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

  • 讓學生了解人工智慧在醫學場域與醫學資料的最新應用
  • 相關人工智慧與機器學習技術的介紹
  • 實際醫學資料與問題的練習
  • 課程進度 Progress Description

    進度說明 Progress Description
    1Introduction to AI / Medical Applications
    2Precision Medicine in Cardiology: Integrating with Multi-scale Bioinformatics
    3The prospect of artificial intelligence (AI) in healthcare
    4The application of AI in Neuroscience
    5Artificial intelligence and echocardiography: how AI is changing the interpretation and application of echocardiography
    6mage analysis in Cardiology, demonstrated by echocardiography
    7Machine learning programming I
    8Genomics and AI : That will shape the future of cancer clinics
    9Translating cancer genomics into precision medicine with artificial intelligence.
    10Machine learning programming II
    11The challenges of diagnostic imaging in the era of big data
    12The modern day photon magicians: Radiation oncology
    13Machine learning programming III
    14The application of AI in critical care
    15How artificial intelligence could transform department operations
    16Machine learning programming IV
    17Machine learning programming V
    18Term 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)
    • 工業、創新與基礎建設 (Industry Innovation and infrastructure)

    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