Module MA4450

Modeling Biological Systems (MoBS)


Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

  • Master MES 2011, optional subject, mathematics
  • Master MES 2011, advanced curriculum, biophysics and biomedical optics
  • Master Computer Science 2012, compulsory, specialization field bioinformatics
  • Master Computer Science 2012, optional subject, advanced curriculum organic computing

Classes and lectures:

  • Modeling Biological Systems (exercise, 1 SWS)
  • Modeling Biological Systems (lecture, 2 SWS)

Workload:

  • 10 hours exam preparation
  • 45 hours in-classroom work
  • 65 hours private studies and exercises

Contents of teaching:

  • Elementary time-discrete deterministic models
  • Structured time-discrete population dynamics
  • Generating functions, Galton-Watson-processes
  • Modeling of data and data analysis

Qualification-goals/Competencies:

  • Students have knowledge of elementary time-discrete models for modeling biological processes
  • They develop skills in connecting ideas from different fields of mathematics
  • They have competencies in data analysis and modelling
  • They develop competencies in interdisciplinary work

Grading through:

  • Exercises
  • written exam

Literature:

  • F. Braer, C. Castillo-Chavez : Mathematical Models in Population Biology and Epidemiology New York: Springer 2000
  • H. Caswell : Matrix Population Modells Sunderland: Sinauer Associates 2001
  • S. N. Elaydi : An Introduction to Difference Equations New York: Springer 1999
  • B. Huppert : Angewandte Lineare Algebra Berlin: de Gruyter 1990
  • U. Krengel : Einführung in die Wahrscheinlichkeitstheorie und Statistik Wiesbaden: Vieweg 2002
  • E. Seneta : Non-negative Matrices and Markov Chains New York: Springer 1981

Language:

  • offered only in German

Notes:

The lecture is identical to that in module MA4450-MML. For students in the master Infection Biology programme, this is not a stand-alone module, but rather part of module CS4011.

Last Updated:

16.11.2021