Modulinformationen

Abkürzung

Modulname Deutsch

Modulname Englisch

Modulverantwortliche/r

Koordinator/in Bachelor Programm

Stand

Dozentinnen/Dozenten

Prof. Dr. Oliver Ebenhöh

Fachsemester

Modulorganisation

Modus

Arbeitsaufwand

Leistungspunkte

Kontaktzeit

Selbststudium

Lehrveranstaltungen

Practical course: 6 SWS
Lectures: 2 SWS

Turnus

Gruppengröße

Dauer

Lernergebnisse/Kompetenzen

The students are able to characterize and describe different types of biological networks. The students are capable of applying basic techniques to analyze the structure of such networks and interpreting the results in a biological context. They can perform network analyses and solve simple problems independently and are able to relate results from different types of analyses. The students learn to work independently on a given topic, read and understand literature, and present their results in a comprehensible presentation.

Lehrformen

Lectures and hands-on tutorials, presentations of exercises.

Inhalt

Lecture:
Structural analysis of metabolic networks:
· Metabolic control theory
· Null space analysis, e.g. reaction correlation coefficients
· Network expansion
· Elementary flux modes and Flux Balance Analysis
Signal transduction networks:
· Transmission efficiency, time and signal amplification
· Structural properties and stability
General analysis methods:
· Graph-based methods, e.g. connectivity
· Hierarchical structures, cluster
· Network motifs
Practical course:
The theoretical foundations will be taught in the lectures before the practical courses. During the practical courses the contents will be complemented by hands-on computer work. The exercises serve in particular to familiarize the students with the programming language Python. During the practical courses, simple algorithms will be implemented and applied to analyze biological networks. Classical works in theoretical biology will be reproduced and investigated in detail.

Teilnahmevoraussetzungen

Formal: All modules of basic studies (1. – 4. Sem.) need to be completed
Content-related: Basic mathematical knowledge, basic experience in any programming lan-guage is helpful.

Prüfungsformen

Learning portfolio consisting of:
(1) skill area knowledge (60% of grade): Written exam (or oral in case of less than 8 participants) on the content of the lectures and practical courses;
(2) Presentation of exercises or seminar talk (40% of grade).

Voraussetzungen für die Vergabe der Leistungspunkte für dieses Modul

(1) Regular and active participation in lectures and practical courses
(2) On-time submission of homework exercises, which must at least fulfill minimal standards
(3) Passing the final examination

Zuordnung zum Studiengang

Bachelor Biologie, Bachelor Quantitative Biologie, Bachelor Biologie International

Verwendung des Moduls in anderen Studiengängen

Stellenwert der Note für die Endnote

The mark given will contribute to the final grade in proper relation to its credits.
9/170 CP (B.Sc. Biologie); 9/186 CP (B.Sc. Biologie International), 9/221 CP (B.Sc. Quantitative Biologie)

Unterrichtssprache

( ) German
( ) English
( ) German and English
(x) German, English on demand

Sonstige Informationen

Registration via LSF https://lsf.uni-duesseldorf.de/