5573 - 半導體晶圓製造之人工智慧應用
Applications of Artificial Intelligence in Semiconductor
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
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.
參考書目 Reference Books
半導體製造技術與管理
Semiconductor Manufacturing Technology and Management
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
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作業／習題練習 Homework/exercise exercises |
20 | |
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課堂分組討論 Classroom group discussion |
20 | |
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專題報告 Special report |
30 | |
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期中、期末 Mid-term, end-of-term |
20 | |
|
課程參與度(出席率) Course participation (attendance rate) |
10 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5573
- 學分 Credit: 0-3
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上課時間 Course Time:Tuesday/2,3,4[IEⅡ102]
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授課教師 Teacher:張仁寬
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修課班級 Class:工工碩博1,2
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