Universität Wien

300362 UE Applied Data Analysis (2020S)

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

Vorbesprechung/Preliminary meeting:
25.03.2020 um/at 13:30 Uhr im/in COSB Seminarraum
(Biozentrum Althanstraße 14, 1090 Wien)
The course is planned for 10 days total over the course of 4 weeks of half-day lecturing and supervised project work/discussion beginning around April 20th till mid May.

Wednesday 25.03. 13:30 - 14:30 COSB-Seminarraum
Monday 20.04. 09:00 - 17:00 COSB-Seminarraum
Tuesday 21.04. 09:00 - 12:00 Konferenzraum
Tuesday 21.04. 12:00 - 17:00 Übungsraum 2
Monday 27.04. 09:00 - 17:00 COSB-Seminarraum
Tuesday 28.04. 09:00 - 12:00 Konferenzraum
Tuesday 28.04. 12:00 - 17:00 Übungsraum 2
Thursday 30.04. 09:00 - 17:00 Übungsraum 2
Monday 04.05. 09:00 - 17:00 COSB-Seminarraum
Thursday 07.05. 09:00 - 17:00 Übungsraum 2
Monday 11.05. 09:00 - 17:00 COSB-Seminarraum
Tuesday 12.05. 09:00 - 12:00 Konferenzraum
Tuesday 12.05. 12:00 - 17:00 Übungsraum 2
Thursday 14.05. 09:00 - 17:00 Übungsraum 2

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, 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

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.
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%).

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: Sa 22.10.2022 00:30