Online Course – Certified Professional Internship in Experimental Design – University of California, Irvine, Arizona State University

Design, develop, and improve products and processes. Learn to apply modern experimental techniques to improve existing products and processes and accelerate the launch of new products and processes to the market.

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קורס אונליין - התמחות מקצועית מוסמכת בעיצוב ניסויים - אוניברסיטת קליפורניה

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Factorial and partial experimental designs
  • Designs for filtering many factors
  • Designs for optimizing experiments
  • Designs for complex experiments
  • Modern data analysis techniques for experimental design
  • Applying the experimental design methodology in different work environments

What you will learn in the course

Courses for which the course is suitable

  • Experimental Engineer
  • Data Analyst
  • Engineering Project Manager
  • Data Scientist
  • Quality Engineer
  • Pharmaceutical researcher
  • Mechanical engineer in the automotive field
  • Electronics Engineer
  • Medical Product Development Manager
  • Industrial Process Specialist

Internship – Series of 4 courses

Learn modern experimental strategy, including:

  • Factorial and partial experimental designs
  • Designs for filtering many factors
  • Designs for optimizing experiments
  • Designs for complex experiments

There is comprehensive coverage of modern data analysis techniques for experimental design, including software. Applications include areas such as:

  • Electronics and semiconductors
  • Automotive and Aerospace
  • Chemistry and pharmaceutical industries
  • Pharmaceuticals and Biopharmaceuticals
  • Medical devices

Dr. Montgomery’s internship summary

Participants will undertake an applied learning project, typically based on their work environments, and will be able to use this to effectively demonstrate the application of the experimental design methodology. The course structure and the step-by-step process explained in the course are designed to ensure success for participants.

Details of the courses that make up the specialization

Fundamentals of Experimental Design

Course 1

12 hours

4.7 (275 ratings)

Course Details

What you’ll learn

  • Approach complex problems in industrial and business research and solve them using a scientific experimental strategy
  • Design experiments efficiently with modern software
  • Analyze the data obtained from an experiment and communicate the results effectively to decision makers

Factorial and fractional designs

Course 2

11 hours

4.7 (73 ratings)

Course Details

What you’ll learn

  • Conducting a factorial experiment in blocks and constructing and processing a fractional factorial design
  • Apply the factorial idea to experiments with several factors
  • Use analysis of variance for factorial designs
  • Use a 2^k system of factorial designs

Reactive surfaces, mixtures and model building

Course 3

13 hours

4.7 (64 ratings)

Course Details

What you’ll learn

  • Conduct experiments with computational models and understand how the least squares equation is used to build an empirical model from experimental design data.
  • Understand the reactive surface methodology strategy to conduct experiments where system optimization is the goal
  • Recognize how the response surface approach can be used for experiments where the factors are the components of mixtures
  • Understand where the goal of the experiment is to reduce the variations introduced into the response from uncontrollable factors

Random models, nested designs, and fractions

Course 4

9 hours

4.6 (31 ratings)

Course Details

What you’ll learn

  • Design and analyze experiments in which some of the factors are random
  • Design and analyze experiments that have nested factors or factors that are difficult to change
  • Analyze experiments with associated variables
  • Design and analyze experiments with non-normal response distributions

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