040250 KU Technological Change, Automation, and AI (MA) (2025S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 10.02.2025 09:00 to Tu 18.02.2025 12:00
- Registration is open from We 26.02.2025 09:00 to Th 27.02.2025 12:00
- Deregistration possible until Fr 14.03.2025 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Wednesday 05.03. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 19.03. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 26.03. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 02.04. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 09.04. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 30.04. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 07.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 14.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 21.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 28.05. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 04.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 11.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Wednesday 18.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- N Wednesday 25.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
The last decades have witnessed major advances in automated technologies, and future progress in artificial intelligence is expected to change the economy drastically. In this course, we analyze task-based models, a class of models that has been increasingly used to analyze the macroeconomic consequences of adopting automated technologies and their effects on the labor market. The course is structured in three parts. In the first part, we analyze macroeconomic and labor market trends associated with technological change and automation, and we introduce the task-based framework as a theoretical tool useful to explain those trends. In the second part, we consider some applications of the task-based framework in recent research. In particular, we analyze the relationship between automation and labor market polarization, inequality, demographics, and the supply of skills. We also use the task-based framework to get insights regarding the possible effects of artificial intelligence on the economy. In the last part of the course, students will present a paper of their choice on topics studied in class with the scope of encouraging discussion.
Assessment and permitted materials
The grade is determined by 40% for the student's presentation, 40% for a report or research proposal, and 20% for participation.
Minimum requirements and assessment criteria
Students need to obtain at least an average of 50% to pass this course. 50% - 60% implies a 4; 60% - 70% a 3; 70% - 85% a 2; 85% or above a 1.
Examination topics
The grading of the problem sets and empirical projects will be based on both their implementation and their discussion in class.
Reading list
Selected journal articles and book chapters.
Association in the course directory
Last modified: Mo 17.03.2025 13:25