202.647 Mathematical Systems Biology
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VO, 1.0h, 1.5EC
TUWEL

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to describe complex biological processes or specific aspects thereof by means of simple mathematical models. Furthermore, students are capable of applying analytical and/or numerical methods in order to solve the arsing (systems of) equations, and of interpreting the results in the overall context.

Subject of course

  • Definition of the term "systems biology"
  • Mathematical methods for treatment of complex biological systems (theory and examples)
  • Influence of the mechanical loading on biological systems (theory and examples)
  • Introduction of approaches for utilization of experimental evidence for development of models by means of case studies

Teaching methods

Lecture supported by digital presentations; discussion of case studies.

Mode of examination

Written

Additional information

 

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri10:00 - 11:0014.10.2022Hörsaal 6 - RPL Vorbesprechung
Fri10:00 - 12:0004.11.2022Hörsaal 6 - RPL Vorlesung
Fri10:00 - 12:0011.11.2022Hörsaal 6 - RPL Vorlesung
Fri10:00 - 12:0018.11.2022Hörsaal 6 - RPL Vorlesung
Fri10:00 - 12:0025.11.2022Hörsaal 6 - RPL Vorlesung
Fri12:00 - 16:0016.12.2022HS 7 Schütte-Lihotzky - ARCH Vorlesung

Examination modalities

Written homework and (upon request) oral discussion

Course registration

Begin End Deregistration end
07.09.2022 08:00 27.01.2023 08:00 27.01.2023 08:00

Curricula

Study CodeObligationSemesterPrecon.Info
033 201 Technical Mathematics Mandatory elective
066 453 Biomedical Engineering Elective
066 453 Biomedical Engineering Mandatory
860 GW Optional Courses - Technical Mathematics Not specified

Literature

No lecture notes are available.

Previous knowledge

Basic mathematical knowledge

Language

English