| 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
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