Seminar: Best Practice Methods of Privacy and Ethics in Data Science - Details

Seminar: Best Practice Methods of Privacy and Ethics in Data Science - Details

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General information

Course name Seminar: Best Practice Methods of Privacy and Ethics in Data Science
Subtitle
Course number 868654
Semester WiSe 2024/25
Current number of participants 34
maximum number of participants 40
Home institute Institut für Methoden und methodologische Grundlagen der Sozialwissenschaften
Courses type Seminar in category Teaching
First date Wednesday, 23.10.2024 08:00 - 10:00, Room: (KWZ 0.603 (KWZ))
Type/Form
Performance record →Ab hier automatisch erfasste Informationen / Beyond this point, the information is filled in automatically←

Prüfungsleistung(en) je Modul / Exam details per module:

* [(M.Inf.2101.Mp) Best Practice Methods of Privacy and Ethics in Data Science][1]
* Abgabe Hausarbeit: Sa, 15.03.2025

[1]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=35724&periodId=277

Rooms and times

(KWZ 0.603 (KWZ))
Wednesday: 08:00 - 10:00, weekly (14x)

Fields of study

Module assignments

Admission settings

The course is part of admission "Beschränkte Teilnehmendenanzahl: Best Practice Methods of Privacy and Ethics in Data Science".
The following rules apply for the admission:
  • A defined number of seats will be assigned to these courses.
    The seats will be assigned in order of enrolment.

Registration mode

After enrolment, participants will manually be selected.

Welcome to the lecture & seminar "Best Practice Methods". We might need to limit the number of participants, hence your enrolment to the course is preliminary. If more participants register than expected, we'll follow the formal rules as defined by the Examination Regulations, see §8 at https://www.uni-goettingen.de/en/version+am+i+22/30.06.2023/678167.html. However, in the last years, we didn't need to make use of these regulations. And we think this is true for this year, as well.