Exploratory and Advanced
Data Analysis
Lectures and Workshops
The National Wine & Grape Industry Centre at CSU is hosting a series of workshops demonstrating data analysis using chemometrics and metabolomic data analysis techniques.
The workshops will be led by Professor Douglas Rutledge from AgroParisTech.
Data
Information
Knowledge
Chemometrics is used to solve problems involving large amounts of data. Within process-analysis
and monitoring, chemical analysis, spectroscopy, molecular modelling, sensory analysis and
many other fields, large data-tables are obtained that need to be analysed and visualized in order
to be able to properly understand the problem at hand. This course will provide insight into the
most popular methods for exploring data, building calibration and regression models and for
building classification models.
The course is intended for people working with large data sets or who have general interest in
learning more about chemometrics and its applications. Some mathematical and statistical
expressions will be used in the course and variety of data will be used as examples.
Date:
Presented by Professor
Douglas Rutledge
9/6/15 - 11/6/15
Director of the Analytical Chemistry
Laboratory of AgroParisTech.
Location:
Douglas has an extensive background in analytical chemistry,
chemometrics and data analysis. He has authored over 150
peer reviewed publications, 17 books and book chapters and
presented at over 300 conferences (19 as invited speaker).
Professor Rutledge will be available at CSU for a week prior
to the workshop to consult and assist researchers with project
data analysis.
NWGIC Website: http://www.csu.edu.au/nwgic
NWGIC Training Centre,
Building 412,
Car park 26,
Wagga Wagga, NSW
Further Information and to
make appointments with
Professor Rutledge, please
contact Dr Leigh Schmidtke,
[email protected],
Proudly sponsorsed by DVC-Research
TOPICS COVERED:
General Introduction to Chemometrics
Chemical data
Optimisation methods
Data analysis - one variable at a time
Data analysis - all variables at the same
time
Requirements:
Registered participants must be able to supply a valid CSU user name and own computer capable of running Matlab. Computers
will need to have specific software installed
one week prior to the workshops.
Workshop Costs:
Internal (CSU)
Geometry and Matrix Calculations
Principal Components Analysis (PCA) :
Regression
Ordinary Least Squares regression
Multivariate Least Squares regression
Principal Components regression (PCR)
Partial Least Squares regression (PLS)
Validation of regression models
Discriminate Analysis:
Clustering and Classification
Data pretreatment
Independent Components Analysis (ICA)
Multi-table data analysis: Theory and applications
Bring your own data. Participants will be
able to use their own data during the hand-on
sessions. Don’t have sufficient data just yet:
no problem, example data sets will be available to grasp the fundamental aspects of data
analysis.
NWGIC Website: http://www.csu.edu.au/nwgic
Academic
Student
$500
$250
External
$1500
$750
unless prior arrangements have been made
between specific Research Centre Directors
and the NWGIC Research Management
Committee.
To register please email:
Robyn Harrington - [email protected]
Please register your interest in attending
either the lectures and/or workshops.
Registration to the workshops will be
strictly limited to 20 people.
Name:
School/Department:
Lecture Only:
Lecture & workshop:
Email:
Phone:
Registrations Close 20th May 2015
(unless booked out prior)