Introduction: characteristics of research work in natural sciences and engineering, overview of available statistical software (Excel, StatGraphics, SPSS, Matlab, Python, R) and web resources.
Design and analysis of experiments: factors, treatments, responses, one-way analysis of variance (ANOVA), comparison of means (multiple comparisons tests, planned comparisons – contrasts), randomised block designs, multi-way ANOVA, main effects, interactions, factorial designs (complete, fractional, saturated), response surfaces, optimisation methods.
Multivariate analysis: principal components analysis (PCA), clustering methods, multivariate regression (MLR, PLS), overview of other techniques (factor analysis, discriminant analysis, correspondence analysis, multidimensional scaling)
Textile Engineering, Graphic Communication and Textile Design (TGT)
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|Teacher||Aleš Hladnik (coordinator)|
Exam schedulesThere are no exams scheduled!
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