Universität Wien

301599 UE Laboratory Course: Bioinformatics (2021W)

3.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
MIXED
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. 15 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

One week: 24.01. - 28.01. 2022,
Online course with daily video conference calls for instructions and independent problem solving.

  • Monday 24.01. 09:00 - 12:00 Hybride Lehre
  • Monday 24.01. 13:00 - 17:00 Hybride Lehre
  • Tuesday 25.01. 09:00 - 12:00 Hybride Lehre
  • Tuesday 25.01. 13:00 - 17:00 Hybride Lehre
  • Wednesday 26.01. 09:00 - 12:00 Hybride Lehre
  • Wednesday 26.01. 13:00 - 17:00 Hybride Lehre
  • Thursday 27.01. 09:00 - 12:00 Hybride Lehre
  • Thursday 27.01. 13:00 - 17:00 Hybride Lehre
  • Friday 28.01. 09:00 - 12:00 Hybride Lehre
  • Friday 28.01. 13:00 - 17:00 Hybride Lehre

Information

Aims, contents and method of the course

Application of bioinformatics software and databases in the context of a small research project.
Automation of workflows using Python and Linux shell scripts.
Analysis, interpretation and presentation of research results.
Course material: Worksheets, Jupyter Notebooks.

Assessment and permitted materials

Compulsory attendance in video calls. The evaluation consists of different performances:
- Solving the tasks given in Jupyter Notebooks.
- Active participation during discussions of previous and upcoming tasks.
- Written protocol of the course (Jupyter Notebook) to evaluate the understanding and participation.
- Brief presentation of the final course protocol.

Minimum requirements and assessment criteria

Basic knowledge of Linux Terminal, shell scripts and Python are required. Tutorials and other material for self-study before the start of the course will be provided through the Moodle teaching platform.

Each of the subtasks to evaluate performance must have a positive evaluation. The final grade reflects the overall performance in subtasks.

Examination topics

Reading list

Association in the course directory

MMB W-3, MMB W-2

Last modified: Fr 12.05.2023 00:24