280498 SE PM-Astr Data mining and processing (PI) (2017W)
Continuous assessment of course work
Labels
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).
- Registration is open from Th 14.09.2017 10:00 to Th 28.09.2017 23:59
- Registration is open from Tu 03.10.2017 10:00 to Th 19.10.2017 23:59
- Deregistration possible until Th 19.10.2017 23:59
Details
max. 25 participants
Language: German, English
Lecturers
Classes (iCal) - next class is marked with N
Friday
06.10.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
20.10.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
03.11.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
17.11.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
01.12.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
15.12.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
12.01.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
19.01.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Friday
26.01.
11:30 - 14:45
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
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
"Data-Rich Astronomy: Mining Synoptic Sky Surveys" by Stefano Cavuoti (2015, LAP LAMBERT, Academic Publishing)
Association in the course directory
Last modified: Mo 07.09.2020 15:42