Module 39-Inf-ELSI Ethical, Legal and Social Impacts

Faculty

Person responsible for module

Regular cycle (beginning)

Every winter semester

Credit points and duration

5 Credit points

For information on the duration of the modul, refer to the courses of study in which the module is used.

Competencies

Non-official translation of the module descriptions. Only the German version is legally binding.

This module will go beyond the application of data analytics. In the lectures and in the seminar students raise their awareness about ethical, legal and social aspects and impacts of the application of data analytics. The module includes includes a presentation with written report.

Content of teaching

This is a series of lectures given by different speakers. The topics depend on the lecturers that accept our invitation.
Currently relevant topics that we are envision are:

  • Epistemological aspects of data analytics
  • Strengthening democracy with data analytics
  • Open Data
  • Data Privacy / Anonymity / Duzzing
  • Data Marketplaces
  • Right to be forgotten
  • Algorithmic Accountability & Transparency & Explainability
  • Mikrotargeting
  • Algorithmic Decision Making & Anti-discriminination
  • Filter bubble / echo chamber effects
  • Ethical Aspects of Monitoring and Surveillance
  • Licensing
  • Inheritance of private data
  • Social profiling & predictive policing
  • What data may and may not be collected and for what purposes ? the current state of the laws in Germany and the EU.

Recommended previous knowledge

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Necessary requirements

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Explanation regarding the elements of the module

Module structure: 1 bPr 1

Courses

Ethical, Legal and Social Impacts
Type lecture
Regular cycle WiSe
Workload5 30 h (30 + 0)
LP 1
Ethical, Legal and Social Impacts
Type seminar
Regular cycle WiSe
Workload5 60 h (30 + 30)
LP 2 [Pr]

Examinations

oral presentation with written exploration
Allocated examiner Teaching staff of the course Ethical, Legal and Social Impacts (seminar)
Weighting 1
Workload 60h
LP2 2

The topic may be selected from a list of topics provided by the organizers. Additional topics can be proposed by the students. Presentation (15 minutes) and Essay (15 pages). The topic may be selected from a list of topics provided by the organizers. Additional topics can be proposed by the students.

The module is used in these degree programmes:

Degree programme Profile Recom­mended start 3 Duration Manda­tory option 4
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] Variante 1 3. one semester Obli­gation
Data Science / Master of Science [FsB vom 06.04.2018 mit Änderungen vom 01.07.2019, 02.03.2020, 21.03.2023 und 10.12.2024] Variante 2 3. one semester Obli­gation
Courses offered for the Individual Subsidiary Subjects / Individueller Ergänzungsbereich im Bachelor Technische Fakultät 3. o. 5. one semester Compul­sory optional subject
Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020] 1. o. 2. o. 3. one semester Compul­sory optional subject
Faculty of Technology - Courses offered for the Individual Subsidiary Subjects / Individueller Ergänzungsbereich im Bachelor 3. o. 5. one semester Compul­sory optional subject

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Legend

1
The module structure displays the required number of study requirements and examinations.
2
LP is the short form for credit points.
3
The figures in this column are the specialist semesters in which it is recommended to start the module. Depending on the individual study schedule, entirely different courses of study are possible and advisable.
4
Explanations on mandatory option: "Obligation" means: This module is mandatory for the course of the studies; "Optional obligation" means: This module belongs to a number of modules available for selection under certain circumstances. This is more precisely regulated by the "Subject-related regulations" (see navigation).
5
Workload (contact time + self-study)
SoSe
Summer semester
WiSe
Winter semester
SL
Study requirement
Pr
Examination
bPr
Number of examinations with grades
uPr
Number of examinations without grades
This academic achievement can be reported and recognised.

Sidebar

Elements of the module

Courses

Examinations

Programme of lectures (eKVV)

Programme of lectures (eKVV)

Show lists of modules

Data Science / Master of Science // Variante 1

Data Science / Master of Science // Variante 2

Courses offered for the Individual Subsidiary Subjects / Individueller Ergänzungsbereich im Bachelor // Technische Fakultät

Intelligent Systems / Master of Science [FsB vom 27.07.2018 mit Änderung vom 04.06.2020]

Faculty of Technology - Courses offered for the Individual Subsidiary Subjects / Individueller Ergänzungsbereich im Bachelor