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工業工程與經營資訊學系
course information of 113 - 2 | 5572 Applications of Artificial Intelligence in Semiconductor Wafer Fabrication(半導體晶圓製造之人工智慧應用)

5572 - 半導體晶圓製造之人工智慧應用 Applications of Artificial Intelligence in Semiconductor Wafer Fabrication


教育目標 Course Target

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 the related technologies such as semiconductor crystal manufacturing, advanced intelligent manufacturing systems, IoT, large data, and artificial intelligence, etc., improve students' semiconductor industry knowledge and serve as a reference for future study or employment. . Understand the trends of semiconductor industry development . Understand the wafer factory operation, wafer process technology, production process, wafer production management and automatic production technology . Understand the development trends of IoT, cloud, large data, and artificial intelligence .Applications IoT, cloud, large data, and artificial intelligence technology to create advanced intelligent manufacturing systems for semiconductor crystal manufacturing .Learn how to perform Data Analysis, Machine Learning, Deep Learning program implementation


參考書目 Reference Books

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. Semiconductor Processing Technology Discussion, Zimao, Quanhua Book, Published in 2014.
2. Data mining and large data analysis, written by Simplified Fu, written by Xu Jiayu, published in 2014.
3. Related semiconductor manufacturing, large data, data analysis, and artificial intelligence reference papers.


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
總分總分
Total
100 學期總分

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Course Information

Description

學分 Credit:0-3
上課時間 Course Time:Friday/5,6,7[IEⅡ102]
授課教師 Teacher:張仁寬
修課班級 Class:工工碩博1,2
選課備註 Memo:IP7102。
授課大綱 Course Plan: Open

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