Udemy – Design and Analysis of Experiments (DoE) 2022-11
Udemy – Design and Analysis of Experiments (DoE) 2022-11 Downloadly IRSpace
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Design and Analysis of Experiments (DoE), The design of experiments is a systematic approach of studying the relationship between various inputs (factors) on the key output (response). This is the basics to the intermediate level course. In this course, we start with a basic understanding of the Design of Experiments (DoE) process by performing manual calculations on simpler processes. Because this course will be taken by students from various sectors, we have kept the case studies simpler by using examples such as coffee tasting and catapult. These simple examples will help student focus on the concepts rather than focusing on the specific case studies. This course assumes that you do not have any prior knowledge of the Design of Experiments, but you do have a basic understanding of statistics principles, such as ANOVA and Regression.
However, we will review these two topics (ANOVA and Regression) to provide adequate knowledge to interpret the DoE results. The course consists of video lectures, readings, and quizzes that help build upon each other so that by the end of the course, you have gained a firm grasp of the topics covered. We will start this course by understanding the definitions of common terms used in DoE. You will clearly understand factorial and partial factorial designs, as these will be explained by using an example of coffee tasting. In addition, we will also use the catapult experiment to understand the variation in processes.
What you’ll learn
- Fundamentals of the Design of Experiments (DoE) using simple to understand examples.
- Screening (Plackett-Burman), Modelling (Full, Fractional Factorial and Split Plot Designs) and Optimizing (Central Composite Design) Designs
- A quick refresher on ANOVA and Regression Analysis is also included to help you understand the results of analysis clearly.
- Clear understanding of Blocking, Analysis of Covariance, Replication, Confounding and Design Resolutions.
Who this course is for
- Quality Engineers
- Quality Managers
- All Engineers
- Performance Improvement Professionals
- Any one who wants to understand the behaviour of a complex process to achieve desired outcome
Specificatoin of Design and Analysis of Experiments (DoE)
- Publisher : Udemy
- Teacher : Sandeep Kumar
- Language : English
- Level : All Levels
- Number of Course : 42
- Duration : 4 hours and 40 minutes
Content of Design and Analysis of Experiments (DoE)
Requirements
- Basic understanding of statistics is preferred, however we will cover the concepts required to understand DoE and interpret the alaysis results.
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Quality: 720p
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File size
2.38 GB
