113年第2學期-1163 AI Technology and Application 課程資訊

評分方式

評分項目	配分比例	說明
Class Participation	25
Homework	20
Midterm Exam	25
Final Project	30

教育目標

The course emphasizes practical applications in areas such as Data Analysis and Visualization and Machine Learning Model Development. By the end of the course, students will gain hands-on experience with AI technologies, enabling them to use Python for practical problem-solving and to explore innovative approaches in various real-world scenarios.

基本資料

必修課，學分數：0-3
上課時間：五/2,3,4
修課班級：管院國際菁英組1-4
修課年級：1年級以上
選課備註：全英語授課，限管院國際菁英組人工加選修課。可抵免通識自然領域學分。

參考書目

1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3/e), Aurélien Géron(Author),2022