6757 - 智慧化食品品質管制
Intelligent Food Quality Control
教育目標 Course Target
課程前半段先建立食品品質管制基本研究方法，後半段透過人工智慧結合IOT相關技術，可讓生產線上不良品的檢測流程進一步優化和調整，也可以應用在食品品質管制的領域中，其相關研發人員必須具備的"智慧影像辨識"技術，將在本課程當中做一深入淺出的學理介紹，並讓學生可以建立訓練模型，以及實際操作相關儀器設備以了解實務運用
The first half of the course is to establish basic research methods for food quality control. The second half of the course is to combine artificial intelligence with IOT-related technologies, which can further optimize and adjust the testing process of online defective products. It can also be applied in the field of food quality control. The "smart image identification" technology that relevant research and development personnel must have will provide an in-depth and pure scientific introduction in this course, and students can establish training models and actually operate relevant instrument equipment to understand practical use.
參考書目 Reference Books
1. Introduction to statistical quality control, 8/e, by Douglas C. Montgomery.
2.楊慶忠，資料科學、智慧影像辨識與自然語言處理：Python+tf.Keras。
3.徐雅甄等，智慧商業管理，滄海書局，2022年。
1. Introduction to statistical quality control, 8/e, by Douglas C. Montgomery.
2. Yang Qingzhong, data science, intelligent image identification and natural language processing: Python+tf.Keras.
3. Xu Yazhen et al., Smart Business Management, Huahai Books Bureau, 2022.
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
期中考 Midterm exam |
30 | |
|
期末報告 Final report |
40 | |
|
課堂參與(作業與小考) Class Participation (work and exam) |
30 |
授課大綱 Course Plan
點擊下方連結查看詳細授課大綱
Click the link below to view the detailed course plan
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: 6757
- 學分 Credit: 3-0
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上課時間 Course Time:Wednesday/5,6,7[食加廠]
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授課教師 Teacher:徐雅甄
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修課班級 Class:食科系3,4,碩1,2
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選課備註 Memo:大三可修。
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