本課程包含
(1)人工智慧(AI)的理論基礎、模型建立、應用探討與實例分享,
(2)物聯網(IoT)的技術、實務與應用
(3)人工智慧+物聯網(AIoT)的整合應用
本課程著重於協助EMBA同學認識人工智慧與物聯網的發展背景、理論架構與操作實務,並透過案例的探討,了解相關的應用情境,發展現況,理論與技術的限制。This course contains
(1) The theoretical basis, model establishment, application discussion and case sharing of artificial intelligence (AI),
(2) Technology, practice and application of Internet of Things (IoT)
(3) Integrated application of artificial intelligence + Internet of Things (AIoT)
This course focuses on helping EMBA students understand the development background, theoretical framework and operational practices of artificial intelligence and the Internet of Things, and through case studies, understand the relevant application scenarios, current development status, and theoretical and technical limitations.
教師自製教材。
Teachers make their own teaching materials.
評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
---|---|---|
平時成績平時成績 usual results |
40 | 出席狀況、平時作業、課堂參與等等 |
期中成績期中成績 Midterm results |
30 | 含簡報與書面報告等 |
期末成績期末成績 final grade |
30 | 含簡報與書面報告等 |