February 15, 2017 | Oslo, Norway
In this 1-day overview course, data analysts handling batch data will learn how to analyse and draw valid conclusions from their data. Even though individual batches use the same recipe, they might not follow the same path to the end product. This leads to data that are not aligned and of varying length. The course will explain the theory behind the new batch module available for The Unscrambler®X, and the course participants will learn how to analyze their batch data using real-world examples.
During the Introduction to batch modeling workshop, you will learn about:
The workshop will be a combination of theory and practical real-world examples.
Frank Westad received his M.Sc in Chemistry and Data analysis in 1988, and completed his Ph.D. thesis “Relevance and parsimony in multivariate modeling” in 2000 with the Norwegian University of Science and Technology. His working experience over the years includes positions as Research Scientist with SINTEF, Consultant with IDT GmbH (Germany), Application Specialist with CAMO and Senior Research Scientist at the Norwegian Food Research Institute (MATFORSK) and GE Healthcare. His experience also includes numerous scientific papers, presentations at international conferences and teaching statistics, chemometrics and multivariate methods for the industry. After being a consultant for CAMO the past two years, he now holds the position of Chief Scientific Officer in the company.
The course fees includes lunch, tea / coffee, course material and 30-days trial installation of The Unscrambler. Participants are required to bring their own Laptop, organize transport to / from training venue and accommodation at their own cost. Deadline for registrations: 2 weeks before the course start.
Payments: 30 days net from date of invoice.
Cancellation: Cancellations up to 1 week prior the course start date, will be refunded with 50% of the registration fee, after this limit will not be refunded.
Substitution: The course participants may be substituted or join a later training provided that CAMO is notified.