230089 SE From Description to Inference: Basic Tools to Learn from Data (2021S)
- Anmeldung von Di 02.02.2021 00:01 bis Mo 22.02.2021 09:00
- Anmeldung von Do 25.02.2021 00:01 bis Fr 26.02.2021 09:00
- Abmeldung bis Sa 20.03.2021 23:59
Termine (iCal) - nächster Termin ist mit N markiert
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
If not explicitly noted otherwise, all requirements mentioned in the grading scheme must be met.
If a required task is not fulfilled, this will be considered as a discontinuation of the course. In that case, the course will be graded as ‘fail’ (5), unless there is a major and unpredictable reason for not being able to fulfill the task on the student's side (e.g. a longer illness).
In such a case, the student may be de-registered from the course without grading.
Whether this exception applies is decided by the lecturer.
If any requirement of the course has been fulfilled by fraudulent means, be it for example by cheating at an exam, plagiarizing parts of a written assignment or by faking signatures on an attendance sheet, the student's participation in the course will be discontinued, the entire course will be graded as ‘not assessed’ and will be entered into the electronic exam record as ‘fraudulently obtained’.
The plagiarism-detection service (Turnitin in Moodle) can be used in course of the grading: Details will be announced by the lecturer.
Mindestanforderungen und Beurteilungsmaßstab
Statistical Methods for the Social Sciences (5th Edition), Agresti
When necessary, other material will be indicated during the course.