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課程名稱 |
基於物聯網的機率風險分析
IoT-based Probabilistic Risk Analysis |
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開課學期 |
110-2 |
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授課對象 |
生物環境系統工程學系 |
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授課教師 |
廖國偉 |
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課號 |
BSE5184 |
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課程識別碼 |
602EU3250 |
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班次 |
01 |
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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 |
星期四2,3,4(9:10~12:10) |
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上課地點 |
農工金城 |
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備註 |
本課程以英語授課。
總人數上限：25人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1102BSE5184_01 |
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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 |
IoT-based probabilistic risk analysis |
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課程目標 |
This course intend to utilize the information (such as environmental factors) collected from IoT for reliability analysis to measure uncertainty and assess risks in the target environments; IoT related contents such as topics of MCU, SENSOR and TCP will be provided, followed by introducing two main probabilistic analysis tools, moment-based & simulation-based reliability analysis. |
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課程要求 |
待補 |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
A. Probability, Reliability, and Statistical Methods in Engineering Design
Achintya Haldar, Sankaran Mahadevan
B. Probability Concepts in Engineering Planning and Design, Vol. 2: Decision, Risk, and Reliability, Alfredo Hua-Sing Ang and Wilson H. Tang
C. Bucher, C. G. (1988). Adaptive sampling—an iterative fast Monte Carlo procedure. Structural safety, 5(2), 119-126.
D. Fattah, H. (2018). 5G LTE Narrowband Internet of Things (NB-IoT). CRC Press.
E. Au, S. K., & Beck, J. L. (2001). Estimation of small failure probabilities in high dimensions by subset simulation. Probabilistic engineering mechanics, 16(4), 263-277.
F. B. Probability Concepts in Engineering Planning and Design, Vol. 1: Basic Principles, Alfredo Hua-Sing Ang and Wilson H. Tang
G. Liao, K. W., Fan, J. C., & Huang, C. L. (2011). An artificial neural network for groutability prediction of permeation grouting with microfine cement grouts. Computers and Geotechnics, 38(8), 978-986.
Week 1: A. Chapter 1~2
Week 2: A. Chapter 3~4
Week 3: A. Chapter 7
Week 4: A. Chapter 9, B. Chapter 5
Week 5~6: C.
Week 7~9: D.
Week 10~11: E.
Week 12~13: F. Chapter 8
Week 14: F. G.
Week 15: A. Chapter 7
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參考書目 |
待補 |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第1週 |
2/17 |
Review of probability theory (1) |
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第2週 |
2/24 |
Review of probability theory (2) |
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第3週 |
3/03 |
FOSM and FORM |
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第4週 |
3/10 |
MCS and Latin Hypercube methods |
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第5週 |
3/17 |
Importance Sampling (1) |
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第6週 |
3/24 |
Importance Sampling (2) |
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第7週 |
3/31 |
NB-IoT and Lora (1) |
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第8週 |
4/07 |
NB-IoT and Lora (2) |
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第9週 |
4/14 |
NB-IoT and Lora (3) |
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第10週 |
4/21 |
Bayesian approach (1) |
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第11週 |
4/28 |
Bayesian approach (2) |
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第12週 |
5/05 |
Markov Chain and Subset Simulation (1) |
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第13週 |
5/12 |
Markov Chain and Subset Simulation (2) |
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第14週 |
5/19 |
Surrogate model-based reliability analysis |
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第15週 |
5/26 |
System reliability analysis |
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第16週 |
6/02 |
Final report |
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