Course Syllabus

Course Information：

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

Spring Semester
Year 2026 359551 AI and Robotics 1 1.0 1 ★ Ho-Chiao Chuang MSAI 0 0 密集授課，先鋒1樓城市科學實驗室，2週【停開】

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	359551	AI and Robotics	1	1.0	1	★	Ho-Chiao Chuang	MSAI	0	0	密集授課，先鋒1樓城市科學實驗室，2週【停開】

Course Plan：

Instructor Ho-Chiao Chuang　Office Hours

Email hchuang@ntut.edu.tw

Last Updated 2026-01-08 16:56:25

Course Objective 上課地點: 先國際研發大樓一樓城市科學實驗室上課時間: 9週密集式授課，周二10:10-12:00 課程大綱: 本課程以實踐機器人和人工智慧應用為核心，採用美國麻省理工學院(MIT)的專案任務導向學習模式。透過結合講授、討論、實際應用和案分析，課程將會幫助學生深入理解人工智慧和機器人技術。學生有機會積極參與小組專案，透過情境思考實際應用所學知識，並親自操作機器學習工具和機器人平臺，以培養實際技能。 This course is designed for practical application of robotics and artificial intelligence (AI). It adopts the project-based learning model inspired by the Massachusetts Institute of Technology (MIT). The course combines lectures, discussions, practical applications, and case studies to provide students with an in-depth understanding of AI and robotics technology. Students will have the opportunity to engage in group projects, apply their knowledge in real-world scenarios, and gain hands-on experience with machine learning tools and robot platforms.

Course Schedule 第1週 ROS 2 與機器人架構第2週節點與 Topic 通訊第3週 ROS 2 控制與操作第4週 ROS2系統建構與機器人模擬第5週控制與硬體抽象第6週感測器整合與資料處理第7週應用案例分享：機器人操控與多機器人第8週專案進度與實作指導第9週專案展示與課程回顧

Evaluation and grading policy 個人每周實作作業(第1~5周) 30% 小組期中報告(第八周) 40% 成果展示 20% 課堂參與討論 10%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
本課程使用自編講義教材教學平台： Ubuntu 22.04 + ROS 2 Humble / Iron + TurtleBot 3

The access to curricular consultation 每周二上午 9-12點為 Office hours

Expanding teaching and resources

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG11：永續城市與社區（Sustainable Cities and Communities）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
1. 需自備電腦，安裝ROS2

Instructor	Ho-Chiao Chuang　Office Hours
Email	hchuang@ntut.edu.tw
Last Updated	2026-01-08 16:56:25
Course Objective	上課地點: 先國際研發大樓一樓城市科學實驗室上課時間: 9週密集式授課，周二10:10-12:00 課程大綱: 本課程以實踐機器人和人工智慧應用為核心，採用美國麻省理工學院(MIT)的專案任務導向學習模式。透過結合講授、討論、實際應用和案分析，課程將會幫助學生深入理解人工智慧和機器人技術。學生有機會積極參與小組專案，透過情境思考實際應用所學知識，並親自操作機器學習工具和機器人平臺，以培養實際技能。 This course is designed for practical application of robotics and artificial intelligence (AI). It adopts the project-based learning model inspired by the Massachusetts Institute of Technology (MIT). The course combines lectures, discussions, practical applications, and case studies to provide students with an in-depth understanding of AI and robotics technology. Students will have the opportunity to engage in group projects, apply their knowledge in real-world scenarios, and gain hands-on experience with machine learning tools and robot platforms.
Course Schedule	第1週 ROS 2 與機器人架構第2週節點與 Topic 通訊第3週 ROS 2 控制與操作第4週 ROS2系統建構與機器人模擬第5週控制與硬體抽象第6週感測器整合與資料處理第7週應用案例分享：機器人操控與多機器人第8週專案進度與實作指導第9週專案展示與課程回顧
Evaluation and grading policy	個人每周實作作業(第1~5周) 30% 小組期中報告(第八周) 40% 成果展示 20% 課堂參與討論 10%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 本課程使用自編講義教材教學平台： Ubuntu 22.04 + ROS 2 Humble / Iron + TurtleBot 3
The access to curricular consultation	每周二上午 9-12點為 Office hours
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG11：永續城市與社區（Sustainable Cities and Communities）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	1. 需自備電腦，安裝ROS2