The aim of this course is to provide students with an understanding of the role of artificial intelligence and data analytics in logistics processes; and to equip them with the skills to develop decision support systems, enhance process efficiency, and design digital transformation strategies using these technologies.

Fundamentals of artificial intelligence, basic concepts of machine learning, logistics-specific application examples, data processing with tools like ChatGPT, generating Python code, understanding statistical analysis, basic data analysis with SPSS, and data visualization techniques using Excel. The course aims to develop data literacy and AI-supported decision-making in logistics without requiring prior coding knowledge.