Zur Merkliste hinzufügen
Zurück

 

56589-01 - Blockkurs: Ethical, Legal, and Societal Implications of Big Data and Data Analytics 2 KP

Semester Herbstsemester 2019
Angebotsmuster unregelmässig
Dozierende Markus Krajewski (markus.krajewski@unibas.ch)
Christine Möhrke-Sobolewski (christine.moehrke-sobolewski@unibas.ch)
David Shaw (david.shaw@unibas.ch)
Inhalt Methods for analyzing large volumes of data (so-called “Big Data”) and for linking existing data collections are becoming increasingly popular in a large variety of scientific disciplines. In addition to a strong research focus on the improvement of existing and the development of new methods as well as their tailored application to concrete problems, also a critical discussion on the ethical, legal, and societal implications of the application of these methods is essential.
This summer school will provide insights from different disciplines onto the field of Data Analytics:
• Ethical aspects such as data protection, data privacy
• Legal aspects such as data ownership, personal rights, liability
• Societal aspects such as acceptance of methods, chances and risks, communication to the general public
The summer school will combine talks from experts in the different fields and activities of the participants (case studies, projects).
Lernziele The participants will be able to assess the ethical, legal, and societal aspects of Big Data and Data Analytics and will become familiar with the most relevant constraints and best practices in these domains. They will be prepared to participate in a more general discussion on the consequences of Big Data and Data Analytics on society, beyond mere technical aspects.
Literatur will be provided during the seminar.

 

Teilnahmebedingungen Enrollment to the PhD program Data Analytics
Anmeldung zur Lehrveranstaltung via VVonline
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Block
Datum 04.09.2019 – 06.09.2019
Zeit Siehe Detailangaben
Datum Zeit Raum
Mittwoch 04.09.2019 08.30-16.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Donnerstag 05.09.2019 08.30-16.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Freitag 06.09.2019 08.30-16.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Module Doktorat Informatik: Empfehlungen (Promotionsfach Informatik)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung Participants will be able to apply the concepts to case studies. The assessment will be based on the active participation during the discussions and the case studies.
An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Fachbereich Informatik

Zurück