邊緣運算與智慧網路系統

臺北科技大學 115-1 學期課程，課號 364895。

課程大綱

本課程探討邊緣運算（Edge Computing）於現代分散式系統與智慧網路中的核心角色，強調從傳統雲端架構轉向「雲–邊–端協同（Cloud–Edge–Device Continuum）」之設計思維。課程內容涵蓋邊緣架構設計、資源配置與任務卸載（offloading）、邊緣人工智慧（Edge AI）、以及與5G/6G通訊系統之整合。此外，課程將深入探討低延遲應用（如智慧製造、AR/VR、自駕車）、邊緣資料分析、隱私保護與安全機制，並介紹容器化（containerization）、微服務（microservices）與邊緣原生（edge-native）系統設計。透過論文文獻研讀與專題實作，使學生具備設計與實現新世代邊緣智慧系統之能力。 This course explores the principles and emerging trends of edge computing in modern distributed and intelligent network systems. It focuses on the paradigm shift from centralized cloud computing to the Cloud–Edge–Device continuum, enabling low-latency, real-time, and context-aware services. Topics include edge architecture design, resource management, task offloading, edge AI, federated learning, and integration with 5G/6G networks. The course also covers edge analytics, security and privacy, and cloud-native technologies such as containers and microservices. Students will engage in paper reading and hands-on projects to develop advanced edge-enabled intelligent systems.

課程進度

Week 1 Introduction to Edge Computing and Emerging Applications Week 2 Cloud–Edge–Device Continuum Architecture Week 3 Containerization and Edge Computing Platforms Week 4 Resource Management and Service Deployment Week 5 SDN and NFV Technologies Week 6 Intelligent Networking and Traffic Management Week 7 Research Topics, Literature Search, and Paper Reading Week 8 Project Proposal Presentation Week 9 Edge AI and Model Deployment Week 10 Task Offloading and Computation Migration Week 11 Federated Learning and Distributed Intelligence Week 12 Security and Privacy in Edge Computing Week 13 5G/6G and Multi-access Edge Computing (MEC) Week 14 Emerging Trends in Edge Intelligence and Paper Review Week 15 Final Project Presentation and Research Report (I) Week 16 Final Project Presentation and Research Report (II) Week 17 (Flexible Learning) Independent Paper Study and Literature Review Report Week 18 (Flexible Learning) Research Presentation, Reflection, and Future Research Planning

評量方式

1. Class Participation and Discussion: 10% 2. Project Proposal Presentation: 20% 3. Literature Review and Paper Analysis Report: 20% 4. Project Implementation and System Development: 30% 5. Final Project Presentation and Research Report: 20%

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 Class material: Handout