SDSC3027 - Smart Logistics and Transportation

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2022/23 (Tentative)

* The offering term is subject to change without prior notice
Course Aims

This course offers classical contents and principles in the supply chain management, inventory control, as well as transportation systems and networks. Meanwhile, recent advancement of machine learning and artificial intelligence techniques for realizing smart logistics and supply chain will also be included.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

School of Data Science