Law and Economics of Algorithms - Interactive curriculae of TU Ilmenau

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module properties module number 201005 - common information
module number	201005
department	Department of Economic Sciences and Media
ID of group	2544 (Law and Economics of Digitalization)
module leader	Prof. Dr. Juliane Mendelsohn
language	Englisch
term	Sommersemester
previous knowledge and experience	Fundamentals of Law or Fundamentals of Business Law
learning outcome	Students have acquired fundamental knowledge of the foundations and institutions of law and economics (contract, tort and business law, intellectual property, competition law). Students have learned how these rules and institutions are subject to change and development due to the large-scale integration of algorithms in today's world. Based on these foundations, each student has developed his/her own research question and research proposal on a specific question and has written a methodologically coherent paper (ca. 5000 words). The student has presented key finding and points of analysis in class (ca. 10-15minutes) The combination of the lecture and seminar format has provided the students with a good theoretical foundation for their own research and has integrated legal and economic aspects with knowledge from their own disciplines.
content	I. Algorithms in Contracts and Torts (selected issues) Machine Intelligence, Agency and legal personhood Algorithmic discrimination Liability and self-learning/ self-driving mechanisms Contract drafting and formal languages Legal Tech and smart contracts II. Algorithms in IP and Data Law (selected issues) Protecting algorithms Algorithms in copyrights and patent law (question relating to the "author" and "inventor") Algorithms and big data Protecting Databases III. Algorithms in Competition, Corporate and Regulatory Law (selected issues) Regulating algorithms and AI Algorithms and competition law issues (collusion, abuse) Algorithms and corporate governance
media of instruction and technical requirements for education and examination in case of online participation	Lecture and seminar, power point presentations, online exercises and research, interactive discussions
literature / references	Revision of previous lectures: Musielak/Hau, Grundkurs BGB, CH Beck, 16. Aufl. 2019 Vieweg/ Fischer: Wirtschaftsrecht: Grundlagen, Nomos, 1. Auflage 2019 Klein-Benkers, Rechtsformen der Unternehmen, CF Müller, 2.Auflage 2016 Haucap/Budzinski, Recht und Ökonomie, 2020 Private law and economic law: Matis, Law and Economics in Europe, Springer, 2013 Priest, The Rise of Law and Economics, Routledge, 2020 Gilker, Research Handbook on EU Tort Law, EE, 2017 Robbers, Introduction to German Law, Nomos, 7th Ed. 2019 Jones/Sufrin, EU Competition Law, 7th Ed, 2019 Law of algorithms: Ebers/Navas, Algorithms and Law, CUP, 2020 Ezrachi/Stucke, Virtual Competition, HUP, 2016 Cormen/Leiserson, Introduction to Algorithms, 3rd Ed., 2009 Stucke/Grunes, Big Data and Competition Policy, OUP, 2016 Caldarola/Schrey, Big Data and Law, Beck Hart Nomos, 2020
evaluation of teaching

Details reference subject
module name	Law and Economics of Algorithms
examination number	2500623
credit points	5
SWS	3 (2 V, 1 Ü, 0 P)
on-campus program (h)	33.75
self-study (h)	116.25
obligation	obligatory module
exam	alternative examination performance
details of the certificate	coherent paper (ca. 5000 words) and presentation in class (ca. 10-15 minutes)
link to Moodle course
teacher	Prof. Dr. Juliane Mendelsohn
signup details for alternative examinations	Dieses Modul enthält mindestens eine alternative semesterbegleitende Abschlussleistung. Bitte beachten Sie, dass diese in der Regel schon zu Beginn des Semesters, in dem diese angeboten wird, angemeldet werden muss. Über die Details und Zeiträume dazu werden Sie vom Lehrenden und/oder dem Prüfungsamt informiert. Fragen Sie gegebenenfalls unbedingt beim Lehrenden nach. This module contains at least one alternative exam part. Please note that this must usually be registered at the beginning of the semester in which it is offered. The lecturer and/or the examination office will inform you about the details and time periods. If necessary, be sure to ask the lecturer.
maximum number of participants