| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 3105222 | 智慧醫療與機器學習基礎 | AI and Machine Learning in Healthcare | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程目標能培育具備跨域能力的智慧醫療人才，課程採理論與實作並重的教學模式，從醫學資料處理基礎出發，循序漸進引導學生掌握機器學習核心技術與深度學習方法。 課程內容涵蓋醫學影像處理、傳統機器學習、深度學習架構及相關進階主題，使學生建立完整的智慧醫療技術基礎。 培養目標包含掌握醫學資料處理與分析技術、具備機器學習與深度學習基礎能力、能夠完成智慧醫療相關專題研究、建立跨域合作與問題解決能力。 | |||
| 英文概述 English Description | This course aims to cultivate interdisciplinary talent in smart healthcare. The curriculum adopts a balanced approach between theory and practice, progressively guiding students from fundamental medical data processing to mastering core machine learning techniques and deep learning methods. Course content covers medical image processing, traditional machine learning, deep learning architectures, and related advanced topics, establishing a comprehensive foundation in smart healthcare technologies. Through multiple practical units and a capstone project, the course develops students' technical expertise, independent research capabilities, and cross-disciplinary communication skills in the smart healthcare domain. Learning objectives include mastering medical data processing and analysis techniques, developing foundational proficiency in machine learning and deep learning, completing practical projects in smart healthcare applications, and building cross-disciplinary collaboration and pr | |||
| 核心能力指標 | A.專精電力與能源、電力電子、控制、資通等工程領域知識之能力。 B.策劃及執行專題研究之能力。 C.閱讀、撰寫與簡報專業論文之能力。 E.與不同領域人員協調整合之能力。 H.終身自我學習成長與研究之能力。 I.培養科技英文之能力。 | |||
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