智慧醫療資料分析程式設計

This course aims to help students with the ability to apply programming and artificial intelligence methods for intelligent medical data analysis. The course begins with programming fundamentals and gradually covers biomedical data preprocessing, medical image and signal processing, and introduces practical case studies in machine learning and AI for healthcare. Through lectures, hands-on exercises, and project presentations, students will master data processing workflows, algorithm applications, and research practices, ultimately developing the skills to independently analyze medical data and propose innovative solutions

Basic programming concepts (experience with any programming language is helpful, but beginners can also quickly catch up). Fundamental mathematics and statistics knowledge (linear algebra, probability, and statistics). Background in medicine, life sciences, or engineering is advantageous for understanding applications

1. Attendance & Grading a) Attendance will be calculated proportionally and will contribute to the final grade. b) Online Synchronous Learning: This course supports online synchronous sessions. However, students must consult with and obtain prior approval from the instructor before they are permitted to attend the course online. c) Approved absences will be considered in grading; unapproved absences will directly affect the attendance score. 2. Leave of Absence Students must request leave through the official university system, in accordance with school regulations. 3. Hardware Requirements Students are required to bring their own laptops for the hands-on sessions.

Class Participation and Discussion: 20% Assignments: 20% Midterm Project: 30% Final Project Report: 30%

Hangout References: 1. Python for health data science: a hands-on introduction, online textbook 2. Healthcare Data Analytics, Reddy, Chandan K., Aggarwal, Charu C., CRC Press, 2020

地點

EF-655A

時間

Mon 10:00 - 12:00, Other appointment by email

聯絡方式

email