BioModule
DE
EN
All modules
User manual
Contact and services
Search parameter
Examination date
Search
Login Employees
Switch to the latest version of the module
Module information
download
Download module as PDF file
Examination number
Abbreviation
Title German
Title English
Coordinator/s (responsible lecturer/s)
Study programme coordinator
Status
Lecturers
Prof. Dr. Oliver Ebenhöh
Semester
Contact and organization
Mode
Mandatory module
Compulsory elective module
Workload
Credit points
Contact time
Self-study
Course components
Practical course: 6 SWS Lectures: 2 SWS
Module window
Group size
Duration
Learning outcomes/skills
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.
Forms of teaching
Lectures and hands-on tutorials, presentations of exercises.
Content
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.
Eligibility
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.
Examination forms
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).
Requirements for the award of credit points for this course
(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
Relevant for following study programs/major
Bachelor Biologie, Bachelor Quantitative Biologie, Bachelor Biologie International
Compatibility with other curricula
Significance of the mark for the overall grade
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)
Course language
( ) German ( ) English ( ) German and English (x) German, English on demand
Additional information
Registration via LSF https://lsf.uni-duesseldorf.de/
Save
Cancel