Universität Wien FIND
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300362 UE Applied Data Analysis (2019S)

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

Verpflichtende Vorbesprechung/ Compulsory preliminary meeting am 10.04.2019 um 12 Uhr im COSB Seminarraum, Biozentrum Althanstraße 14, 1090 Wien
The course is planned for 10 days total over the course of 3 weeks of half-day lecturing and supervised project work/discussion beginning sometime soon after Easter, depending on the time requirements of the majority of participants.

Wednesday 10.04. 12:00 - 13:00 COSB Seminarraum, UZA 1, Biozentrum Althanstraße 14, 2.022 2.OG
Monday 29.04. 10:00 - 18:00 COSB Seminarraum, UZA 1, Biozentrum Althanstraße 14, 2.022 2.OG
Tuesday 30.04. 10:00 - 18:00 Übungsraum 2, UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.010 1.OG
Thursday 02.05. 10:00 - 18:00 Übungsraum 2, UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.010 1.OG
Friday 03.05. 10:30 - 18:30 Konferenzraum der Zoologie, UZA 1,Biozentrum Althanstraße 14, 1.015 EG
Monday 06.05. 10:00 - 18:00 COSB Seminarraum, UZA 1, Biozentrum Althanstraße 14, 2.022 2.OG
Tuesday 07.05. 10:00 - 18:00 Übungsraum 3, UZA 1, Biozentrum Althanstraße 14, Morphologie Z2.012 1.OG
Friday 10.05. 10:30 - 18:30 Konferenzraum der Zoologie, UZA 1,Biozentrum Althanstraße 14, 1.015 EG
Monday 13.05. 09:00 - 16:00 Konferenzraum der Zoologie, UZA 1,Biozentrum Althanstraße 14, 1.015 EG
Friday 17.05. 10:30 - 18:30 Konferenzraum der Zoologie, UZA 1,Biozentrum Althanstraße 14, 1.015 EG
Monday 20.05. 09:00 - 16:00 Konferenzraum der Zoologie, UZA 1,Biozentrum Althanstraße 14, 1.015 EG

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.

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: Fr 01.10.2021 00:25