PřF:Bi7921 Advanced biol. data analysis - Course Information
Bi7921 Advanced methods of analysis of biological data
Faculty of Sciencespring 2012 - acreditation
The information about the term spring 2012 - acreditation is not made public
- Extent and Intensity
- 0/2. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
- Teacher(s)
- Ing. Marek Brabec, PhD. (lecturer)
prof. Mgr. Stanislav Pekár, Ph.D. (lecturer) - Guaranteed by
- prof. Mgr. Stanislav Pekár, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. Mgr. Stanislav Pekár, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science - Prerequisites
- Bi5040 Biostatistics - basic course && Bi8190 Vizualization of biolog. data && Bi7920 Data analysis
Basic biostatistic methods, General Linear Model, Generalised Linear Models. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Botany (programme PřF, D-BI4)
- Ecology (programme PřF, D-BI4)
- Animal Physiology (programme PřF, D-BI4)
- Hydrobiology (programme PřF, D-BI4)
- General Biology (programme PřF, N-BI, specialization Physiology of Animals)
- Parasitology (programme PřF, D-BI4)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Zoology and Ecology)
- Zoology (programme PřF, D-BI4)
- Course objectives
- Aim of this lecture is to show how to analyse data with correlated structure by means of selected advanced methods.
- Syllabus
- 1) Correlated data. 2) Experimental design: Nested, Split-plot. Pseudoreplication. 3) Time Series analysis. 4) Spatial statistics. 5) Generalised Least Squares, Linear Mixed-Effect models, Generalised Estimating Equations. 6) Models with phylogenetical corrections.
- Teaching methods (in Czech)
- Výuka je postavena na řešení konkrétních biologických příkladů.
- Assessment methods (in Czech)
- Zkoušení je průběžné - v podobě řešení domácích úkolů. Návštěva přednášek je doporučená.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course is taught annually.
The course is taught: every other week.
- Enrolment Statistics (spring 2012 - acreditation, recent)
- Permalink: https://is.muni.cz/course/sci/spring2012-acreditation/Bi7921