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Discovery Summit 2010. Exploring data. Inspiring innovation. SAS World Headquarters, Cary NC, September 13-16.

Beginner JMP® Scripting Workshop

Monday, Sept. 13
9:00 a.m. – 12:30 p.m.
Instructor – Paul Marovich
Duration: 0.5 days

Audience: This course is for anyone familiar with JMP who wants an introduction to the JMP Scripting Language (JSL) and an opportunity to script simple tasks.

Course Description: This course focuses on using the JSL to automate routine procedures, extend or create new procedures and customize reports. The course is an introduction to JSL. It gives students the basic tools for extending JMP functionality to their own business or research questions.

Prerequisites: Before attending this course, it is recommended you complete the JMP Software: Data Exploration course or have equivalent experience. No computer programming experience is required.

Software Addressed: This course addresses the following software product(s): JMP 9.

Advanced JMP® Scripting Panel Discussion

Monday, Sept. 13
1:30 – 5:00 p.m.
Instructor – Wayne Levin
Duration: 0.5 days

Audience: This course is for anyone familiar with JMP who wants to advance their JMP Scripting Language (JSL) skills.

Course Description: Expand your insights into the JMP Scripting Language!  A panel of experienced JMP scripters will discuss specific JSL applications, including accessing data from a database via JSL as well as revealing how JMP handles expressions and other areas necessary to harness JSL's full abstraction capabilities. These insights are best understood through live demonstration. Attendees will be encouraged to ask questions of the panel and a moderator will guide the interactive dialogue. This session will be a valuable forum for anyone who wishes to advance their application of JSL.

Prerequisites: Before attending this course, it is recommended you complete the JMP Software: Introduction to the JMP Scripting Language course or have equivalent experience.

Software Addressed: This course addresses the following software product(s): JMP 9.

JMP® Software: Reliability Analysis

Monday, Sept. 13
9:00 a.m. – 12:30 p.m.
Instructor – Mark Bailey
Duration: 0.5 days

Audience: This course is for engineers, scientists, and analysts who perform reliability or survival studies.

Course Description: This course focuses on analyzing data about how long an object (reliability) or person (survival) operates within acceptable parameters, characterizes the time to such an event and tests hypotheses about effects on these times. The course is presented using manufacturing examples, but those interested in survival analysis will also find the course useful.

Prerequisites: Before attending this course, it is recommended you complete the JMP Software: Data Exploration course or have equivalent experience.

Software Addressed: This course addresses the following software product(s): JMP 9.

What’s New in JMP® 9

Friday, Sept. 17
9:00 a.m. – 12:30 p.m.
Instructor – Paul Marovich
Duration: 0.5 days

Audience: This course is for anyone who wants an introduction to the new features of JMP 9.

Course Description: This course will introduce you to some of the exciting new features of JMP 9:

  • The new Windows environment
  • Improvements to existing platforms
  • Two new platforms: Degradation and Neural
  • JMP add-in for Excel
  • JMP to R interface

Software Addressed: This course addresses the following software product(s): JMP 9.

Using SAS® Simulation Studio for JMP®

Friday, Sept. 17
1:30 – 5:00 p.m.
Instructor – Heath Rushing
Duration: 0.5 days

Audience: This course is for anyone familiar with JMP who wants an introduction to discrete-event modeling methods using SAS Simulation Studio for JMP.

Course Description: This course will focus on building discrete-event simulations using SAS Simulation Studio for JMP and conducting statistical analyses of results in JMP 9. Many real-world systems are composed of not only extremely complicated and intricate mathematical and logical relationships, but also a significant random component. For these systems, you simply might not be able to derive an analytical model. Instead, you can build a computer simulation model of the system and numerically generate data that can foster a better understanding of the behavior of the real-world system. This course will teach you how to build such a model, design your experiments and analyze your results.

Software Addressed: This course addresses the following software product(s): SAS Simulation Studio for JMP and JMP 9.


Design of Experiments for Measurement Systems Analysis (MSA)

Friday, Sept. 17
9:00 a.m. – 5:00 p.m.
Instructor – Di Michelson
Duration: 1.0 days

Audience: This course is for engineers, scientists and analysts who conduct MSAs.

Course Description: Prior to conducting designed experiments for product/process development, it is essential to identify the components of variation in your measurement system. This practice ensures the integrity of data used for analysis and is commonly referred to as MSA.  This course focuses specifically on using concepts from Design of Experiments (DOE) to examine the sensitivity, accuracy, repeatability and reproducibility of a gage system.  

Software Addressed: This course addresses the following software product(s): JMP 9.