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 332509 AI and Robotics 1 1.0 1 ★ Ho-Chiao Chuang GEECS
MSAI 8 0 密集授課,需自備電腦與python 3 環境，須具備ROS基礎

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	332509	AI and Robotics	1	1.0	1	★	Ho-Chiao Chuang	GEECS MSAI	8	0	密集授課,需自備電腦與python 3 環境，須具備ROS基礎

Course Plan：

Instructor Ho-Chiao Chuang　Office Hours

Email hchuang@ntut.edu.tw

Last Updated 2024-05-23 12:44:43

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: 密集式授課(共九周、每周三第八節、第九節) 備註: 教學以實作課程為主，選課人數超過15人將以面試篩選學生。學生自備: 電腦及Python3 環境課程大綱: 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 the 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 1 遇見機器人+基礎操作 2 機器人硬體設計+基礎操作 3 深入Spot+基礎操作 4 環境感知+基礎操作 5 了解Spot自動化1+基礎操作 6 了解Spot自動化2+基礎操作 7 Spot起舞+基礎操作 8 Spot編舞+基礎操作 9 成果展示

Evaluation and grading policy 出席率： 10% 期末展示： 50% 課堂表現： 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
本課程使用自編講義教材 [1] How to Make (Almost) Anything [2] MAS.863 (2019) , (2020) [3] Final Project

The access to curricular consultation 每周二上午 9-12點為 Office hours
第17、18周課程諮詢管道 Line ID: hochiao0917 與線上課程為 https://meet.google.com/kre-kjaz-uza

The course corresponds to the SDGs

Note
　

Instructor	Ho-Chiao Chuang　Office Hours
Email	hchuang@ntut.edu.tw
Last Updated	2024-05-23 12:44:43
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: 密集式授課(共九周、每周三第八節、第九節) 備註: 教學以實作課程為主，選課人數超過15人將以面試篩選學生。學生自備: 電腦及Python3 環境課程大綱: 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 the 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	1 遇見機器人+基礎操作 2 機器人硬體設計+基礎操作 3 深入Spot+基礎操作 4 環境感知+基礎操作 5 了解Spot自動化1+基礎操作 6 了解Spot自動化2+基礎操作 7 Spot起舞+基礎操作 8 Spot編舞+基礎操作 9 成果展示
Evaluation and grading policy	出席率： 10% 期末展示： 50% 課堂表現： 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 本課程使用自編講義教材 [1] How to Make (Almost) Anything [2] MAS.863 (2019) , (2020) [3] Final Project
The access to curricular consultation	每周二上午 9-12點為 Office hours 第17、18周課程諮詢管道 Line ID: hochiao0917 與線上課程為 https://meet.google.com/kre-kjaz-uza
The course corresponds to the SDGs
Note