This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Versuchsplanung
von
Über diesen Kurs
Was Sie lernen werden
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.
Kompetenzen, die Sie erwerben
- statistical Methods for Process and Product improvement
- design of experiments
- experiment design
- designing experiments
von

Arizona State University
Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.
Lehrplan - Was Sie in diesem Kurs lernen werden
Unit 1: Getting Started and Introduction to Design and Analysis of Experiments
Unit 2: Simple Comparative Experiments
Unit 3: Experiments with a Single Factor - The Analysis of Variance
Unit 4: Randomized Blocks, Latin Squares, and Related Designs
Bewertungen
- 5 stars79,32 %
- 4 stars15,08 %
- 3 stars2,23 %
- 2 stars1,11 %
- 1 star2,23 %
Top-Bewertungen von EXPERIMENTAL DESIGN BASICS
Such a simplified and amazing introduction to design of experiments.
This course was very practical and I thank Professor Montgomery for her excellent teaching. I also thank the Coursera team for providing this opportunity.
Very informative for understanding and grsping of concepts
The peer review assignment is daunting as you are completely at the mercy of your classmates who might leave proper feedback on what you actually did wrong. Apart from that, great class.
Über den Spezialisierung Versuchsplanung
Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. There is thorough coverage of modern data analysis techniques for experimental design, including software. Applications include electronics and semiconductors, automotive and aerospace, chemical and process industries, pharmaceutical and bio-pharm, medical devices, and many others.

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