What's New
Hertie School of Governance
Bayesian Modeling of Complexity
In this course we teach fundamentals of complex adaptive systems, i.e., emergence, self-organization, non-linearity, and feedback loops. Furthermore, we cover Bayesian modeling and reasoning, Bayesian linear/hierarchical models, Markov chain Monte Carlo and PyMC. Bayesian calibration techniques for agent-based models are also discussed.
HALA Bank
Corporate Training on AI in Banking
We teach the application of AI in the realm of banking, i.e., we cover: prompt engineering and low-/no-code data analysis. Furthermore, we explore automation possibilities in the banking sector (using N8N), enabling the employees to leverage AI for improved decision-making and operational efficiency.