DE / EN

IS 723: Seminar Data-Science II

Lerninhalte
The achievement of the learning goals is pursued by practicing on the basis of personally assigned in-depth scientific topics as well as by actively participating in the presentation dates. The organizer will choose subject areas within the field of Data-Science and provide scientific papers to students to work through.

Lern- und Qualifikations­ziele
Skills: On the basis of suitable literature, in particular original scientific articles, students independently familiarize themselves with a topic in data-science, classify and narrow down the topic appropriately and develop a critical evaluation. Students work out concepts, procedures and results of a given topic clearly and with appropriate formalisms in a timely manner and to a defined extent in depth in writing; Evidence of independent development by presenting self-selected examples. Descriptive oral presentation of an in-depth data science topic using suitable media and examples in a given format

Notwendige Voraussetzungen

Inhaltliche Voraussetzungen
lectures offered by the chair

LehreSelbststudium
Seminar2 SWS15 SWS
ECTS6
SpracheEnglisch
Prüfungs­form und -umfangWritten report (60%) with oral presentation (40%)
Zulassungs­beschränktJa
Informationen zur AnmeldungWebsite of the chair
Geprüft durch
Durchführende Lehr­kraft
Prof. Dr. Markus Strohmaier
Prof. Dr. Markus Strohmaier, Marlene Lutz
AngebotsturnusFrühlings-/Sommersemester
Dauer des Moduls 1 Semester
VerwendbarkeitM.Sc. MMM, M.Sc. WiPäd
Vorleistungen
Programm­spezifische KompetenzzieleCG 4
Benotung Ja
LiteraturDepending on the assigned topics.
GliederungThe seminar will kick off with an assignment of subtopics in data-science, afterwards students will work through papers and related literature. A written report is produced and the work is presented and discussed in joint meetings.