Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

040250 KU Technological Change, Automation, and AI (MA) (2025S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
VOR-ORT
Mi 05.03. 18:30-20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock

Details

max. 50 Teilnehmer*innen
Sprache: Englisch

Lehrende

    Termine (iCal) - nächster Termin ist mit N markiert

    • Mittwoch 19.03. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 26.03. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 02.04. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 09.04. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 30.04. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 07.05. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 14.05. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 21.05. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 28.05. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 04.06. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 11.06. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 18.06. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Mittwoch 25.06. 18:30 - 20:00 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock

    Information

    Ziele, Inhalte und Methode der Lehrveranstaltung

    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.

    Art der Leistungskontrolle und erlaubte Hilfsmittel

    The grade is determined by 40% for the student's presentation, 40% for a report or research proposal, and 20% for participation.

    Mindestanforderungen und Beurteilungsmaßstab

    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.

    Prüfungsstoff

    The grading of the problem sets and empirical projects will be based on both their implementation and their discussion in class.

    Literatur

    Selected journal articles and book chapters.

    Zuordnung im Vorlesungsverzeichnis

    Letzte Änderung: Mi 15.01.2025 08:45