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Module guide WS 2018-2022

Module MA4450 T

Module part: Modeling Biological Systems (MoBST)

Duration:


1 Semester
Turnus of offer:


each winter semester
Credit points:


8
Course of studies, specific field and terms:
  • Master Biophysics 2023 (module part), advanced curriculum, 1st semester
  • Master MES 2020 (module part), mathematics / natural sciences, Arbitrary semester
  • Master Biophysics 2019 (module part), advanced curriculum, 1st semester
  • Master MES 2014 (module part), mathematics / natural sciences, 1st semester
Classes and lectures:
  • Modeling Biological Systems (exercise, 2 SWS)
  • Modeling Biological Systems (lecture, 2 SWS)
Workload:
  • 60 Hours in-classroom work
  • 160 Hours private studies and exercises
  • 20 Hours exam preparation
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
  • exam type depends on main module
Requires:
Responsible for this module:
  • Siehe Hauptmodul
Teachers:
Literature:
  • F. Braer, C. Castillo-Chavez: Mathematical Models in Population Biology - New York: Springer 2000
  • H. Caswell: Matrix Population Models - 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.

Prerequisites for attending the module:
- None (The competences of the required modules are required for this module, but the modules are not a prerequisite for admission.)

Prerequisites for the exam:
- Preliminary examinations can be determined at the beginning of the semester. If preliminary work has been defined, it must have been completed and positively assessed before the initial examination.

Letzte Änderung:
16.11.2021