After completition of this module, participants will be able to:
- differentiate between different kinds of bioreactors and describe their key features
- identify and characterize the peripheral and control systems of bioreactors
- depict integrated biosystems (bioprocesses including up- and downstream processing)
- name different sterilization methods and evaluate those in terms of different applications
- recall and define the advanced methods of modern systems-biological approaches
- connect the multiple "omics"-methods and evaluate their application for biological questions
- recall the fundamentals of modeling and simulation of biological networks and biotechnological processes and to discuss their methods
- assess and apply methods and theories of genomics, transcriptomics, proteomics and metabolomics in order to quantify and optimize biological processes at molecular and process levels
Pre-requisites:
B.Sc. VT, BVT or equivalent
Learning organisation:
Hybrid lecture
Area classification:
Studiendekanat Verfahrenstechnik
ECTS credit points:
4
Stud.IP informationen about this course:
Home institute: Institut für Bioprozess- u. Biosystemtechnik (V-1)
Registered participants in Stud.IP: 110
Documents: 19
Supervised Theses
ongoing
2024
Ahmed, Taha (2024). Development of an iterative multi-agent coordination framework for congestion prevention in low voltage grids.
Busch, Marcel (2024). Entwicklung eines Netzmodells zur szenarienbasierten Untersuchung von Engpässen in heutigen und zukünftigen städtischen Verteilnetzen.
Lindner, Joost (2024). Entwicklung einer probabilistischen Lastprognose für die Niederspannungsebene elektrischer Verteilnetze.
Ming, Zhao (2024). Conceptual Design for a grid demonstrator for teaching purposes and development of a suitable distribution grid simulation.
Wilke, Jan Jakob (2024). Definition leistungsbasierter Netzregeln zur Engpassvermeidung in elektrischen Verteilnetzen.
completed
2023
Kock am Brink, Jonas (2023). Entwicklung einer Engpassprognose für elektrische Verteilnetze mittels probabilistischer Verfahren.