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DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE APPLICATIONS IN LOGISTICS COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
ILT440 DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE APPLICATIONS IN LOGISTICS 7 3 3 7

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Define the basic concepts of digital transformation and artificial intelligence in the context of logistics.
Explain the role and importance of digital technologies in modern logistics systems.
Analyze how big data, IoT, and blockchain technologies improve supply chain visibility and efficiency.
Apply artificial intelligence and machine learning techniques to logistics problems such as demand forecasting and inventory management.
Evaluate the impact of digital transformation on logistics costs, operational efficiency, and sustainability.
Interpret real-world examples and case studies of successful digital transformation in logistics.
Develop an integrated perspective on how AI-driven tools can optimize logistics and transportation processes.