Universität Wien
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270151 VU Computational Systems Biology: from enzymes to networks (2023W)

3.00 ECTS (2.00 SWS), SPL 27 - Chemie
Continuous assessment of course work
ON-SITE
Moodle

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

max. 20 participants
Language: German, English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 16.10. 16:00 - 18:30 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Tuesday 17.10. 16:00 - 18:30 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 18.10. 16:00 - 18:30 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
  • Thursday 19.10. 16:00 - 18:30 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Friday 20.10. 16:00 - 18:30 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Monday 20.11. 16:00 - 18:30 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Tuesday 21.11. 16:00 - 18:30 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 22.11. 16:00 - 18:30 Seminarraum 2 Währinger Straße 38 Dekanat 1. Stock
  • Thursday 23.11. 16:00 - 18:30 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Friday 24.11. 16:00 - 18:30 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42

Information

Aims, contents and method of the course

This course will introduce basic concepts in systems biology and mathematical modelling. It will cover network reconstruction, kinetic modelling and constraint-based analysis of biological networks. In addition, you will get an introduction to COPASI to carry out simple computational analyses of various systems (metabolic networks, epidemiological models, signalling networks, gene expression...).

After successful completion of this course, students
(*) Understand the challenges in mathematical modelling
(*) Know important types of mathematical models
(*) Are able to set up simple reaction network models
(*) Run time-course and steady-state simulations in Copasi
(*) Know various data sources supporting metabolic analyses

Assessment and permitted materials

Written exam (50%) + small scale research project (35%) + home work (15% in total, 5% per home work)

Minimum requirements and assessment criteria

Basic biology knowledge
Some familiarity with differential equations is helpful but not a prerequisite

Examination topics

Content of the lectures

Reading list

Slides and related scientific publications will be provided during the course

Association in the course directory

AN-2, BC-1, CHE II-1, BC-3, CH-CBS-05, BC-CHE II-8, Design

Last modified: We 22.11.2023 15:28