316001 Research in Statistical Science (Ko) (SoSe 2024)

Short comment

Die Veranstaltung findet 14-täglich statt.
Aktuelle Informationen zur Veranstaltung und zum Veranstaltungsort finden Sie unter:
http://www.uni-bielefeld.de/zest_kolloquium

Contents, comment

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.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
every two weeks Di 12-13 W9-109 08.04.-19.07.2024

Subject assignments

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  

No more requirements

E-Learning Space

A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:

Registered number: 4
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
SS2024_316001@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_452110894@ekvv.uni-bielefeld.de
Coverage:
4 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Tuesday, December 19, 2023 
Last update times:
Friday, December 15, 2023 
Last update rooms:
Friday, December 15, 2023 
Type(s) / SWS (hours per week per semester)
Ko / 1
Department
Faculty of Business Administration and Economics
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452110894