Course Information
Course Title: Chemometric Techniques for Quantitative Analysis
Categories: 1 - Chemometrics
Instructor(s): Richard Kramer Course Number: 5
Affiliation: Applied Chemometrics
Course Date: 03/11/2012 - Sunday Course Length: 1 Day Course
Start Time: 08:30 AM End Time: 05:00 PM
Fee: $455 ($655 after 2/13/12) Textbook Fee: $75

Course Description
This course is designed to get the student quickly "up to speed" with the Multiple Linear Regressions and Factor-Based techniques used to produce quantitative calibrations from instrumental and other data: Classical Least-Squares (CLS), Inverse Least Squares (ILS), Principle Least-Squares in latent variables (PLS). It also covers the basic concepts of Principal Component Anaysis which are used for qualitative analysis. The emphasis will be on using actual and synthetic data to gain a practical understanding of the different techniques and their proper application.

Target Audience
This course is intended for chemists, spectroscopists, chromatographers, biologists, programmers, technicians, mathematicians, statistcians, managers, engineers and anyone responsible for developing analytical calibrations using laboratory or on-line instrumentation.

Course Outline
ILS, CLS, PCR, PLS  The steps necessary for the creation and successful deployment of calibrations. The similarity and differences among the techniques, the pitfalls and tradeoffs and how to intelligently use them to improve calibrations and produce better analytical results. The strengths and weaknesses of each technique.  How to select calibration standards and assess the reliability of calibrations.  Which software capabilities and features are important for the student's applications.  Properly use the quantitative software provided with an instrument or commercial package.  Read critically and understand the current literature.  Further explore the topics using the course notes and comprehensive bibliography. This introductory course requires no prior exposure to the materials.  Students who have explored the topics but are not yet comfortable using them will also find this course beneficial.  The data-centric aproach to the topics does not require any special mathematical background, but a familiarity with matrix multiplication would be helpful.  Beginner to intermediate.  Advanced people transitioning from other fields (like statistics) will also find the course worthwhile.

Course Instructor's Biography
Richard Kramer is President of Applied Chemometrics, Inc., a comprehensive supplier of chemometrics consulting, software and training. He is the author of the Chemometrics Toolbox software for use with MATLAB which was introduced by the MathWorks in 1987. His Chemometric Techniques for Quantitative Analysis, now in it's tenth printing, is widely regarded as one of the most helpful print resources for people entering the field. Mr. Kramer is actively involved in writing and reviewing standards as a contributing member of ASTM committees E13.11 on Multivariate Analysis and E55 on PAT. He has more than 25 years of experience with the industrial application of multivariate analytical instrumentation and has been instructing in the practical applications of chemometrics for over 20 years.