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Lecturer: Yuan-Fong Su (蘇元風)
Email: yuanfongsu@mail.ntou.edu.tw
Phone: (02) 2462-2192 #6147
Webpage: https://hreweb.ntou.edu.tw/p/404-1059-55391.php?Lang=zh-tw
Course ID: M5201N5J
Credits: 3
Objective: This course aims to introducing the techniques of data mining and the students will learn data collecting, cleaning, processing, and statistically analyzing and extract useful information.
Course Prerequisites: None
Outline:
1. Introduction to data mining
2. Data collecting, cleaning, processing
3. Statistical methods for data mining
4. Application case study
Teaching Method: Direction instruction and part of inquiry-based learning
Reference:
1. An introduction to Statistical Learning
Course Schedule (subject to change):
1. Introduction to data mining
2. Data collecting
3. Data cleaning
4. Statistical analysis
5. Regression
6. Multivariate statistics
7. Principal component analysis
8. Mid-term exam
9. Unsupervised learning
10. Supervised learning (1)
11. Supervised learning(2)
12. Artificial neural network (1)
13. Artificial neural network (2)
14. Support vector machine
15. Decision tree and random forest s
16. Final project
17. Supplementary
18. Supplementary
Evaluation:
1. Assignments (60%)
2. Mid-term report (10%)
3. Final report (30%)
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