Basic Chemometrics PLUS

Eigenvector Research, Inc. is pleased to announce Basic Chemometrics PLUS, a series of hands-on two day short courses covering introductory chemometric methods, plus an additional half day session with a variety of topics specific to each class. This course will be offered in several locations in the US and abroad in 2019-20.

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

Target Audience

Basic Chemometrics PLUS 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

The first two days of Basic Chemometrics PLUS will cover the fundamentals of the most commonly used chemometric methods, principal components analysis (PCA) and partial least squares (PLS) regression. Emphasis will be on applying these techniques in the chemical process and laboratory environment for pattern recognition, instrument calibration, and sample classification. The course material is drawn from our popular Eigenvector University Series. The class begins with a brief review of Linear Algebra for Chemometricians, and moves quickly into Chemometrics I:PCA and then on to Chemometrics II: Regression and PLS. Aspects of Sample Classification methods will also be covered.

The morning of the third day will cover a variety of topics unique to each class. Topics are drawn from our EigenU classes. This also a good time for “how to” questions and software demonstrations.

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 Instructors

The courses will be led by experienced members of the Eigenvector staff and will vary from class to class.

Course Fees and Registrations

Prices vary between locations but generally include instruction, course materials (provided in advance in .pdf format), lunch on the first two days, and coffee breaks. Academic rates are available. Verification of University affiliation is required by providing valid university mailing and e-mail address.

PLS_Toolbox discount: 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.

Typical Schedule

Day 1
09:00 – 10:00 Registration
10:00 – 11:00 Linear Algebra for Chemometricians
11:00 – 11:15 Coffee Break
11:15 – 12:30 Chemo I: Intro to PCA
12:30 – 13:30 Lunch (provided)
13:30 – 15:00 Chemo I: continued
15:00 – 15:15 Regreshment Break 
15:15 – 16:30 Chemo I: conclusion
16:30 – 17:00 Follow up questions, wrap up

Day 2
08:30 – 10:00 Chemo II: Regression and PLS
10:00 – 10:15 Coffee Break
10:15 – 12:00 Chemo II: continued
12:00 – 13:00 Lunch (provided)
13:00 – 15:00 Chemo II: conclusion
15:00 – 15:15 Refreshment Break 
15:15 – 16:30 Sample Classification
16:30 – 17:00 Follow up questions, wrap up

Day 3
09:00 – 10:00 Instruction topic TBD
10:15 – 10:30 Coffee Break
10:30 – 11:30 TBD
11:30 – 11:45 Follow up questions, wrap up
11:45 – 12:00 Additional time for questions, Class ends

Course Outline

Basic Chemometrics PLUS will include the following modules from our annual Eigenvector University. Click on each title for more detailed information about the module.