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 360425 Intelligent Applications of Internet of Things 1 3.0 3 ★ CHEN,YAN-ANN 4EN3A
4EN3B 15 0 電子大三合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	360425	Intelligent Applications of Internet of Things	1	3.0	3	★	CHEN,YAN-ANN	4EN3A 4EN3B	15	0	電子大三合開

Course Plan：

Instructor CHEN,YAN-ANN　Office Hours

Email chenya@ntut.edu.tw

Last Updated 2026-02-12 15:40:29

Course Objective 本課程的主要目的在教授學生機器學習、大數據等人工智慧技術，並使用在物聯網的創新與應用上。課程內容包括：人工智慧概論、大數據方法、機器學習方法、資料探勘方法、最佳化方法、物聯網概論、影音處理、雲端技術、物聯網系統實作等。 Internet of Things (IoT) serves as the framework for collecting data and control devices in real-life, while artificial intelligence (AI) provides many algorithms that enable machines to think. As a result, AI and IoT are inseparable when building an intelligent system. This course will introduce the components of IoT and AI through hands-on experiments, covering the use of edge devices, sensor information collection, device actuation, and sensor data analysis, ultimately leading to the creation of an AIoT application. Furthermore, this course is project-oriented, and students will need to use the knowledge gained from lab experiments and develop a project that involves virtual computing and physical interaction.

Course Schedule
(Week 1-16) W1. 簡介 (Introduction) W2. 基本Python程式 (Python Basics) W3. 樹莓派基本介紹 (Raspberry Pi Basics) W4. 通用輸出數入 (General Purpose Input/Output) W5-6. 短距訊號傳遞 (Short-range Communications) W7. 雲端平台整合 (Cloud Integration) W8. 期中考試 W9. 影像感測整合 (Camera) W10. 電腦視覺與物件辨識 (Computer Vision & Object Detection) W11. 智慧音箱系統 (Smart Speaker) W12. 小型自走車實驗 (Autonomous Car) W13. 健康促進專題 (Health Promotion) W14. 邊緣人工智慧 (Edge AI) W15. 藍芽信標 (Bluetooth Beacon) W16. 進階樹莓派系統 (Advanced Syste) W17-18. 期末專題 (Final Project)

Evaluation and grading policy 作業成績 Labs 40% 期中考 Midterm Exam 20% 期末專題 Final Project 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自訂投影片講義 self-made materials

The access to curricular consultation 電子郵件或課堂討論
E-mail or in-person classes

Expanding teaching and resources

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

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）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

Note
　

Instructor	CHEN,YAN-ANN　Office Hours
Email	chenya@ntut.edu.tw
Last Updated	2026-02-12 15:40:29
Course Objective	本課程的主要目的在教授學生機器學習、大數據等人工智慧技術，並使用在物聯網的創新與應用上。課程內容包括：人工智慧概論、大數據方法、機器學習方法、資料探勘方法、最佳化方法、物聯網概論、影音處理、雲端技術、物聯網系統實作等。 Internet of Things (IoT) serves as the framework for collecting data and control devices in real-life, while artificial intelligence (AI) provides many algorithms that enable machines to think. As a result, AI and IoT are inseparable when building an intelligent system. This course will introduce the components of IoT and AI through hands-on experiments, covering the use of edge devices, sensor information collection, device actuation, and sensor data analysis, ultimately leading to the creation of an AIoT application. Furthermore, this course is project-oriented, and students will need to use the knowledge gained from lab experiments and develop a project that involves virtual computing and physical interaction.
Course Schedule (Week 1-16)	W1. 簡介 (Introduction) W2. 基本Python程式 (Python Basics) W3. 樹莓派基本介紹 (Raspberry Pi Basics) W4. 通用輸出數入 (General Purpose Input/Output) W5-6. 短距訊號傳遞 (Short-range Communications) W7. 雲端平台整合 (Cloud Integration) W8. 期中考試 W9. 影像感測整合 (Camera) W10. 電腦視覺與物件辨識 (Computer Vision & Object Detection) W11. 智慧音箱系統 (Smart Speaker) W12. 小型自走車實驗 (Autonomous Car) W13. 健康促進專題 (Health Promotion) W14. 邊緣人工智慧 (Edge AI) W15. 藍芽信標 (Bluetooth Beacon) W16. 進階樹莓派系統 (Advanced Syste) W17-18. 期末專題 (Final Project)
Evaluation and grading policy	作業成績 Labs 40% 期中考 Midterm Exam 20% 期末專題 Final Project 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自訂投影片講義 self-made materials
The access to curricular consultation	電子郵件或課堂討論 E-mail or in-person classes
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
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） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note