Technology (Technische Universität Ilmenau) in Thuringia, Germany.

Pricing options

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FAQ

  • Is there a free trial period or a money-back guarantee?

    we offer a 30-day money-back guarantee period in which you can view and engage with all the course material. If you did not love the course for any reason, we will return 100% of the paid price. If you issue the refund after you completed the course, we will refund 50% of the paid price and the course certificate will be revoked.

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    Yes, you can buy a bulk license with one custom order. Just email us at info@excedify.com with the required number of users and the course of interest. We will take care of the bulk enrollment and account setup. We offer company communities and progress reporting for our B2B customers.