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Lehrveranstaltungen
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Analyse von Paneldaten -
- Dozent/in:
- Florian Meinfelder
- Angaben:
- Vorlesung, 2 SWS, Eine Anmeldung zur Lehrveranstaltung in FlexNow (unter dem Reiter Lehrveranstaltungen!) ist ab Montag, 26.09. (10:00 Uhr) bis spätestens Mittwoch, 12.10. (23:59 Uhr), unbedingt erforderlich! Bei Anmeldeproblemen schreiben Sie bitte eine E-Mail an support.statmath@uni-bamberg.de. Am Donnerstag, den 13.10., erhalten Sie eine E-Mail mit dem Einschreibeschlüssel für den Virtuellen Campus (VC-Kurs). Erstsemesterstudierende des Masters Survey-Statistik erhalten weitere Informationen zur Anmeldung bei der Einführungsveranstaltung am 13./14.10.
- Termine:
- Mi, 14:00 - 16:00, FMA/01.20
Einzeltermin am 9.11.2022, 14:00 - 16:00, FMA/00.08
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Angewandte Statistik am PC -
- Dozentinnen/Dozenten:
- Johanna Zeitler, Florian Meinfelder
- Angaben:
- Übung, 2 SWS, Eine Anmeldung zur Lehrveranstaltung in FlexNow (unter dem Reiter Lehrveranstaltungen!) ist ab Montag, 26.09. (10:00 Uhr) bis spätestens Mittwoch, 12.10. (23:59 Uhr), unbedingt erforderlich! Bei Anmeldeproblemen schreiben Sie bitte eine E-Mail an support.statmath@uni-bamberg.de. Am Donnerstag, den 13.10., erhalten Sie eine E-Mail mit dem Einschreibeschlüssel für den Virtuellen Campus (VC-Kurs).
- Termine:
- Mo, 10:00 - 12:00, RZ/00.05
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Machine Learning for Digitalization and Automatization in Official Statistics? Methodological Perspectives and Challenges -
- Dozentinnen/Dozenten:
- LMU München, Florian Meinfelder
- Angaben:
- Seminar, ECTS: 9, To apply for participation please write an email to support.statmath@uni-bamberg.de before October 19th. Please use the subject "[EMOS Seminar: Student from Bamberg]" and send us your name, your email address at the University of Bamberg and briefly explain your prior knowledge in official statistic and machine learning. To foster discussions and intensive exchange among the students the number of participants is limited.
- Termine:
- Zeit n.V., Online-Meeting
The seminar will start with a first meeting via Zoom on an evening at the end of October/early November (exact dates will be determined in agreement with the participants). There, the different seminar topics are briefly introduced and allocated among the participants. The core part of the seminar with the presentations and discussions will be on some Friday afternoons/Saturdays in late January and early February next year. Regular participation in all meetings and active engagements in the seminar discussions are expected.
- Voraussetzungen / Organisatorisches:
- Florian Dumpert (German Federal Statistical Office, Artificial Intelligence and Big Data Unit)
Thomas Augustin (Foundations of Statistics and Their Applications, LMU Munich)
- Inhalt:
- The seminar discusses methodological aspects of recent developments in machine learning (ML) for digitalization and automatization in official statistics. On the one hand, ML promises excellent opportunities for innovation along the whole statistical production process, from data collection and editing to powerful prediction and even dissemination. On the other hand, it is still an open question to what extent one can reconcile the strongly prediction-oriented ML methods with the quality requirements of official statistics, like transparency, neutrality, and objectivity.
Eligible for the seminar are Master’s students with prior background knowledge in both ML and official statistics.
Students can obtain 9 ECTS credits for a seminar presentation and a term paper or 3 ECTS credits for a shorter presentation.
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