| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 本課程之目標為提供具基礎程式及演算訓練之學生在醫學研究上應用人工智慧的經驗 |
|
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| Attendance |
| Oral Presentation |
| Assignment |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
智慧醫療的實務經驗分享（一） |
| Week 2 |
智慧醫療的實務經驗分享（二） |
| Week 3 |
智慧醫療的實務經驗分享（三） |
| Week 4 |
流行病學研究 |
| Week 5 |
免疫風濕疾病流行病學研究與應用 |
| Week 6 |
免疫風濕疾病智慧醫療研究專題討論 |
| Week 7 |
可解釋機器學習 |
| Week 8 |
智慧醫療落地運用 |
| Week 9 |
科學論文寫作-1 |
| Week 10 |
科學論文寫作-2 |
| Week 11 |
精準醫療 |
| Week 12 |
醫療數據的結構 |
| Week 13 |
機器學習在醫療數據上的應用 |
| Week 14 |
Stroke in AI data analysis |
| Week 15 |
Post stroke patients rehabilitation by using AI technology |
| Week 16 |
TIA and lacunae stroke and associated 30 day outcome and recurrence rate by AI prediction model |
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
1. 出席 20%
2. 討論 30%
3. 專題報告 50%
|
| Textbook & other References |
|
| Teaching Aids & Teacher's Website |
| ilearning3 |
| Office Hours |
|
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|