本課程以智慧健康於健康產業的應用為主要的情境，系統性介紹資料分析與機器學習於醫療與健康照護領域之應用。課程內容涵蓋醫療資料之匯入、清理、整併與視覺化，以及監督式與非監督式機器學習方法之基礎概念與實務操作。
This course introduces data analytics and machine learning applications within the context of smart health and the health industry. The course covers data import, cleaning, integration, and visualization of healthcare data, as well as fundamental concepts and practical applications of supervised and unsupervised machine learning methods.
Through the use of tools such as Power BI and Python, students will gain hands-on experience in analyzing health-related data, developing analytical models, and creating management-oriented visualizations. The course integrates conceptual instruction with practical exercises to enhance students’ data-driven thinking and interdisciplinary analytical skills for healthcare management, decision support, and smart hospital development.
教學目標Course Objectives
本課程旨在培養學生在智慧健康與健康產業情境下，整合資料處理、資料分析與機器學習方法之能力。透過 Power BI、Python 與基礎機器學習演算法的實務操作，協助學生理解醫療資料之結構特性、分析邏輯與決策應用，並強化其資料導向之分析思維與管理判斷能力。
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
期末報告
Final report
出席狀況
Class attendance
課堂參與與表現
Class involvement
其它
Others
期中考20%，期末考20%，作業24%，線上課程評量16％，出席及參與20％
midterm exam(20%), final exam(20%), assignments(24%), online assessment(16%), class attendance and involvement (20%)