| 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 |
|---|---|---|---|---|
| 5903329 | 教育數據探勘與應用 | Educational Data Mining and Applications | 3.0 | 3 |
| 中文概述 Chinese Description | 本課程為教育大數據微學程之進階課程，主要介紹資料探勘概念與原理，包括: 資料前處理、關聯分析、分類、分群，並運用實際工具如: Weka, Python等，針對教育大數據進行分析。透過程式練習以及期末專題，能讓學生深入理解教育資料分析的基本原理以及實際工具的應用。 | |||
| 英文概述 English Description | This course is one of the advanced courses in the Micro Courses on Educational Big Data. It introduces the basic concepts and principles of data mining, including: data preprocessing, frequent pattern mining, classification, and clustering. Also, students need to use tools such as Weka and Python for educational big data analytics. With the programming exercises and term project, students will be able to learn the fundamental ideas of educational data analysis and real applications with practical tools. | |||
備註：