312876 Master Seminar (S) (WiSe 2022/2023)
Contents, comment
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Brief overview
The seminar focuses on the impact of new technologies, in particular artificial intelligence, machine learning and automation on market conditions/dynamics, (financial) stability, structural change, and economic growth. Participants will read and present selected scientific articles on specific topics (e.g., algorithmic collusion, automation and labor markets, AI and financial stability, ...) and submit an essay which critically reviews the discussed manuscripts at the end of the course.Organization
There will be an organizational meeting on 21.10.2022 11:00 (s.t.) in W8-107, with a brief introduction and assignment of topics.Assessment methods
- oral presentation
- essayPrerequisites
None
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 31-M-El1 Elective Courses 1 Elective Courses 1 | Chosen course from the group "Specialisation and deepening of the knowledge on economic theory and/or quantitative methods" 5 LP | Student information | |
| 31-M-El2 Elective Courses 2 Elective Courses 2 | Chosen course from the group quantitative methods 5 LP | Student information | |
| 31-M-El3 Elective Courses 3 Elective Courses 3 | Chosen course from the group economic theory 5 LP | Student information | |
| 31-M-Micro3 Microeconomics 3 Microeconomics 3 | Microeconomics 3 | Graded examination
|
Student information |
| 31-MM18 Project/Seminar Projekt/Seminar | Projekt/Seminar 1 | Study requirement
Graded examination |
Student information |
| Projekt/Seminar 2 | Study requirement
Graded examination |
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bielefeld Graduate School in Theoretical Sciences / Promotion | |||||||
| Economics and Management (BiGSEM) / Promotion | Economics; Electives | 4 | |||||
| Economics and Management (BiGSEM) / Promotion | Finance; Electives | 4 | |||||
| Economics and Management (BiGSEM) / Promotion | Management; Electives | 4 |
- E-Learning Space
- E-Learning Space
- Address:
- WS2022_312876@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_356705264@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Tuesday, June 7, 2022
- Last update times:
- Thursday, October 13, 2022
- Last update rooms:
- Thursday, October 13, 2022
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Business Administration and Economics
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- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=356705264
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- ID
- 356705264