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Lecturer: Yu-Kai Huang (黃昱凱)
Email: ykwani@mail.ntou.edu.tw
Phone: (02)24622192#3505
Webpage: https://dotm.ntou.edu.tw/p/405-1067-55087,c9808.php?Lang=zh-tw
Course ID: B7603NP8
Credits: 3
Objective:
Explain the development status and trends of e-commerce, in addition to illustrating the world''s important e-commerce companies through case teaching, and supplement the application of big data analysis and artificial intelligence in future e-commerce. In addition, this course will be carried out in physical and online teaching to assist outdoor visits, allowing students to experience the meaning of the tourism industry in implementing O2O (collecting tourism information online, booking tickets online, and sharing tourism resources in person).
Course Prerequisites: None
Outline:
E-Commerce
Architecture Artificial intelligence applications
Internet Marketing Strategy
O2O practice
off-campus visit
Teaching Method: Classroom lectures, visits, case study, multimedia teaching
1. The course will be conducted as remote asynchronous teaching assistant physical teaching.
2. Outdoor visits, students learn independently.
Reference:
handout by teacher
Course Schedule (subject to change):
Week 1 Course Descriptions (Physical Classes)
Week 2 The Past, Present and Future of E-Commerce (Physical Classes)
Week 3 EC information architecture (physical class)
Week 4 Outdoor Visit 1/3 (New Year''s Eve at Sensoji Temple)
Week 5 Outdoor Visit 1/3 (Prayer at Sensoji Temple)
Week 6 Outdoor Visit 1/3 (Tokyo Station, Imperial Palace)
Week 7 EC analysis methodology: AHP + pathway selection: logit model + shopping recommendation: decision tree (distance asynchronous teaching - 1/2)
Week 8 mid-term exam week (submit group list and activity plan) Ninth
Week 9 Outdoor Visit 2/3 (Sky Tree Experience)
Week 10 Outdoor Visit 2/3 (Sumida River Water Bus)
Week 11 outdoor visit 2/3 (Odaiba)
Week 12 E-Commerce Strategy Analysis (Distance and Asynchronous Teaching-2/2) Week 13 group report (substantial class)
Week 14 Outdoor Visit 3/3 (Toshogu Shrine)
Week 15 Outdoor visit 3/3 (Yuzawa snow viewing)
Week 16 Outdoor Visit 3/3 (Hot Spring Experience)
Week 17 Outdoor Visit
Week 18 Course Review (2/2)
Evaluation:
Mid-term report (20%) + final report (40%) + personal report (40%)
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