ECTS
ECTS Course Catalogue
Course details
Course code: BIS20108f15Semester: 2015/2016 summer
Name: Statistical Modeling of Breeding Data
Major: Bioinformatics
Study Type: second cycle
Course type: optional
Study Semester: 4
ECTS points: 6
Hours (Lectures / Tutorials / Other): 30 / 30 / 0
Lecturer: Prof. dr hab. Joanna Szyda
Language of instruction: Polish
The course taught in English if the group has ≥6 students. The course taught in Polish with a possibility of support in English if the group has <6 students
Learning outcomes: Knowledge W1 –A student has knowledge of advanced data analysis methods for continuously distributed data [BI2_W01]; W2 –A student knows how to use selected statistical packages for advanced data analyses [BI2_W03];\ Skills U1 –A student works in a variety of operating systems environments [BI2_U01]; U2 –A student develops computer programmes [BI2_U02]; U3 –A student has the ability to analyze the continuously distributed data including the construction of models, parameter estimation and hypothesis testing in the context of probabilistic theory [BI2_U03]; U4 –A student performs research tasks in the field of bioinformatics independently and as part of groupwork [BI2_U05]; U5 –A student demonstrates the ability to perform inference on the basis of complex models and hypotheses [BI2_U06]; U6 –A student uses statistical packages on an advanced level and has the ability to choose, install, and use of various open source programs available in the context of the analysis of large data sets[BI_U10_BP];
Competences:
Prerequisites: Statistical packages
Course content: The use of statistical packages, mixed models, repeated data
Recommended literature: 1. Gilmour AR, GogelBJ, Cullis BR, WelhamSJ, Thompson R: ASREMLUsers Guide. 2. LittellRC, Milliken GA, StroupWW, WolfingerRD: SAS System for Mixed Models. SAS Institute, Incorporated, 1996. 3. Verbeke G., Molenberghs G.:Linear Mixed Models in Practice. A SAS-OrientedApproach, Springer 1997. 4. VerbekeG., MolenberghsG.: Linear Mixed Models for Longitudinal Data, Springer 2000
Assessment methods: Assessment of tutorials: Based on the average grade calculated from written tests The final grade can be enhanced by student’s active participation in tutorials. The presence at tutorials is compulsory. The student may have one un authorized absence. Completion of the course: students with a valid credit for a tutorial under go a practical exam using a computer (4-8open questions) in the examination session. The examination lasts up to 90 minutes. During the exam the student has the right to use lecture notes, but cannot communicate with other students. If the exam is not passed a student has the right to retry it.
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