| Type: | Ph.D.-level, Open University
Language: Danish |
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Previous course: C3041
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No credit points with: 30253.C3041
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Recommended semester: 7th - 9th semester
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Scope and form: 3-week period with lectures, exercises, case-studies and reports (two & two).
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Examination: Evaluation of report(s) (13-scale)
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Participant limitation: max. 20
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Remarks: Students who are particularly interested in mycology courses that deal with biotechnology, taxonomy, physiology, metabolites and ecology are recommended to check the course catalogue of Öresund Mycology School; http://www.bot.ku.dk/oms/.
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Department: Department of Biotechnology
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Aim: To be able to use multivariate statistics in the evaluation if biological, chemical and biotechnological data (soft modelling, data controlled modelling, chemometrics).
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Contents: Lectures, demonstrations and PC based work on data in the following areas: experimental design, hierarchical clustering, fuzzy clustering, minimum spanning trees, principal component analysis, partial least square analysis, correspondence analysis, metric and non-metric multidimensional scaling, SIMCA classification, neural networks and identification keys.
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