Course Schedule
Lehrveranstaltungen
Inferential Statistics II (Vorlesung)
Dozent/in: Sebastian Wallot
Termin:
wöchentlich | Dienstag | 08:30 - 10:00 | 14.10.2024 - 31.01.2025 | C HS 1
Inhalt: Quantitative methods covered in the lecture will be repeated in the seminar and practically applied by means of exercises. For independent consolidation of the methods, the students work on a weekly assignment sheet, which is handed in to the tutor. The practical exercises are done with the free open source software R (http://www.r-project.org/).
Inferential Statistics II - Group A (Übung)
Dozent/in: Sebastian Wallot
Termin:
wöchentlich | Montag | 12:15 - 13:45 | 14.10.2024 - 31.01.2025 | C 12.102 Seminarraum
Inhalt: Quantitative methods covered in the lecture will be repeated in the seminar and practically applied by means of exercises. For independent consolidation of the methods, the students work on a weekly assignment sheet, which is handed in to the tutor. The practical exercises are done with the free open source software R (http://www.r-project.org/).
Inferential Statistics II - Group B (Übung)
Dozent/in: Sebastian Wallot
Termin:
wöchentlich | Montag | 14:15 - 15:45 | 14.10.2024 - 31.01.2025 | C 12.105 Seminarraum
Inhalt: Quantitative methods covered in the lecture will be repeated in the seminar and practically applied by means of exercises. For independent consolidation of the methods, the students work on a weekly assignment sheet, which is handed in to the tutor. The practical exercises are done with the free open source software R (http://www.r-project.org/).
Inferential Statistics II - Group C (Übung)
Dozent/in: Monika Tschense, Sebastian Wallot
Termin:
wöchentlich | Montag | 14:15 - 15:45 | 14.10.2024 - 31.01.2025 | C 12.101 Seminarraum
Inhalt: Quantitative methods covered in the lecture will be repeated in the seminar and practically applied by means of exercises. For independent consolidation of the methods, the students work on a weekly assignment sheet, which is handed in to the tutor. The practical exercises are done with the free open source software R (http://www.r-project.org/).