MLU
BIO.07670.03 - Compulsory module 'Statistics in Biodiversity Sciences' (Complete module description)
Original version English
BIO.07670.03 5 CP
Module label Compulsory module 'Statistics in Biodiversity Sciences'
Module code BIO.07670.03
Semester of first implementation
Faculty/Institute Institut für Biologie
Module used in courses of study / semesters
  • Biodiversity Sciences (MA120 LP) (Master) > Biologie BiodiversityMA120, Version of accreditation valid from SS 2021 > Pflichtmodule
Responsible person for this module
Further responsible persons
Professors of the Institute of Biology
Prerequisites
Skills to be acquired in this module
  • Proficiently manage and analyse biodiversity data using the statistical programming language R, including data cleaning, manipulation and visualization.
  • Demonstrate a solid understanding of the theoretical principles behind univariate and multivariate statistical methods commonly used in biodiversity sciences and apply these methods to analyse and interpret biodiversity data.
  • Effectively communicate biodiversity data and statistical analyses through data visualization techniques, to effectively convey complex information to diverse audiences.
Module contents
  • Introduction to the R statistical environment
  • Descriptive statistics and basics of statistical testing
  • Analysis of variance; linear regression; multiple regression; ANCOVA
  • Generalized linear models
  • Linear mixed-effects models and generalized linear mixed effects models
  • Multivariate statistics
  • Spatial statistics
  • Bayesian statistics
  • Interaction networks
  • Structural equation models
Forms of instruction Lecture (2 SWS)
Exercises (2 SWS)
Course
Languages of instruction German, English
Duration (semesters) 2 Wochen Semester
Module frequency jedes Wintersemester
Module capacity unlimited
Time of examination
Credit points 5 CP
Share on module final degree Course 1: %; Course 2: %; Course 3: %.
Share of module grade on the course of study's final grade 1
Reference text
The compulsory modules require physical presence. In case of inability to attend (due to illness or other reasons) the lecturer must be notified promptly.
To earn course credits, students must not exceed a 10% absence, equivalent to missing one day in a two weeks block module. In case of a longer absence there might be the possibility to compensate for missed days by additional tasks.
Module course label Course type Course title SWS Workload of compulsory attendance Workload of preparation / homework etc Workload of independent learning Workload (examination and preparation) Sum workload
Course 1 Lecture Vorlesung 2 0
Course 2 Exercises Übung 2 0
Course 3 Course Selbststudium 0
Workload by module 150 150
Total module workload 150
Examination Exam prerequisites Type of examination
Course 1
Course 2
Course 3
Final exam of module
Hausarbeit
Exam repetition information
Prerequisites and conditions Prerequisites Frequency Compulsory attendance Share on module grade in percent
Course 1 Winter semester No %
Course 2 Winter semester No %
Course 3 Winter semester No %