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TIme Series Analysis, Summer 2025, Mark Trede

Dynamic Optimization and Reinforcement Learning, Winter 2022/2023, Jörg Lingens, Mark Trede and Simon Haastert

Dynamic Optimisation and Reinforcement Learning, WiSe 2025/26, Simon Haastert, Jörg Lingens, Mark Trede

Introduction to R - SoSe 2023, Friederike Schmal, Simon Haastert

Econometrics: Estimation Methods, SS 2021, Mark Trede

Data Science 1, Sommer 2024, Mark Trede

Statistik 1, WS 2022/2023, Mark Trede

Econometrics WS 2020/21, Andrea Beccarini

Dynamic Optimization and Reinforcement Learning, Winter 2024/25, Simon Haastert, Jörg Lingens, Mark Trede

Introduction to R, Sommer 2024, Mark Trede, Simon Haastert

Coding Fundamentals for PhD Students, Sommer 2024, Friedrich Geiecke

Empirical Methods WiSe 2025/26, Andrea Beccarini

Econometric Impact Evaluation, WS 20/21, Martin & Masuhr

Panel data Econometrics WiSe 2023/24, Andrea Beccarini, Stella Martin

Data Science 2, Winter 2024/25, Mark Trede

Data Science 1, Sommer 2023, Mark Trede

Advanced Statistics WiSe 2022/23, Mawuli Segnon

Financial Econometrics SoSe 2023, Andrea Beccarini, Björn Schulte-Tillmann

Quantitative Financial Economics, SS 2021, Andrea Beccarini, Björn Schulte-Tillmann

Measurement of Inequality - Applied Empirical Methods SoSe 2024

Panel data analysis with applications in sustainabe development SoSe 2025, Andrea Beccarini

Sustainable European Restructuring WiSe 2024/25, Andrea Beccarini

Lineare Algebra für Wirtschaftswissenschaften SoSe 2024, Mawuli Segnon

Data Science 2 Winter 2023/24, Mark Trede

Empirical Methods WiSe 2022/23, Andrea Beccarini

Empirical Methods WiSe 2023/24, Mawuli Segnon

Exam Econometrics Summer Term 2020

Neural Networks for Economics and Finance WiSe 2025/26, Mark Trede, Nicole Branger

Econometrics WS 2021/22, Andrea Beccarini

Data Science 1 SoSe 2025, Mawuli Segnon