Chemometric education in Finland

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Transcript Chemometric education in Finland

Chemometric education
in Finland
Universities (higher education)
Other
Higher education in Finland
► Universities
 Undergraduate studies => Batchelor of Science
(3 years)
 Postgraduate studies => Masters of Science (23 years)
 Licentiate degree (4 years)
 Doctorate studies => PhD or DSci (over 4
years)
Traditional Scientific Universities: of Technology, Philosophy, Economics, etc
Lower level schools, who are not scientific universities, call themselves universities
(in Finnish ammattikorkeakoulu = vocational higher institute)
► 20
universities
in 10 cities
Chemometrics in Universities
► Lappeenranta
University of Technology
 Started in 1988
 Included in Industrial and Environmental Analytics
(advanced course for 5th year students)
 Includes experimental design, PCA, PLS, multivariate
calibration and validation
 For 3rd year students industrial metrogy
 Factor analysis and PCA are teach also in departments
of applied mathematics and economics
 DoE offered by the department of applied math.
 Postgraduate course(s) on multivariate modelling
Other universities
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University of Jyväskylä: Chemometrics (Basic course, 4 ect) offered
in programme of wood (paper) processing industry
University of Oulu: applied mathematical statistics (accept also
chemometric courses offered by second parties)
University of Vaasa: Chemometry 5 ect, in automation technology
Univeristy of Helsinki: Chemometrics 2 ect in environmental ecology,
and in analytical chemistry
University of Kuopio: Mathematics for pharmacists (multivariate
methods)
Åbo Akademi University: the Nordic Institute for Chemometric
Education
University of Technology (Otaniemi): Systems analysis laboratory
University of Turku: Computational chemistry and molecular
modelling (QSAR) 3 ect, in chemistry
University of Joensuu: QSAR as a part of Chemistry
Nordic Institute for Chemometric Education
A NORFA Network (postgraduate students)
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Four groups involved:
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Department of
Department of
Department of
Department of
Chemistry, University of Bergen, Olav M. Kvalheim
Analytical Chemistry, Stockholm University, Bo Karlberg
Analytical Chemistry, Åbo Akademi, Åbo, Ari Ivaska
Dairy and Food Science, KVL, Copenhagen, Lars Nørgaard
No activity since 2004?
► Courses
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 2004 Workshop on N-way analysis, system biology, proteomics and metabonomics,
Bergen
 2004 Process Analytical Chemistry, Åbo
 2003 Advanced Chemometric Methods: Multi-way Analysis Copenhagen
 2003 Artificial neural networks Stockholm
 2002 Multi component analysis of 2-way data Umeå
 2001 Advanced Chemometric Methods, Copenhagen
 2001 Workshop on process analysis and process optimisation, Åland
 2000 Analysis of 2-way data, self-modelling and dynamic techniques, Bergen
 2000 Process analysis and instrumentation Stockholm
NIRCE - NIR Center of
Excellence
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graduate courses in NIR and chemometrics
industry short courses on selected topics in NIR spectroscopy and
chemometrics
an instrument pool maintained by experienced professionals
the planning and carrying out of research projects
evaluation of the industrial potential of new research ideas
NIRCE Partners
 Umeå University Cooperates through the Center for Medical Technology and
Physics and through the Department of Archeology.
 The Swedish University of Agricultural Sciences, SLU, in Umeå has many
NIR projects in forestry, plant physiology, feed and biofuel.
 At the University of Vaasa there is a group working on genetic algorithms
applied to industrial problems and automation.
 The Swedish Polytechnic , Finland has a very long tradition of collaboration
with local industries, where NIR equipment can be used as a powerful online
measurement method.
 NIR Nord. NIRCE co-operates with NIR Nord in the organisation of symposia
and workshops with international speakers.
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Industrial partners: Umbio and Ketek
Course on Chemometrics, part 1:
Multivariate Methods in Analytical Chemistry,
Lappeenranta, Finland
http://www2.lut.fi/kete/laboratories/Inorganic_and_Analytical_Chemistry/shedulemv.htm
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Postgraduate course offered to 4 universities + industry
Includes: PCA, MSPC, SIMCA, PLS, MV calibration + validation of
models, DoE, Introduction advanced topics (N-way, dynamic, nonlinear), practical exercises, individual assignment, 2 days on an
advanced topic + 1 day seminar
On-line analysis using spectral profiling
(Prof. Olav Kvalheim)
8 - 10 Data, matrices and projections/latent variable
regressions
10 - 11 Analysis of blending processes using
spectroscopy, mixture design, and, PLS
11 - 12 Practical session:
Prediction of analyte concentrations in 3component mixtures by means of spectral
profiling
13 - 14 On-line analysis of processes using
spectroscopic methods
14 - 16 Practical session:
On-line model for octane using near infrared
spectroscopy
Mixture analysis using hyphenated instruments
(Prof. Olav Kvalheim)
8–9
Taxonomy of analytical mixture problems
9 - 10
Data from hyphenated instruments - Resolution of
mixtures by evolving methods
10 -12 Data from hyphenated systems - Resolution of
mixtures using Heuristic Evolving Latent
Projections
(HELP)
13 -15 Practical session:
Demonstration of resolution of multicomponent
analytical systems
Other courses
► Discussion
Group on Chemometrics
(Association of Chemical Societies)
 At least every second year courses such as:
Chemometrics in R (2008), Recent Advances in
Multi-way Analysis (Rasmus Bro, 2007), Applied
Multi-Way Analysis (Rasmus Bro, 2005) ,
Introduction to PCA and PLS (2005)
► Occasionally
courses may be offered by
CAMO, Umetrics, etc
Chemometric education
(including advanced topics)
► DoE
at least in most technical universities
► Mathematical Statistics, Neural network +
Computer science is available in most technical
universities
► Chemistry, applied chemistry includes
 MV calibration, spectra handling methods, MSPC type
modelling, hard/soft modelling
► Pharmaceutics
includes
 molecular modelling, QSAR, PAT tools (neural network,
multiway, MV calibration, spectra handling)
No included
► Multiway
(available, e.g., in Coopenhagen)
► Bulti-Block
► Dynamic models
► Non-linear models
► “Recent Methods”