基本素養 Basic Literacy
□ 畢業生應具備科技人文素養及資訊工程倫理之精神
graduates should equip with both the attitude of technological/cultural literacy and the consciousness of information engineering ethics
□ 畢業生應具備良好溝通技巧及國際觀
graduates should equip with appropriate communication skill and global view
核心能力 Competence
■ 畢業生應具備基礎專業數學及資訊理論知識之基本能力
graduates should equip with the basic capability of the fundamental of professional mathematics and theoretical knowledge in informatics
■ 畢業生應具備資訊理論推導及實驗設計、數據分析歸納之能力
graduates should equip with the capability of information theory derivation、experiment design and experimental data analysis/induction
□ 畢業生應具備培養學習興趣及持續學習之能力
graduates should equip with the capability of learning interest development and continuous learning
■ 畢業生應具備獨立、創新思維及發掘、分析、解決資訊相關問題之能力
graduates should equip with the capability to think creatively and independently and to explore, analyze, and solve information-related problems
■ 畢業生應具備資訊系統設計、測試及驗證之能力
graduates should equip with the information system ability in designing and verification
□ 畢業生應具備資訊系統整合之能力
graduates should equip with the capability of system integration
□ 畢業生應具備負責之工作態度及有效團隊合作之能力
graduates should equip with a responsible attitude in working and the capability of effective team-work collaboration
□ 具備有效溝通表達的專業語文能力
課程概述 Course Description
透過醫學院老師的實際場域應用與資料分析流程介紹, 讓學生可以學習人工智慧與深度學習在醫學資料與服務上的應用，並透過資料處理與建構機器學習模型的訓練，學習智慧運算分析的技巧.透過醫學院老師的實際場域應用與資料分析流程介紹, 讓學生可以學習人工智慧與深度學習在醫學資料與服務上的應用，並透過資料處理與建構機器學習模型的訓練，學習智慧運算分析的技巧.
課程學習目標 Course Objectives
課程進度 Progress Description
| 進度說明 Progress Description | |
|---|---|
| 1 | Introduction to AI / Medical Applications |
| 2 | Precision Medicine in Cardiology: Integrating with Multi-scale Bioinformatics |
| 3 | The prospect of artificial intelligence (AI) in healthcare |
| 4 | The application of AI in Neuroscience |
| 5 | Artificial intelligence and echocardiography: how AI is changing the interpretation and application of echocardiography |
| 6 | mage analysis in Cardiology, demonstrated by echocardiography |
| 7 | Machine learning programming I |
| 8 | Genomics and AI : That will shape the future of cancer clinics |
| 9 | Translating cancer genomics into precision medicine with artificial intelligence. |
| 10 | Machine learning programming II |
| 11 | The challenges of diagnostic imaging in the era of big data |
| 12 | The modern day photon magicians: Radiation oncology |
| 13 | Machine learning programming III |
| 14 | The application of AI in critical care |
| 15 | How artificial intelligence could transform department operations |
| 16 | Machine learning programming IV |
| 17 | Machine learning programming V |
| 18 | Term Project Presentation |
以上每週進度教師可依上課情況做適度調整。The schedule may be subject to change.
課程是否與永續發展目標相關調查
Survey of the conntent relevant to SDGs
本課程與SDGs相關項目如下：
This course is relevant to these items of SDGs as following:
- 健康與福祉 (Good health and Well Being)
有關課程其他調查 Other Surveys of Courses
1.本課程是否規劃業界教師參與教學或演講? 否Is there any industry specialist invited in this course? How many times? No
2.本課程是否規劃含校外實習(並非參訪)? 否
Are there any internships involved in the course? How many hours? No
3.本課程是否可歸認為學術倫理課程? 否
Is this course recognized as an academic ethics course? In the course how many hours are regarding academic ethics topics? No
4.本課程是否屬進入社區實踐課程? 否
Is this course recognized as a Community engagement and Service learning course? Which community will be engaged? No