851-0740-00L  Big Data, Law, and Policy

SemesterSpring Semester 2020
LecturersS. Bechtold
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 35

Students will be informed by 1.3.2020 at the latest.



Courses

NumberTitleHoursLecturers
851-0740-00 SBig Data, Law, and Policy
Permission from lecturers required for all students.
2 hrs
Wed13:15-15:00IFW E 42 »
19.02.13:15-15:00IFW A 36 »
S. Bechtold

Catalogue data

AbstractThis course introduces students to societal perspectives on the big data revolution. Discussing important contributions from machine learning and data science, the course explores their legal, economic, ethical, and political implications in the past, present, and future.
ObjectiveThis course is intended both for students of machine learning and data science who want to reflect on the societal implications of their field, and for students from other disciplines who want to explore the societal impact of data sciences. The course will first discuss some of the methodological foundations of machine learning, followed by a discussion of research papers and real-world applications where big data and societal values may clash. Potential topics include the implications of big data for privacy, liability, insurance, health systems, voting, and democratic institutions, as well as the use of predictive algorithms for price discrimination and the criminal justice system. Guest speakers, weekly readings and reaction papers ensure a lively debate among participants from various backgrounds.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersS. Bechtold
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

GeneralPermission from lecturers required for all students
PlacesLimited number of places. Special selection procedure.
Waiting listuntil 01.03.2020
End of registration periodRegistration only possible until 23.02.2020

Offered in

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Data Science MasterInterdisciplinary ElectivesWInformation
Data Science MasterGESS Science in PerspectiveWInformation
GESS Science in PerspectiveLawWInformation
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GESS Science in PerspectiveD-ITETWInformation
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Computer Science MasterSeminar in Distributed SystemsWInformation
Computer Science MasterSeminar in General StudiesWInformation
Integrated Building Systems MasterGESS Science in PerspectiveWInformation