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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

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Reading ntroduction to the Course – Overview of Digital Transformation and Artificial Intelligence Lecture, Q&A
2 Reading Importance of Digitalization in Logistics and Fundamental Concepts Lecture, Q&A
3 Reading Big Data and Its Applications in Logistics Lecture, Q&A
4 Reading Internet of Things (IoT) and Smart Logistics Applications Lecture, Q&A
5 Reading Blockchain Technology and Supply Chain Management Lecture, Q&A
6 Reading Fundamentals of Artificial Intelligence and Machine Learning Lecture, Q&A
7 Reading Applications of Artificial Intelligence in Demand Forecasting and Inventory Management Lecture, Q&A
8 Reading Automation and Robotics Technologies in Warehouse Management Lecture, Q&A
9 Reading Route Optimization and AI Applications in Transportation Lecture, Q&A
10 - MID-TERM EXAM -
11 Reading Autonomous Vehicles and Drone-based Transportation Lecture, Q&A
12 Reading Impacts of Digital Transformation on Logistics Costs and Efficiency Lecture, Q&A
13 Reading Artificial Intelligence Solutions for Sustainable Logistics Lecture, Q&A
14 Reading Case Studies: Successful Examples of Digital Transformation Lecture, Q&A, Problem Solving
15 Reading General Review Problem Solving
16 - FINAL EXAM -
17 - FINAL EXAM -