(*) Leider ist diese Information in Deutsch nicht verfügbar.
Workload
Ausbildungslevel
Studienfachbereich
VerantwortlicheR
Semesterstunden
Anbietende Uni
7,5 ECTS
M2 - Master 2. Jahr
Informatik
Gerhard Widmer
5 SSt
Johannes Kepler Universität Linz
Detailinformationen
Quellcurriculum
Masterstudium Computer Science 2025W
Lernergebnisse
Kompetenzen
(*)Students are able to carry out a non-trivial project in the area of data analysis or machine learning, in a self-responsible and independent manner.
Fertigkeiten
Kenntnisse
(*)Students acquire experience in
reading the data science or machine learning literature (k2);
implementing state-of-the-art data analysis algorithms (k3);
designing and carrying out experiments (k6),
and documenting and critically evaluating the results (k4).
(*)The knowledge comes from the individual courses of the chosen major subject.
Beurteilungskriterien
(*)The evaluation criteria are specified by the teacher at the beginning of the semester. Usually the course is evaluated by continuous project monitoring as well as by a final presentation and possibly a final written report.
Lehrmethoden
(*)Joint discussion of project target; intensive discussion meetings at irregular intervals; joint identification of pertinent literature.
Abhaltungssprache
Englisch
Literatur
(*)Scientific literature, as needed and appropriate.
