SDSC3027 - Smart Logistics and Transportation | ||||||||
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| * The offering term is subject to change without prior notice | ||||||||
Course Aims | ||||||||
In this course, students will learn classical contents and principles in supply chain management, inventory control, transportation systems and networks. Furthermore, students will have the opportunities to explore recent advancement of machine learning and artificial intelligence techniques for the development of smart cities, such as ride sharing, autonomous driving, electrical vehicles, drone logistics, etc.. | ||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||
Continuous Assessment: 60% | ||||||||
Examination: 40% | ||||||||
Examination Duration: 2 hours | ||||||||
Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components. | ||||||||
Detailed Course Information | ||||||||
| SDSC3027.pdf | ||||||||
