Implementierung der planerseitigen Entscheidungsunterstützung einer menschzentrierten Dienstplanung

The project aims to implement a robust, extensible backend component for human-centered physician scheduling, focused on reviewing proposed plans, resolving conflicts, and approving plans. Students will analyze feasibility, design and implement a prototype that connects an optimization algorithm with checking, approval, and versioning logic, then test and iteratively improve it. The work requires basic Python or equivalent knowledge and Git experience; larger software-project experience is an advantage.