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040063 KU Digital Economics - Macro (MA) (2024S)
Continuous assessment of course work
Labels
MIXED
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 12.02.2024 09:00 to We 21.02.2024 12:00
- Registration is open from Mo 26.02.2024 09:00 to Tu 27.02.2024 12:00
- Deregistration possible until Th 14.03.2024 23:59
Details
max. 50 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 07.05. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 08.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 14.05. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 15.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 21.05. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 22.05. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 28.05. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 04.06. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 05.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 11.06. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 12.06. 15:00 - 16:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 18.06. 15:00 - 16:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Wednesday 19.06. 15:00 - 16:30 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
The objective of this course is to introduce students in the key challenges of digitalization in the modern economy. It will combine theoretical and empirical methods, with a special focus on policy.
Assessment and permitted materials
Open Books exam (40%), Class Participation (20%), Group Project (40%)
Minimum requirements and assessment criteria
85% +, 1
70-85%, 2
60-70%, 3
50-60%, 4
Less than 50%, 5
70-85%, 2
60-70%, 3
50-60%, 4
Less than 50%, 5
Examination topics
1. Automation: Theory
2. Automation: Empirics and Policy
3. The future of Work
4. Macroeconomics and the use of Data.
2. Automation: Empirics and Policy
3. The future of Work
4. Macroeconomics and the use of Data.
Reading list
Selected articles available in Moodle
Association in the course directory
Last modified: Tu 14.05.2024 10:45