國立暨南國際大學

學年

學期

開課號

課號

課程名稱

英文課名

學院

開課系所

班級

任課教師

學分

授課時數

授課類型

課程類別

修別

排課時間

排課地點

全英語授課

任課教師電子郵件信箱

核心能力

職涯類別

教學內涵

程式設計

性別平等

品德教育

人權教育

永續環境

一、課程目標Course objectives

This course aims to help students develop a foundational understanding of how artificial intelligence is applied in supply chain management and global logistics, with particular emphasis on Taiwan’s semiconductor and high-tech industries. It enables students to understand the interrelationships among AI, supply chain systems, and international logistics operations, and to recognize the major applications of AI in forecasting, production planning, logistics coordination, traceability, and risk management. The course also helps students examine the strategic role of Taiwan’s semiconductor and high-tech industries in global supply chains, analyze how AI enhances operational efficiency, industrial resilience, and global competitiveness, and reflect on the ethical, managerial, and sustainability issues associated with AI-driven transformation in high-tech industrial systems.

二、師生晤談時間及地點Instructor office hours

時間

Please email in advance to arrange an appointment.

地點

Please email in advance to arrange an appointment.

電話

Please email in advance to arrange an appointment.

三、授課方式Teaching approach

This course introduces students to the application of artificial intelligence in supply chain management and global logistics, with a special focus on Taiwan’s semiconductor and high-tech industries. Students will examine how AI technologies enhance forecasting, production planning, logistics coordination, risk management, traceability, and international operations. Through case studies involving semiconductor manufacturing, electronics exports, and high-tech global value chains, students will develop a practical and critical understanding of how Taiwan’s strategic industries respond to geopolitical change, technological disruption, and sustainability pressures. The course also encourages students to connect AI-driven operational innovation with ethical governance, industrial resilience, and global competitiveness.

四、評量方式Grading criteria:

Mid-term 50%(Open Book) Final Exam 50%(Open Book)

五、參考書目Textbook & references:

六、教學進度Course schedule

七、彈性教學

We will engage in an in-depth discussion on potential research directions for students' master theses, including opportunities for interdisciplinary research.

八、TA協助事項Teaching Assistant tasks

The teaching assistant will record students’ scores and assist with the setup of the teaching environment for the professor.

九、備註Remarks

十、本課程可培養學生之核心能力與教學活動、核心能力與評量方法之對應表

The course is designed to cultivate students’ core competencies in professional knowledge, critical thinking and problem solving, communication and expression, global perspective, innovation and practical application, as well as ethical awareness and social responsibility. These competencies will be developed through a variety of teaching activities, including lectures, guided reading, case study analysis, classroom discussion, oral presentations, project-based learning, and reflective inquiry into real-world issues related to AI, supply chains, and global logistics. Students’ achievement of these core competencies will be assessed through class participation, written assignments, case analysis, oral presentations, midterm reports, and final projects, so as to evaluate their understanding of key concepts, analytical ability, practical application, and capacity to reflect on strategic, ethical, and global dimensions of AI-driven industrial transformation.

◎請同學們遵守智慧財產權及不得不法影印。
Course participants should respect intellectual property rights. Illegal copying of copyrighted course materials is strictly prohibited.
◎請任課教師在教學過程中適當引導學生使用正版教科書，並適時提醒或制止學生使用非法影印教科書，或通報學校予以輔導。
Instructors should ensure that students purchase licensed textbooks and preventstudents from using illegally copied texts.

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