Europe
Discovery Summit
Exploring Data | Inspiring Innovation
Prague | 21-23 March 2017
Training
Led by SAS Education instructors, these courses combine lectures, software demonstrations, question-and-answer sessions and hands-on computer workshops for an interactive learning experience. You can sign up for courses at a 20% discount when you register for the conference.
JMP® Software: Modern Screening Designs
Date/Time: Monday, 20 March, 9:00-17:00 – Tuesday, 21 March, 9:00-17:00
Location: SAS Czech Republic Office
Instructor: Di Michelson
Conference Attendee Price: €880 plus VAT
Course Description: This advanced course presents strategies and methods for designing experiments to screen many factors in an optimal study, as well as several specialized analytical tools that respect the limited information available in such experiments. This course is designed to help scientists and engineers choose an appropriate technique for their particular situation.
You will learn how to assess the complexity of the situation in terms of the number of factors and the number and nature of terms in the model as a guide to selecting a method to design the screening experiment and analyze the empirical evidence.
Laptops will be provided.
Learn how to:
- Recognize situations that benefit from a screening experiment.
- Make a fractional factorial design or Plackett-Burman design.
- Make an orthogonal or near-orthogonal array or a definitive screening design.
- Make a Bayesian D-optimal design or split-plot design with custom design.
- Identify situations where each of the screening designs might be most useful.
- Identify likely effects in the response using the effect screening emphasis and tools in the Fit Least Squares platform or the Screening platform.
- Select a model using the Stepwise platform with forward selection or All Possible Models under the heredity restriction.
Who Should Attend: Advanced JMP analysts who need to screen many factors through experimentation.
JMP® Software: Reliability Analysis for Non-Repairable Systems
Date/Time: Monday, 20 March, 9:00-17:00
Location: SAS Czech Republic Office
Instructor: Mark Bailey
Conference Attendee Price: €480 plus VAT
Course Description: This course is for anyone who needs to analyze data about how long an object (reliability) or person (survival) operates within acceptable parameters (time to event). The course is presented using manufacturing examples, but those interested in survival analysis or studying recidivism will also find the course useful.
Participants must bring their own laptops.
Learn how to:
- Distinguish unique characteristics of life data.
- Compute non-parametric (Kaplan-Meier product-limit) estimates of failure probability.
- Fit distribution models specific to life data.
- Estimate reliability or survival measures and hazard.
- Estimate survival in the presence of competing causes.
- Use parametric survival models to estimate effects of covariates or experimental factors.
- Design an accelerated life test.
Who Should Attend: Engineers, scientists, researchers, and analysts who perform reliability, survival or recidivism studies.
Cancellation Policy
SAS Education’s Guaranteed to Run Program: As part of our commitment to growing your SAS knowledge, we guarantee to run any course that has at least four registrations four weeks prior to the course start date.*
The SAS cancellation policy covers courses, conferences and certification exams organized by SAS. If you are unable to attend the event for which you registered, please inform SAS as soon as possible.
Fees are fully refundable if notification is received by email or phone (+ 420 604 743 128) at least 10 calendar days prior to the scheduled start date of an event; after that (nine calendar days or less), the full event fee will be charged.
Substitutions (name changes) are accepted at any time prior to the event, except for training package registrations which are not transferable. Transfers are accepted up to 48 hours before the event start date, and students are allowed one transfer per course registration. Students that are absent from class without notifying SAS by phone or email at least one day before class begins will be charged the full course price.
*SAS reserves the right to cancel or reschedule any course in case of force majeure. Should a course have to be canceled or rescheduled, we will endeavor to provide a written notification as soon as possible. If a course is canceled for any reason, SAS will return prepaid registration fees. SAS is not responsible for airline penalties related to the cancellation of SAS courses or events.
Training Venue
Any questions?
Jiří Mohout
jiri.mohout@sas.com
+ 420 604 743 128