Universität Wien
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270251 VU Evaluation Strategies of Big Data (2023W)

5.00 ECTS (3.00 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. 15 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 02.10. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 05.10. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 09.10. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 12.10. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 16.10. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 19.10. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 23.10. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 30.10. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 06.11. 10:00 - 10:45 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
  • Thursday 09.11. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 13.11. 10:00 - 10:45 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
  • Thursday 16.11. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 20.11. 10:00 - 10:45 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
  • Thursday 23.11. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 27.11. 10:00 - 10:45 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
  • Thursday 30.11. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 04.12. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 07.12. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 11.12. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 14.12. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 08.01. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 11.01. 13:15 - 14:45 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
  • Monday 15.01. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 18.01. 13:15 - 14:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Monday 22.01. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1
  • Thursday 25.01. 12:15 - 13:45 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
  • Monday 29.01. 10:00 - 10:45 Seminarraum 1 Analytische Chemie 2.OG Boltzmanngasse 1

Information

Aims, contents and method of the course

The identification of a large number of molecules by a single experiment offers fantastic chances, but also requires novel strategies for data evaluation and interpretation. Classical statistical tools may not be sufficient for appropriate conclusions. To get insight into the currently applied methodologies, the basics of mass spectrometric data aquisition, documentation and interpretation will be studied. The results are actually the working materials for the actually relevant functional conclusions. The latest methods of artificial intelligence including Bayesian networks and causal networks will be applied to reach these aims.

Assessment and permitted materials

This lecture includes practical training parts, your cooperation will determine 50% of your evaluation. The other 50% will be determined via a written exam.

Minimum requirements and assessment criteria

A profound understanding of mass spectrometry-based analytical methods is expected and desirable.

Examination topics

Obviously only contents discussed and trained in detail during this course will be subject for examination.

Reading list

Supperting literature will consist of textbooks, free tutorials and training videos, especially regarding MaxQuant/Perseus, Skyline and Bayesian networks.

Association in the course directory

CH-SAS-09, BC-1, CH-FE

Last modified: Fr 10.11.2023 15:28