Custom Training Courses
Analyze IQ Limited provides on-demand customized software training for clients, either at our offices in Galway, Ireland, or at clients' premises anywhere across the world.
Typically, a one-day custom training course is provided, covering:
- Basic concepts of chemometric modelling
- Details of sophisticated chemometric analysis methods provided in the Analyze IQ software
- How to use Analyze IQ software to build, evaluate, and work with chemometric models
- How to refine and improve models
Training sessions make use of data provided by the client, if required.
Short Courses at Conferences: Modern Methods for Chemometric Analysis
We have delivered these well-attended one-day courses on modern methods for chemometric analysis annually at Pittcon since 2011, and at other major conferences/trade shows.
Spectroscopic techniques are commonly used to characterize materials. There is a wide variety of chemometric methods now available for analyzing spectroscopy data, ranging from long-established ones such as Principal Component Regression to recent ones such as Support Vector Machines.
This course will provide a practical introduction to chemometric modeling, including quantitative models (that relate spectra to a numeric property) and qualitative models (that answer yes/no questions). The course will not be mathematical, and aims to give you a useful intuitive understanding of how methods work, and how to select & apply them.
You will get hands-on experience using Analyze IQ software, with free licenses provided.
Topic 1: Analysis Basics
1.1 What is Chemometrics?
1.2 Introduction to Chemometric Modeling
1.3 Quantitative and Qualitative Analyses
1.4 Data Pre-Processing
1.5 Practical Demonstration
Topic 2: Building Chemometric Models
2.1 Compiling a Dataset
2.2 Selecting an Analysis Technique
2.3 Building a New Model
2.4 Basics of Evaluating Your New Model
2.5 Practical Demonstration
Topic 3: Understanding & Improving Model Performance
3.1 Understanding Results of Qualitative Analyses
3.2 Understanding Results of Quantitative Analyses
3.3 How To Improve Model Performance
Topic 4: Details of Model-Building Methods
4.1 Classification and Quantification Methods, including:
* k Nearest Neighbors
* Linear Regression
* Principal Component Regression
* Support Vector Machines
* Spectral Attribute Voting
4.2 Key features and guidelines for setting parameters of each one
Topic 5: Hands-On Practice
5.1 Opening a File and Applying a Model
5.2 Building a New Model
5.3 Evaluating a Model
5.4 Improving Model Performance
This is an introductory course, and no experience of chemometrics is required. The course is suited for scientists in biomedical, pharmaceutical, defense, and law enforcement, as well as researchers working in academia and commercial labs, and analytical chemists who wish to learn about new tools that are designed to work well for complex nonlinear analyses.
Prof. Michael Madden is the CEO of Analyze IQ Limited. The Analyze IQ software suite is designed to be easy to use, and features patent-protected new chemometric methods as well as traditional methods. Prof. Madden is the Professor of Computer Science in the National University of Ireland Galway, and has over 20 years of experience in university teaching and research, focusing on machine learning for analysis of data with applications in chemistry, physics, medicine, and engineering. He has published over 100 peer-reviewed research papers and has received numerous best paper/distinguished paper awards. He has also worked in research in the the University of Helsinki in Finland, the University of California at Irvine, and the University of California at Berkeley.