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課程名稱 |
製造數據科學
Manufacturing Data Science |
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開課學期 |
110-1 |
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授課對象 |
管理學院 資訊管理學研究所 |
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授課教師 |
李家岩 |
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課號 |
IM5055 |
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課程識別碼 |
725 U3660 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期五2,3,4(9:10~12:10) |
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上課地點 |
管二103 |
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備註 |
限學士班三年級以上
總人數上限：70人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
MDS course supports students learning how to apply artificial intelligence (AI), machine learning, data science (DS) techniques to improve the effectiveness and efficiency of the manufacturing systems. MDS integrates the knowledge domains of the information, engineering, and management. Encourage students to solve the real problem systematically using the design of analytics, from descriptive, diagnostic, predictive, prescriptive to automating, for successfully enhancing decision quality.
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欲加簽同學請參考 NTU COOL 上 week 1 之相關內容 (https://cool.ntu.edu.tw/courses/9091)。
For registration information, please refer to week 1 contents on NTU COOL (https://cool.ntu.edu.tw/courses/9091). |
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課程目標 |
1. Learn the statistical learning and optimization methodologies for intelligent manufacturing systems
2. Create a prototype model to solve the problem in real setting related to manufacturing or service systems
3. Develop the research skills and prepare a analytical project report |
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課程要求 |
1. It's better to have prerequisite courses: (1) probability and statistics; (2) operations research
2. Python programming skills
3. Students need to read literature and develop analytical model for term project |
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預期每週課後學習時數 |
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Office Hours |
備註： TBD |
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指定閱讀 |
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參考書目 |
Hastie, T., R. Tibshirani, and J. Friedman (2009), The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed., Springer.
Hillier, F. S., Lieberman, G. J. (2010), Introduction to Operations Research, 9th ed., McGraw-Hill, New York.
Hopp, W. and M. Spearman (2011), Factory Physics, 3rd ed., Waveland Press.
Montgomery, D. C. (2013), Introduction to Statistical Quality Control, 7 ed.: John Wiley & Sons, Inc.
Nahmias, S. (2008), Production and Operations Analysis, 6th ed., McGraw-Hill/Irwin.
Pinedo, M. L. (2016), Scheduling: Theory, Algorithms, and Systems, 5th edition, Springer-Verlag New York. |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
Homework Assignment |
40% |
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2. |
Term Project |
30% |
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3. |
Final Exam |
30% |
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