MLU
INF.05956.02 - Foundations of Quantitative Biodiversity Science (Complete module description)
Original version English
INF.05956.02 5 CP
Module label Foundations of Quantitative Biodiversity Science
Module code INF.05956.02
Semester of first implementation
Faculty/Institute Institut für Informatik
Module used in courses of study / semesters
  • Bioinformatik (MA120 LP) (Master) > Bioinformatik BioinformatikMA120, Version of accreditation (WS 2009/10 - SS 2016) > Bioinformatik
  • Bioinformatik (MA120 LP) (Master) > Bioinformatik BioinformatikMA120, Version of accreditation (WS 2016/17 - WS 2022/23) > Bioinformatik (HI)
  • Informatik (MA120 LP) (Master) > Informatik InformatikMA120, Version of accreditation (WS 2013/14 - SS 2016) > Vertiefende Module der Vertiefungsrichtung `Bioinformatik`
  • Informatik (MA120 LP) (Master) > Informatik InformatikMA120, Version of accreditation (WS 2016/17 - WS 2022/23) > Vertiefende Module der Vertiefungsrichtung `Bioinformatik`
Responsible person for this module
Further responsible persons
Prof. Jonathan Chase/Dr. Annabell Berger
Prerequisites
Skills to be acquired in this module
  • Biodiversity science is experiencing a %u2018Renaissance%u2019 and is poised to address some of the most critical problems facing humanity in an increasingly human dominated world. Recent advances in biodiversity science lie at the nexus of complexity theory, data collation and pattern analysis at the global scale, and connections to socio-economic systems, epidemiology, and (meta) genomics. Clearly, the next generation of biodiversity scientists will need be adept at a diversity of complex quantitative approaches. However, equally necessary, though often overlooked, is that prudent use of these quantitative tools will require an in depth understanding of the conceptual and theoretical foundations of the discipline.
This course will trace the development of major concepts and approaches in biodiversity science. Readings will include foundational pieces by Darwin, Lotka, Volterra, Elton, Lindeman, Hutchinson and MacArthur, and others, as well as more contemporary studies that represent the %u2018state-of-the-art%u2019. The role of theory will be emphasized throughout, building on a set of foundational principles, including evolutionary process, thermodynamics and stoichiometry, birth-death processes, network theory and probability. In addition to reading and discussion, course work will include laboratory %u2018practicums%u2019 centered on incorporating these foundational principles into computational models (using the R program for statistical computing) that form the basis for addressing complex biodiversity problems.
Module contents
  • Biodiversity
  • Coexistence
  • Theory
  • History of science
  • Data analysis
  • Stability
  • Speciation
  • Extinction
Forms of instruction Lecture (2 SWS)
Practical training (2 SWS)
Course
Course
Languages of instruction German, English
Duration (semesters) 1 Semester Semester
Module frequency nicht festlegbar
Module capacity unlimited
Time of examination
Credit points 5 CP
Share on module final degree Course 1: %; Course 2: %; Course 3: %; Course 4: %.
Share of module grade on the course of study's final grade 1
Reference text
The module will be held as block course, in general.
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 Lecture 2 0
Course 2 Practical training Practice 2 0
Course 3 Course Independent studies 0
Course 4 Course Exam preparation 0
Workload by module 150 150
Total module workload 150
Examination Exam prerequisites Type of examination
Course 1
Course 2
Course 3
Course 4
Final exam of module
Oral examination
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 %
Course 4 Winter semester No %