Arizona State University
Design of Experiments Specialization
13,685 enrolled
Arizona State University

Design of Experiments Specialization

Design, Develop and Improve Products and Processes. Be able to apply modern experimental techniques to improve existing products and processes and bring new products and processes to market faster

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Get in-depth knowledge of a subject

(325 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(325 reviews)

Beginner level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • Plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain valid objective conclusions.

  • Use response surface methods for system optimization as a follow-up to successful screening.

  • Use experimental design tools for computer experiments, both deterministic and stochastic computer models.

  • Use software tools to create custom designs based on optimal design methodology for situations where standard designs are not easily applicable.

What’s included

Shareable certificate

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Taught in English
29 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Arizona State University

Specialization - 4 course series

What you'll learn

  • By the end of this course, you will be able to:

  • Approach complex industrial and business research problems and address them through a rigorous, statistically sound experimental strategy

  • Use modern software to effectively plan experiments

  • Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers.

Skills you'll gain

Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Statistical Methods
Category: Research Design
Category: Experimentation
Category: Probability & Statistics
Category: Variance Analysis
Category: Statistical Visualization
Category: Descriptive Statistics
Category: Sample Size Determination
Category: Data Analysis
Category: Exploratory Data Analysis
Category: Quantitative Research
Category: Scientific Methods

What you'll learn

  • Conduct a factorial experiment in blocks and construct and analyze a fractional factorial design

  • Apply the factorial concept to experiments with several factors

  • Use the analysis of variance for factorial designs

  • Use the 2^k system of factorial designs

Skills you'll gain

Category: Statistical Analysis
Category: Research Design
Category: Variance Analysis
Category: Experimentation
Category: Sample Size Determination
Category: Statistical Methods

What you'll learn

  • Conduct experiments w/computer models and understand how least squares regression is used to build an empirical model from experimental design data

  • Understand the response surface methodology strategy to conduct experiments where system optimization is the objective

  • Recognize how the response surface approach can be used for experiments where the factors are the components of a mixture

  • Recognize where the objective of the experiment is to minimize the variability transmitted into the response from uncontrollable factors

Skills you'll gain

Category: Statistical Modeling
Category: Regression Analysis
Category: Statistical Analysis
Category: Mathematical Modeling
Category: Analysis
Category: Experimentation
Category: Process Analysis
Category: Statistical Software
Category: Statistical Hypothesis Testing

What you'll learn

  • Design and analyze experiments where some of the factors are random

  • Design and analyze experiments where there are nested factors or hard-to-change factors

  • Analyze experiments with covariates

  • Design and analyze experiments with nonnormal response distributions

Skills you'll gain

Category: Statistical Modeling
Category: Statistical Methods
Category: Regression Analysis
Category: Statistical Analysis
Category: Data Analysis Software
Category: Probability Distribution
Category: Probability & Statistics

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Douglas C. Montgomery
Arizona State University
4 Courses25,441 learners

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