Courses


Courses in the winter term 2023:

  • VWL in Aktion (Bachelor)
  • Makroökonomik I (Bachelor)
  • Seminar on Monetary Economics (Bachelor)
  • Recent Topics in Empirical Macro-Finance (Bachelor)
  • Financial Markets and the Macroeconomy (Master)


Courses in Previous Semesters:

Bachelor:

  • VWL in Aktion (Winter 2020/21& 2021/22, Summer 2021& 2022)
  • Geldtheorie und Geldpolitik (Summer 2020, 2021& 2022)
  • Makroökonomik I (Winter 2019/20 & 2021/22)
  • Makroökonomik II (Summer 2020& 2022)
  • Mikroökonomik I (Summer 2015, Winter 2016/17)
  • Mikroökonomik II (Winter 2015/16, Summer 2017)
  • International Financial Markets (Winter 2014/15 & 2017/18 - 2021/22, Summer 2016)
  • Grundlagen der Internationalen Wirtschaftsbeziehungen (Winter 2019/20- 2021/22, Summer 2021&2022)
  • The Economics of the European Monetary Union (Winter 2020/21)
  • Seminar on Monetary Economics (Winter 2020/21 & 2021/2022)
  • Seminar in International Financial Markets (Winter 2016/17 & 2017/18, Summer 2017 – 2021)
  • Seminar Topics in International Finance (Winter 2015/16)
  • Seminar in Empirical Trade (Summer 2017 & 2018, Winter 2017/18)
  • Seminar on European Integration (Summer 2018)
  • Empirical Macroeconomics (Summer 2022) 

Master:

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

Postgraduate:

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