The expert panel is aimed at experienced members of central banks’ anti-counterfeiting units requiring a detailed understanding of techniques for successfully combating the circulation of counterfeit money. Participants are expected to make an active contribution to the discussions and will be invited to present and discuss their own topics or cases.

Policymakers in banking supervision, on-site and off-site supervisors, IT auditors. Participants should have at least an intermediate understanding of banking supervision and ICT.

Mid to senior-level banking supervisors from central banks and supervisory authorities.

The course is designed for staff working in information technology, statistics or research departments at central banks and regulatory and supervisory authorities with an interest in applying machine learning methods with Python. It is not aimed at those who already have extensive and advanced knowledge of Python.

Indeed, little prior knowledge is expected, and the necessary Python skills are covered at the beginning, making the course suitable for previously inexperienced staff. It may be interesting for those who wish to switch from the programming language R to Python.

This course is aimed at those new to roles in a central bank’s cash or IT department who would like to start out by gaining an overview of the field, through to more experienced experts and project managers wishing to expand their knowledge and learn about the Bundesbank’s approach.

The course is designed for mid-level and senior employees of central banks. A solid background in payment clearing and settlement issues is essential for constructive and productive participation in the course. Participants should be familiar with the payment system policy and practices applied in their home countries. Additionally, they will be invited to take an active part in the discussions and case studies, covering topics such as T2S, oversight and innovations.