本課程的核心目標在於培養學生具備人工智慧物聯網系統設計、開發與應用的專業能力，並緊密結合新興科技趨勢，提升學生的實務操作與創新思維。本課程專為大三及大四學生設計，目的在因應未來產業對跨領域整合人才的需求。課程首先著重於導入前瞻性的行動通訊技術，特別是 3GPP NTN (Non-Terrestrial Networks) 與 DVB-S2 衛星通訊技術，並將其與無人機應用相結合，讓學生能掌握 AIoT 領域最新的發展趨勢與實際應用。為強化學生的實戰能力，課程將涵蓋從傳統的 MQTT、HTTP 到新世代的 CoAP 與 QUIC...等多種物聯網通訊協定，並擴展對國內 IoTtalk 與國際主流 AWS IoT...等多個雲端平台的應用與整合 \。在人工智慧方面，課程新增了利用大型語言模型輔助開發 AIoT 應用的單元，涵蓋其基礎、程式碼生成到數據分析等多個面向 。此外，課程也將 AIoT 系統的資安威脅與防護主題納入其中，建構學生完整的系統安全觀念。本課程強調做中學，所有理論知識都將透過實驗、實作作業及期末專題來鞏固。學生將在專題中實際操作，整合所學的物聯網硬體、5G 通訊技術、雲端平台與 AI 應用，設計並開發出具創新性的智慧應用系統，從而將理論知識轉化為解決具體問題的實際技能，為未來投入相關產業或進一步深造奠定堅實的基礎 。The core goal of this course is to cultivate students' professional ability to design, develop and apply artificial intelligence network system, and to closely integrate new technological trends to improve students' practical operations and innovative thinking. This course is designed for junior and senior students, with the goal of responding to the future industry's needs for integrating talents across regions. The course first focuses on introducing forward-looking mobile communication technology, especially 3GPP NTN (Non-Terrestrial Networks) and DVB-S2 satellite communication technology, and combines it with unmanned applications, allowing students to master the latest development trends and actual applications in the AIoT field. To enhance students' combat capabilities, the course will cover network communication agreements from traditional MQTT, HTTP to new generation CoAP and QUIC, etc., and expand the application and integration of multiple cloud platforms such as domestic IoTtalk and mainstream AWS IoT. In terms of artificial intelligence, the course has added a unit that uses large language models to help develop AIoT applications, covering its basics, code generation and data analysis, and other aspects. In addition, the course also includes the security and protection themes of AIoT systems, and constructs students' complete system security concepts. This course emphasizes learning in the middle, and all theoretical knowledge will be consolidated through experience, practice and final topics. Students will operate in the topics, integrate the learned Internet of Things hardware, 5G communication technology, cloud platform and AI applications, design and develop innovative smart application systems, and transform theoretical knowledge into practical skills to solve specific problems, laying the foundation for future investment in related industries or further study.
自編教材
Self-edited textbooks
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課堂參與課堂參與 Class Participation |
10 | |
| 期中考期中考 Midterm exam |
25 | |
| 實驗與作業實驗與作業 Experiment and operation |
40 | |
| 期末專題期末專題 Final topics |
25 |
