In the "Reading Course", students should gain an insight into current statistical topics and work through the relevant subject area under the guidance of a supervisor using specialised literature.
This module focuses on independent familiarisation with various subject areas. In the "Reading Course", students should learn to deal with new statistical research areas and to work on topics independently.
WiSe 2025/26: We will closely examine a book (title to be announced soon), most likely focusing on a topic related to Bayesian statistics. Practical work using R will also be an integral part of the course. Together, we will explore the book’s content to deepen our understanding of statistical methods through independent study and group discussions. In each session, students will present a chapter of the book, followed by a group discussion.
Basic knowledge of R would be helpful but is not strictly required.
tba
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum | |
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wöchentlich | Do | 16-18 | W9-109 | 13.10.2025-06.02.2026 |
Modul | Veranstaltung | Leistungen | |
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31-SW-AKStat Ausgewählte Kapitel der Statistik | Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | benotete Prüfungsleistung
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Studieninformation |
Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | benotete Prüfungsleistung
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Studieninformation | |
Veranstaltung aus dem Bereich Statistik oder einem methodisch verbundenen Gebiet 4 LP | benotete Prüfungsleistung
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Studieninformation | |
31-SW-StaFo Forschung in der Statistik | Reading Course | benotete Prüfungsleistung
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Studieninformation |
Die verbindlichen Modulbeschreibungen enthalten weitere Informationen, auch zu den "Leistungen" und ihren Anforderungen. Sind mehrere "Leistungsformen" möglich, entscheiden die jeweiligen Lehrenden darüber.
Studiengang/-angebot | Gültigkeit | Variante | Untergliederung | Status | Sem. | LP | |
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Economics and Management (BiGSEM) / Promotion | Economics; Field Courses | 4 | |||||
Economics and Management (BiGSEM) / Promotion | Finance; Field Courses | 4 | |||||
Economics and Management (BiGSEM) / Promotion | Management; Electives | 4 | |||||
Economics and Management (BiGSEM) / Promotion | Data Science; Electives | 4 | |||||
Studieren ab 50 |