Studienhandbuch | SE Seminar in Data Science

Inhalt

^(*) Leider ist diese Information in Deutsch nicht verfügbar.

Workload	Ausbildungslevel	Studienfachbereich	VerantwortlicheR	Semesterstunden	Anbietende Uni
3 ECTS	M2 - Master 2. Jahr	Informatik	Gerhard Widmer	2 SSt	Johannes Kepler Universität Linz

Detailinformationen

Quellcurriculum

Masterstudium Computer Science 2025W

Lernergebnisse

Kompetenzen
^(*)Students are able to independently acquire knowledge and insights in the scientific field of the specific seminar topic.

Fertigkeiten	Kenntnisse
^() Get familiar with a scientific topic in an independent way (K2, K4, K5) Do independent literature research (K4, K5) * Critically evaluate existing approaches in the area of the seminar topic and possibly suggest alternative solutions (K4, K5, K6) * Write a seminar report according to scientific standards (K6) * Give a presentation and defend it (K6) * Discuss the presentations of other participants (K3, K5)	^(*)Knowledge about literature search, structuring, and presentation is obtained by discussion with teachers and active doing; knowledge about the field that is the subject of the seminar is acquired by independent literature research.

Beurteilungskriterien

^(*)Seminars are marked by assessing the seminar report, the presentation, and the participation in discussions.

Lehrmethoden

^(*)Independent literature research; preparation of a written seminar report; presentation of the chosen seminar topic in a talk to other students.

Abhaltungssprache

Englisch

Literatur

^(*)Basic information about literature search etc. is provided by the seminar instructor, but then students must do independent literature research.

Lehrinhalte wechselnd?

Sonstige Informationen

^(*)None

Präsenzlehrveranstaltung
Teilungsziffer	15
Zuteilungsverfahren	Direktzuteilung