E-Learning an der TU Hamburg
Lecture: Digital Economics - Details
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General information

Course name Lecture: Digital Economics
Subtitle Module: Digital Economics
Course number lv2715 & lv2716
Semester WiSe 22/23
Current number of participants 29
maximum number of participants 30
Home institute Institut für Digital Economics (W-5)
Courses type Lecture in category Teaching
Next date Mon., 05.12.2022 09:15 - 10:45, Room: (H - 0.02)
Pre-requisites Knowledge of economics as taught in the Economics module is expected.
Learning organisation ▪ Memo 1: Summarize a topic covered in the lecture (due on 27 November 2022).
▪ Memo 2: Critically analyze a relevant research paper (due on 18 December 2022).
▪ Presentation: Develop an applied research proposal (handout due on 22 January 2023,
presentation to be held in class during the last two weeks of the term).
Memo 1 and the presentation can be prepared in groups, depending on the number of course participants. Memo 2 will be prepared individually. All three components will be graded jointly at the end of the term.
Please note that all course participants have to be present for the presentation sessions on 23 January 2023 and 30 January 2023.
Performance record The examination is an FFA (subject theoretical and practical work) consisting of three components: two memos and one presentation. These three components are weighted equally and comprise approx. 10–15 pages in total.
Miscellanea Literature
▪ Easley, D., & Kleinberg, J. (2010). Networks, Crowds, and Markets. Cambridge University Press. Haeringer, G. (2018). Market Design: Auctions and Matching. MIT Press.
▪ Parkes, D. C., & Seuken, S. (2020). Algorithmic Economics: A Design Approach. Unpublished. Pass, R. (2019). A Course in Networks and Markets: Game-theoretic Models and Reasoning. MIT Press.
▪ Weimann, J., & Brosig-Koch, J. (2019). Methods in Experimental Economics. Springer.
ECTS points 6

Course location / Course dates

(H - 0.02) Monday: 09:15 - 10:45, weekly (11x)
(D - 1.025) Monday: 13:45 - 15:15, weekly (13x)

Comment/Description

  • Game theory
  • Auction theory
  • Mechanism design
  • Online advertising markets
  • Matching markets
  • Social choice
  • Beliefs formation
  • Reputation systems
  • Behavioral economics

Admission settings

The course is part of admission "Beschränkte Teilnehmendenanzahl: Digital Economics".
Settings for unsubscribe:
  • A defined number of seats will be assigned to these courses.
    The seats will be assigned in order of enrolment.
  • The enrolment is possible from 21.09.2022, 09:00 to 01.12.2022, 00:00.
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