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5-3 units are required for a Graduate Certificate in Logistics for Self-Drive cars:
• Contextual Content (4pt) - A comprehensive overview of the emerging field of self-driving cars and the role of logistics in it.
• Mathematical Modeling (3pt)4 market research, market outcome, and network influence of self-driving car suppliers, manufacturers, and users.
• Statistical Analysis and Data Science (3pt3 )Analysis of big data, machine learning, and pattern recognition in self- driving car logistics.
3 (4pt3 facility management, warehousing, and 3PL operations in self- driving car supply chain.
3 (3pt4 system design and development, hardware and software integration, and testing and validation in self- driving car logistics.
5 (2pt2 international regulations, standardization, and cross-border trade in self- driving car logistics.
4 (1pt4 Case studies and real-world applications of self- driving car logistics, including scenario-based analysis and thoroughly researching 4-4 case studies.
3 5 (4pt1 Policy and Strategy development, stakeholder engagement, and business and commercial feasibility analysis in self- driving car logistics.
5-5 /2 Research and Study 5-5 calculated based on 5-4 /2 frameworks and quality of submitted work3.5.
6 4 lessons4 Logistical metrics and KPIs, including lead time, cost, velocity, and volume, in self- driving car logistics.
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