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Applied Multi-way Analysis

October 13, 2020 - October 15, 2020


The recorded version of this course is now available in our EigenU Recorded Courses area.

Eigenvector Research, Inc. is pleased to bring you Applied Multi-way Analysis, an online instructor-led live short course. Complete information about the course can be found by following the links below.

Course Description

Multi-way analysis deals with data that are logically arranged as 3rd order tensors (3-dimensional arrays) or higher order structures. Applied Multi-way Analysis begins with a review of multi-way data structures and the instruments that generate such data. Multi-way models, such as PARAFAC, Tucker and N-PLS, will be illustrated. Emphasis will be placed on how to apply these models and to show their unique properties. Applications, such as sensory data, chromatographic data and fluorescence data will be discussed. The course will finish with some advanced considerations such as optimal preprocessing and missing data. The course includes hands-on computer time for participants to work example problems using PLS_Toolbox, Solo and MATLAB®.

Prerequisites

Linear Algebra for Chemometricians and Chemometrics I: PCA or equivalent experience. MATLAB for Chemometricians may also be helpful.

Course Outline

    1. Introduction
    Notation used in multi-way analysis
    Intro to 3-way and higher data
    • chromatography with multi-channel detector (e.g. GC-MS)
    • fluorescence excitation-emission matrices (EEM)
    • batch process, etc.
    Handling 3-way data in MATLAB
    2. Multi-way Models
    PARAFAC
    PARAFAC2
    Tucker
    3. Regression modeling with Multi-way data
    Unfolding
    Multi-linear PLS

Course Fee

Prices include instruction, course materials (provided in advance in .pdf format), a certificate of completion and access to the recorded class sessions. Prices shown are shown below. Payment must be received by 5pm PDT, Monday, October 12, 2020.

Regular
Academic
Applied Multi-way Analysis
$395
$125

Note: Payment must be received by 5pm PDT, Monday, October 12, 2020. Credit card orders are strongly encouraged. 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. Note that we define academic as “degree granting institution.”

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 under the “Purchase” tab. You can pay directly with your MasterCard, VISA or American Express using our secure credit card processing. You may ask to be invoiced, however, Payments must be received by 5pm PDT, Monday, October 12, 2020.

Complete refunds will be made for cancellations prior to Friday, October 9, 2020. No refunds will be made for cancellations after that date, however, substitutions are gladly accepted.

Schedule

Applied Multi-way Analysis will be taught in two sessions of 3.5 hours each on Tuesday, October 13 and Thursday, October 15. The schedule each day will be as follows.

Daily Schedule, Pacific Daylight Time (PDT)
06:45 – 07:00 WebEx available for login *
07:00 – 08:00 Instruction
08:00 – 08:10 Coffee Break
08:10 – 09:10 Instruction
09:10 – 09:20 Coffee Break
09:20 – 10:20 Instruction
10:20 – 10:30 Wrap-up and questions

* 7:00 am PDT is 10:00am in New York, 15:00 in London and 16:00 in Paris.

Can’t make it at this time? The sessions will be recorded and made available to course participants for their use for one year after the event.