Core module "Systems biology" (12 C, 14 SWS) [M.Bio.310]

Learning outcome: Biomolecular networks, like networks of metabolic signaling and transduction will be introduced and various graph based abstractions of interaction networks will be demonstrated (entity interaction graph, boolean networks, Petri networks). The students will get to know basics of the graph theory (analysis of paths, cluster coefficients, centrality, etc.) and they will learn how to apply the respective theory to biomolecular networks. The students will be introduced to different high-throughput techniques and their application to biomolecular networks. The simulation of molecular networks will be presented by selected examples.

Core skills: Subject of this module are the formal description, modeling, analysis and simulation of complex interactions between the components (molecules, cells, organs) of living systems on different levels of abstraction.


Courses and examinations
1. Lecture »Bioinformatics of systems biology« (2 SWS)
2. Tutorials »Bioinformatics of systems biology« (2 SWS)
3. Seminar »Bioinformatics of systems biology« (1 SWS)
4. Methods course »Modelling and analysis of biological systems« (3 weeks full time; 10 SWS)

Prerequisite for examination: regular attendance in seminar, tutorials and methods course, oral presentation (30 min)

Examinations: oral examination about lecture topics (30 minutes)

Selection options
elective-compulsory

Admission requirements
cannot be combined with module M.Bio.340

Number of repeat examinations permitted
Twice

Module applicable in the following degree programmes
MA Developmental, Neural, and Behavioral Biology
MA Applied Informatics

Course frequency: Academic Term Lecture each summer semester, practical training variable

Duration
One semester

Language
English; German in agreement with participants

Maximum number of students
10

Workload: 360 h (147/213 h, Attendance time/Self-study time)

Person responsible for module
Prof. Dr. Tim Beißbarth