270127 VU Introduction to metabolic modelling (2022S)
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Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
Wednesday
02.03.
18:00 - 21:00
Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
Wednesday
09.03.
18:00 - 21:00
Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
Wednesday
16.03.
18:00 - 21:00
Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
Wednesday
23.03.
18:00 - 21:00
Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
Wednesday
30.03.
18:00 - 21:00
Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
Wednesday
06.04.
18:00 - 21:00
Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
Information
Aims, contents and method of the course
Assessment and permitted materials
Oral exam (75%) + small scale research project (25%) + home work (bonus points, 4% per home work)
Minimum requirements and assessment criteria
Some knowledge of linear algebra is advantageous and very helpful but not a prerequisite
Examination topics
Content of the lectures
Reading list
Association in the course directory
AN-2
Last modified: Tu 18.10.2022 09:09
(*) Reconstruction of biochemical networks
(*) Stoichiometric networks and their analysis
(*) Applications in biotechnologyAfter successful completion of this course, students
(*) Understand the challenges in mathematical modeling
(*) Know important types of mathematical models
(*) Are able to set up simple reaction network models
(*) Use metabolic models for exploration and strain design
(*) Know various data sources supporting metabolic analyses