本課程包括1.商業智慧(BI); 2.健康大數據分析(Big data) ;3.人工智慧(AI)的基本原理及於健康產業的應用，以線上課程及實體課程講解理論與應用 ，並安排電腦教室上機實作練習，讓學生對智慧醫療產生興趣，並對其運作有初步的了解。
This course includes 1. Business intelligence (BI); 2. Health big data analysis (Big data); 3. The basic principles of artificial intelligence (AI) and its application in the health industry, using online and in-person courses to explain the theory and application , and arrange practical exercises in computer classrooms to make students interested in smart healthcare and have a preliminary understanding of its operation.
教學目標Course Objectives
本課程旨在讓學生了解智慧醫療於健康產業與醫務管理的應用，涵蓋BI、BIG DATA、AI三個面向。先介紹目前現有的應用，再教授基本的理論及軟體應用，並讓學生由做中學產生興趣及學習其中的原理，進而強化自學的動機與技能。
This course aims to enable students to understand the application of smart healthcare in the health industry and medical management, covering three aspects: BI, BIG DATA, and AI. First, we introduce the current applications, then teach the basic theories and software applications, and let students develop interest and learn the principles through practice, thereby strengthening their motivation and skills for self-study.
先修科目Prerequisites
無
None
教學方式Teaching Methods
同步教學(使用虛擬教室如：Moodle同步教室、Google Meet、Microsoft Classroom等)
Synchronous Online Learning
非同步教學(主要提供線上影音教材，透過線上教學平台進行作業及討論)
Asynchronous Online Learning
講課
Lecturing
學生實作
Student hands-on practice
習題練習、書面報告
Exercise, Written report
小組討論、腦力激盪(如案例討論、電影欣賞等)
Group discussion, Brain storming, e.g., Case study, Event discussion, Movie review
學生上台報告、角色演練
Oral presentation, Role playing
評量方式Assessment
實作測驗
Practical exam
期中筆試
Midterm exam
期末筆試
Final exam
小組作業
Group homework
小組上台報告
Group oral report
出席狀況
Class attendance
課堂參與與表現
Class involvement
期中考20%，期末考20%，作業24%，線上課程評量16％，出席及課堂參與20％
midterm exam(20%), final exam(20%), assignments(24%), online assessment(16%), class attendance and involvement (20%)
參考書目Reference
1.吳燦銘(2022)。Power BI 實作大數據篩選分析與商業圖表設計。博碩文化 ，新北市。
2.施威銘研究室(2022)。FLAG‘S 創客‧自造者工作坊Python×AI 生醫感測健康大應用。旗標出版社，台北市。
3.自編講義。
4.網路教學視頻。
5.醫療及其它健康產業介紹視頻。
教學進度Course Schedule
2025/02/17 1.課程介紹;
2.智慧健康 (實體課程)
1. Course introduction;
2. Smart health (in-person class)
范靜媛(Fann, Ching-Yuan) 2025/02/24 智慧醫院介紹 (非同步線上課程)
Introduction to smart hospitals (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/03/03 大數據分析於健康產業的應用 (非同步線上課程)
Application of big data analysis in health industry (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/03/10 POWER BI:1.簡介;2.資料處理 (非同步線上課程)/作業1:分別用Excel、Power BI、SAS進行資料的匯入，並比較其優缺點(非同步線上課程)
POWER BI: 1. Introduction; 2. Data management (non-synchronous online course)/Exercise 1: Use Excel, Power BI and SAS to import data respectively, and compare their advantages and disadvantages (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/03/17 POWER BI:建立新資料行(變項)及新增量值- DAX函數與M語言(非同步線上課程)
POWER BI: Create new data rows (variables) and add new values - DAX functions and M language (asynchronous online course)
范靜媛(Fann, Ching-Yuan) 2025/03/24 POWER BI:利用DAX函數及M語言定義新的資料行(作業2) (實體課程:上機實作)
POWER BI: Create new data columns (variables) - using DAX functions and M language ( Exercise2)(in-person class)
范靜媛(Fann, Ching-Yuan) 2025/03/31 Power BI：資料附加查詢、合併查詢、編輯查詢、建立關聯/作業3:歷年資料(如診斷檔)附加查詢,不同檔之合併查詢(如診斷檔、與費用檔)，與地址檔建立關聯(非同步線上課程)
Power BI: additional data query, combined query, editing query, establishment of association/Exercise 3: additional query of data over the years (such as diagnostic files), merged query of different files (such as diagnostic files, and expense files),and establishment of association with address files (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/04/07 Power BI：資料視覺化/作業4:建立具管理功能之儀表板(實體課程:上機實作)
Power BI: Data visualization/Exercise 4: Create a dashboard with management functions (classroom computer implementation) (in-person class)
范靜媛(Fann, Ching-Yuan) 2025/04/14 期中考（實體課程)
Mid-term exam (in-person class)
范靜媛(Fann, Ching-Yuan) 2025/04/21 機器學習簡介(非同步線上課程)
Introduction to machine learning(ML) (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/04/28 基本機器學習演算法介紹(I)/作業5:K-means (非同步線上課程)
Introduction to basic machine learning algorithms (I)/Exercise 5: K-means (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/05/05 基本機器學習演算法介紹(II)/作業6:簡單線性迴歸分析 (非同步線上課程)
Introduction to basic machine learning algorithms (II)/Exercise 6: Simple liner regression analysis (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/05/12 關聯分析-Apriori演算法及其於健康產業的應用 (非同步線上課程)
Association analysis: Apriori algorithm and Its applications in the health industry (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/05/19 藥妝店銷售產品關聯分析(作業7)(同步線上課程)
Association analysis of products sold in drug stores (Exercise 7) (synchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/05/26 AIoT於健康產業的應用(同步線上課程)
Application of AIoT in the health industry (synchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/06/02 自造生醫感測器(作業8)(實體課程:分組實作及口頭報告)
Classroom Practice: Making biomedical sensor maker (Exercise 8) (in-person class: group practice and oral presentation)
范靜媛(Fann, Ching-Yuan) 2025/06/09 智慧醫務管理系統對醫療效率與品質提昇之實證(同步線上課程)
Evidence of smart health services management system on improving the efficiency and quality of health care services.and establishment of association with address files (asynchronous online class)
范靜媛(Fann, Ching-Yuan) 2025/06/16 期末考(實體課程)
Final exam (in-person class)
范靜媛(Fann, Ching-Yuan)