PHA.03535.02 | 5 CP |
---|---|
Module label | Optimization of bioprocesses |
Module code | PHA.03535.02 |
Semester of first implementation | |
Faculty/Institute | Institut für Pharmazie |
Module used in courses of study / semesters |
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Responsible person for this module | |
Further responsible persons |
Dr. N. Volk |
Prerequisites | Modul D: Introduction to Bioprocess Technology (Upstream Processing) |
Skills to be acquired in this module | Knowledge of mathematical modeling to optimization of bioprocesses Foundations in the use of simulations languages Using tools to identification, simulation and optimization Application of models to optimization of bioprocesses Knowledge of planning and preparation of bioreactor cultivations Laboratory scale development of strategies for optimal bioprocessing technologies Experience in the use of bioprocess cultivation techniques Practical experience in the preparation and implementation of fermentations Analyze and validate of results of fermentations |
Module contents | Course E.1: Modeling and simulation Principles of bioprocess modeling and optimization Modeling concepts for biological systems and bioreactors Dynamic modeling of bioreactors Introduction in simulation language (MATLAB, Copasi, Celldesigner) Case studies to simulation Optimization of bioprocesses Case studies to optimization Course E.2: Control of bioreactor cultivations Planning of a bioreactor cultivation process Mathematical simulation of the process Preparation of the bioprocess techniques and analytics Experimental realization of the cultivation process Analyze and validate the results Identification of a model from the results Describe and analyze the process |
Forms of instruction |
Practical training (2 SWS)
Lecture (1 SWS) Seminar (1 SWS) Seminar (1 SWS) Course |
Languages of instruction | German, English |
Duration (semesters) | 1 Semester Semester |
Module frequency | jedes Sommersemester |
Module capacity | unlimited |
Time of examination | |
Credit points | 5 CP |
Share on module final degree | Course 1: %; Course 2: %; Course 3: %; Course 4: %; Course 5: %. |
Share of module grade on the course of study's final grade | 1 |
Module course label | Course type | Course title | SWS | Workload of compulsory attendance | Workload of preparation / homework etc | Workload of independent learning | Workload (examination and preparation) | Sum workload |
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Course 1 | Practical training | Control of bioreactor cultivations | 2 | 0 | ||||
Course 2 | Lecture | Modeling and Simulation | 1 | 0 | ||||
Course 3 | Seminar | Modeling and Simulation | 1 | 0 | ||||
Course 4 | Seminar | Control of bioreactor cultivations | 1 | 0 | ||||
Course 5 | Course | Selbststudium | 0 | |||||
Workload by module | 150 | 150 | ||||||
Total module workload | 150 |
Examination | Exam prerequisites | Type of examination | |
---|---|---|---|
Course 1 | |||
Course 2 | |||
Course 3 | |||
Course 4 | |||
Course 5 | |||
Final exam of module | 1 attestation, 1 protocol, 5 exercises |
Klausur |
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Exam repetition information |
Prerequisites and conditions | Prerequisites | Frequency | Compulsory attendance | Share on module grade in percent |
---|---|---|---|---|
Course 1 | Summer semester | No | % | |
Course 2 | Summer semester | No | % | |
Course 3 | Summer semester | No | % | |
Course 4 | Summer semester | No | % | |
Course 5 | Summer semester | No | % |