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CAMO provides professional training across the United States and Europe. Online workshops and public courses are taught throughout the year, bringing you the practical knowledge necessary to conduct research and interpret analyses on a daily basis. The course are on both Statistical and Multivariate
Analysis. This includes hands on training on the The Unscrambler® product. Discussions on Case studies from multiple industrial segments are also supplied.
Public training: Find CAMO course schedules lower down on this page. You
can register for the courses by contacting a CAMO representative.
FAQ on training.
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In-house courses |
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CAMO also proposes in-house courses and workshops. We have many years
experience in adapting our in-house training programmers to the very needs
of our customers. For more information please contact us.
In-house training is also provided on a request basis. The same course material is taught for
corporate with hands on training on the products. Please contact camotraining@camo.com for more information. |
Multivariate Analysis and Experimental Design
| Course schedules 2004 |
"Realize the value in your data". |
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Norway |
USA |
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CAMO Process AS
Nedre Vollgate 8,
N-0158 Oslo
Norway
Tel: +47 22 39 63 00
Fax: +47 22 39 63 22
Email: camo@camo.no
Web: www.camo.com |
CAMO Smart
1480 Route 9
North Suite 209
Woodbridge, NJ, USA
Tel: (732) 602-8886
Fax: (732) 602-8887
Email : camous@camo.com
Web: www.camo.com |
Our courses are inspired from the industrial opportunities offered by
chemometrics methods. With a non-mathematical approach, our participants
can quickly and safely start using the methods in their own work to
optimize, classify or predict products and processes.
In 2004, CAMO courses will take place in Oslo - Norway, Woodbridge - USA,
Germany, Paris - France and Utrecht - Holland.
Course concept :
Our courses are addressed to all scientists or engineers who collect and
analyze data e.g. within R&D, instrument data, experimentation or
process, or anyone confronted to situations where the understanding of
multivariable relationships is central.
The course leader will explain the methods and show relevant examples
utilizing either The Unscrambler® or The Unscrambler® Designer software
packages.
The participants will run practical exercises on the latest version of
The Unscrambler® or The Unscrambler® Designer for Windows.
Prior knowledge of CAMO's software is not required to attend our courses.
The courses are held in English, German, French, Dutch or Norwegian.
The participants have the possibility to run the exercises on their own
laptop computers.
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COURSE MODULES
Our courses are organized around two main application areas and are
based on CAMO's experience in chemometrics since the early 80's.
Read
about our trainers
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| Experimental Design (DoE) |
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Our module Experimental Design presents a smart and structured methodology to design and conduct experimental plans and analyze the experimental results. |
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Stuttgart - |
14-16 February 2005 |
3 |
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Oslo - |
20-22 April 2005 |
3 |
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Oslo - |
12-14 October 2005 |
3 |
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| Multivariate Data Analysis 1 |
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Our module Multivariate Data Analysis 1 presents the key methods for analysis of multivariate data, their principles, use, goals and specific applications. |
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Woodbridge - |
11-13 August 2004 |
3 |
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Utrecht, Holland- |
24-26 November 2004 |
3 |
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Stuttgart - |
29 November-1 December 2004 |
3 |
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Stuttgart - |
13-15 December 2004 |
3 |
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Madrid - |
12 - 14 January 2005 |
3 |
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Stuttgart - |
7 - 9 February 2005 |
3 |
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Oslo - |
9-11 February 2005 |
3 |
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Oslo - |
28-30 September 2005
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3 |
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| Multivariate Data Analysis 2 |
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Our module Multivariate Data Analysis 2 is proposed to participants who wish to learn more advanced techniques of multivariate analysis. |
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Oslo - |
15-16 November 2004 |
2 |
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Woodbridge - |
22-23 November 2004 |
2 |
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Stuttgart - |
22-23 November 2004 |
2 |
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Oslo - |
25-26 May 05 |
2 |
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Oslo - |
16-17 Nov 05 |
2 |
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| Chemometrics and Near-infrared Technology |
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Our module Near-infrared Technology presents an introduction to applications of NIR-Infrared Spectroscopy, and how to analyze results. |
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Woodbridge - |
To be determined 2004 |
3 |
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| Multivariate Data Analysis for
Spectroscopy |
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Our module
Multivariate Data Analysis for Spectroscopy presents methods and applications for analysis of spectroscopy data using The Unscrambler®. |
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Registration
For courses in Oslo - Norway, Utrecht
- Holland, Paris - France and Stuttgart - Germany send
an e-mail to camo@camo.no or
a fax +47 22 39 63 22:
For courses in Woodbridge, NJ, USA, send an e-mail to camotraining@camo.com or
a fax +1 732 602 8887:
Following information is necessary for registration : |
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Company name and address |
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Participant name |
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Phone number and e-mail, |
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Course, date and location. |
You will receive a confirmation within
the next few days.
Deadline for registrations: 3 weeks before course-start.
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"INTRODUCTION TO MULTIVARIATE
STATISTICS WITH CHEMOMETRICS & SPECTROSCOPIC APPLICATIONS"
(3-day course) |
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Dates Offered: October 25, 26, & 27
Location: Camo Smart Education Facility - Woodbridge,
NJ
Chemometrics is an important tool for the application
of many technologies including Near IR spectroscopy. Near
IR spectroscopy has become an important tool for quality
control, at line and on line analysis in a variety of industries.
This three day class is a hands-on course that will teach
participants how to use chemometrics to solve practical
problems. The course will assume no previous statistical
or chemometrics experience but will accommodate advanced
topics for seasoned practitioners as well.
The Instructors:
Dr. Frederick H. Long has been doing
analytical spectroscopy professionally for over fifteen
years. He established Spectroscopic Solutions in the summer
of 2001. Spectroscopic Solutions provides consulting and
training in the areas of process analytical technology,
spectroscopy, and statistics for regulated and non regulated
industries. His firm has done work for numerous international
pharmaceutical, consumer health-care companies, and scientific
instrumentation suppliers.
Dr. Long has published over forty peer-reviewed publications
in all many areas of spectroscopy including Raman and NIR
spectroscopy, ultra-fast and non-linear phenomena, and
the optics of human tissue. He received his S.B. and S.M.
in Physics from the Massachusetts Institute of Technology
and a Ph.D. in Chemical Physics from Columbia University.
This could also be added to our Scientific Board of Advisors
Section as well as Fred has joined that.
Dr. Dongsheng Bu is a Chemometrician,
Spectroscopy expert and Statistician. He has more than
10 years experience in spectroscopic applications, chemometrics
and statistical analysis. He received his BS in Chemical
Physics from East China University of Chemical Technology.
Click
here to read more about this course and to enroll.
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Although they complete each other, the Multivariate Analysis course and
the Experimental Design course are independent from each other, and can
be followed one after the other in no preferred order.
All participants to Multivariate Analysis courses who are not yet
registered licensees will receive a free 30-day test installation of
latest version of The Unscrambler® to be able to apply the methods right
away in their own work.
In addition, all participants will be offered to purchase The Introducer
(incl. Prof. Kim Esbensen's book Multivariate Data Analysis in Practice)
at a discounted price.
| Experimental Design
: 3-day course |
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Introduction to experimental design |
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Questions experimental design can answer |
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Classical experimental strategies / Why
is experimental design useful? |
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Principles of experimental design |
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Problem formulation; which design type
to use |
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Screening designs: types, purposes and
principles |
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Optimizations designs: types, purposes and principles |
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Analysis of screening designs: main
effects, interactions, ANOVA |
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Analysis of optimization designs: main effects, interactions, square
effects, response surface ANOVA |
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Response surface modeling and interpretation |
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Specific issues: |
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Developing an effective strategy from screening to
optimization |
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How to integrate experimental design in a global multivariate strategy |
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Constrained designs: D-optimal and
mixture designs |
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How to recognize a constrained
experimental situation |
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Building constrained designs |
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Analysis of results with PLS-regression |
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Results interpretation. |
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Multivariate Data Analysis 1 : 3-day course |
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The world is multivariate - Introduction to
multivariate data modeling |
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When are multivariate methods useful? |
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Principles and applications of: |
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Principal Component Analysis (PCA) |
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Multivariate regression: Multi Linear Regression (MLR), Principal
Component Regression (PCR), Partial Least Squares (PLS) |
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Relevant data collection |
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Multivariate modeling step by step |
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Pretreatment and scaling |
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Detecting and dealing with outliers |
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Calibration, validation |
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Prediction |
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The different validation methods |
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Basic rules for successful data analysis |
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Multivariate Data Analysis 2 : 2-day course |
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This course is addressed to the scientists who are familiar with the
principles and use of multivariate methods and wish for further training.
A stress is put on diagnostics and model improvement. The course
program includes theory and exercises on PCA, Regression, Prediction
and classification methods. |
Near-infrared Technology - Getting the Best Out of Light : 1-day
course
Our module Near-infrared Technology presents an introduction to
applications of NIR-Infrared Spectroscopy, and how to analyze results. |
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Introduction and the Economic Benefits of
Near-infrared Technology |
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Statistical Terms Necessary to the Evaluation of
Accuracy and Precision |
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Instrumentation |
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Introduction to NIR Software |
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Sampling, Sample Preparation, and Sample Presentation |
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Variables that Can Affect Performance |
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Calibration Development and Evaluation Methods |
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Interpretation of Calibration Evaluation |
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Reference Analysis and Factors Affecting its
Interpretation |
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Applications, including Routine Analysis and
Networking |
Multivariate Data Analysis for Spectroscopy : 2-day course
Our module Multivariate Data Analysis for Spectroscopy presents methods
and applications for analysis of spectroscopy data using The Unscrambler®. |
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The Unscrambler® Overview |
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Visualizing Data through Plots |
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Modifying Variable and Sample Sets |
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Data Pre-Processing |
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PCA |
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Regression Methods: PCR, PLS, MLR |
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Outliers in PCA and PLS |
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Inspection (Evaluation) of Data Quality |
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Calibration Methods |
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Calibration Development |
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Validation and Interpretation |
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Prediction and Routine Analysis |
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SIMCA |
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Data Handling (Importing / Exporting) |
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Application of The Unscrambler® in NIR operations |
Back to COURSE MODULES
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