講解半導體晶圓製造、先進智慧製造系統、 IoT、大數據、與人工智慧等相關技術，提升學生半導體產業的知識，做為未來進修或就業的參考。
.了解半導體產業發展趨勢
.了解晶圓廠運作、晶圓製程技術、生產流程、晶圓生產管理及自動化生產技術
.了解 IoT、雲端、大數據、人工智慧的發展趨勢
.應用 IoT、雲端、大數據、人工智慧技術，打造半導體晶圓製造先進智慧製造系統
.了解如何進行 Data Analysis, Machine Learning, Deep Learning 程式實作Explain semiconductor wafer manufacturing, advanced smart manufacturing systems, IoT, big data, artificial intelligence and other related technologies to enhance students' knowledge of the semiconductor industry and serve as a reference for future further studies or employment.
.Understand the development trends of the semiconductor industry
.Understand wafer fab operations, wafer process technology, production processes, wafer production management and automated production technology
.Understand the development trends of IoT, cloud, big data and artificial intelligence
.Apply IoT, cloud, big data, and artificial intelligence technologies to create an advanced smart manufacturing system for semiconductor wafer manufacturing.
.Learn how to implement Data Analysis, Machine Learning, and Deep Learning programs
1. 半導體製程技術導論、蕭宏、全華圖書、2014年出版。
2. 資料挖礦與大數據分析、簡禎富、許嘉裕編著、前程文化、2014年出版。
3. 相關半導體製造、大數據、資料分析、人工智慧參考文獻。
1. Introduction to Semiconductor Process Technology, Xiao Hong, Quanhua Books, published in 2014.
2. Data Mining and Big Data Analysis, edited by Jian Zhenfu and Xu Jiayu, Qiancheng Culture, published in 2014.
3. References related to semiconductor manufacturing, big data, data analysis, and artificial intelligence.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 總分總分 total score |
100 | 學期總分 |
