| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 掌握機器學習之常用資料庫及工具，提升學生於人工智慧機器學習應用於實際場域之能力 |
| 1.The ability to apply the knowledge of math, science, and mechanical engineering. |
| 2.The ability to design and conduct experiments, as well as to analyze the data obtained. |
| 3.The ability to work with others as a team to design and manufacture products of mechanical engineering systems. |
| 4.The ability humanities awareness and a knowledge of contemporary issues, and to understand the impact of science and engineering technologies, environmental, societal, and global context. |
| 5.The ability of continuing study and self-learning. |
| 6.The knowledge of professional ethics and social responsibilities of a mechanical engineer. |
|
|
| Exercises |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Assignment |
| Quiz |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
課程導論與 Git 基本操作 |
| Week 2 |
分支與合併操作 |
| Week 3 |
GitHub 協作流程與最佳實踐 |
| Week 4 |
MLOps 中的版本管理應用 |
| Week 5 |
Kubernetes 基礎與容器化技術 |
| Week 6 |
Kubernetes 部署與管理 |
| Week 7 |
模型更新與滾動更新操作 |
| Week 8 |
Hugging Face 平台與模型庫介紹 |
| Week 9 |
預訓練模型微調 |
| Week 10 |
案例分析與應用報告 |
| Week 11 |
MLOps 基礎概念與流程 |
| Week 12 |
自動化工作流設計（CI/CD） |
| Week 13 |
模型監控與版本管理 |
| Week 14 |
雲端服務架構介紹 |
| Week 15 |
模型部署至雲端服務 |
| Week 16 |
雲端 CI/CD 流程設計與應用 |
self-directed
learning |
1.模型性能監控與自動更新
2.期末專題展示與討論
|
|
| Evaluation |
| 10%出席 20%平時表現(課堂作業小考) 30%期末專題報告 50%各單元測驗 (每三周一單元測驗) |
| Textbook & other References |
| 自編教材 |
| Teaching Aids & Teacher's Website |
| Ilearning |
| Office Hours |
| 授課當天1200-1300 |
| Sustainable Development Goals, SDGs(Link URL) |
| 04.Quality Education 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure 11.Sustainable Cities and Communities | include experience courses：Y |
|