SEARCHAdvanced Spectral Preprocessing
June 10, 2020 - June 11, 2020
The recorded version of this course is now available in our EigenU Recorded Courses area.
Eigenvector Research, Inc. is pleased to bring you Advanced Spectral Preprocessing, an online instructor-led live short course. Preprocessing is a critical step in the development of models for classification and quantitation. This hands-on course will introduce you to many methods for improving models and show you how to apply them for best results.
Complete information about the course can be found by following the links below.
- Target Audience
- Course Description
- About the Instructors
- Course Fee
- Registration, Deadlines and Cancellations
- Schedule
- Course Outline
Target Audience
Advanced Spectral Preprocessing is aimed at engineers, chemists and other scientists who need to develop classification or predictive models based on spectroscopic data. It is applicable in a large number of analytical applications including
- Process Analysis, e.g. in the pharmaceutical, food and beverage, and process industries.
- Analytical Chemistry, e.g. QC labs, forensic investigations, etc.
- Standoff and Remote Sensing
- Sensory and Consumer Science
- Medical Devices
- Any field that requires models based on spectroscopic data
Course Description
The ultimate success of spectroscopic applications often hinges on data preprocessing. The goal of preprocessing is to mitigate the effects of clutter, i.e. variation in the data due to physical effects, instrument drift, noise and analytical interferents. Models can then focus on variation related to the properties of interest. Many methods have been developed to remove various sources of clutter. This course will illustrate these methods with hands-on examples with a variety of data sets from spectroscopy and spectrometry.
For this course it is assumed that participants have a basic understanding of elementary linear algebra and are familiar with basic chemometric methods including Principal Components Analysis (PCA) and Partial Least Squares regression (PLS).
This course will be delivered via WebEx webinar in two segments of three and a half hours each. The course material is based on our popular Eigenvector University Advanced Preprocessing for Spectral Applications course. Please refer to it for a complete description and course outline.
The course will include many follow-along examples and several homework problems. In order to take advantage of these, participants should equip their computers with current versions of our MATLAB based software PLS_Toolbox and MIA_Toolbox. Alternately participants can use our stand-alone Solo+MIA software (available for Windows, MacOS and Linux). 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 Instructors
The course will be led by Eigenvector President and PLS_Toolbox creator Barry M. Wise. He will be assisted by members of the Eigenvector scientific and software development team. Dr. Wise and the Eigenvector staff have delivered over 200 chemometrics courses at scientific conferences, on-site for companies and at our popular Eigenvector University each year in Seattle.
Course Fee
Eigenvector Research is pleased to offer this course at a special reduced “COVID-19 Lockdown” price. Prices include instruction, course materials (provided in advance in .pdf format) and a certificate of completion.
Prices shown are shown below. Payment must be received by 5pm PDT, Tuesday, June 9, 2020.
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Industrial
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Academic
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| Advanced Spectral Preprocessing |
$395
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$125
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Note: Payment must be received by 5pm PDT, Tuesday, June 9, 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. 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, Tuesday, June 9, 2020.
Complete refunds will be made for cancellations prior to June 8, 2020. No refunds will be made for cancellations after that date, however, substitutions are gladly accepted.
Schedule
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
Course Outline
For a detailed course description and outline please refer to the Eigenvector University Advanced Preprocessing for Spectral Applications course.