Universität Wien

301351 UE UE to Quantitative Methods in molekularbiology (2024W)

2.00 ECTS (2.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle
Tu 17.12. 15:00-17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien

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. 46 participants
Language: German, English

Lecturers

Classes (iCal) - next class is marked with N

Tuesdays, 15:00 - 17:00
HS A/B, VBC5, 1030 Wien

  • Tuesday 01.10. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 08.10. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 15.10. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 22.10. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 29.10. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 05.11. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 12.11. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 19.11. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 26.11. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 03.12. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 10.12. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 07.01. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 14.01. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 21.01. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien
  • Tuesday 28.01. 15:00 - 17:00 STB/Hörsaal A Campus Vienna Biocenter 5, 1030 Wien

Information

Aims, contents and method of the course

We will start by learning the statistical programming language R. Previous programming experience is not essential but will be helpful.
Then we will address selected topics of the accompanying lectures. We will write short scripts (and run more complex ones) to simulate various data analysis tasks.

A more detailed syllabus is available from Dr. András Aszódi upon request.

Assessment and permitted materials

Permanent assessment of exercise results. We will also have 3 online tests during the course.

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 submitted exercise solutions:
<50%: 5
<62.5%: 4
<75%: 3
<87.5%: 2
>=87.5%: 1

Examination topics

Practical exercises with R-based software.

Reading list

Will be provided during the exercise on the elearning platform.

Association in the course directory

BMB 8

Last modified: Tu 15.10.2024 09:46