物聯網智慧應用

臺北科技大學 114-2 學期課程，課號 360425。

課程大綱

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.

課程進度

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)

評量方式

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

教材

【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 自訂投影片講義 self-made materials