Homepage MLU Halle-Wittenberg
Aktuelle Seite:
Seminar: Foundations of Quantitative Biodiversity Sciences - Details
 
  Foundations of Quantitative Biodiversity Sciences
Persönlicher Status:
Decline Sie sind nicht als TeilnehmerIn der Veranstaltung eingetragen.
Berechtigungen:
Blank Lesen: (Registrierungsmail beachten!)
Blank Schreiben: (Registrierungsmail beachten!)
  Zeit:
Freitag: 12:00 - 16:00, wöchentlich (ab 10.04.2015)
Semester:
SS 2015
  Erster Termin:
Fr., 10.04.2015, 12:00 - 16:00
Vorbesprechung:
keine
  Veranstaltungsort:
Raum 2.25 VSP1
 
  DozentIn:
Prof. Dr. Jonathan Chase (and Prof. Dr. Stan Harpole)
  Veranstaltungstyp:
Seminar in der Kategorie Offizielle Lehrveranstaltungen
 
  Kommentar/Beschreibung:
Biodiversity science is experiencing a ‘Renaissance’ 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 ‘state-of-the-art’. 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 ‘practicums’ 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.

Table of content:
• Biodiversity
• Coexistence
• Theory
• History of science
• Data analysis
• Stability
• Speciation
• Extinction
• Theory
  Studiengänge (für):
Computer Science students
Biology students
Bioinformatics students
1st-3rd semester, elective module, graded, 5/120
  SWS:
2+2
  Sonstiges:
Language: English
  ECTS-Punkte:
5
  Studienbereiche:
 
  Heimat-Einrichtung:
Praktische Informatik (Bioinformatik)
  Anzahl der Teilnehmenden: 6
DozentIn: 1
TutorInnen: keine
Sonstige: 5
Forenbeiträge: keine Dokumente: keine