Syllabus

Course: Data Mining (資料探勘)

Credit: 3

Class: 資訊工程學系 大三 選修

Instructor: 邱志義 (email: cychiu@cs.ccu.edu.tw)

Teaching Assistant: 盧柏愷 (email: kentlu510@gmail.com)

Course Description:

1. Introduce the tools and techniques for machine learning that are used in data mining.

2. Experiment your data with the data mining and machine learning tools.

Reference:

1. (Textbook) Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal, James Foulds, "Data Mining: Practical Machine Learning Tools and Techniques," The Morgan Kaufmann Series, 5rd ed., 2025. (東華圖書代理) official site

2. Machine Learning Crash Course (Google Developers)

3. Introduction to Deep Learning (Andrew Ng)

Evaluation:

1. Homework assignment (30%)

2. Term project (15%)

3. Midterm exam (25%)

4. Final term (30%)