Universität Wien

300362 UE Applied Data Analysis (2026S)

10.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle
Mo 13.04. 08:00-18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1

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: English

Lecturers

Classes (iCal) - next class is marked with N

Initial meeting on March 11th at 3pm at UBB (SR1.2).

  • Wednesday 11.03. 15:00 - 16:30 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1 (Kickoff Class)
  • Wednesday 15.04. 08:00 - 13:00 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Wednesday 15.04. 13:15 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Monday 20.04. 08:00 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Monday 27.04. 08:00 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 28.04. 09:00 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Monday 04.05. 08:00 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Tuesday 05.05. 08:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Wednesday 06.05. 08:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Tuesday 12.05. 09:00 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1
  • Monday 01.06. 08:00 - 18:15 Seminarraum 1.3, Biologie Djerassiplatz 1, 1.005, Ebene 1

Information

Aims, contents and method of the course

In this course we will learn about modern high-throughput methodologies and get hands-on experience with new methods and real data. We will discuss sequencing technology, experiment design, quality control, assembly, read mapping and counting, differential expression analysis, expression profiles and principal components analysis.

Assessment and permitted materials

Exercises will be done throughout the course as a part of a collective analysis.

Minimum requirements and assessment criteria

There are 10 days of the course. Presence on at least 8 days is required. The grade will be based on course participation (20%) and the final report in a form of a scientific paper outlining the aims and analyses completed during the course, as well as potential future directions (80%).
Students are recommended but not required to take 300353 UE Applied programming for Bioinformatics, or have a basic grounding in Unix and BASH shell scripting.

Examination topics

A final report describing the methods used as well as an analysis of the data will be required after completion of the course. Attendance and participation are also graded.

Reading list

Will be provided in the course

Association in the course directory

MES6, MMEI III, M-WZB, MMB IV., MNEU V., MMIC 5

Last modified: Tu 10.03.2026 16:07