Within the colloquium researchers from within the ZeSt as well as external guests present their research results. This provides a first impression on the current topics of research to the students.
The dates, speakers and titles can be found at:
https://www.uni-bielefeld.de/einrichtungen/zest/kolloquium-des-zest/aktuelle-vortrage/
In order to obtain the Studienleistung students compile a short (2-3 pages) summary of one attended talk. The summary shall contain a short summary of the content as well as a personal appreciation of the talk both in terms of content and in terms of presentation form. The second part explicitly shall contain own ideas of the students on the research topic or of the presentation itself respectively.
ATTENTION: This course is only for students wanting credits within the module 31-SW-AKStat and for PhD students with profile "Data Science".
Thus in particular, students of the master program "Data Science" need to choose the course 316103 "Kolloquium "Zentrum für Statistik" (Ko) (SoSe 2024)" to get credits.
The reports are to be submitted by September 30, 2024 by uploading the pdf in the Lernraum.
Frequency | Weekday | Time | Format / Place | Period | |
---|---|---|---|---|---|
every two weeks | Di | 12-13 | W9-109 | 08.04.-19.07.2024 |
Module | Course | Requirements | |
---|---|---|---|
31-SW-AKStat Ausgewählte Kapitel der Statistik | Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 1 LP | Study requirement
|
Student information |
Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 1 LP | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
---|---|---|---|---|---|---|---|
Economics and Management (BiGSEM) / Promotion | Data Science; Colloquia & Research Seminars | 2 |
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: