NCHU Course Outline

Course Name	(中) 數據挖掘與視覺化(6956)
	(Eng.) Data Mining and Visualization
Offering Dept	Graduate Institute of Data Science and Information Computing
Course Type	Elective	Credits	3	Teacher	Ching-Ting Tu
Department	Doctoral Program in Big Data Analytics for Industrial Applications / Ph.D	Language	Chinese	英文/EMI		Semester	2025-FALL
Course Description	課程內容將機器學習型(深度學習)理論為基礎應用於視覺語意探索。課程整合線性代數、機率統計與程式設計為基礎，介紹機器學習模型背後含有的數學原，這些機器學習方法包含:線性回歸、主成分分析、及支持向量分類和分群問題。本課程期待培養學生於電腦視覺及機器學習領域技術設計及整合實作的能力，透過視覺探索實際應用之實作來培育學生具備研發思考、程式設計及解決現存問題的能力，並可把所學的數學理論基礎應用到工業界實務面。
Prerequisites						self-directed learning in the course	Y

Relevance of Course Objectives and Core Learning Outcomes(%)

Teaching and Assessment Methods for Course Objectives

Course Objectives

Competency Indicators

Ratio(%)

Teaching Methods

Assessment Methods

1. Python 程式實作能力
2. 機器學習於影像語意(矩陣)探索與搜尋
3. 機器學習方法於影像訊號實務應用與分析

topic Discussion / Production

Exercises

Discussion

Lecturing

Assignment

Quiz

Internship

Course Content and Homework/Schedule/Tests Schedule

Week	Course Content
Week 1	課程介紹&電腦視覺
Week 2	License plate correction &recognition(車牌辨識與校正): Histogram (I)
Week 3	License plate correction &recognition(車牌辨識與校正): Bayesain classifier(II)
Week 4	CNN classifier (I)
Week 5	CNN classifier (II)
Week 6	Face detection (相機的人臉定位技術): Adaboost(I)
Week 7	Face detection (相機的人臉定位技術): Adaboost(II)
Week 8	unsupervised learning-KNN
Week 9	期中考+實作
Week 10	paper report考試(I)
Week 11	Object tracking (物件追蹤): SVM (support vector machine) (I)
Week 12	Object tracking (物件追蹤): SVM (support vector machine) (II)
Week 13	Face recognition- PCA (人臉識別) (Principal Component Analysis)/LDA (Linear Discriminant Analysis) (I)
Week 14	Face recognition- PCA (人臉識別) (Principal Component Analysis)/LDA (Linear Discriminant Analysis) (II)
Week 15	unsupervised learning-AutoEncoder
Week 16	期末考+paper report 考試(II) 自主學習 (I) 自主學習 (II)
self-directed learning

Evaluation

- 演算法考試，
- 課後問答QnA
- 實作
- 科技論文報告與實作
- 筆記與評量
建議:
1. 正在修習程式課程或已有程式實作背景學生加入
2. 具有基本矩陣概念學生
3. 課程需分組

Textbook & other References

上課講義與網路資料

Teaching Aids & Teacher's Website

https://sites.google.com/site/cvlabhomepage/course-ke-cheng/%E6%95%B8%E6%93%9A%E6%8C%96%E6%8E%98%E8%88%87%E8%A6%96%E8%A6%BA%E5%8C%96?authuser=0

Office Hours

預約

Sustainable Development Goals, SDGs(Link URL)

include experience courses：N

Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day：None	Printed Date, year/month/day：2025 / 7 / 02
The second-hand book website：http://www.myub.com.tw/