Eigenvector University Japan

January 15-17, 2018
Marriott Courtyard Tokyo Ginza
Tokyo, JAPAN


Eigenvector Research, Inc. is pleased to offer the Inaugural EigenU Japan. For this first event we are headed to Tokyo, Ginza where we will be staying at the beautiful Marriott Courtyard, pictured at right.

This edition of EigenU begins Monday with a free course, Introduction to Chemometrics with PLS_Toolbox, Solo & Solo+MIA, designed to acquaint users with Eigenvector software. This will be followed on Tuesday and Wednesday by our popular Chemometrics without Equations.

Complete information about the course can be found by following the links below.
FOSS Innovation Center

Target Audience

Eigenvector University Japan is aimed at engineers, chemists and other scientists who want to be able to analyze their own laboratory or process data, develop their own data models or develop instruments that produce analytical data. It is especially well suited for those with an interest in process analytical technology (PAT) in the pharmaceutical, food and beverage, and process industries. The course serves individuals with a need for exploratory data analysis, development of predictive models such as analytical instrument calibrations, soft sensor models, multivariate statistical process control (MSPC) and sample classification. No prior knowledge is required for this course, although some knowledge of basic statistics and elementary linear algebra is useful.

Course Description & Outline

Monday's course Introduction to Chemometrics with PLS_Toolbox, Solo and Solo+MIA provides a high level overview of Eigenvector software capabilities. The course starts with basics of working with data in PLS_Toolbox/Solo then demonstrates many commonly used chemometric methods. Monday's course is free, however advanced registration is required.

On Tuesday and Wednesday our popular Chemometrics without Equations will be presented. The course concentrates on two areas of chemometrics: 1) exploratory data analysis and pattern recognition, and 2) regression. Participants will learn to safely apply techniques such as Principal Components Analysis (PCA), Principal Components Regression (PCR), and Partial Least Squares (PLS) Regression. Examples will include problems drawn from process monitoring and quality control, predicting product properties, and others. The course concludes with segments on advaned data preprocessing and variable selection.

Participants must bring their own laptops with current versions of Solo or PLS_Toolbox (and MATLAB) installed. Demo copies will work just fine. Users with Eigenvector accounts can download free demos. If you don't have an account, start by creating one.

About the Instructor

The courses will be led by Eigenvector President Dr. Barry M. Wise. Wise holds a doctorate in chemical engineering and is the creator of PLS_Toolbox. Each spring Wise organizes and teaches at Eigenvector University in Seattle, WA, the most comprehensive offering of chemometrics classes in the world. Wise has experience in a wide variety of applications spanning chemical process monitoring, modeling and analytical instrument development. He is the receipient of the EAS Award for Achievements in Chemometrics.

Course Fee and Registrations

Prices include instruction, course materials, lunch (Tuesday and Wednesday) and coffee breaks.

Prices shown are for Early/Regular rates. To get the Early Registration rate, payment must be received on or before December 15, 2017.

Intro to Chemometrics with PLS_Toolbox, Solo & Solo+MIA, Monday
Chemometrics without Equations, Tuesday and Wednesday

* Monday's course is FREE however advanced registration is required.

Note: payment must be received on or before December 15, 2017, in order to get the discounted Early Registration price. If payment for Early Registration is not received by Dectember 15, we will re-invoice you at the Regular Registration rate. Acceptable forms of payment include MasterCard, VISA, American Express, and checks drawn on a US bank. Wire transfers can also be arranged.

Academic discount: University students and faculty are eligible for the academic rate. Verification of University affiliation is required by providing valid university mailing and e-mail address. Due to the limited class size, academic participation will initially be limited to 10 seats. After these seats are full, students will be placed on a waiting list and will be notified if additional seats become available.

PLS_Toolbox discount: All attendees can purchase PLS_Toolbox for MATLAB or Solo software for $200 off the current industrial rate as part of the course. (Discount does not apply to Academic licenses.)

How to Register, Deadlines and Cancellations

To register, login to your Eigenvector account, or create an account, then select the class you would like to attend. You can pay directly with your MasterCard, VISA or American Express using our secure credit card processing, or ask to be invoiced. Payments must be received by December 15, 2017 in order to get the early registration prices.

Complete refunds will be made for cancellations prior to December 15, 2017. Cancellations after that date will be assessed a $250 cancellation fee.

Lodging and Transportation

Lodging is available on-site at the Courtyard Marriott Tokyo Ginza. A block of 15 rooms has been reserved for workshop participants. The room rates are 37,978¥ per night for a standard double no smoking room (26m2, includes 10% service charge, 8% tax and 200¥ occupancy tax). Price includes breakfast. Contact the hotel via phone at +81-3-35460111 Be sure to mention Eigenvector University when making your reservation.

Courtyard Tokyo Ginza Hotel is easy to reach from Tokyo Narita (NRT) or Tokyo Haneda (HND) and is near two subway stations and two train stations. For more information about getting to the hotel please visit the travel page on the hotel website.


Monday, Introduction to Chemometrics with PLS_Toolbox, Solo & Solo+MIA
09:30 - 11:00 Instruction
11:00 - 11:15 Break
11:15 - 13:00 Instruction
13:00 - 14:00 Lunch (on your own)
14:00 - 15:00 Instruction
15:00 - 15:30 Wrap-up

Tuesday, Chemometrics without Equations
08:30 - 10:00 Instruction
10:00 - 10:15 Break
10:15 - 12:00 Instruction
12:00 - 13:00 Lunch (provided)
13:00 - 15:00 Instruction
15:00 - 15:15 Break
15:15 - 16:30 Instruction

Wednesday, Chemometrics without Equations (conclusion)
08:30 - 10:30 Instruction
10:30 - 10:45 Break
10:45 - 12:30 Instruction
12:30 - 13:00 Course Conclusion
13:00 - 14:00 Lunch (provided)

Course Outlines

Introduction to Chemometrics with PLS_Toolbox, Solo and Solo+MIA on Monday, December 15 will cover:

- Motivation for Chemometrics & Definitions
- Introduction to PLS_Toolbox/Solo/Solo+MIA
- Editing and selecting data
- Principal Components Analysis(PCA)
- Partial Least Squares Regression (PLS)
- Non-linear Methods
- Working with Hyperspectral Images
- Multi-way Methods

Chemometrics without Equations on Tuesday and Wednesday, December 16-17 will cover:

1. Introduction
1.1 what is chemometrics?
1.2 resources

2 Pattern Recognition Motivation
2.1 what is pattern recognition?
2.2 relevant measurements
2.3 some statistical definitions

3. Principal Components Analysis
3.1 what is PCA?
3.2 scores and loadings
3.3 interpretation
3.4 supervised and unsupervised pattern recognition
3.5 examples

4. Regression
4.1 what is regression?
4.2 classical least squares (CLS)
4.3 inverse least squares (ILS)
4.4 principal components regression (PCR)
4.5 partial least squares regression (PLS)
4.6 examples

5 Advanced Preprocessing
5.1 what are the goals of preprocessing?
5.2 mean- and median-centering, autoscaling
5.3 normalization and standard normal variate
5.4 Savitsky-Golay and filtering
5.5 generalized least squares weighting (GLS)
5.6 multiplicative scatter correction (MSC)

6. Variable selection (time permitting)
6.1 why do variable selection?
6.2 knowledge based selection
6.3 model based, e.g. on loadings
6.4 interval PLS (iPLS)

7. Summary