Universität Wien
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301350 VO Quantitative methods in molekularbiology (2022W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
ON-SITE

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: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 07.10. 08:00 - 09:30 Digital
  • Friday 14.10. 08:00 - 09:30 Digital
  • Friday 21.10. 08:00 - 09:30 Digital
  • Friday 28.10. 08:00 - 09:30 Digital
  • Friday 04.11. 08:00 - 09:30 Digital
  • Friday 11.11. 08:00 - 09:30 Digital
  • Friday 18.11. 08:00 - 09:30 Digital
  • Friday 25.11. 08:00 - 09:30 Digital
  • Friday 02.12. 08:00 - 09:30 Digital
  • Friday 09.12. 08:00 - 09:30 Digital
  • Friday 16.12. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Friday 13.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0
  • Friday 20.01. 08:00 - 09:30 Hörsaal 1, Biologie Djerassiplatz 1, 0.037, Ebene 0

Information

Aims, contents and method of the course

Important quantitative methods in molecular biology, e.g.:DNA sequencing and amplificationMass spectometric methodsArray based methodsBasics in mathematics and bioinformatics, e.g.:Measured data, precision, errors, graphical representationBasic statistics and probabilisticsAnalysis of temporal data

Assessment and permitted materials

Dates of written exam (open-book: all witten/printed material may be used):
27.1.2023 8.00-9.30
March 2023, Biologie Djerassiplatz 1, Date and Room TBA
May 2023, Biologie Djerassiplatz 1, Date and Room TBA
June 2023, Biologie Djerassiplatz 1, Date and Room TBA

Minimum requirements and assessment criteria

Participants will be able to investigate biological questions using molecular biologic data sets using basic mathematical models and statistical methods.

Evaluation scale of written exam:
<50%: 5
<62.5%: 4
<75%: 3
<87.5%: 2
>=87.5%: 1

Examination topics

Presentation and discussion of selected topics. Lecture in German with english materials.

Reading list

Will be provided during the lecture on the elearning platform.

Association in the course directory

BMB 8

Last modified: Th 11.05.2023 11:28