teaching

This course introduces key concepts and emerging technologies in smart logistics, including intelligent transportation, data-driven logistics management, and automation. Students will learn how digital technologies can be applied to improve the efficiency and sustainability of modern logistics systems.

This course covers advanced methods for modeling, analyzing, and simulating complex systems. Students will develop practical skills in mathematical modeling, simulation techniques, and computational analysis for transportation and logistics applications.

This course covers advanced methods and applications for discrete choice modelling, including nested logit, route choice studies, machine learning-based choice models.