Universität Wien FIND
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300362 UE Applied Data Analysis (2022S)

10.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

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

Thursday 17.03. 15:00 - 16:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1 (Kickoff Class)
Monday 25.04. 08:00 - 13:00 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
Monday 25.04. 13:15 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Wednesday 27.04. 08:00 - 14:45 Seminarraum 1.7, Biologie Djerassiplatz 1, 1.010, Ebene 1
Wednesday 27.04. 15:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Friday 29.04. 08:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Monday 02.05. 08:00 - 13:00 Seminarraum 1.4, Biologie Djerassiplatz 1, 1.013, Ebene 1
Monday 02.05. 13:15 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Tuesday 03.05. 08:00 - 13:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
Tuesday 03.05. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Thursday 05.05. 08:00 - 18:15 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
Monday 09.05. 08:00 - 13:00 Seminarraum 1.5, Biologie Djerassiplatz 1, 1.012, Ebene 1
Monday 09.05. 13:15 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Tuesday 10.05. 08:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Thursday 12.05. 08:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Friday 13.05. 08:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, 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


Association in the course directory

MES6, MMEI III, MGE III-2, MMB W-2, MMB W-3, M-WZB

Last modified: Th 17.03.2022 10:09