Data Science & Intelligent Analytics PT
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Business Ethics, Compliance and Law

level of course unit

Master's course

Learning outcomes of course unit

The following skills are developed in the course:

- Students are familiar with further ethical and legal requirements for data processing.
- Students can apply these advanced requirements to data-driven projects.
- Students are able to analyze the use of large quantities of data and exploitation strategies based on these ethical and legal frameworks and to develop procedures based on them.

prerequisites and co-requisites

No prerequisites

course contents

The following content is discussed in the course:

- Data protection (e.g. DSGVO)
- Privacy (e-Privacy Regulation)
- Handling of data from an ethical/moral point of view
- Compliance

recommended or required reading

PRIMARY LITERATURE:
- Gola, P.; Reif, Y. (2016): Praxisfälle Datenschutzrecht: Juristische Sachverhalte Schritt für Schritt prüfen, bewerten und lösen (Ed. 2), DATAKONTEXT, Frechen (ISBN: 978-3895777677)

SECONDARY LITERATURE:
- Floridi, L. (2015): The Ethic of Information (Ed. 1), Oxford University Press, Oxford (ISBN: 978-0198748052)
- Lynskey, O. (2016): The Foundations of EU Data Protection Law (Ed. 1), Oxford University Press, Oxford (ISBN: 978-0-19-871823-9)
- Taeger, J. (2014): Datenschutzrecht: Einführung (Ed. 1), Deutscher Fachverlag, Frankfurt am Main (ISBN: 978-3800515370)
- Worms, N. (2010): Informationsethik und Online-Netzwerke: Im Spannungsfeld zwischen strukturellen Bedingtheit und Privatsphäre (Ed. 1), VDM Verlag Dr. Müller, Saarbrücken (ISBN: 978-3639320602)

assessment methods and criteria

Written exam

language of instruction

German

number of ECTS credits allocated

3

eLearning quota in percent

0

course-hours-per-week (chw)

1.5

planned learning activities and teaching methods

The following methods are used:

- Lecture with discussion

semester/trimester when the course unit is delivered

4

name of lecturer(s)

Mag. Lothar Gamper

course unit code

ETHR.1

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

none