Předmět Ecological Data Processing (ZEX03E)

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Materiál	Typ	Datum	Počet stažení

Cíl

The aim is to impress the fundamental rules of scientific work in collecting, processing, interpreting and publication of ecological data. Basic statistic terms and procedures are prerequisited, the course is focused on their application in a row of real situations and cases. The gained knowledge would be useful in own students´ presentations, in their diploma work as well as in critical examination of published results or unpublished (project) applications.

Osnova

PřednáškaStructure of biological dataScales of measurements, data sampling, hypothesis testing, type I and II error, significance levelFrequency analysisT tests, F tests - case studiesCorrelation and regression - case studiesOne-way ANOVA - case studiesTwo-way ANOVA - case studiesMultiple regression, GLM in R, case studiesMultivariate analysis, PCAMultivariate analysis, PCAMultivariate analysis, CCA and DCA, Monte Carlo testMultivariate analysis, direct and undirect methods, case studiesCvičeníCases of biological data, data management (Excel), randomness, sources (web of knowledge)Hypothesis testing, mean, standard deviation, standard error - Excel, StatisticaFrequency analysis - Statisticat tests and F tests - StatisticaCorrelation and regression - StatisticaOne-way ANOVA - Statistica and RTwo-way ANOVA - - Statistica and RMultiple regression and GLM - RPCA - case studiesUndirect ordination - studiesDirect ordination - studiesMonte Carlo test - CANOCO

Získané způsobilosti

Znalosti:Students understand the difficulties of hypothesis formulation, which are biologically sensefull and they know basic statistical procedures, which can be used while hypotheses testing. They have an overview in essential sources, from which an actual literature can be pumped. They know software for statistical analyzes.Dovednosti:Students work efectivelly with up-to-date literature and on the basis of the bibliographic searches they are able to formulate biologically sensefull hypothesis, which can be statistically tested. They handle a correct actions with data before analyzes and they handle easy statistical prosedures using standardized statistical programs.Kompetence - komunikace:Students respects and handle communication rules in specialized team. He is able to justify in detail actions for problem solving including methodological crags, formulate and defend his own opinion.Kompetence - úsudek:Student understands crags connected with the different approaches in collecting and evaluating the data and is able to critically discuss this topic and propose variant solution.

Literatura

ZákladníLEPŠ J., 1996 Biostatistika (skriptum). České Budějovice, BF JU, ISBN 80-7040-154-0, 166 pp.DoporučenáDROZD P., 2007 ICT v biologickém vzdělávání. Ostrava, Ostravská univerzita, 163 pp.KREBS C.J., 1999 Ecological Methodology. Menlo Park, Addison Wesley, ISBN 0-06-043784-7, 654 pp.PEKÁR S., BRABEC M., 2009 Moderní analýza biologických dat. Zobecněné lineární modely v prostředí R. Praha, Scientia, ISBN 978-80-86960-44-9, 225 pp.ZVÁRA K., 2004 Biostatistika. Praha Karolinum, ISBN 80-246-0739-5, 213 pp.

Požadavky

none

Garant

prof. Dr. Mgr. Miroslav Šálek