Lehre

Lehrveranstaltungen im Sommersemester 2023:

  • VWL in Aktion (Bachelor)

Informationen zur Vorlesung finden Sie 

  • Finanzmarktglobalisierung, Finanzstabilität und die Realwirtschaft (Bachelor) 

Informationen zum Seminar finden Sie hier

Lehrveranstaltungen in vergangenen Semestern:

Bachelor:

  • VWL in Aktion (Winter 2020/21- 23/24 & Sommer 2021- 2023)
  • Geldtheorie und Geldpolitik (Winter 2022/23 & Sommer 2020, 2021 & 2022)
  • Makroökonomik I (Winter 2020/21 & Winter 23/24)
  • Makroökonomik II (Sommer 2020 & 2022)
  • Mikroökonomik I (Sommer 2015, Winter 2016/17)
  • Mikroökonomik II (Winter 2015/16, Sommer 2017)
  • Internationale Finanzmärkte  (Winter 2014/15 & 2017/18 - 2022/23, Sommer 2016)
  • Grundlagen der Internationalen Wirtschaftsbeziehungen (Winter 2019/20 - 2023/24 & Sommer 2021)
  • The Economics of the European Monetary Union (Winter 2020/21)
  • Seminar on Monetary Economics (Winter 2020/21 & Winter 2023/24)
  • Seminar in International Financial Markets (Winter 2016/17 & 2017/18, Sommer 2017 – 2021)
  • Seminar Topics in International Finance (Winter 2015/16)
  • Seminar in Empirical Trade (Sommer 2017 & 2018, Winter 2017/18)
  • Seminar on European Integration (Sommer 2018)
  • Empirical Macroeconomics (Summer 2022)

Master:

  • Financial Econometrics (Winter 2014/15, Sommer 2016 & 2017, Sommer 2019)
  • Monetary Economics (Sommer 2020 &2021 &2022, Winter 2020/21-22/23)
  • Reale Außenwirtschaft (Winter 2015/16)
  • International Trade (Sommer 2015–2018, Winter 2016/17 – 2018/19)
  • Seminar in Financial Econometrics (Winter 2015/16 – 2017/18, Sommer 2020)
  • Seminar The Global Business Cycle (Sommer 2015)
  • Seminar Financial Markets and the Macroeconomy (Winter 2014/15 & 2019/20 & 2020/21)
  • Seminar Business Cycles in Developing Countries (Sommer 2016–2019)
  • Macroeconometrics (Sommer 2021)
  • Natural Language Processing in Macroeconomics (Seminar) (Winter 2022/23, Sommer 2024)
  • Applied Macroeconomics with Python (Seminar) (Winter 2023/24)

Doktorand*innen:

  • Time-series analysis by State-Space methods. Classical and  Bayesian Approaches (Sommer 2016 & 2017 & 2019, Winter 2020/21)