Topic Outline
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Introduction to big data |
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Big data and big data sources in transport, shipping, and logistics |
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Theoretical framework and applications of big data analytics |
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Theoretical Foundations of Blockchain in Logistics |
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Challenges, future trends, and possibilities towards sustainability and solutions against climate crisis |
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Case study |
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Suggested literature |
Aim of the course is to:
- Build Fundamental Understanding: Provide participants with a foundational understanding of big data, analytics and blockchain technology in the context of transport, shipping, and logistics.
- Explore Conceptual Applications: Explore the theoretical concepts and potential applications of data analytics in optimizing logistics, transport, and inventory management.
- Promote Awareness and Discussion: Encourage participants to think critically about the impact, benefits, and challenges of adopting these technologies in the industry through discussion and analysis of theoretical scenarios with a focus on solutions towards sustainability.
By the end of the course, participants will be able to:
- Explain the fundamental principles of big data analytics and its relevance to the transport, shipping and logistics sectors.
- Describe the theoretical foundations of blockchain technology and its potential applications in supply chain management.
- Analyse and discuss hypothetical use-cases and theoretical scenarios for data analytics and blockchain in transport, shipping, and logistics, focusing on sustainability and solutions against climate crisis.