教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
113-2	342134	網路可靠度	1	3.0	3	★	張秉宸	工管所	21	0

教學大綱與進度：

教師姓名	張秉宸　教師諮商時間(Office Hours)
Email	pcchang@ntut.edu.tw
最後更新時間	2024-12-16 18:24:37
課程大綱	本課程著重於隨機流量網路(stochastic flow network)的可靠度評估、分析和決策。在整個課程中，我們將介紹與隨機流量網路相關的數值分析方法、模擬技術和最佳化問題。此外，我們將在隨機流量網路模型的框架內深入探討最快路徑、多商品、路由政策和負載管理問題等主題。學生將有機會將這些方法和模型應用到實際系統中，包括電腦網路、電信、城市交通系統、電力傳輸網路和製造系統。 This course emphasizes the reliability evaluation, analysis, and decision-making aspects of stochastic flow networks. Throughout the course, we will introduce analytical methodologies, simulation techniques, and optimization problems related to stochastic flow networks. Furthermore, we will delve into topics like quickest path, multi-commodity, routing policies, and load management issues within the framework of stochastic flow network models. Students will have the opportunity to apply these methodologies and models to practical systems, including computer networks, telecommunications, urban traffic systems, power transmission networks, and manufacturing systems.
課程進度	Week 1: Introduction Week 2: The basic concept of network reliability Week 3: MP-based reliability evaluation Week 4: MC-based reliability evaluation Week 5: QP-based reliability evaluation Weeks 6-7: Simulation in network reliability Weeks 8-9: Paper presentation for relevant works Week 10: Maintainable network – Estimate and exact solutions Weeks 11-13: Manufacturing network Week 14: Stochastic project network Week 15: Optimization/AI issues in network reliability Weeks 16-18: Final presentation
評量方式與標準	Class Participation 30% Paper Presentation 30% Final Presentation 40%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：否 Materials from SCI journal papers.
課程諮詢管道	18th week: In-class discussion if needed Students may contact me by Email. Office hour: Mon. 10:00 - 12:00; Wed. 13:00 - 17:00
延伸教學與資源
課程對應SDGs指標	SDG12：負責任的消費與生產（Responsible Consumption and Production）
課程是否導入AI
備註