Course Syllabus

Course Information：

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

Fall Semester
Year 2026 366195 Artificial Intelligence of Things and Applications 1 3.0 3 ★ TSUI PENG 4IFM3 22 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	366195	Artificial Intelligence of Things and Applications	1	3.0	3	★	TSUI PENG	4IFM3	22	0

Course Plan：

Instructor TSUI PENG　Office Hours

Email johnpeng@mail.ntut.edu.tw

Last Updated 2026-06-11 00:08:27

Course Objective 人工智慧物聯網課程將物聯網的感測器與感測網路、邊緣閘道、雲端服務與存取裝置，結合機器學習、深度學習及智慧分析技術，協同建構從端到端的智慧應用，涵蓋無人商店與智慧支付、遠距醫療與照護、智慧製造與智慧家庭等多元場景。本課程著重於人工智慧在裝置與服務設計中的關鍵角色，並透過實務案例與專題討論，培養學生規劃並開發創新智慧物聯網解決方案的能力。在專案學習部分將使用Nvidia Jetson 的平台並搭配自主輪型機器人的開發。 The AIoT course integrates sensors and sensor networks, edge gateways, cloud services, and user access devices with machine learning, deep learning, and intelligent analytics to jointly build end-to-end smart applications. These applications cover a variety of domains such as Unmanned stores and smart payment, remote healthcare and telemedicine, smart manufacturing, and smart home systems. This course emphasizes the pivotal role of AI in device and service design, and through practical case studies and project discussions, aims to equip students with the ability to plan and develop innovative intelligent IoT solutions. The Nvidia Jetson platform and AI mobile car will used for project-based learning.

Course Schedule week 1 Course Introduction week 2 AIoT technology introduction week 3 AIoT Business Applications week 4-6 AIoT Devices development week 7-8 AIoT Service development (1) week 9 Mid-term report week10-11 AIoT Service development (2) week 12-16 AIoT Business Application Topics week 17-18 Group project presentation

Evaluation and grading policy • Homework, class participation: 30% • Midterm report & presentation: 30% • Final project: 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
Online-contents, please refer https://sites.google.com/view/aiot-application/home

The access to curricular consultation johnpeng@ntut.edu.tw

the course website will be listed on
https://tipeng.wixsite.com/school/

Expanding teaching and resources ● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG3：良好健康和福祉（Good Health and Well-being）
SDG4：優質教育（Quality Education）
SDG7：可負擔的潔淨能源（Affordable and Clean Energy）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
SDG13：氣候行動（Climate Action）

Does the course incorporate AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

Note
　

Instructor	TSUI PENG　Office Hours
Email	johnpeng@mail.ntut.edu.tw
Last Updated	2026-06-11 00:08:27
Course Objective	人工智慧物聯網課程將物聯網的感測器與感測網路、邊緣閘道、雲端服務與存取裝置，結合機器學習、深度學習及智慧分析技術，協同建構從端到端的智慧應用，涵蓋無人商店與智慧支付、遠距醫療與照護、智慧製造與智慧家庭等多元場景。本課程著重於人工智慧在裝置與服務設計中的關鍵角色，並透過實務案例與專題討論，培養學生規劃並開發創新智慧物聯網解決方案的能力。在專案學習部分將使用Nvidia Jetson 的平台並搭配自主輪型機器人的開發。 The AIoT course integrates sensors and sensor networks, edge gateways, cloud services, and user access devices with machine learning, deep learning, and intelligent analytics to jointly build end-to-end smart applications. These applications cover a variety of domains such as Unmanned stores and smart payment, remote healthcare and telemedicine, smart manufacturing, and smart home systems. This course emphasizes the pivotal role of AI in device and service design, and through practical case studies and project discussions, aims to equip students with the ability to plan and develop innovative intelligent IoT solutions. The Nvidia Jetson platform and AI mobile car will used for project-based learning.
Course Schedule	week 1 Course Introduction week 2 AIoT technology introduction week 3 AIoT Business Applications week 4-6 AIoT Devices development week 7-8 AIoT Service development (1) week 9 Mid-term report week10-11 AIoT Service development (2) week 12-16 AIoT Business Application Topics week 17-18 Group project presentation
Evaluation and grading policy	• Homework, class participation: 30% • Midterm report & presentation: 30% • Final project: 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Online-contents, please refer https://sites.google.com/view/aiot-application/home
The access to curricular consultation	johnpeng@ntut.edu.tw the course website will be listed on https://tipeng.wixsite.com/school/
Expanding teaching and resources	● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG3：良好健康和福祉（Good Health and Well-being） SDG4：優質教育（Quality Education） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG13：氣候行動（Climate Action）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
Note