312876 Master Seminar (S) (WiSe 2022/2023)

Contents, comment

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
- essay

Prerequisites
None

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

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Subject assignments

Module Course Requirements  
31-M-El1 Elective Courses 1 Gewählte Veranstaltungen aus dem Bereich "Spezialkenntnisse in ökonomischer Theorie und/oder quantitativen Methoden" 5 LP Student information
31-M-El2 Elective Courses 2 Gewählte Veranstaltungen aus dem Bereich quantitativen Methoden 5 LP Student information
31-M-El3 Elective Courses 3 Gewählte Veranstaltungen aus dem Bereich ökonomischer Theorie 5 LP Student information
31-M-Micro3 Microeconomics 3 Microeconomics 3 Graded examination
Student information
31-MM18 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  
No more requirements
E-Learning Space
E-Learning Space
Registered number: 6
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
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
Coverage:
3 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
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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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ID
356705264