[ 921DASIDASS17 ] SE (*)Seminar in Data Science
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| Es ist eine neuere Version 2022W dieser LV im Curriculum Masterstudium Wirtschaftsinformatik 2024W vorhanden. |
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| (*) Leider ist diese Information in Deutsch nicht verfügbar. |
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| Workload |
Ausbildungslevel |
Studienfachbereich |
VerantwortlicheR |
Semesterstunden |
Anbietende Uni |
| 3 ECTS |
M1 - Master 1. Jahr |
Informatik |
Gerhard Widmer |
2 SSt |
Johannes Kepler Universität Linz |
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| Detailinformationen |
| Quellcurriculum |
Masterstudium Computer Science 2021W |
| Ziele |
(*)Seminars guide students to do scientific work. In particular, they learn
- to work independently on a scientific topic in Data Science
- to do literature research
- to write a seminar report according to scientific standards
- to give a presentation and to defend it
- to discuss the presentations of other participants
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| Lehrinhalte |
(*)Topics depend on the subtitle of the seminar. Students have to select a subtopic of the seminar and work on it independently. They have to do literature research, write a seminar report and give a presentation.
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| Beurteilungskriterien |
(*)Seminars are marked by assessing the seminar report, the presentation, and the participation in discussions.
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| Lehrmethoden |
(*)Independent literature research; submission of a written seminar report; presentation of the chosen seminar topic in a talk to other students.
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)Basic literature is provided by the seminar instructor, but students should also do independent literature research.
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| Lehrinhalte wechselnd? |
Ja |
| Sonstige Informationen |
(*)None
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| Präsenzlehrveranstaltung |
| Teilungsziffer |
15 |
| Zuteilungsverfahren |
Direktzuteilung |
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