Universität Wien

280495 SE Consolidation module: Astronomy and Big Data (PI) (2016W)

Continuous assessment of course work

Zeit: Fr 12:00 - 13:30
Ort: Seminarraum 2 Univ. Sternwarte

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. 30 participants
Language: German, English

Lecturers

Classes

Currently no class schedule is known.

Information

Aims, contents and method of the course

Within this seminar, we will deal with "Data Mining" and "Data Handling of Big Data" in Astronomy. Primarily, we will concentrate ourselves on the ESO Science Archive Facility (http://archive.eso.org) and the Mikulski Archive for Space Telescopes (MAST, http://archive.stsci.edu/). Several different problems and topics will be tackled. How are all data for a single or a group of objects retrieved? How can these data be reduced and analysed? Several methods and tools in that respect will be presented. In addition, a specific project will be executed from the planing phase until the actual publication. For the seminar, we recommend the book "Data-Rich Astronomy: Mining Synoptic Sky Surveys" by Stefano Cavuoti (2015, LAP LAMBERT, Academic Publishing).

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

Reading list


Association in the course directory

Last modified: Mo 07.09.2020 15:42