| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| To empower students on the application of cutting-edge technologies to address healthcare challenges. To enhance healthcare and quality of life by integrating advanced techniques with AI as diagnostic tools for early disease detection. |
|
|
|
| Attendance |
| Oral Presentation |
| Assignment |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Day1
Generation of action potential, function of heart with diseases, ECG signal processing
Day2
Basics of X-ray, CT, PET-CT and MRI
Day3
Neural network: MLP, deep neural network models
Day4
Applications Deep learning of in bio-signal and imaging |
| Week 2 |
Day5
Rehabilitation engineering
Day6
Functional Electrical stimulation for stroke rehabilitation; presentation by students |
| Week 3 |
|
| Week 4 |
|
| Week 5 |
|
| Week 6 |
|
| Week 7 |
|
| Week 8 |
|
| Week 9 |
|
| Week 10 |
|
| Week 11 |
|
| Week 12 |
|
| Week 13 |
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| Week 14 |
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| Week 15 |
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| Week 16 |
|
self-directed
learning |
無自主學習內容 |
|
| Evaluation |
| Oral Presentation, Assignment |
| Textbook & other References |
| BMI by J Karr, sharing slides |
| Teaching Aids & Teacher's Website |
| PPT modes, https://scholar.google.co.in/scholar?hl=en&as_sdt=0%2C5&q=sukanta+sabut&oq= |
| Office Hours |
| Morning: 9-12 |
| Sustainable Development Goals, SDGs(Link URL) |
| 03.Good Health and Well-Being 04.Quality Education | include experience courses：N |
|