ECTS Course Catalogue
Course details
Course code:
BIS10054f17Semester:
2017/2018 summerName:
Using Linear and Mixed Models for Analysis of Biological DataMajor:
BioinformaticsStudy Type:
first cycleCourse type:
optionalStudy Semester:
6ECTS points:
2Hours (Lectures / Tutorials / Other):
15 / 15 / 0Lecturer:
dr inż. Tomasz SuchockiLanguage of instruction:
Polish1. The course exclusively in Polish, with a possibility of support in EnglishLearning 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, mathematicsCourse 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:
Comment: