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Module guide

Module MA4450 T-INF

Module part: Modeling Biological Systems (MoBSa)

Duration:


1 Semester
Turnus of offer:


each winter semester
Credit points:


4
Course of studies, specific field and terms:
  • Master Computer Science 2019 (module part), module part, arbitrary semester
  • Master Entrepreneurship in Digital Technologies 2020 (module part), module part, arbitrary semester
  • Master Medical Informatics 2019 (module part), module part, arbitrary semester
  • Master Medical Informatics 2014 (module part), module part, arbitrary semester
  • Master Computer Science 2014 (module part), module part, arbitrary semester
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
  • Markov chains with applications
  • 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:
  • Prof. Dr. rer. nat. Karsten Keller
Teachers:
  • Prof. Dr. rer. nat. Karsten Keller
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:

Is part of CS4441.
The lecture is identical to that in module MA4450-MML.

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:
29.11.2019