Retour à Response Surfaces, Mixtures, and Model Building
Avis et commentaires pour d'étudiants pour Response Surfaces, Mixtures, and Model Building par Université d'État de l'Arizona
49 évaluations
À propos du cours
Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response. This course provides design and optimization tools to answer that questions using the response surface framework. Other related topics include design and analysis of computer experiments, experiments with mixtures, and experimental strategies to reduce the effect of uncontrollable factors on unwanted variability in the response.
Meilleurs avis
AZ
9 oct. 2021
DoE is an essential but forgotten initial step in the experimental work! This course gives a very good start and breaking the ice for higher quality of experimental work.
DR
25 juil. 2020
It was a great experience for me to do the RSM model building an online course. I learned experimental designs for fitting response surfaces.
Filtrer par :
1 - 14 sur 14 Avis pour Response Surfaces, Mixtures, and Model Building
par Diego G
•26 nov. 2020
par Udayan G
•6 oct. 2020
par Dr. R R R
•26 juil. 2020
par Ashwin R
•15 août 2020
par Azd Z
•10 oct. 2021
par Giovany O
•29 déc. 2020
par Dr. M M
•2 août 2020
par Tarek a m
•21 avr. 2021
par Abhishek A
•23 sept. 2020
par John R N L
•24 déc. 2020
par ANKIT G
•16 nov. 2020
par Soroush S
•9 janv. 2022
par José M P C
•23 sept. 2020
par Elham L
•21 janv. 2021
Coursera Footer
© 2022 Coursera Inc. Tous droits réservés.
