Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2024 331572 Infrastructure IoT to Green-Intelligent and Resilient Construction 1 3.0 3 ★ Chen,Li-Hsien 4CE4A
4CE4B
4CE3A
4CE3B 4 1 土木三四甲乙和防災所合開/大學部上限12人/土木205

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	331572	Infrastructure IoT to Green-Intelligent and Resilient Construction	1	3.0	3	★	Chen,Li-Hsien	4CE4A 4CE4B 4CE3A 4CE3B	4	1	土木三四甲乙和防災所合開/大學部上限12人/土木205

Course Plan：

Instructor Chen,Li-Hsien　Office Hours

Email lhchen@mail.ntut.edu.tw

Last Updated 2024-01-22 23:45:00

Course Objective 為使土木營建背景的學生具備跨域學習與創用能力，本課程扣合當前重要時趨(如SDGs, ESG, LCA, USR等)於民生基礎建設之因應；擇採相關物聯網數位科技作為課程編排，介紹內容如無線感測、低工耗遠域網路邊緣運算、雲端管理、數位平台、綠能蓄電、人工智能、低/無代碼等專案開發的理與例，以符綠智營建之踐履，以臻永續經管之倡議。為求哲科合一，課程亦將思與學之認識與方法作簡扼介紹(系統思考與問題導向學習)。 To achieve interdisciplinary learning and Innovative creativity for civil engineering students, this course presents the Internet of Things (IoT) to social infrastructure development including green-intelligent construction/maintenance and resilient adaptation briefly. To aim at the initiate of sustainable development goals (such as SDGs, ESG, LCA, USR) applied to civil engineering, some vital issues in this course would be focused as follows, WSN (Wireless Network), LPWAN (Low Power Wide-Area Network), Edge Computing, e-Cloud Management, Digitized Platform (PaaS/IaaS/SaaS), Green Energy and Cell, Artificial Intelligences, Low- & No-code techniques, etc. Meanwhile, Systems Thinking (ST) and Problem-based Learning (PBL) , which are crucial for philosophy of science, would be introduced for this holistic approach.

Course Schedule 週次/Week 1: 單元主題/Topic 1. Introduction 概論: 介紹學思(問題導向學習PBL與系統思考ST); 及哲科習得五部曲: 供/需, 昔/今, 理/例, 因/果, 信/效週次/Week 2: 單元主題/Topic 2a. 土木營建與民生基礎建設之演替與需求(I) 週次/Week 3: 單元主題/Topic 2b. 土木營建與民生基礎建設之演替與需求(II) 週次/Week 4: 單元主題/Topic 3. 介紹人工智能 AI (I) 週次/Week 5: 單元主題/Topic 3. 介紹人工智能 AI (II) 週次/Week 6: 單元主題/Topic 4a. 介紹物聯網 IoT (I) 週次/Week 7: 單元主題/Topic 4b. 介紹物聯網 IoT (II) 週次/Week 8: 單元主題/Topic 5. 介紹物聯網 IoT (III) 週次/Week 9: 期中討論: 期末專案 Final Project (個人或組隊) 週次/Week 10: 單元主題/Topic 5. 應用案例介紹與專家分享 (1) 週次/Week 11: 單元主題/Topic 5. 應用案例介紹與專家分享 (2) 週次/Week 12: 單元主題/Topic 6. 應用案例介紹與專家分享 (3) 週次/Week 13: 單元主題/Topic 6. 應用案例介紹與專家分享 (4) 週次/Week 14: 單元主題/Topic 6. 應用案例介紹與專家分享 (5) 週次/Week 15: 單元主題/Topic 7. 應用案例介紹與專家分享 (6) 週次/Week 16: 單元主題/Topic 7. 期末專案 (Presentation) (1) 週次/Week 17: 單元主題/Topic 7. 期末專案 (Presentation) (2) 週次/Week 18: 單元主題/Topic 8. 期末專案 (Report)

Evaluation and grading policy 平時課堂作業或小考 35 %, 期末簡報與書面報告 65 % (全勤: Bonus 5%, 無故缺課1次扣 1 %)

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材與指定讀物

The access to curricular consultation 請於每學期公佈之諮詢時間, 先以學校網站任課老師的e-mail告知前來討論時日與問題概述, 經與老師確認後前來面議或逕由e-mail回覆。

The course corresponds to the SDGs

Note
SDG9, 11

Instructor	Chen,Li-Hsien　Office Hours
Email	lhchen@mail.ntut.edu.tw
Last Updated	2024-01-22 23:45:00
Course Objective	為使土木營建背景的學生具備跨域學習與創用能力，本課程扣合當前重要時趨(如SDGs, ESG, LCA, USR等)於民生基礎建設之因應；擇採相關物聯網數位科技作為課程編排，介紹內容如無線感測、低工耗遠域網路邊緣運算、雲端管理、數位平台、綠能蓄電、人工智能、低/無代碼等專案開發的理與例，以符綠智營建之踐履，以臻永續經管之倡議。為求哲科合一，課程亦將思與學之認識與方法作簡扼介紹(系統思考與問題導向學習)。 To achieve interdisciplinary learning and Innovative creativity for civil engineering students, this course presents the Internet of Things (IoT) to social infrastructure development including green-intelligent construction/maintenance and resilient adaptation briefly. To aim at the initiate of sustainable development goals (such as SDGs, ESG, LCA, USR) applied to civil engineering, some vital issues in this course would be focused as follows, WSN (Wireless Network), LPWAN (Low Power Wide-Area Network), Edge Computing, e-Cloud Management, Digitized Platform (PaaS/IaaS/SaaS), Green Energy and Cell, Artificial Intelligences, Low- & No-code techniques, etc. Meanwhile, Systems Thinking (ST) and Problem-based Learning (PBL) , which are crucial for philosophy of science, would be introduced for this holistic approach.
Course Schedule	週次/Week 1: 單元主題/Topic 1. Introduction 概論: 介紹學思(問題導向學習PBL與系統思考ST); 及哲科習得五部曲: 供/需, 昔/今, 理/例, 因/果, 信/效週次/Week 2: 單元主題/Topic 2a. 土木營建與民生基礎建設之演替與需求(I) 週次/Week 3: 單元主題/Topic 2b. 土木營建與民生基礎建設之演替與需求(II) 週次/Week 4: 單元主題/Topic 3. 介紹人工智能 AI (I) 週次/Week 5: 單元主題/Topic 3. 介紹人工智能 AI (II) 週次/Week 6: 單元主題/Topic 4a. 介紹物聯網 IoT (I) 週次/Week 7: 單元主題/Topic 4b. 介紹物聯網 IoT (II) 週次/Week 8: 單元主題/Topic 5. 介紹物聯網 IoT (III) 週次/Week 9: 期中討論: 期末專案 Final Project (個人或組隊) 週次/Week 10: 單元主題/Topic 5. 應用案例介紹與專家分享 (1) 週次/Week 11: 單元主題/Topic 5. 應用案例介紹與專家分享 (2) 週次/Week 12: 單元主題/Topic 6. 應用案例介紹與專家分享 (3) 週次/Week 13: 單元主題/Topic 6. 應用案例介紹與專家分享 (4) 週次/Week 14: 單元主題/Topic 6. 應用案例介紹與專家分享 (5) 週次/Week 15: 單元主題/Topic 7. 應用案例介紹與專家分享 (6) 週次/Week 16: 單元主題/Topic 7. 期末專案 (Presentation) (1) 週次/Week 17: 單元主題/Topic 7. 期末專案 (Presentation) (2) 週次/Week 18: 單元主題/Topic 8. 期末專案 (Report)
Evaluation and grading policy	平時課堂作業或小考 35 %, 期末簡報與書面報告 65 % (全勤: Bonus 5%, 無故缺課1次扣 1 %)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材與指定讀物
The access to curricular consultation	請於每學期公佈之諮詢時間, 先以學校網站任課老師的e-mail告知前來討論時日與問題概述, 經與老師確認後前來面議或逕由e-mail回覆。
The course corresponds to the SDGs
Note	SDG9, 11