This module aims to equip students with AI-centric technology fundamentals for Intelligent Supply Chain. Students will learn about Data Analysis, IoT Applications, Robotics and Automation, Natural Language Processing (NLP), Immersive Technologies (AR/VR), and AI in Digital Marketing and Social Media Analytics. Students will also learn market analysis and industry trends forecast relevant to their programmes. Equipped with the knowledge and skills taught in this module, students will obtain a clear picture of AI and technology fundamentals. They will learn to design and implement AI models to solve real-world problems.
A. Analyze the state-of-the-art industrial and commercial applications of AI to understand their impact on supply chain innovation. B. Apply AI models and techniques to solve real-world supply chain challenges. C. Evaluate AI-centric technology perspectives and assess their influence on modern supply chain industries.
The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially problem-based assessments that are project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments. This module will be delivered by a combination of formal lectures, seminars, and computer labs. The lectures cover the content outlined in the syllabus, introducing technology fundamental topics and market analysis and industry trends. Labs are designed to equip students with essential programming and hands on skills in module-related areas. Through individual project, students gain practical experience in implementing and experimenting with technology fundamentals and undertaking independent study and research on industry focused real-world problems. This module will be delivered through a combination of lectures, group discussions, case studies, and hands-on practical exercises. The lecture component of this module will provide students with a comprehensive overview of the core concepts and theories of AI-centric technology fundamentals. Case studies will be used to provide students with real-world examples of how the concepts and techniques covered in this module can be applied. Lab/Practical sessions will allow students to apply the techniques, data analytics tools to solve real-world industry focused problems and conduct market and industry analysis.