Bi7920 Analysis of biological data

Faculty of Science
spring 2012 - acreditation

The information about the term spring 2012 - acreditation is not made public

Extent and Intensity
0/2/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
Teacher(s)
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
Biostatistics, knowledge on using R (basic mathematic operations and production of graphs)
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 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30
fields of study / plans the course is directly associated with
there are 12 fields of study the course is directly associated with, display
Course objectives
This lecture aims to show analyses of biological data using modern linear methods, mainly General Linear Models and Generalised Linear Models within R. At the end of this course the student should be able to apply approprite model of univariate statistics to the data.
Syllabus
  • 1) Introduction: Why we use software R? 2) Exploratory data analysis: Data frames. Tables and graphs. Moments. 3) Experimental design: full random, latin squares, replications, control. 4) Statistical modeling. Distributions. 5) Analysis of data from normal distribution. 6) Analysis of data from lognormal and gamma distribution. 7) Analysis of data from Poisson distribution. 8) Analysis of data from negative-binomial distribution. 9) Analysis of data from binomial and binary distribution.
Literature
  • CRAWLEY, Michael J. Statistics : an introduction using R. Chichester: John Wiley & Sons, 2005, xiii, 327. ISBN 0470022973. info
Teaching methods
Lectures and homeworks.
Assessment methods
The lectures include analysis of examples of biological data. After each lecture students have to make a homework, therefore the attendance of lectures is necessary. The examination is based on the quality of homeworks.
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course is taught annually.
The course is taught: every other week.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Spring 2011 - only for the accreditation, Autumn 2002, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.