First year of the programme (2026 Spring, Winter Semesters)

Where Year 1 places its emphasis?

• Applied AI for urban logistics decision-making: demand forecasting/predictive analytics, routing/operational optimisation, and inventory-related decisions in last-mile contexts.

• EU-facing orientation: integration of EU-relevant case studies and explicit attention to ethics and the regulatory/policy environment shaping AI-enabled logistics.

• Skills-oriented delivery: hands-on, tool-supported learning (e.g., Python-based implementation) culminating in a capstone output presented at the Round Table.
  
  

How many lectures?

• The DoA specifies total hours and duration, but does not prescribe a fixed number of lectures.

• A workable, standard structuring for planning purposes is 24 teaching sessions × 3 hours = 72 hours (i.e., “lecture/session equivalents,” depending on delivery design).