ProSensus is offering a 3-day course on multivariate data analysis (30
May to 1 June, 2007)
Dr. John MacGregor and his co-workers in ProSensus, have run this course
several times in the past, and participants have found it an excellent
way to obtain a working knowledge of multivariate methods.
The course will introduce and go into details about PCA and PLS
modeling, and how to solve industrial problems, such as
* learning from historical databases to improve process understanding
* building, using and interpreting multivariate monitoring (SPC) charts
* monitoring process performance and diagnosing assignable causes
* building predictive models (soft-sensors) and classifiers;
* a session dedicated to batch processes: learn how to optimize batch
strategies, monitor batches for early fault detection, and achieve
tighter control of final product properties.
All the details, in a single PDF file, are available from the course
What makes this course different?
- Examples are taken from a wide variety of industrial processes: batch,
pharmaceutical, petrochemical, food, and others.
- We are software-neutral; our focus is for you to understand the
methods, and apply them to real data sets - not just to learn new
software (but, we have computer labs to teach that also).
- Participants are encouraged to bring their own process data for
use/analysis in the interactive sessions.
- Participants receive a binder with all slides printed in colour, an
electronic copy of all slides (in PDF), and Excel data sets.
Title: Multivariate methods for process analysis, monitoring and
Location: Burlington-on-the-Lake Travelodge, Burlington, Ontario (close
to airports in Buffalo, NY, and Toronto, ON)
Dates: 30 May to 1 June, 2007 (Wednesday AM to Friday PM)
Cost: CAD$ 2100 per participant, approximately U$1890. Sales tax of
6% is extra.
Please also forward this message to any of your colleagues who might be
Kevin Dunn: Project leader
McMaster Innovation Park
175 Longwood Road South
Hamilton, Ontario, L8P 0A1
Canada (GMT -05:00)
Web site: http://www.prosensus.ca/