查詢教學大綱與進度

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

114-2 360301 營建自動化概論 1 2.0 2 ★ 林祐正土木三甲
土木三乙 25 0 土木三甲乙合開

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-2	360301	營建自動化概論	1	2.0	2	★	林祐正	土木三甲土木三乙	25	0	土木三甲乙合開

教學大綱與進度：

教師姓名林祐正　教師諮商時間(Office Hours)

Email yclin@ntut.edu.tw

最後更新時間 2026-03-05 13:05:49

課程大綱 This course introduces fundamental concepts and applications of automation and intelligent technologies in the construction industry. Topics include construction robotics, smart materials, sensing and Internet of Things (IoT), Building Information Modeling (BIM), Robotics, and artificial intelligence (AI) for construction automation. Through case studies and practical examples, students will understand how construction automation enhances productivity, safety, and resilience in construction and building projects.

課程進度 Major topics of this course 1. Introduction to Construction and Building Automation 2. Automation in construction Site 3. Hardware for Construction and Building Automation 4. Software for Construction and Building Automation 5. Applications of Construction and Building Automation 6. BIM for Construction and Building Automation 7. AI-based Application for Construction and Building Automation 8. Robotics for Construction and Building Automation 9. The Special Topic for Construction and Building Automation 10. Case Studies for Construction and Building Automation

評量方式與標準 1. Attendance (10%) 2. Assignments (60%) 3. Final project presentation (10%) and final project report (20%)

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
References: Noroozinejad Farsangi, E., Noori, M., Yang, T. T. Y., Lourenço, P. B., Gardoni, P., Takewaki, I., Chatzi, E., & Li, S. (Eds.). (Year). Automation in construction toward resilience: Robotics, smart materials and intelligent systems (1st ed.). Routledge.

課程諮詢管道 Use e-mail to confirm the time for discussion.

延伸教學與資源 ● 無 (None)

課程對應SDGs指標 SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG11：永續城市與社區（Sustainable Cities and Communities）

課程是否導入AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

備註

教師姓名	林祐正　教師諮商時間(Office Hours)
Email	yclin@ntut.edu.tw
最後更新時間	2026-03-05 13:05:49
課程大綱	This course introduces fundamental concepts and applications of automation and intelligent technologies in the construction industry. Topics include construction robotics, smart materials, sensing and Internet of Things (IoT), Building Information Modeling (BIM), Robotics, and artificial intelligence (AI) for construction automation. Through case studies and practical examples, students will understand how construction automation enhances productivity, safety, and resilience in construction and building projects.
課程進度	Major topics of this course 1. Introduction to Construction and Building Automation 2. Automation in construction Site 3. Hardware for Construction and Building Automation 4. Software for Construction and Building Automation 5. Applications of Construction and Building Automation 6. BIM for Construction and Building Automation 7. AI-based Application for Construction and Building Automation 8. Robotics for Construction and Building Automation 9. The Special Topic for Construction and Building Automation 10. Case Studies for Construction and Building Automation
評量方式與標準	1. Attendance (10%) 2. Assignments (60%) 3. Final project presentation (10%) and final project report (20%)
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 References: Noroozinejad Farsangi, E., Noori, M., Yang, T. T. Y., Lourenço, P. B., Gardoni, P., Takewaki, I., Chatzi, E., & Li, S. (Eds.). (Year). Automation in construction toward resilience: Robotics, smart materials and intelligent systems (1st ed.). Routledge.
課程諮詢管道	Use e-mail to confirm the time for discussion.
延伸教學與資源	● 無 (None)
課程對應SDGs指標	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG11：永續城市與社區（Sustainable Cities and Communities）
課程是否導入AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
備註