Design of Experiments (DOE) | Web Course

DOE Open Web Course, 4 sessions

Design of Experiments (DOE) is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using only the minimum of resources. The course is composed of lectures, demonstrations, and computer exercises in software MODDE® based on actual investigations. The training is split into four sessions. One home exercise per session is included, and it is expected that the course delegates work on them outside the session time. Please register via "Request a quote”.

Course Objective

On completion, participants will know how to:

  • Create efficient experimental designs to match the investigation objective.
  • Analyze experimental data using sound statistical principles
  • Use graphical and statistical tools for model interpretation
  • Communicate the results in graphical and statistical format
  • Use numerical and graphical optimization tools
  • Understand limitations and possibilities in complex applications
  • Create follow up experiments when applicable

Who Should Participate?

The open web course is intended for researchers, scientists, and engineers from all sectors of industry and academia. Typical applications include product development, process improvement, optimization, validation, and quality control. Prior knowledge of statistics is beneficial but not needed.

Item No.: 
UT-MC-2080
*Custom/bulk order quotes are provided within 72 hours of request.
Design of Experiments (DOE) | Web Course
Design of Experiments (DOE) | Web Course

DOE Open Web Course, 4 sessions

Design of Experiments (DOE) is a rational and cost-effective approach to practical experimentation that allows the effect of variables to be assessed using only the minimum of resources. The course is composed of lectures, demonstrations, and computer exercises in software MODDE® based on actual investigations. The training is split into four sessions. One home exercise per session is included, and it is expected that the course delegates work on them outside the session time. Please register via "Request a quote”.

Course Objective

On completion, participants will know how to:

  • Create efficient experimental designs to match the investigation objective.
  • Analyze experimental data using sound statistical principles
  • Use graphical and statistical tools for model interpretation
  • Communicate the results in graphical and statistical format
  • Use numerical and graphical optimization tools
  • Understand limitations and possibilities in complex applications
  • Create follow up experiments when applicable

Who Should Participate?

The open web course is intended for researchers, scientists, and engineers from all sectors of industry and academia. Typical applications include product development, process improvement, optimization, validation, and quality control. Prior knowledge of statistics is beneficial but not needed.

Item No.:
UT-MC-2080

Overview

Specifications

Selected Course Content

  • Understanding the DOE concept
  • Data modeling and model diagnostics
  • Create a solid base for decisions
  • Find the design space when applicable

Language Information

Seminars are given in the language stated. In-depth discussion, course material, and printed material are in English; hence knowledge of English is required.

Course Material and Software

The electronic course material (course slides and exercises) and the MODDE® training course license will be sent out by email two weeks before the course starts. Please install the MODDE® software onto the laptop that you be using to follow the open web training course. MODDE® needs Admin rights to be installed so please arrange this with your organization’s IT and allow time for the installation to be carried out before the course commences. Sartorius cannot install the software onto your laptop for you. For ease of visualization, we recommend that you have two monitors/screens per PC to follow the course and demos easily. However, this is not a requirement.

Cost and Conditions

The open web course fee is 1750€ per person (2025 price).
Cancellations received less than two weeks before the course will not be refunded. For courses cancelled more than two weeks before the course starts, Sartorius Stedim Data Analytics AB will retain 10% of the course fee to cover administrative costs, and the remaining amount will be refunded.
The registering company can substitute course participant(s) as long as Sartorius Stedim Data Analytics AB is notified before course commences.

Sartorius Stedim Data Analytics AB provides open web courses based on a specific number of registrants per session. Therefore, Sartorius Stedim Data Analytics AB reserves the right to cancel the course 14 days before the course start date if the number of registrants is below the minimum number needed. In the event of a cancellation, a full refund will be provided, along with a 10% discount for affected registrant(s) to enroll in the next available course.

Applications

  • Application
    • Cell Culture
    • Analytics

Features

  • Device/Instrument Compatibility
    • Ambr®
    • MODDE®
  • Display
    MODDE®

Product Information

  • Brand
    MODDE®