Course - Chemometrics, Advanced Course - TKJ4195
Chemometrics, Advanced Course
About
About the course
Course content
The course covers the following subjects: Fourier and wavelet filtering, convolution, deconvolution, numerical differentiation, evolving factor analysis, factor rotation, SIMPLISMA, HELP, rule induction, backpropagation, discriminant partial least squares (DPLS), genetic algorithms, genetic programming, time series analysis (hidden Markov models), N-way methods (PARAFAC, N-way PLSR), Kohonen networks and fuzzy cluster analysis.
Learning outcome
The student should obtain an understanding of and be able to use: preprocessing and denoising of data from chemical instruments, multicomponent methods, supervised and unsupervised classification.
Learning methods and activities
Lectures and exercises. English teaching by request.
Compulsory assignments
- Exercises
Recommended previous knowledge
Knowledge corresponding to TKJ4175.
Course materials
Will be introduced at start og lectures.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| KJ3053 | 3.7 sp | |
| SIK3084 | 7.5 sp |
Subject areas
- Physical Chemistry
- Chemistry
- Chemometrics
- Technological subjects