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Volker Kraft
เข้าร่วมเมื่อ 12 พ.ย. 2011
Teaching Modern DOE (March 18th, 2021)
Teaching Modern DOE
Recruiting new hires already skilled in methods like design of experiments (DOE) is of the biggest challenges facing the chemical, biotech and pharmaceutical industries today. While structured approaches to data collection is - for many scientists and engineers - becoming increasingly vital, most institutions of higher education fail to teach the real-world skills their industry partners value most.
That knowledge gap has created a burden on job seekers who, despite having invested years in advanced study, must devote more time on the job to acquiring skills like DOE. Likewise it has also created a burden on companies hiring new graduates who require extensive training up-front. At JMP, our aim is to create a mutually beneficial bridge between academia and industry in the area of industrial statistics.
In this webinar, we will share free resources and demonstrate best practices in JMP that make teaching the computer-based design and analysis of experiments most effective. Learn how to better enable future engineers and scientists to better understand a system or process, to solve problems faster and to drive innovation.
Tune in to learn how to:
* Teach DOE concepts using an industry-leading toolset.
* Get access to free and engaging resources for teaching and learning industrial statistics.
* Explore our special offer for doctoral training in CDTs and similar programs.
Recruiting new hires already skilled in methods like design of experiments (DOE) is of the biggest challenges facing the chemical, biotech and pharmaceutical industries today. While structured approaches to data collection is - for many scientists and engineers - becoming increasingly vital, most institutions of higher education fail to teach the real-world skills their industry partners value most.
That knowledge gap has created a burden on job seekers who, despite having invested years in advanced study, must devote more time on the job to acquiring skills like DOE. Likewise it has also created a burden on companies hiring new graduates who require extensive training up-front. At JMP, our aim is to create a mutually beneficial bridge between academia and industry in the area of industrial statistics.
In this webinar, we will share free resources and demonstrate best practices in JMP that make teaching the computer-based design and analysis of experiments most effective. Learn how to better enable future engineers and scientists to better understand a system or process, to solve problems faster and to drive innovation.
Tune in to learn how to:
* Teach DOE concepts using an industry-leading toolset.
* Get access to free and engaging resources for teaching and learning industrial statistics.
* Explore our special offer for doctoral training in CDTs and similar programs.
มุมมอง: 2 113
วีดีโอ
JMP Academic Series (Jan 2021): Teaching Analytics in Chemistry
มุมมอง 4443 ปีที่แล้ว
This webinar demonstrates teaching tools and free resources commonly used within Chemistry and Chemical Engineering. An important topic will be Design of Experiments using classical, mixture, functional or flexible custom designs, and how to analyze and understand experimental data. In addition to multivariate methods like Partial Least Squares or Functional Data Analysis, see how to teach qual...
JMP Academic 09-2020: Teaching Design of Experiments
มุมมอง 15K4 ปีที่แล้ว
In this webinar we demonstrate JMP tools and resources to make teaching the design of experiments most effective. We will demonstrate teaching examples of how to run an experiment, including tools to create and evaluate experimental designs, as well as analysis tools for screening or optimization purposes. Instructors will learn about best practices and resources for teaching DOE, including ou...
JMP Academic 07-2020: Resources for Teaching Engineering Statistics: Online, In-Person, and Hybrid
มุมมอง 2144 ปีที่แล้ว
In this webinar, we will identify resources that you can use in your statistics and data analysis courses to help teach concepts, provide examples and instructional videos, to teach JMP software skills, and to support student learning. This first webinar in the four-part summer “Resources for Teaching” series will be a general overview of resources with application to a first course in statisti...
JMP Academic 03-2020: Resources for Teaching and Learning with JMP
มุมมอง 1284 ปีที่แล้ว
In this webinar we describe resources to help teach statistics and statistical concepts. We demonstrate built-in modules for teaching core statistical concepts, introduce calculators for showing how statistics are calculated, talk about sample data sets available within JMP, and talk about other tools for demonstrating, animating, and teaching statistical concepts.
JMP Academic: Better Teaching (and using) \nData Analytics for Materials Science (18 June 2019)
มุมมอง 3875 ปีที่แล้ว
Data analytics has become an integral part of university courses in materials science and manufacturing. In this field, students are required to develop a high statistical thinking and learn to use tools and technologies demanded by industry and market leaders. In this webinar we will show university instructors and students best practices to better teach and learn the best data analysis to eas...
JMP Academic Series: JMP Basics for Professors and Students (23 Okt 2018)
มุมมอง 9475 ปีที่แล้ว
This webinar is designed to serve as an initial introduction to JMP. It covers basic navigation, JMP menus and data tables, summarizing and graphing data, and resources for getting started.
JMP Academic Series: Teaching Engineering Statistics (22 Feb 2018)
มุมมอง 1726 ปีที่แล้ว
In the Teaching Engineering Statistics with JMP webinar we will show how to graph and analyze data in JMP, with an emphasis on tools commonly taught engineering and industrial statistics course, including control charts, measurement systems analysis and an introduction to designed experiments.
JMP Tutorial for Posters
มุมมอง 4776 ปีที่แล้ว
Getting started with JMP to analyse data and create stunning visuals for posters.
JMP Academic Series: Visualization and Graphics (28 Nov 2017)
มุมมอง 2556 ปีที่แล้ว
Overview of graphing in JMP using the Graph Builder. Topics include: using drop zones, graph types and controls, geographical mapping, graph customizations, and exporting graphics for publication or sharing on the web.
JMP Academic Series: Teaching Design of Experiments using JMP (14 Nov 2017)
มุมมอง 12K6 ปีที่แล้ว
In this webinar we demonstrate tools in JMP to make teaching the design of experiments most effective. We show classical and custom designs as well as modern and spezial purpose designs. Tips and resources are shared for teaching DOE. The JMP journal with all links can also be download in the JMP Academic Webinar Library at www.JMP.com/teach.
JMP Academic Series: JMP Basics for Professors and Students (2 Nov 2017)
มุมมอง 956 ปีที่แล้ว
The JMP Basics for Professors and Students webcast is designed to serve as an initial introduction to JMP. It covers basic navigation, JMP menus and data tables, summarizing and graphing data, and resources for getting started.
JMP Academic Series: Teaching Engineering Statistics (11 Oct 2017)
มุมมอง 2907 ปีที่แล้ว
In the Teaching Engineering Statistics with JMP webinar we will show how to graph and analyze data in JMP, with an emphasis on tools commonly taught engineering and industrial statistics course, including control charts, measurement systems analysis and an introduction to designed experiments.
JMP Academic Series: JMP Basics for Professors and Students (26 Sept 2017)
มุมมอง 3107 ปีที่แล้ว
The JMP Basics for Professors and Students webcast is designed to serve as an initial introduction to JMP. It covers basic navigation, JMP menus and data tables, summarizing and graphing data, and resources for getting started.
ONLINE TUTORIAL: Better Teaching of Engineering Statistics (June 2017)
มุมมอง 1907 ปีที่แล้ว
The successful future engineer will need strong analytical skills, practical ingenuity, creativity, good communication skills, business and management knowledge, leadership, high ethical standards, professionalism, dynamism, agility, resilience, flexibility, and the pursuit of lifelong learning. Achieving high quality requires a passion for, and dedication to, continuous learning and improvemen...
ONLINE TUTORIAL: Better Teaching of Business Statistics (June 2017)
มุมมอง 1587 ปีที่แล้ว
ONLINE TUTORIAL: Better Teaching of Business Statistics (June 2017)
JMP Academic Series: Teaching Design of Experiments using JMP (23 Feb 2017)
มุมมอง 20K7 ปีที่แล้ว
JMP Academic Series: Teaching Design of Experiments using JMP (23 Feb 2017)
Thank you sir for making this video.
Where do we get the demo files in the video? tks!
sir pls strip plot analysis video upload
how to determine learning rate and other parameters in JMP?
Hi Akhmad, good point. Please contact me at volker.kraft@JMP.com to discuss it. Thanks, Volker
Hallo every one This is my channel TH-cam about a chemical engennering simulation I hope you share and subscribe th-cam.com/channels/9DjBRxQCgbNESLkaf7r26w.html
Dear Dr Kraft. Greetings from Germany. When I calculate DOE in JMP I am often facing the Problem that I get (for example for a factor) a value with a lot of digits after the comma. How can I avoid that? I can not adjust these values in that accuracy in my test. When I did the design can I overwrite the values with the next possibles? (This happens when I do RSM Designs, were JMP calculates intermediate steps) Thanks for the answers.
Hi, you can change the displayed format and digits in the column settings (double-click the column header). Or you can change the values by removing digits or rounding values. In case you are concerned about how these changes effect your design, you can compare the design diagnostics between the new and your original design.
Volker Kraft Hi thanks, for the answer! Do you also have a recommendation for a similar problem: When we do a DOE we have to manufacture special parts for testing (we are in fine Mechanics Maschine building) for each test setting we need about 100 pcs. So we try to hit the calculated values in the DOE (mean value of the test sample) but that is not guaranteed because of the normal manufacturing deviation. So I would measure parts of every Plot (Split Plot Design / 4 hard to change factors) and replace the measured mean value with the calculated values in the DOE. Is that a good way for getting the desired output (the Modell) or do you recommend a different approach? Thanks again.
TheWechris If it is hard or even impossible to find samples with the right spec required by your design, you can consider covariate factors in Custom Design. JMP can also select the best subset if you have samples to choose from. More at JMP.com/help or email volker.kraft@JMP.com .
Volker Kraft thanks again. Seems I need more training in this matters with JMP. Now I have some more Ideas which could be done to solve the problem. Have a good day and stay save! 👍
thank you for uploading the webinar i
Hi. Where to get the equation upon which your model runs or optimizes values?
On the top red triangle (context-menu) in Fit Model you find "Show Prediction Expression". However, most users directly look at the Profiler to understand how the model works and to find the best settings.
Thank you very much for this initiative. I really needed this explanation.
hi .I have results (surface responses) obtained by JMP. I worked about the extraction of polyphenols with antibacterial activity of pistacia lentiscus. I did not understand how to discuss my results.please can you help me???
very good. helped me so much. in "design generation", 9:06 min, what means "group runs into ramdom blocks of size"?
Thank you for this opportunity