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.
Este curso forma parte de Programa especializado: Diseño experimental
2929 ya inscrito
ofrecido por
Programa especializado: Diseño experimentalUniversidad del Estado de ArizonaAcerca de este Curso
4857 vistas recientes
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel intermedio
Aprox. 13 horas para completar
Inglés (English)
SubtÃtulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
¿PodrÃa tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosQué aprenderás
Conduct experiments w/computer models and understand how least squares regression is used to build an empirical model from experimental design data
Understand the response surface methodology strategy to conduct experiments where system optimization is the objective
Recognize how the response surface approach can be used for experiments where the factors are the components of a mixture
Recognize where the objective of the experiment is to minimize the variability transmitted into the response from uncontrollable factors
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel intermedio
Aprox. 13 horas para completar
Inglés (English)
SubtÃtulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
¿PodrÃa tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Universidad del Estado de Arizona
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.
Programa - Qué aprenderás en este curso
5 horas para completar
Unit 1: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs
5 horas para completar
12 videos (Total 125 minutos), 4 lecturas, 3 cuestionarios
2 horas para completar
Unit 2: Regression Models
2 horas para completar
7 videos (Total 98 minutos), 1 lectura, 2 cuestionarios
4 horas para completar
Unit 3: Response Surface Methods and Designs
4 horas para completar
14 videos (Total 178 minutos), 1 lectura, 2 cuestionarios
2 horas para completar
Unit 4: Robust Parameter Design and Process Robustness Studies
2 horas para completar
4 videos (Total 39 minutos), 1 lectura, 2 cuestionarios
Reseñas
- 5 stars79,59Â %
- 4 stars8,16Â %
- 3 stars10,20Â %
- 2 stars2,04Â %
Principales reseñas sobre RESPONSE SURFACES, MIXTURES, AND MODEL BUILDING
por AZ9 de oct. de 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.
por DR25 de jul. de 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.
Acerca de Programa especializado: Diseño experimental
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Cuál es la polÃtica de reembolsos?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
