| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| This course aims to introduce healthcare technologies for elderly populations, including point-of-care diagnostics, biosensors, wearable devices, and remote healthcare systems. Students will also learn how artificial intelligence supports health data interpretation and clinical decision-making in elderly healthcare. |
|
|
| topic Discussion/Production |
| Exercises |
| Discussion |
| Lecturing |
|
| Attendance |
| Oral Presentation |
| Assignment |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
第1天
Aging Society and Healthcare Needs of Elderly People
|
| Week 2 |
第2天
Point-of-Care Diagnostic Technologies for Elderly Healthcare |
| Week 3 |
第3天
Biosensors and Wearable Technologies for Elderly Monitoring |
| Week 4 |
第4天
Remote Healthcare |
| Week 5 |
第5天
AI Support for Diagnostics and Monitoring in Elderly Care |
| Week 6 |
第6天
AI-Enabled Point-of-Care Healthcare Systems for the Elderly |
| Week 7 |
|
| Week 8 |
|
| Week 9 |
|
| Week 10 |
|
| Week 11 |
|
| Week 12 |
|
| Week 13 |
|
| Week 14 |
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| Week 15 |
|
| Week 16 |
|
self-directed
learning |
03.Preparing presentations or reports related to industry and academia.
|
|
| Evaluation |
| Assignments |
| Textbook & other References |
Artificial intelligence in elderly healthcare: A scoping review, Ageing Research Reviews 83 (2023) 101808
Smart aging: integrating AI into elderly healthcare, Tana et al. BMC Geriatrics (2025) 25:1024 |
| Teaching Aids & Teacher's Website |
| TBA |
| Office Hours |
| TBA |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|