各項資料探勘基本原理與技術，包括決策樹，Association rules，K-mean演算法，基因演算法，類神經網路，資料倉儲，與各項統計技術等。學生並需學習操作一個資料探勘軟體。Various basic principles and technologies of data exploration, including decision trees, Association rules, K-mean algorithm, genetic algorithm, neural network, data warehousing, and various statistical techniques, etc. Students also need to learn to operate a data mining software.
讓學生知悉資料探勘如何運作，原理為何
Let students know how data mining works and what its principles are.
An Introduction to Data Science
Jeffrey Stanton, Syracuse University.
an Introduction to data science
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Term ProjectTerm Project term project |
30 | 期末專題實作 |
| 課程參與課程參與 course participation |
10 | 上課互動 |
| 作業與上台報告作業與上台報告 Homework and stage reports |
60 | 多次作業及上台報告 |
