| Lecturer(s) | 
    | 
            
                
                    Šimek Petr, RNDr. CSc.
                
                    Hill Martin, Ing. CSc.
                 | 
    | Course content | 
    | Content of lectures: Lectures will be organized in two sections: Introduction to metabolomics. Metabolomics as a part of systems biology, analytical strategies in metabolomics - sample preparation, biological materials, instrumental analysis, data processing tools, metabolite databases, metabolic pathways, metabolomics of biofluids. Chemometrics-informatics in metabolomics: univariate sample, relationships between continuous variable and a set of discrete variables, t-tests, one-way ANOVA, relationships between continuous variables, relationships between continuous dependent variable and a matrix of continuous independent variables, linear regression, relationships between continuous dependent variable and a set of continuous and discrete independent variables, relationships between discrete dependent variable and a set of continuous and discrete independent variables, relationships between discrete variables, multivariate methods, principal component analysis, factor rotation, cluster analysis, software tools for chemometrics a metabolomics - Excel, Statgraphics, Statistica, NCSS, SIMCA; practical applications of chemometric/informatic tools in metabolomics. 
 
 | 
    | Learning activities and teaching methods | 
    | 
                    
                
                    
                    Class attendance
                        - 64 hours per semester
                    Preparation for classes
                        - 10 hours per semester
                    Preparation for exam
                        - 15 hours per semester
                     | 
    
    
        
        
            | Learning outcomes | 
        
            | Basic chemometric principles and approaches, the most important methods of metabolites analyses. 
 
 | 
        
            | Prerequisites | 
        
            | unspecified 
 
 | 
        
            | Assessment methods and criteria | 
        
            | unspecified Additional information: A dedicated classroom with PC equipment and basic statistical program accessible to every student is a prerequisite
 
 | 
    
    | Recommended literature | 
    | 
            
                
                
                    M. Meloun, J. Militký, Kompendium statistického zpracování dat, Academia, 2002. 
                
                    M. Meloun, J. Militký, M. Hill, Počítačová analýza vícerozměrných dat v příkladech, Academia, 200, recentní publikace. 
                
                    M. Meloun, J. Militký, Statistická analýza experimentálních dat, Academia, 2004. 
                 
 
 |