ECTS
ECTS Course Catalogue
Course details
Course code: BIS10054f17Semester: 2017/2018 summer
Name: Using Linear and Mixed Models for Analysis of Biological Data
Major: Bioinformatics
Study Type: first cycle
Course type: optional
Study Semester: 6
ECTS points: 2
Hours (Lectures / Tutorials / Other): 15 / 15 / 0
Lecturer: dr inż. Tomasz Suchocki
Language of instruction: Polish
1. The course exclusively in Polish, with a possibility of support in English
Learning outcomes: Knowledge The student knows the theoretical and practical aspects of modeling of the biological data using linear and mixed models [BI_W9], - can apply theoretical knowledge of statistical methods to real data sets in a statistical package R [BI_W13, BI_W14, BI_W15]. Skills The student knows the computer lab equipment and the specificity and safety rules in the computer lab, - has basic knowledge of statistical modeling of biological data [BI_U01, BI_U03, BI_U07]. The student can perform statistical analysis of real data set in statistical package R [BI_U03, BI_U04, BI_U05, BI_U07, BI_U12]. Social competences (attitudes): The student understands the analysed biological phenomenon – can work in a team [BI_K02, BI_K07], - is responsible for the computer equipment – knows the BHP rules in computer lab [BI_K07].
Competences:
Prerequisites: statistical packages, mathematical statistics, mathematics
Course content: Introduction to R package, linear models, analysis of variance, AIC, BIC and mBIC criterions, stepwise regression, linear mixed models, testing of significance, LRT test, estimating variance parameters in mixed model.
Recommended literature: 1. Biecek P. (2011). Analiza danych z programem R. Modele liniowe z efektami stałymi, losowymi i mieszanymi, Wydawnictwo Naukowe PWN. 2. Biecek P. (2008). Przewodnik po pakiecie R. Oficyna Wydawnicza GiS. 3. Crawley M. J. (2007). The R Book. Wiley.
Assessment methods:
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