# 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/).